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Sample records for gene structure identification

  1. Identification of Enzyme Genes Using Chemical Structure Alignments of Substrate-Product Pairs.

    PubMed

    Moriya, Yuki; Yamada, Takuji; Okuda, Shujiro; Nakagawa, Zenichi; Kotera, Masaaki; Tokimatsu, Toshiaki; Kanehisa, Minoru; Goto, Susumu

    2016-03-28

    Although there are several databases that contain data on many metabolites and reactions in biochemical pathways, there is still a big gap in the numbers between experimentally identified enzymes and metabolites. It is supposed that many catalytic enzyme genes are still unknown. Although there are previous studies that estimate the number of candidate enzyme genes, these studies required some additional information aside from the structures of metabolites such as gene expression and order in the genome. In this study, we developed a novel method to identify a candidate enzyme gene of a reaction using the chemical structures of the substrate-product pair (reactant pair). The proposed method is based on a search for similar reactant pairs in a reference database and offers ortholog groups that possibly mediate the given reaction. We applied the proposed method to two experimentally validated reactions. As a result, we confirmed that the histidine transaminase was correctly identified. Although our method could not directly identify the asparagine oxo-acid transaminase, we successfully found the paralog gene most similar to the correct enzyme gene. We also applied our method to infer candidate enzyme genes in the mesaconate pathway. The advantage of our method lies in the prediction of possible genes for orphan enzyme reactions where any associated gene sequences are not determined yet. We believe that this approach will facilitate experimental identification of genes for orphan enzymes.

  2. Identification of the Arabidopsis CHL3 gene as the nitrate reductase structural gene NIA2.

    PubMed Central

    Wilkinson, J Q; Crawford, N M

    1991-01-01

    Chlorate, the chlorine analog of nitrate, is a herbicide that has been used to select mutants impaired in the process of nitrate assimilation. In Arabidopsis thaliana, mutations at any one of eight distinct loci confer resistance to chlorate. The molecular identities of the genes at these loci are not known; however, one of these loci--chl3--maps very near the nitrate reductase structural gene NIA2. Through the isolation, characterization, and genetic analysis of new chlorate-resistant mutants generated by gamma irradiation, we have been able to demonstrate that the CHL3 gene and the NIA2 gene are identical. Three new chlorate-resistant mutants were identified that had deletions of the entire NIA2 gene. These nia2 null mutants were viable and still retained 10% of wild-type nitrate reductase activity in the leaves of the plants. All three deletion mutations were found to be new alleles of chl3. Introduction of the NIA2 gene back into these chl3 mutants by Agrobacterium-mediated transformation partially complemented their mutant phenotype. From these data, we conclude that Arabidopsis has at least two functional nitrate reductase genes and that the NIA2 gene product accounts for the majority of the leaf nitrate reductase activity and chlorate sensitivity of Arabidopsis plants. PMID:1840922

  3. A Metastate HMM with Application to Gene Structure Identification in Eukaryotes

    NASA Astrophysics Data System (ADS)

    Winters-Hilt, Stephen; Baribault, Carl

    2010-12-01

    We introduce a generalized-clique hidden Markov model (HMM) and apply it to gene finding in eukaryotes ( C. elegans). We demonstrate a HMM structure identification platform that is novel and robustly-performing in a number of ways. The generalized clique HMM begins by enlarging the primitive hidden states associated with the individual base labels (as exon, intron, or junk) to substrings of primitive hidden states, or footprint states, having a minimal length greater than the footprint state length. The emissions are likewise expanded to higher order in the fundamental joint probability that is the basis of the generalized-clique, or "metastate", HMM. We then consider application to eukaryotic gene finding and show how such a metastate HMM improves the strength of coding/noncoding-transition contributions to gene-structure identification. We will describe situations where the coding/noncoding-transition modeling can effectively recapture the exon and intron heavy tail distribution modeling capability as well as manage the exon-start needle-in-the-haystack problem. In analysis of the C. elegans genome we show that the sensitivity and specificity (SN,SP) results for both the individual-state and full-exon predictions are greatly enhanced over the standard HMM when using the generalized-clique HMM.

  4. The use of R-looping for structural gene identification and mRNA purification.

    PubMed Central

    Woolford, J L; Rosbash, M

    1979-01-01

    A method is presented for the purification of mRNAs and the identification of structural gene sequences in recombinant DNA molecules. RNA is hybridized to double-stranded linear DNA such that R-loops are formed between most DNAs and their complementary RNA sequences. These R-loops are purified from unhybridized RNAs by gel filtration chromatography in the presence of a high concentration of salt. The complementary RNAs are released from the R-loops by heating, and are assayed by gel electrophoresis or cell free translation to determine their purity and to identify the proteins for which they code. We have demonstrated that recombinant DNAs containing sequences for abundant or moderately abundant mRNAs of Saccharomyces cerevisiae can be identified by this means. Images PMID:379820

  5. yrGATE: a web-based gene-structure annotation tool for the identification and dissemination of eukaryotic genes.

    PubMed

    Wilkerson, Matthew D; Schlueter, Shannon D; Brendel, Volker

    2006-01-01

    Your Gene structure Annotation Tool for Eukaryotes (yrGATE) provides an Annotation Tool and Community Utilities for worldwide web-based community genome and gene annotation. Annotators can evaluate gene structure evidence derived from multiple sources to create gene structure annotations. Administrators regulate the acceptance of annotations into published gene sets. yrGATE is designed to facilitate rapid and accurate annotation of emerging genomes as well as to confirm, refine, or correct currently published annotations. yrGATE is highly portable and supports different standard input and output formats. The yrGATE software and usage cases are available at http://www.plantgdb.org/prj/yrGATE.

  6. The structure of the human peripherin gene (PRPH) and identification of potential regulatory elements

    SciTech Connect

    Foley, J.; Ley, C.A.; Parysek, L.M.

    1994-07-15

    The authors determined the complete nucleotide sequence of the coding region of the human peripherin gene (PRPH), as well as 742 bp 5{prime} to the cap site and 584 bp 3{prime} to the stop codon, and compared its structure and sequence to the rat and mouse genes. The overall structure of 9 exons separated by 8 introns is conserved among these three mammalian species. The nucleotide sequences of the human peripherin gene exons were 90% identical to the rat gene sequences, and the predicted human peripherin protein differed from rat peripherin at only 18 of 475 amino acid residues. Comparison of the 5{prime} flanking regions of the human peripherin gene and rodent genes revealed extensive areas of high homology. Additional conserved segments were found in introns 1 and 2. Within the 5{prime} region, potential regulatory sequences, including a nerve growth factor negative regulatory element, a Hox protein binding site, and a heat shock element, were identified in all peripherin genes. The positional conservation of each element suggests that they may be important in the tissue-specific, developmental-specific, and injury-specific expression of the peripherin gene. 24 refs., 2 figs., 1 tab.

  7. Identification of human gene structure using linear discriminant functions and dynamic programming

    SciTech Connect

    Solovyev, V.V.; Salamov, A.A.; Lawrence, C.B.

    1995-12-31

    Development of advanced technique to identify gene structure is one of the main challenges of the Human Genome Project. Discriminant analysis was applied to the construction of recognition functions for various components of gene structure. Linear discriminant functions for splice sites, 5{prime}-coding, internal exon, and Y-coding region recognition have been developed. A gene structure prediction system FGENE has been developed based on the exon recognition functions. We compute a graph of mutual compatibility of different exons and present a gene structure models as paths of this directed acyclic graph. For an optimal model selection we apply a variant of dynamic programming algorithm to search for the path in the graph with the maximal value of the corresponding discriminant functions. Prediction by FGENE for 185 complete human gene sequences has 81% exact exon recognition accuracy and 91% accuracy at the level of individual exon nucleotides with the correlation coefficient (C) equals 0.90. Testing FGENE on 35 genes not used in the development of discriminant functions shows 71% accuracy of exact exon prediction and 89% at the nucleotide level (C=0.86). FGENE compares very favorably with the other programs currently used to predict protein-coding regions. Analysis of uncharacterized human sequences based on our methods for splice site (HSPL, RNASPL), internal exons (HEXON), all type of exons (FEXH) and human (FGENEH) and bacterial (CDSB) gene structure prediction and recognition of human and bacterial sequences (HBR) (to test a library for E. coli contamination) is available through the University of Houston, Weizmann Institute of Science network server and a WWW page of the Human Genome Center at Baylor College of Medicine.

  8. Identification of the structural gene for dipeptidyl aminopeptidase yscV (DAP2) of Saccharomyces cerevisiae.

    PubMed Central

    Suárez Rendueles, P; Wolf, D H

    1987-01-01

    Mutants of Saccharomyces cerevisiae lacking dipeptidyl aminopeptidase yscV were isolated from a strain already defective in dipeptidyl aminopeptidase yscIV, an enzyme with overlapping substrate specificity. The mutants were identified by a staining technique with the chromogenic substrate Ala-Pro-4-methoxy-beta-naphthylamide to screen colonies for the absence of the enzyme. One of the mutants had a thermolabile activity, indicating that it contained a structural gene mutation. The 53 mutants analyzed fell into one complementation group that corresponded to the yscV structural gene, DAP2. The defect segregated 2:2 in meiotic tetrads, indicating a single chromosomal gene mutation, which was shown to be recessive. Diploids heterozygous for DAP2 displayed gene dosage effects with respect to yscV enzyme activity. The absence of dipeptidyl aminopeptidase yscV or the combined loss of both dipeptidyl aminopeptidases yscIV and yscV did not affect mitotic growth under rich or poor growth conditions. In contrast to the dipeptidyl aminopeptidase yscIV lesion (ste13), which leads to alpha sterility because strains secrete incompletely processed forms of the alpha-factor pheromone, the dipeptidyl aminopeptidase yscV lesion did not affect mating, and strains produced fully active alpha-factor pheromone. dap2 mutants did not show any obvious phenotype under a variety of conditions tested. PMID:3305478

  9. Overview of PSB track on gene structure identification in large-scale genomic sequence

    SciTech Connect

    Uberbacher, E.C.; Xu, Y.

    1998-12-31

    The recent funding of more than a dozen major genome centers to begin community-wide high-throughput sequencing of the human genome has created a significant new challenge for the computational analysis of DNA sequence and the prediction of gene structure and function. It has been estimated that on average from 1996 to 2003, approximately 2 million bases of newly finished DNA sequence will be produced every day and be made available on the Internet and in central databases. The finished (fully assembled) sequence generated each day will represent approximately 75 new genes (and their respective proteins), and many times this number will be represented in partially completed sequences. The information contained in these is of immeasurable value to medical research, biotechnology, the pharmaceutical industry and researchers in a host of fields ranging from microorganism metabolism, to structural biology, to bioremediation. Sequencing of microorganisms and other model organisms is also ramping up at a very rapid rate. The genomes for yeast and several microorganisms such as H. influenza have recently been fully sequenced, although the significance of many genes remains to be determined.

  10. Structure of the human histamine H3 receptor gene (HRH3) and identification of naturally occurring variations.

    PubMed

    Wiedemann, P; Bönisch, H; Oerters, F; Brüss, M

    2002-04-01

    Neurotransmitter release is modulated by presynaptic histamine H(3) receptors located on histaminergic, noradrenergic and other nonhistaminergic neurons of the central and peripheral nervous system. Here, we report the determination of the structure of the human histamine H(3) receptor gene (HRH3) and the identification of a missense mutation (Ala280Val) in a patient with Shy-Drager syndrome. The coding region of the gene consists of three exons interrupted by two introns of approximately 1 kb in size. Exon boundaries only partly correspond to transmembrane domain organization. The homozygous Ala280Val variation in the third intracellular loop of the histamine H(3) receptor of a patient with Shy-Drager syndrome may be related to the etiology of the illness due to altered norepinephrine release. Furthermore, knowledge of the gene structure allows the verification of alternative splicing of the receptor. The corresponding histamine H(3) receptor isoforms as reported for the guinea pig and rat histamine H(3) receptor in different brain regions are not found in the human brain.

  11. Differentially Coexpressed Disease Gene Identification Based on Gene Coexpression Network.

    PubMed

    Jiang, Xue; Zhang, Han; Quan, Xiongwen

    2016-01-01

    Screening disease-related genes by analyzing gene expression data has become a popular theme. Traditional disease-related gene selection methods always focus on identifying differentially expressed gene between case samples and a control group. These traditional methods may not fully consider the changes of interactions between genes at different cell states and the dynamic processes of gene expression levels during the disease progression. However, in order to understand the mechanism of disease, it is important to explore the dynamic changes of interactions between genes in biological networks at different cell states. In this study, we designed a novel framework to identify disease-related genes and developed a differentially coexpressed disease-related gene identification method based on gene coexpression network (DCGN) to screen differentially coexpressed genes. We firstly constructed phase-specific gene coexpression network using time-series gene expression data and defined the conception of differential coexpression of genes in coexpression network. Then, we designed two metrics to measure the value of gene differential coexpression according to the change of local topological structures between different phase-specific networks. Finally, we conducted meta-analysis of gene differential coexpression based on the rank-product method. Experimental results demonstrated the feasibility and effectiveness of DCGN and the superior performance of DCGN over other popular disease-related gene selection methods through real-world gene expression data sets.

  12. Differentially Coexpressed Disease Gene Identification Based on Gene Coexpression Network

    PubMed Central

    Quan, Xiongwen

    2016-01-01

    Screening disease-related genes by analyzing gene expression data has become a popular theme. Traditional disease-related gene selection methods always focus on identifying differentially expressed gene between case samples and a control group. These traditional methods may not fully consider the changes of interactions between genes at different cell states and the dynamic processes of gene expression levels during the disease progression. However, in order to understand the mechanism of disease, it is important to explore the dynamic changes of interactions between genes in biological networks at different cell states. In this study, we designed a novel framework to identify disease-related genes and developed a differentially coexpressed disease-related gene identification method based on gene coexpression network (DCGN) to screen differentially coexpressed genes. We firstly constructed phase-specific gene coexpression network using time-series gene expression data and defined the conception of differential coexpression of genes in coexpression network. Then, we designed two metrics to measure the value of gene differential coexpression according to the change of local topological structures between different phase-specific networks. Finally, we conducted meta-analysis of gene differential coexpression based on the rank-product method. Experimental results demonstrated the feasibility and effectiveness of DCGN and the superior performance of DCGN over other popular disease-related gene selection methods through real-world gene expression data sets. PMID:28042568

  13. Identification and structural analysis of a ribosomal RNA gene promoter from Thiobacillus ferrooxidans.

    PubMed

    Takamiya, M; Salazar, O; Vargas, D; Jedlicki, E; Orellana, O

    1990-10-15

    The 5'-terminus of a rRNA operon (rrnT2) from Thiobacillus ferrooxidans was characterized. The rRNA promoters from this microorganism were identified by means of a functional assay in Escherichia coli. DNA sequencing of the promoter region, upstream the 16 S rRNA gene, showed the presence of a consensus sequence for bacterial ribosomal promoters. Other features such as a 'discriminator' sequence, antiterminator elements and an upstream hexanucleotide common to several rRNA operons were also found. Two other putative transcription promoters were also identified.

  14. Identification and Characterization of MAE1, the Saccharomyces cerevisiae Structural Gene Encoding Mitochondrial Malic Enzyme

    PubMed Central

    Boles, Eckhard; de Jong-Gubbels, Patricia; Pronk, Jack T.

    1998-01-01

    Pyruvate, a precursor for several amino acids, can be synthesized from phosphoenolpyruvate by pyruvate kinase. Nevertheless, pyk1 pyk2 mutants of Saccharomyces cerevisiae devoid of pyruvate kinase activity grew normally on ethanol in defined media, indicating the presence of an alternative route for pyruvate synthesis. A candidate for this role is malic enzyme, which catalyzes the oxidative decarboxylation of malate to pyruvate. Disruption of open reading frame YKL029c, which is homologous to malic enzyme genes from other organisms, abolished malic enzyme activity in extracts of glucose-grown cells. Conversely, overexpression of YKL029c/MAE1 from the MET25 promoter resulted in an up to 33-fold increase of malic enzyme activity. Growth studies with mutants demonstrated that presence of either Pyk1p or Mae1p is required for growth on ethanol. Mutants lacking both enzymes could be rescued by addition of alanine or pyruvate to ethanol cultures. Disruption of MAE1 alone did not result in a clear phenotype. Regulation of MAE1 was studied by determining enzyme activities and MAE1 mRNA levels in wild-type cultures and by measuring β-galactosidase activities in a strain carrying a MAE1::lacZ fusion. Both in shake flask cultures and in carbon-limited chemostat cultures, MAE1 was constitutively expressed. A three- to fourfold induction was observed during anaerobic growth on glucose. Subcellular fractionation experiments indicated that malic enzyme in S. cerevisiae is a mitochondrial enzyme. Its regulation and localization suggest a role in the provision of intramitochondrial NADPH or pyruvate under anaerobic growth conditions. However, since null mutants could still grow anaerobically, this function is apparently not essential. PMID:9603875

  15. Identification of Mating Type Genes in the Bipolar Basidiomycetous Yeast Rhodosporidium toruloides: First Insight into the MAT Locus Structure of the Sporidiobolales▿ †

    PubMed Central

    Coelho, Marco A.; Rosa, André; Rodrigues, Nádia; Fonseca, Álvaro; Gonçalves, Paula

    2008-01-01

    Rhodosporidium toruloides is a heterothallic, bipolar, red yeast that belongs to the Sporidiobolales, an order within a major lineage of basidiomycetes, the Pucciniomycotina. In contrast to other basidiomycetes, considerably less is known about the nature of the mating type (MAT) loci that control sexual reproduction in this lineage. Three genes (RHA1, RHA2, and RHA3) encoding precursors of the MAT A1 pheromone (rhodotorucine A) were previously identified and formed the basis for a genome walking approach that led to the identification of additional MAT genes in complementary mating strains of R. toruloides. Two mating type-specific alleles encoding a p21-activated kinase (PAK; Ste20 homolog) were found between the RHA2 and RHA3 genes, and identification in MAT A2 strains of a gene encoding a presumptive pheromone precursor enabled prediction of the structure of rhodotorucine a. In addition, a putative pheromone receptor gene (STE3 homolog) was identified upstream of RHA1. Analyses of genomic data from two closely related species, Sporobolomyces roseus and Sporidiobolus salmonicolor, identified syntenic regions that contain homologs of all the above-mentioned genes. Notably, six novel pheromone precursor genes were uncovered, which encoded, similarly to the RHA genes, multiple tandem copies of the peptide moiety. This suggests that this structure, which is unique among fungal lipopeptide pheromones, seems to be prevalent in red yeasts. Species comparisons provided evidence for a large, multigenic MAT locus structure in the Sporidiobolales, but no putative homeodomain transcription factor genes (which are present in all basidiomycetous MAT loci characterized thus far) could be found in any of the three species in the vicinity of the MAT genes identified. PMID:18408057

  16. The structure of the presenilin 1 (S182) gene and identification of six novel mutations in early onset AD families.

    PubMed

    1995-10-01

    Genetic linkage studies place a gene causing early onset familial Alzheimer's disease (FAD) on chromosome 14q24.3 (refs 1-4). Five mutations within the S182 (Presenilin 1: PS-1) gene, which maps to this region, have recently been reported in several early onset FAD kindreds. We have localized the PS-1 gene to a 75 kb region and present the structure of this gene, evidence for alternative splicing and describe six novel mutations in early onset FAD pedigrees all of which alter residues conserved in the STM2 (Presenilin 2: PS-2) gene.

  17. Identification and Characterization of Two Novel Methyltransferase Genes That Determine the Serotype 12-Specific Structure of Glycopeptidolipids of Mycobacterium intracellulare▿

    PubMed Central

    Nakata, Noboru; Fujiwara, Nagatoshi; Naka, Takashi; Yano, Ikuya; Kobayashi, Kazuo; Maeda, Shinji

    2008-01-01

    The Mycobacterium avium complex is distributed ubiquitously in the environment. It is an important cause of pulmonary and extrapulmonary diseases in humans and animals. The species in this complex produce polar glycopeptidolipids (GPLs); of particular interest is their serotype-specific antigenicity. Several reports have described that GPL structure may play an important role in bacterial physiology and pathogenesis and in the host immune response. Recently, we determined the complete structure of the GPL derived from Mycobacterium intracellulare serotype 7 and characterized the serotype 7 GPL-specific gene cluster. The structure of serotype 7 GPL closely resembles that of serotype 12 GPL, except for O methylation. In the present study, we isolated and characterized the serotype 12-specific gene cluster involved in glycosylation of the GPL. Ten open reading frames (ORFs) and one pseudogene were observed in the cluster. The genetic organization of the serotype 12-specific gene cluster resembles that of the serotype 7-specific gene cluster, but two novel ORFs (orfA and orfB) encoding putative methyltransferases are present in the cluster. Functional analyses revealed that orfA and orfB encode methyltransferases that synthesize O-methyl groups at the C-4 position in the rhamnose residue next to the terminal hexose and at the C-3 position in the terminal hexose, respectively. Our results show that these two methyltransferase genes determine the structural difference of serotype 12-specific GPL from serotype 7-specific GPL. PMID:18024513

  18. Proteomic analysis and identification of the structural and regulatory proteins of the Rhodobacter capsulatus gene transfer agent.

    PubMed

    Chen, Frank; Spano, Anthony; Goodman, Benjamin E; Blasier, Kiev R; Sabat, Agnes; Jeffery, Erin; Norris, Andrew; Shabanowitz, Jeffrey; Hunt, Donald F; Lebedev, Nikolai

    2009-02-01

    The gene transfer agent of Rhodobacter capsulatus (GTA) is a unique phage-like particle that exchanges genetic information between members of this same species of bacterium. Besides being an excellent tool for genetic mapping, the GTA has a number of advantages for biotechnological and nanoengineering purposes. To facilitate the GTA purification and identify the proteins involved in GTA expression, assembly and regulation, in the present work we construct and transform into R. capsulatus Y262 a gene coding for a C-terminally His-tagged capsid protein. The constructed protein was expressed in the cells, assembled into chimeric GTA particles inside the cells and excreted from the cells into surrounding medium. Transmission electron micrographs of phosphotungstate-stained, NiNTA-purified chimeric GTA confirm that its structure is similar to normal GTA particles, with many particles composed both of a head and a tail. The mass spectrometric proteomic analysis of polypeptides present in the GTA recovered outside the cells shows that GTA is composed of at least 9 proteins represented in the GTA gene cluster including proteins coded for by Orf's 3, 5, 6-9, 11, 13, and 15.

  19. Identification of IFITM1 and IFITM3 in Goose: Gene Structure, Expression Patterns, and Immune Reponses against Tembusu Virus Infection

    PubMed Central

    Wang, Anqi; Sun, Lipei; Wang, Mingshu; Jia, Renyong; Zhu, Dekang; Sun, Kunfeng; Yang, Qiao; Wu, Ying; Chen, Xiaoyue

    2017-01-01

    As interferon-stimulated genes (ISGs), interferon-inducible transmembrane proteins 1 and 3 (IFITM1 and IFITM3) can effectively inhibit the replication of multiple viruses. Here, goose IFITM1 and IFITM3 were cloned and identified for the first time. The two proteins share the same topological structure and several important sites critical for the antiviral functions in other species are conserved in the goose. Goose IFITM1 and IFITM3 are most closely related to their respective orthologs in ducks; these proteins exhibited high mRNA transcript levels in immune-related tissues, including the thymus, bursa of Fabricius, and Harderian gland, compared to other tissues. Moreover, goose IFITM1 was highly constitutively expressed in gastrointestinal tract tissues, while goose IFITM3 was expressed in respiratory organs. Furthermore, goose IFITM3 was activated in goose peripheral blood mononuclear cells (PBMCs) infected with Tembusu virus (TMUV) or treated with Toll-like receptors (TLRs) agonists, while only the R848 and Poly (I:C) agonists induced significant upregulation of goose IFITM1. Furthermore, goose IFITM1 and IFITM3 were upregulated in the sampled tissues, to some extent, after TMUV infection. Notably, significant upregulation of goose IFITM1 and IFITM3 was detected in the cecum and cecal tonsil, where TMUV was primarily distributed. These data provide new insights into the immune effectors in geese and promote our understanding of the role of IFITM1 and IFITM3 in the defense against TMUV. PMID:28386554

  20. A genetic ensemble approach for gene-gene interaction identification

    PubMed Central

    2010-01-01

    Background It has now become clear that gene-gene interactions and gene-environment interactions are ubiquitous and fundamental mechanisms for the development of complex diseases. Though a considerable effort has been put into developing statistical models and algorithmic strategies for identifying such interactions, the accurate identification of those genetic interactions has been proven to be very challenging. Methods In this paper, we propose a new approach for identifying such gene-gene and gene-environment interactions underlying complex diseases. This is a hybrid algorithm and it combines genetic algorithm (GA) and an ensemble of classifiers (called genetic ensemble). Using this approach, the original problem of SNP interaction identification is converted into a data mining problem of combinatorial feature selection. By collecting various single nucleotide polymorphisms (SNP) subsets as well as environmental factors generated in multiple GA runs, patterns of gene-gene and gene-environment interactions can be extracted using a simple combinatorial ranking method. Also considered in this study is the idea of combining identification results obtained from multiple algorithms. A novel formula based on pairwise double fault is designed to quantify the degree of complementarity. Conclusions Our simulation study demonstrates that the proposed genetic ensemble algorithm has comparable identification power to Multifactor Dimensionality Reduction (MDR) and is slightly better than Polymorphism Interaction Analysis (PIA), which are the two most popular methods for gene-gene interaction identification. More importantly, the identification results generated by using our genetic ensemble algorithm are highly complementary to those obtained by PIA and MDR. Experimental results from our simulation studies and real world data application also confirm the effectiveness of the proposed genetic ensemble algorithm, as well as the potential benefits of combining identification

  1. Identification of genes involved in the expression of atypical lipooligosaccharide structures from a second class of Haemophilus ducreyi.

    PubMed

    Post, Deborah M B; Munson, Robert S; Baker, Beth; Zhong, Huachun; Bozue, Joel A; Gibson, Bradford W

    2007-01-01

    Haemophilus ducreyi is a gram-negative bacterium that is the causative agent of chancroid. Strain 35000HP has been well characterized and is representative of the majority of H. ducreyi strains. Strain 35000HP produces a lipooligosaccharide (LOS) that contains D-glycero-D-manno-heptose in the main oligosaccharide chain extension; the lbgB gene has been shown to encode the DD-heptosyltransferase. The lbgB gene is found in a gene cluster together with the lbgA gene, which encodes for the galactosyltransferase I. These two genes are flanked by two housekeeping genes, rpmE and xthA, encoding the ribosomal protein L31 and the exonuclease III, respectively. Recently, a second group of H. ducreyi strains have been identified. Strain 33921, a representative of the class II strains, produces an LOS that lacks DD-heptose in the oligosaccharide portion of its LOS. To better understand the biosynthesis of the DD-heptose-deficient 33921 LOS, we cloned and sequenced the corresponding lbgAB genomic region from strain 33921. Similar to strain 35000HP, the 33921 genome contains xthA and rpmE. However, between these two genes we identified genes encoding two putative glycosyltransferases that were not highly homologous to the 35000HP lbgAB genes. In this study, we demonstrate that the product of one of these genes encodes a galactosyltransferase. In addition, dot blot hybridization determined that 3 of 35 strains tested had the atypical transferases present, as did 4 strains characterized as class II strains by other criterion. These data indicate that the lbgAB genes can serve as one indicator of the classification of H. ducreyi strains.

  2. Candidate Gene Identification Approach: Progress and Challenges

    PubMed Central

    Zhu, Mengjin; Zhao, Shuhong

    2007-01-01

    Although it has been widely applied in identification of genes responsible for biomedically, economically, or even evolutionarily important complex and quantitative traits, traditional candidate gene approach is largely limited by its reliance on the priori knowledge about the physiological, biochemical or functional aspects of possible candidates. Such limitation results in a fatal information bottleneck, which has apparently become an obstacle for further applications of traditional candidate gene approach on many occasions. While the identification of candidate genes involved in genetic traits of specific interest remains a challenge, significant progress in this subject has been achieved in the last few years. Several strategies have been developed, or being developed, to break the barrier of information bottleneck. Recently, being a new developing method of candidate gene approach, digital candidate gene approach (DigiCGA) has emerged and been primarily applied to identify potential candidate genes in some studies. This review summarizes the progress, application software, online tools, and challenges related to this approach. PMID:17998950

  3. Structural system identification: Structural dynamics model validation

    SciTech Connect

    Red-Horse, J.R.

    1997-04-01

    Structural system identification is concerned with the development of systematic procedures and tools for developing predictive analytical models based on a physical structure`s dynamic response characteristics. It is a multidisciplinary process that involves the ability (1) to define high fidelity physics-based analysis models, (2) to acquire accurate test-derived information for physical specimens using diagnostic experiments, (3) to validate the numerical simulation model by reconciling differences that inevitably exist between the analysis model and the experimental data, and (4) to quantify uncertainties in the final system models and subsequent numerical simulations. The goal of this project was to develop structural system identification techniques and software suitable for both research and production applications in code and model validation.

  4. Genomic Structure and Identification of Novel Mutations in Usherin, the Gene Responsible for Usher Syndrome Type IIa

    PubMed Central

    Weston, M. D.; Eudy, J. D.; Fujita, S.; Yao, S.-F.; Usami, S.; Cremers, C.; Greenburg, J.; Ramesar, R.; Martini, A.; Moller, C.; Smith, R. J.; Sumegi, J.; Kimberling, William J.

    2000-01-01

    Usher syndrome type IIa (USHIIa) is an autosomal recessive disorder characterized by moderate to severe sensorineural hearing loss and progressive retinitis pigmentosa. This disorder maps to human chromosome 1q41. Recently, mutations in USHIIa patients were identified in a novel gene isolated from this chromosomal region. The USH2A gene encodes a protein with a predicted molecular weight of 171.5 kD and possesses laminin epidermal growth factor as well as fibronectin type III domains. These domains are observed in other protein components of the basal lamina and extracellular matrixes; they may also be observed in cell-adhesion molecules. The intron/exon organization of the gene whose protein we name “Usherin” was determined by direct sequencing of PCR products and cloned genomic DNA with cDNA-specific primers. The gene is encoded by 21 exons and spans a minimum of 105 kb. A mutation search of 57 independent USHIIa probands was performed with a combination of direct sequencing and heteroduplex analysis of PCR-amplified exons. Fifteen new mutations were found. Of 114 independent USH2A alleles, 58 harbored probable pathologic mutations. Ten cases of USHIIa were true homozygotes and 10 were compound heterozygotes; 18 heterozygotes with only one identifiable mutation were observed. Sixty-five percent (38/58) of cases had at least one mutation, and 51% (58/114) of the total number of possible mutations were identified. The allele 2299delG (previously reported as 2314delG) was the most frequent mutant allele observed (16%; 31/192). Three new missense mutations (C319Y, N346H, and C419F) were discovered; all were restricted to the previously unreported laminin domain VI region of Usherin. The possible significance of this domain, known to be necessary for laminin network assembly, is discussed in the context of domain VI mutations from other proteins. PMID:10729113

  5. Identification of genetic variation and haplotype structure of the canine ABCA4 gene for retinal disease association studies

    PubMed Central

    Zangerl, B.; Lindauer, S. J.; Acland, G. M.; Aguirre, G. D.

    2010-01-01

    Over 200 mutations in the retina specific member of the ATP-binding cassette transporter super-family (ABCA4) have been associated with a diverse group of human retinal diseases. The disease mechanisms, and genotype–phenotype associations, nonetheless, remain elusive in many cases. As orthologous genes are commonly mutated in canine models of human blinding disorders, canine ABCA4 appears to be an ideal candidate gene to identify and study sequence changes in dogs affected by various forms of inherited retinal degeneration. However, the size of the gene and lack of haplotype assignment significantly limit targeted association and/or linkage approaches. This study assessed the naturally observed sequence diversity of ABCA4 in the dog, identifying 80% of novel variations. While none of the observed polymorphisms have been associated with blinding disorders to date, breed and potentially disease specific haplotypes have been identified. Moreover, a tag SNP map of 17 (15) markers has been established that accurately predicts common ABCA4 haplotypes (frequency > 5%) explaining >85% (>80%) of the observed genetic diversity and will considerably advance future studies. Our sequence analysis of the complete canine ABCA4 coding region will clearly provide a baseline and tools for future association studies and comparative genomics to further delineate the role of ABCA4 in canine blinding disorders. PMID:20661590

  6. Structural System Identification Technology Verification

    DTIC Science & Technology

    1981-11-01

    USAAVRADCOM-TR-81-D-28Q V󈧄 ADA1091 81 LEI STRUCTURAL SYSTEM IDENTIFICATION TECHNOLOGY VERIFICATION \\ N. Giansante, A. Berman, W. o. Flannelly, E...release; distribution unlimited. Prepared for APPLIED TECHNOLOGY LABORATORY U. S. ARMY RESEARCH AND TECHNOLOGY LABORATORIES (AVRADCOM) S Fort Eustis...Va. 23604 4-J" APPLI ED TECHNOLOGY LABORATORY POSITION STATEMENT The Applied Technology Laboratory has been involved in the development of the Struc

  7. Disease gene identification strategies for exome sequencing

    PubMed Central

    Gilissen, Christian; Hoischen, Alexander; Brunner, Han G; Veltman, Joris A

    2012-01-01

    Next generation sequencing can be used to search for Mendelian disease genes in an unbiased manner by sequencing the entire protein-coding sequence, known as the exome, or even the entire human genome. Identifying the pathogenic mutation amongst thousands to millions of genomic variants is a major challenge, and novel variant prioritization strategies are required. The choice of these strategies depends on the availability of well-phenotyped patients and family members, the mode of inheritance, the severity of the disease and its population frequency. In this review, we discuss the current strategies for Mendelian disease gene identification by exome resequencing. We conclude that exome strategies are successful and identify new Mendelian disease genes in approximately 60% of the projects. Improvements in bioinformatics as well as in sequencing technology will likely increase the success rate even further. Exome sequencing is likely to become the most commonly used tool for Mendelian disease gene identification for the coming years. PMID:22258526

  8. Identification of Essential Genes in the Salmonella Phage SPN3US Reveals Novel Insights into Giant Phage Head Structure and Assembly

    PubMed Central

    Benítez Quintana, Andrea Denisse; Bosch, Martine A.; Coll De Peña, Adriana; Aguilera, Elizabeth; Coulibaly, Assitan; Wu, Weimin; Osier, Michael V.; Hudson, André O.; Weintraub, Susan T.; Black, Lindsay W.

    2016-01-01

    ABSTRACT Giant tailed bacterial viruses, or phages, such as Pseudomonas aeruginosa phage ϕKZ, have long genomes packaged into large, atypical virions. Many aspects of ϕKZ and related phage biology are poorly understood, mostly due to the fact that the functions of the majority of their proteins are unknown. We hypothesized that the Salmonella enterica phage SPN3US could be a useful model phage to address this gap in knowledge. The 240-kb SPN3US genome shares a core set of 91 genes with ϕKZ and related phages, ∼61 of which are virion genes, consistent with the expectation that virion complexity is an ancient, conserved feature. Nucleotide sequencing of 18 mutants enabled assignment of 13 genes as essential, information which could not have been determined by sequence-based searches for 11 genes. Proteome analyses of two SPN3US virion protein mutants with knockouts in 64 and 241 provided new insight into the composition and assembly of giant phage heads. The 64 mutant analyses revealed all the genetic determinants required for assembly of the SPN3US head and a likely head-tail joining role for gp64, and its homologs in related phages, due to the tailless-particle phenotype produced. Analyses of the mutation in 241, which encodes an RNA polymerase β subunit, revealed that without this subunit, no other subunits are assembled into the head, and enabled identification of a “missing” β′ subunit domain. These findings support SPN3US as an excellent model for giant phage research, laying the groundwork for future analyses of their highly unusual virions, host interactions, and evolution. IMPORTANCE In recent years, there has been a paradigm shift in virology with the realization that extremely large viruses infecting prokaryotes (giant phages) can be found in many environments. A group of phages related to the prototype giant phage ϕKZ are of great interest due to their virions being among the most complex of prokaryotic viruses and their potential for

  9. Computational identification of new structured cis-regulatory elements in the 3'-untranslated region of human protein coding genes.

    PubMed

    Chen, Xiaowei Sylvia; Brown, Chris M

    2012-10-01

    Messenger ribonucleic acids (RNAs) contain a large number of cis-regulatory RNA elements that function in many types of post-transcriptional regulation. These cis-regulatory elements are often characterized by conserved structures and/or sequences. Although some classes are well known, given the wide range of RNA-interacting proteins in eukaryotes, it is likely that many new classes of cis-regulatory elements are yet to be discovered. An approach to this is to use computational methods that have the advantage of analysing genomic data, particularly comparative data on a large scale. In this study, a set of structural discovery algorithms was applied followed by support vector machine (SVM) classification. We trained a new classification model (CisRNA-SVM) on a set of known structured cis-regulatory elements from 3'-untranslated regions (UTRs) and successfully distinguished these and groups of cis-regulatory elements not been strained on from control genomic and shuffled sequences. The new method outperformed previous methods in classification of cis-regulatory RNA elements. This model was then used to predict new elements from cross-species conserved regions of human 3'-UTRs. Clustering of these elements identified new classes of potential cis-regulatory elements. The model, training and testing sets and novel human predictions are available at: http://mRNA.otago.ac.nz/CisRNA-SVM.

  10. Genetic structure and diversity among sheep breeds in the United States: identification of the major gene pools.

    PubMed

    Blackburn, H D; Paiva, S R; Wildeus, S; Getz, W; Waldron, D; Stobart, R; Bixby, D; Purdy, P H; Welsh, C; Spiller, S; Brown, M

    2011-08-01

    Understanding existing levels of genetic diversity of sheep breeds facilitates in situ and ex situ conservation activities. A comprehensive evaluation of US sheep breeds has not been previously performed; therefore, we evaluated the genetic diversity among and within 28 US sheep breeds. Both major and minor breeds were included in the analysis and consisted of 666 animals from 222 producers located in 38 states. The level of within-breed genetic diversity was variable and not dependent upon status of a breed as a major or minor breed. Bayesian cluster analysis indicated the breeds were grouped more by physiological differences (meat vs. wool production) rather than geographic origin. Results suggest several actionable items to improve in situ and ex situ conservation. The results clearly identify breeds in need of increased in situ and ex situ management (e.g., Hog Island and Karakul) and allow several suggestions for in situ management of flocks. Conversely, several of the breeds appear genetically similar and therefore require less emphasis on collecting germplasm samples for the gene bank. Commercially important breeds (e.g., Rambouillet and Suffolk) were found to have substantial variation, which should enable breeders to proceed, unencumbered by genetic diversity concerns, with selection strategies that maximize profit.

  11. System Identification Tools for Control Structure Interaction

    DTIC Science & Technology

    1990-01-01

    DT! FILE COPY AL-TR-89-054 AD: 00 Final Report System Identification Tools for O for the period - September 1988 to Control Structure Interaction May...Classification) System Identification Tools for Control Structure Interaction (U) 12. PERSONAL AUTHOR(S) Kosut, Robert L.; Kabuli, Guntekin M. 13a. TYPE OF...identification, dynamics, 22 01 system identification , robustness, dynamic modeling, robust 22 02 control design, control design procedure 19. ABSTRACT

  12. Familial identification: population structure and relationship distinguishability.

    PubMed

    Rohlfs, Rori V; Fullerton, Stephanie Malia; Weir, Bruce S

    2012-02-01

    With the expansion of offender/arrestee DNA profile databases, genetic forensic identification has become commonplace in the United States criminal justice system. Implementation of familial searching has been proposed to extend forensic identification to family members of individuals with profiles in offender/arrestee DNA databases. In familial searching, a partial genetic profile match between a database entrant and a crime scene sample is used to implicate genetic relatives of the database entrant as potential sources of the crime scene sample. In addition to concerns regarding civil liberties, familial searching poses unanswered statistical questions. In this study, we define confidence intervals on estimated likelihood ratios for familial identification. Using these confidence intervals, we consider familial searching in a structured population. We show that relatives and unrelated individuals from population samples with lower gene diversity over the loci considered are less distinguishable. We also consider cases where the most appropriate population sample for individuals considered is unknown. We find that as a less appropriate population sample, and thus allele frequency distribution, is assumed, relatives and unrelated individuals become more difficult to distinguish. In addition, we show that relationship distinguishability increases with the number of markers considered, but decreases for more distant genetic familial relationships. All of these results indicate that caution is warranted in the application of familial searching in structured populations, such as in the United States.

  13. Familial Identification: Population Structure and Relationship Distinguishability

    PubMed Central

    Rohlfs, Rori V.; Fullerton, Stephanie Malia; Weir, Bruce S.

    2012-01-01

    With the expansion of offender/arrestee DNA profile databases, genetic forensic identification has become commonplace in the United States criminal justice system. Implementation of familial searching has been proposed to extend forensic identification to family members of individuals with profiles in offender/arrestee DNA databases. In familial searching, a partial genetic profile match between a database entrant and a crime scene sample is used to implicate genetic relatives of the database entrant as potential sources of the crime scene sample. In addition to concerns regarding civil liberties, familial searching poses unanswered statistical questions. In this study, we define confidence intervals on estimated likelihood ratios for familial identification. Using these confidence intervals, we consider familial searching in a structured population. We show that relatives and unrelated individuals from population samples with lower gene diversity over the loci considered are less distinguishable. We also consider cases where the most appropriate population sample for individuals considered is unknown. We find that as a less appropriate population sample, and thus allele frequency distribution, is assumed, relatives and unrelated individuals become more difficult to distinguish. In addition, we show that relationship distinguishability increases with the number of markers considered, but decreases for more distant genetic familial relationships. All of these results indicate that caution is warranted in the application of familial searching in structured populations, such as in the United States. PMID:22346758

  14. Identification of Unannotated Small Genes in Salmonella

    PubMed Central

    Baek, Jonghwan; Lee, Jiyoung; Yoon, Kihoon; Lee, Hyunwoo

    2017-01-01

    Increasing evidence indicates that many, if not all, small genes encoding proteins ≤100 aa are missing in annotations of bacterial genomes currently available. To uncover unannotated small genes in the model bacterium Salmonella enterica Typhimurium 14028s, we used the genomic technique ribosome profiling, which provides a snapshot of all mRNAs being translated (translatome) in a given growth condition. For comprehensive identification of unannotated small genes, we obtained Salmonella translatomes from four different growth conditions: LB, MOPS rich defined medium, and two infection-relevant conditions low Mg2+ (10 µM) and low pH (5.8). To facilitate the identification of small genes, ribosome profiling data were analyzed in combination with in silico predicted putative open reading frames and transcriptome profiles. As a result, we uncovered 130 unannotated ORFs. Of them, 98% were small ORFs putatively encoding peptides/proteins ≤100 aa, and some of them were only expressed in the infection-relevant low Mg2+ and/or low pH condition. We validated the expression of 25 of these ORFs by western blot, including the smallest, which encodes a peptide of 7 aa residues. Our results suggest that many sequenced bacterial genomes are underannotated with regard to small genes and their gene annotations need to be revised. PMID:28122954

  15. Identification of Unannotated Small Genes in Salmonella.

    PubMed

    Baek, Jonghwan; Lee, Jiyoung; Yoon, Kihoon; Lee, Hyunwoo

    2017-03-10

    Increasing evidence indicates that many, if not all, small genes encoding proteins ≤100 aa are missing in annotations of bacterial genomes currently available. To uncover unannotated small genes in the model bacterium Salmonella enterica Typhimurium 14028s, we used the genomic technique ribosome profiling, which provides a snapshot of all mRNAs being translated (translatome) in a given growth condition. For comprehensive identification of unannotated small genes, we obtained Salmonella translatomes from four different growth conditions: LB, MOPS rich defined medium, and two infection-relevant conditions low Mg(2+) (10 µM) and low pH (5.8). To facilitate the identification of small genes, ribosome profiling data were analyzed in combination with in silico predicted putative open reading frames and transcriptome profiles. As a result, we uncovered 130 unannotated ORFs. Of them, 98% were small ORFs putatively encoding peptides/proteins ≤100 aa, and some of them were only expressed in the infection-relevant low Mg(2+) and/or low pH condition. We validated the expression of 25 of these ORFs by western blot, including the smallest, which encodes a peptide of 7 aa residues. Our results suggest that many sequenced bacterial genomes are underannotated with regard to small genes and their gene annotations need to be revised.

  16. Identification of the transcriptional unit, structural organization, and promoter sequence of the human sex-determining region Y (SRY) gene, using a reverse genetic approach

    SciTech Connect

    Hua Su; Lau, Y.F.C. )

    1993-01-01

    Using a simple strategy involving cosmid-mediated gene transfer, cDNA library construction, and molecular characterization techniques, the authors have determined the transcriptional unit, structural organization, and promoter sequence of the human sex-determining region Y (SRY) gene, the putative testis-determining factor (TDF) gene on the human Y chromosome. By this approach, a recombinant cosmid harboring the human SRY sequence was isolated and transfected to appropriate tissue-cultured cells. Recombinant cDNA clones were isolated from a cDNA library constructed from poly (A) + RNA of the transfected cells. Comparative studies between the respective cDNAs and the genomic cosmid have provided information regarding the organization of the SRY gene and its mRNAs. The results indicate that the human SRY gene is an intronless gene, produces transcripts of 1.1 kb, and possesses promoter activities in the transfected cells at approximately 310 bp of its upstream sequences. 57 refs., 5 figs.

  17. Structural Aspects of System Identification

    NASA Technical Reports Server (NTRS)

    Glover, Keith

    1973-01-01

    The problem of identifying linear dynamical systems is studied by considering structural and deterministic properties of linear systems that have an impact on stochastic identification algorithms. In particular considered is parametrization of linear systems so that there is a unique solution and all systems in appropriate class can be represented. It is assumed that a parametrization of system matrices has been established from a priori knowledge of the system, and the question is considered of when the unknown parameters of this system can be identified from input/output observations. It is assumed that the transfer function can be asymptotically identified, and the conditions are derived for the local, global and partial identifiability of the parametrization. Then it is shown that, with the right formulation, identifiability in the presence of feedback can be treated in the same way. Similarly the identifiability of parametrizations of systems driven by unobserved white noise is considered using the results from the theory of spectral factorization.

  18. Structural system identification of a composite shell

    SciTech Connect

    Red-Horse, J.R.; Carne, T.G.; James, G.H.; Witkowski, W.R.

    1991-01-01

    Structural system identification is undergoing a period of renewed interest. Probabilistic approaches to physical parameter identification in analysis finite element models make uncertainty in test results an important issue. In this paper, we investigate this issue with a simple, though in many ways representative, structural system. The results of two modal parameter identification techniques are compared and uncertainty estimates, both through bias and random errors, are quantified. The importance of the interaction between test and analysis is also highlighted. 25 refs.

  19. Structural system identification of a composite shell

    SciTech Connect

    Red-Horse, J.R.; Carne, T.G.; James, G.H.; Witkowski, W.R.

    1991-12-31

    Structural system identification is undergoing a period of renewed interest. Probabilistic approaches to physical parameter identification in analysis finite element models make uncertainty in test results an important issue. In this paper, we investigate this issue with a simple, though in many ways representative, structural system. The results of two modal parameter identification techniques are compared and uncertainty estimates, both through bias and random errors, are quantified. The importance of the interaction between test and analysis is also highlighted. 25 refs.

  20. Structure of the human glucokinase gene and identification of a missense mutation in a Japanese patient with early-onset non-insulin-dependent diabetes mellitus

    SciTech Connect

    Sakura, Hiroshi; Eto, Kazuhiro; Ueno, Hirohisa; Yazaki, Yoshio; Kadowaki, Takashi ); Kadowaki, Hiroko; Simokawa, Kotaro; Akanuma, Yasuo ); Koda, Naoya; Fukushima, Yoshimitsu )

    1992-12-01

    Glucokinase is thought to play a glucose-sensor role in the pancreas, and abnormalities in its structure, function, and regulation can induce diabetes. The authors isolated the human glucokinase gene, and determined its genomic structure including exon-intron boundaries. Structure of the glucokinase gene in human was very similar to that in rat. Then, by screening Japanese diabetic patients using polymerase chain reaction - single strand conformation polymorphism (PCR-SSCP) and direct-sequencing strategies, they identified a missense mutation substituting ariginine (AGG) for glycine (GGG) at position 261 in exon 7 of the glucokinase gene in a patient with early-onset non-insulin-dependent diabetes (NIDDM). 12 refs., 3 figs., 2 tabs.

  1. The gene identification problem: An overview for developers

    SciTech Connect

    Fickett, J.W.

    1995-03-27

    The gene identification problem is the problem of interpreting nucleotide sequences by computer, in order to provide tentative annotation on the location, structure, and functional class of protein-coding genes. This problem is of self-evident importance, and is far from being fully solved, particularly for higher eukaryotes, Thus it is not surprising that the number of algorithm and software developers working in this area is rapidly increasing. The present paper is an overview of the field, with an emphasis on eukaryotes, for such developers.

  2. Nucleotide sequence of a Pseudomonas denitrificans 5.4-kilobase DNA fragment containing five cob genes and identification of structural genes encoding S-adenosyl-L-methionine: uroporphyrinogen III methyltransferase and cobyrinic acid a,c-diamide synthase.

    PubMed Central

    Crouzet, J; Cauchois, L; Blanche, F; Debussche, L; Thibaut, D; Rouyez, M C; Rigault, S; Mayaux, J F; Cameron, B

    1990-01-01

    A 5.4-kilobase DNA fragment carrying Pseudomonas denitrificans cob genes has been sequenced. The nucleotide sequence and genetic analysis revealed that this fragment carries five different cob genes (cobA to cobE). Four of these genes present the characteristics of translationally coupled genes. cobA has been identified as the structural gene of S-adenosyl-L-methionine:uroporphyrinogen III methyltransferase (SUMT) because the encoded protein has the same NH2 terminus and molecular weight as those determined for the purified SUMT. For the same reasons the cobB gene was shown to be the structural gene for cobyrinic acid a,c-diamide synthase. Genetic and biochemical data concerning cobC and cobD mutants suggest that the products of these genes are involved in the conversion of cobyric acid to cobinamide. PMID:2211520

  3. Analysis of the S-locus structure in Prunus armeniaca L. Identification of S-haplotype specific S-RNase and F-box genes.

    PubMed

    Romero, C; Vilanova, S; Burgos, L; Martínez-Calvo, J; Vicente, M; Llácer, G; Badenes, M L

    2004-09-01

    The gametophytic self-incompatibility (GSI) system in Rosaceae has been proposed to be controlled by two genes located in the S -locusan S-RNase and a recently described pollen expressed S -haplotype specific F-box gene (SFB). However, in apricot (Prunus armeniaca L.) these genes had not been identified yet. We have sequenced 21 kb in total of the S -locus region in 3 different apricot S -haplotypes. These fragments contain genes homologous to the S-RNase and F-box genes found in other Prunus species, preserving their basic gene structure features and defined amino acid domains. The physical distance between the F-box and the S-RNase genes was determined exactly in the S2-haplotype (2.9 kb) and inferred approximately in the S 1-haplotype (< 49 kb) confirming that these genes are linked. Sequence analysis of the 5' flanking regions indicates the presence of a conserved region upstream of the putative TATA box in the S-RNase gene. The three identified S-RNase alleles (S1, S2 and S4) had a high allelic sequence diversity (75.3 amino acid identity), and the apricot F-box allelic variants (SFB1, SFB2 and SFB4) were also highly haplotype-specific (79.4 amino acid identity). Organ specific-expression was also studied, revealing that S1- and S2-RNases are expressed in style tissues, but not in pollen or leaves. In contrast, SFB1 and SFB2 are only expressed in pollen, but not in styles or leaves. Taken together, these results support these genes as candidates for the pistil and pollen S-determinants of GSI in apricot.

  4. Molecular identification of aiiA homologous gene from endophytic Enterobacter species and in silico analysis of putative tertiary structure of AHL-lactonase.

    PubMed

    Rajesh, P S; Rai, V Ravishankar

    2014-01-03

    The aiiA homologous gene known to encode AHL- lactonase enzyme which hydrolyze the N-acylhomoserine lactone (AHL) quorum sensing signaling molecules produced by Gram negative bacteria. In this study, the degradation of AHL molecules was determined by cell-free lysate of endophytic Enterobacter species. The percentage of quorum quenching was confirmed and quantified by HPLC method (p<0.0001). Amplification and sequence BLAST analysis showed the presence of aiiA homologous gene in endophytic Enterobacter asburiae VT65, Enterobacter aerogenes VT66 and Enterobacter ludwigii VT70 strains. Sequence alignment analysis revealed the presence of two zinc binding sites, "HXHXDH" motif as well as tyrosine residue at the position 194. Based on known template available at Swiss-Model, putative tertiary structure of AHL-lactonase was constructed. The result showed that novel endophytic strains of Enterobacter genera encode the novel aiiA homologous gene and its structural importance for future study.

  5. Recovery of Dominant, Autosomal Flightless Mutants of Drosophila Melanogaster and Identification of a New Gene Required for Normal Muscle Structure and Function

    PubMed Central

    Cripps, R. M.; Ball, E.; Stark, M.; Lawn, A.; Sparrow, J. C.

    1994-01-01

    To identify further mutations affecting muscle function and development in Drosophila melanogaster we recovered 22 autosomal dominant flightless mutations. From these we have isolated eight viable and lethal alleles of the muscle myosin heavy chain gene, and seven viable alleles of the indirect flight muscle (IFM)-specific Act88F actin gene. The Mhc mutations display a variety of phenotypic effects, ranging from reductions in myosin heavy chain content in the indirect flight muscles only, to reductions in the levels of this protein in other muscles. The Act88F mutations range from those which produce no stable actin and have severely abnormal myofibrillar structure, to those which accumulate apparently normal levels of actin in the flight muscles but which still have abnormal myofibrils and fly very poorly. We also recovered two recessive flightless mutants on the third chromosome. The remaining five dominant flightless mutations are all lethal alleles of a gene named lethal(3)Laker. The Laker alleles have been characterized and the gene located in polytene bands 62A10,B1-62B2,4. Laker is a previously unidentified locus which is haplo-insufficient for flight. In addition, adult wild-type heterozygotes and the lethal larval trans-heterozygotes show abnormalities of muscle structure indicating that the Laker gene product is an important component of muscle. PMID:8056306

  6. Identification of the transcriptional unit, structural organization, and promoter sequence of the human sex-determining region Y (SRY) gene, using a reverse genetic approach.

    PubMed Central

    Su, H; Lau, Y F

    1993-01-01

    Using a simple strategy involving cosmid-mediated gene transfer, cDNA library construction, and molecular characterization techniques, we have determined the transcriptional unit, structural organization, and promoter sequence of the human sex-determining region Y (SRY) gene, the putative testis-determining factor (TDF) gene on the human Y chromosome. By this approach, a recombinant cosmid harboring the human SRY sequence was isolated and transfected to appropriate tissue-cultured cells. Recombinant cDNA clones were isolated from a cDNA library constructed from poly (A) + RNA of the transfected cells. Comparative studies between the respective cDNAs and the genomic cosmid have provided information regarding the organization of the SRY gene and its mRNAs. The results indicate that the human SRY gene is an intronless gene, produces transcripts of 1.1 kb, and possesses promoter activities in the transfected cells at approximately 310 bp of its upstream sequences. Images Figure 1 Figure 2 Figure 4 Figure 5 PMID:8434602

  7. Identification of large space structures - Overview

    NASA Technical Reports Server (NTRS)

    Denman, Eugene; Juang, Jer-Nan; Junkins, John; Kamat, Manohar; Hasselman, T. K.

    1988-01-01

    The system identification process presently discussed for the case of large space structures uses the observed input to a system and its observed response, or output, to derive an analytical model of the system which can then be used to predict its response to future inputs. Due to their size and complexity, as well as the intrinsic difficulty of identifying the environment in which they function, large space structures will require vast amounts of information, encompassing both experimental and analytical data for identification. A status evaluation is made of the structural system identification literature to date.

  8. Identification and characteristics of the structural gene for the Drosophila eye colour mutant sepia, encoding PDA synthase, a member of the omega class glutathione S-transferases.

    PubMed

    Kim, Jaekwang; Suh, Hyunsuk; Kim, Songhee; Kim, Kiyoung; Ahn, Chiyoung; Yim, Jeongbin

    2006-09-15

    The eye colour mutant sepia (se1) is defective in PDA {6-acetyl-2-amino-3,7,8,9-tetrahydro-4H-pyrimido[4,5-b]-[1,4]diazepin-4-one or pyrimidodiazepine} synthase involved in the conversion of 6-PTP (2-amino-4-oxo-6-pyruvoyl-5,6,7,8-tetrahydropteridine; also known as 6-pyruvoyltetrahydropterin) into PDA, a key intermediate in drosopterin biosynthesis. However, the identity of the gene encoding this enzyme, as well as its molecular properties, have not yet been established. Here, we identify and characterize the gene encoding PDA synthase and show that it is the structural gene for sepia. Based on previously reported information [Wiederrecht, Paton and Brown (1984) J. Biol. Chem. 259, 2195-2200; Wiederrecht and Brown (1984) J. Biol. Chem. 259, 14121-14127; Andres (1945) Drosoph. Inf. Serv. 19, 45; Ingham, Pinchin, Howard and Ish-Horowicz (1985) Genetics 111, 463-486; Howard, Ingham and Rushlow (1988) Genes Dev. 2, 1037-1046], we isolated five candidate genes predicted to encode GSTs (glutathione S-transferases) from the presumed sepia locus (region 66D5 on chromosome 3L). All cloned and expressed candidates exhibited relatively high thiol transferase and dehydroascorbate reductase activities and low activity towards 1-chloro-2,4-dinitrobenzene, characteristic of Omega class GSTs, whereas only CG6781 catalysed the synthesis of PDA in vitro. The molecular mass of recombinant CG6781 was estimated to be 28 kDa by SDS/PAGE and 56 kDa by gel filtration, indicating that it is a homodimer under native conditions. Sequencing of the genomic region spanning CG6781 revealed that the se1 allele has a frameshift mutation from 'AAGAA' to 'GTG' at nt 190-194, and that this generates a premature stop codon. Expression of the CG6781 open reading frame in an se1 background rescued the eye colour defect as well as PDA synthase activity and drosopterins content. The extent of rescue was dependent on the dosage of transgenic CG6781. In conclusion, we have discovered a new catalytic

  9. Biochemical and molecular characterization of GALT gene from Indian galactosemia patients: identification of 10 novel mutations and their structural and functional implications.

    PubMed

    Singh, Ramandeep; Thapa, Babu R; Kaur, Gurjit; Prasad, Rajendra

    2012-12-24

    Classical Galactosemia is an autosomal recessive disorder of galactose metabolism caused by severe reduction or absence of the galactose-1-phosphate uridyl transferase (GALT) enzyme. Till date, no reports are available on clinical and molecular spectrum of galactosemia from Indian population. The characterization of underlying GALT gene lesions was performed in 55 unrelated galactosemia patients. The GALT mutational spectrum comprised 16 distinct mutations including 10 previously unreported mutations. N314D was the most common mutation with a frequency of 40% followed by Q188R at 2.7%. The novel GALT gene mutations included 6 missense mutations viz. Y89H, Q103R, P166A, S181F, K285R, R333L; one nonsense mutation, S307X and 3 silent mutations--Q103Q, K210K and H319H. The functional significance of the novel GALT missense mutations was investigated using SNPs&GO and SIFT tools. Further, modeling studies using 3D models of mutant and wild type GALT proteins revealed mutations to exert their effects at the molecular level by altering H-bonds, salt bridges, secondary structure or surface features. The study highlighted the heterogeneity of classical galactosemia in the Indian population and also emphasizes the importance of GALT gene analysis in diagnosis of galactosemia. It also revealed that the Indian GALT mutational profile differs significantly from other populations studied.

  10. Structural damage assessment as an identification problem

    NASA Technical Reports Server (NTRS)

    Hajela, Prabhat; Soeiro, F. J.

    1989-01-01

    Damage assessment of structural assemblies is treated as an identification problem. A brief review of identification methods is first presented with particular focus on the output error approach. The use of numerical optimization methods in identifying the location and extent of damage in structures is studied. The influence of damage on eigenmode shapes and static displacements is explored as a means of formulating a measure of damage in the structure. Preliminary results obtained in this study are presented and special attention is directed at the shortcomings associated with the nonlinear programming approach to solving the optimization problem.

  11. Identification of Large Space Structures on Orbit

    DTIC Science & Technology

    1986-09-01

    Anderson, M.S. and Greene , W.H.,"Continuurn Models for Beam and Plate-like Lattice Structures," ALAA J., vol. 16, No. 12, 1978, pp. 1219-1228. 43. Noor...Identification, Advances and Caes Studies, Edited by R. K. Mehra and D. G. Lain- iotis, Academic PRess, 1976. Ljung, L., T. Soderatrom and Gustavsson ...Ljung, L., I. Gustavsson and T. Soderstrom, "Identification of Linear, Multivariable Sys- tem Operating Under Linear Feedback Control", IEEE Trans

  12. Data identification for improving gene network inference using computational algebra.

    PubMed

    Dimitrova, Elena; Stigler, Brandilyn

    2014-11-01

    Identification of models of gene regulatory networks is sensitive to the amount of data used as input. Considering the substantial costs in conducting experiments, it is of value to have an estimate of the amount of data required to infer the network structure. To minimize wasted resources, it is also beneficial to know which data are necessary to identify the network. Knowledge of the data and knowledge of the terms in polynomial models are often required a priori in model identification. In applications, it is unlikely that the structure of a polynomial model will be known, which may force data sets to be unnecessarily large in order to identify a model. Furthermore, none of the known results provides any strategy for constructing data sets to uniquely identify a model. We provide a specialization of an existing criterion for deciding when a set of data points identifies a minimal polynomial model when its monomial terms have been specified. Then, we relax the requirement of the knowledge of the monomials and present results for model identification given only the data. Finally, we present a method for constructing data sets that identify minimal polynomial models.

  13. Identification of Cancer Related Genes Using a Comprehensive Map of Human Gene Expression.

    PubMed

    Torrente, Aurora; Lukk, Margus; Xue, Vincent; Parkinson, Helen; Rung, Johan; Brazma, Alvis

    2016-01-01

    Rapid accumulation and availability of gene expression datasets in public repositories have enabled large-scale meta-analyses of combined data. The richness of cross-experiment data has provided new biological insights, including identification of new cancer genes. In this study, we compiled a human gene expression dataset from ∼40,000 publicly available Affymetrix HG-U133Plus2 arrays. After strict quality control and data normalisation the data was quantified in an expression matrix of ∼20,000 genes and ∼28,000 samples. To enable different ways of sample grouping, existing annotations where subjected to systematic ontology assisted categorisation and manual curation. Groups like normal tissues, neoplasmic tissues, cell lines, homoeotic cells and incompletely differentiated cells were created. Unsupervised analysis of the data confirmed global structure of expression consistent with earlier analysis but with more details revealed due to increased resolution. A suitable mixed-effects linear model was used to further investigate gene expression in solid tissue tumours, and to compare these with the respective healthy solid tissues. The analysis identified 1,285 genes with systematic expression change in cancer. The list is significantly enriched with known cancer genes from large, public, peer-reviewed databases, whereas the remaining ones are proposed as new cancer gene candidates. The compiled dataset is publicly available in the ArrayExpress Archive. It contains the most diverse collection of biological samples, making it the largest systematically annotated gene expression dataset of its kind in the public domain.

  14. The identification of wadB, a new glycosyltransferase gene, confirms the branched structure and the role in virulence of the lipopolysaccharide core of Brucella abortus.

    PubMed

    Gil-Ramírez, Yolanda; Conde-Álvarez, Raquel; Palacios-Chaves, Leyre; Zúñiga-Ripa, Amaia; Grilló, María-Jesús; Arce-Gorvel, Vilma; Hanniffy, Sean; Moriyón, Ignacio; Iriarte, Maite

    2014-08-01

    Brucellosis is a worldwide extended zoonosis caused by Brucella spp. These gram-negative bacteria are not readily detected by innate immunity, a virulence-related property largely linked to their surface lipopolysaccharide (LPS). The role of the LPS lipid A and O-polysaccharide in virulence is well known. Moreover, mutation of the glycosyltransferase gene wadC of Brucella abortus, although not affecting O-polysaccharide assembly onto the lipid-A core section causes a core oligosaccharide defect that increases recognition by innate immunity. Here, we report on a second gene (wadB) encoding a LPS core glycosyltransferase not involved in the assembly of the O-polysaccharide-linked core section. As compared to wild-type B. abortus, a wadB mutant was sensitive to bactericidal peptides and non-immune serum, and was attenuated in mice and dendritic cells. These observations show that as WadC, WadB is also involved in the assembly of a branch of Brucella LPS core and support the concept that this LPS section is a virulence-related structure.

  15. Identification of Complex Carbon Nanotube Structures

    NASA Technical Reports Server (NTRS)

    Han, Jie; Saini, Subhash (Technical Monitor)

    1998-01-01

    A variety of complex carbon nanotube (CNT) structures have been observed experimentally. These include sharp bends, branches, tori, and helices. They are believed to be formed by using topological defects such as pentagons and heptagons to connect different CNT. The effects of type, number, and arrangement (separation and orientation) of defects on atomic structures and energetics of complex CNT are investigated using topology, quantum mechanics and molecular mechanics calculations. Energetically stable models are derived for identification of observed complex CNT structures.

  16. Structural health monitoring using parameter identification methods

    NASA Astrophysics Data System (ADS)

    Liu, Pengxiang; Rao, Vittal S.

    2000-06-01

    A structural health monitoring method for determination of damages in structural system is developed using state variable model. A time-domain identification method, the subspace system identification algorithm, is first applied to get a state-space model of the structure. The identified state-space model is then transformed to two special realization forms, for determination of the equation of motion of multiple- degrees-freedom of the structure. The parameters of equation of motion, mass and stiffness matrices or damage indices are used to determine the location and extent of the damage. This method is also extended for the health monitoring of substructural system. Unlike the health monitoring of the whole structure, the health monitoring of substructure uses localized parameter identification which only involves the measurement of substructure parameters. Using this method, the number of unknown parameters and the computational requirement for each identification can be significantly reduced, hence the accuracy of estimation can be improved. Illustrative cases studies using both numerical and experimental structures are presented.

  17. Parameter identification of civil engineering structures

    NASA Technical Reports Server (NTRS)

    Juang, J. N.; Sun, C. T.

    1980-01-01

    This paper concerns the development of an identification method required in determining structural parameter variations for systems subjected to an extended exposure to the environment. The concept of structural identifiability of a large scale structural system in the absence of damping is presented. Three criteria are established indicating that a large number of system parameters (the coefficient parameters of the differential equations) can be identified by a few actuators and sensors. An eight-bay-fifteen-story frame structure is used as example. A simple model is employed for analyzing the dynamic response of the frame structure.

  18. Genome-wide identification and expression profiling of ankyrin-repeat gene family in maize.

    PubMed

    Jiang, Haiyang; Wu, Qingqing; Jin, Jing; Sheng, Lei; Yan, Hanwei; Cheng, Beijiu; Zhu, Suwen

    2013-09-01

    Members of the ankyrin repeats (ANK) gene family encode ANK domain that are common in diverse organisms and play important roles in cell growth and development, such as cell-cell signal transduction and cell cycle regulation. Recently, genome-wide identification and evolutionary analyses of the ANK gene family have been carried out in Arabidopsis and rice. However, little is known regarding the ANK genes in the entire maize genome. In this study, we described the identification and structural characterization of 71 ANK genes in maize (ZmANK). Then, comprehensive bioinformatics analyses of ZmANK genes family were performed including phylogenetic, domain and motif analysis, chromosomal localization, intron/exon structural patterns, gene duplications and expression profiling. Domain composition analyses showed that ZmANK genes formed ten subfamilies. Five tandem duplications and 14 segmental duplications were identified in ZmANK genes. Furthermore, we took comparative analysis of the total ANK gene family in Arabidopsis, rice and maize, ZmANKs were more closely paired with OsANKs than with AtANKs. At last, expression profile analyses were performed. Forty-one members of ZmANK genes held EST sequences records. Semi-quantitative expression and microarray data analysis of these 41 ZmANK genes demonstrated that ZmANK genes exhibit a various expression pattern, suggesting that functional diversification of ZmANK genes family. The results will present significant insights to explore ANK genes expression and function in future studies in maize.

  19. [Application of gene detection technology in food species identification].

    PubMed

    Chen, Ying; Wu, Yajun

    2011-07-01

    It is critical to determine the biological identity of all ingredients in food to ensure its safety and quality. Modern gene detection technology makes species identification in food more accurate, sensitive and rapid. A comprehensive review on its current applications in the last decade and the future perspective in food species identification is presented, including a brief introduction of gene detection methods, and their applications in plant-originated food, animal-originated food, high value-added food and highly processed food.

  20. Identification of structural variation in mouse genomes

    PubMed Central

    Keane, Thomas M.; Wong, Kim; Adams, David J.; Flint, Jonathan; Reymond, Alexandre; Yalcin, Binnaz

    2014-01-01

    Structural variation is variation in structure of DNA regions affecting DNA sequence length and/or orientation. It generally includes deletions, insertions, copy-number gains, inversions, and transposable elements. Traditionally, the identification of structural variation in genomes has been challenging. However, with the recent advances in high-throughput DNA sequencing and paired-end mapping (PEM) methods, the ability to identify structural variation and their respective association to human diseases has improved considerably. In this review, we describe our current knowledge of structural variation in the mouse, one of the prime model systems for studying human diseases and mammalian biology. We further present the evolutionary implications of structural variation on transposable elements. We conclude with future directions on the study of structural variation in mouse genomes that will increase our understanding of molecular architecture and functional consequences of structural variation. PMID:25071822

  1. Crystal Structure of Mycobacterium tuberculosis H37Rv AldR (Rv2779c), a Regulator of the ald Gene: DNA BINDING AND IDENTIFICATION OF SMALL MOLECULE INHIBITORS.

    PubMed

    Dey, Abhishek; Shree, Sonal; Pandey, Sarvesh Kumar; Tripathi, Rama Pati; Ramachandran, Ravishankar

    2016-06-03

    Here we report the crystal structure of M. tuberculosis AldR (Rv2779c) showing that the N-terminal DNA-binding domains are swapped, forming a dimer, and four dimers are assembled into an octamer through crystal symmetry. The C-terminal domain is involved in oligomeric interactions that stabilize the oligomer, and it contains the effector-binding sites. The latter sites are 30-60% larger compared with homologs like MtbFFRP (Rv3291c) and can consequently accommodate larger molecules. MtbAldR binds to the region upstream to the ald gene that is highly up-regulated in nutrient-starved tuberculosis models and codes for l-alanine dehydrogenase (MtbAld; Rv2780). Further, the MtbAldR-DNA complex is inhibited upon binding of Ala, Tyr, Trp and Asp to the protein. Studies involving a ligand-binding site G131T mutant show that the mutant forms a DNA complex that cannot be inhibited by adding the amino acids. Comparative studies suggest that binding of the amino acids changes the relative spatial disposition of the DNA-binding domains and thereby disrupt the protein-DNA complex. Finally, we identified small molecules, including a tetrahydroquinoline carbonitrile derivative (S010-0261), that inhibit the MtbAldR-DNA complex. The latter molecules represent the very first inhibitors of a feast/famine regulatory protein from any source and set the stage for exploring MtbAldR as a potential anti-tuberculosis target.

  2. Hierarchical Bayesian model updating for structural identification

    NASA Astrophysics Data System (ADS)

    Behmanesh, Iman; Moaveni, Babak; Lombaert, Geert; Papadimitriou, Costas

    2015-12-01

    A new probabilistic finite element (FE) model updating technique based on Hierarchical Bayesian modeling is proposed for identification of civil structural systems under changing ambient/environmental conditions. The performance of the proposed technique is investigated for (1) uncertainty quantification of model updating parameters, and (2) probabilistic damage identification of the structural systems. Accurate estimation of the uncertainty in modeling parameters such as mass or stiffness is a challenging task. Several Bayesian model updating frameworks have been proposed in the literature that can successfully provide the "parameter estimation uncertainty" of model parameters with the assumption that there is no underlying inherent variability in the updating parameters. However, this assumption may not be valid for civil structures where structural mass and stiffness have inherent variability due to different sources of uncertainty such as changing ambient temperature, temperature gradient, wind speed, and traffic loads. Hierarchical Bayesian model updating is capable of predicting the overall uncertainty/variability of updating parameters by assuming time-variability of the underlying linear system. A general solution based on Gibbs Sampler is proposed to estimate the joint probability distributions of the updating parameters. The performance of the proposed Hierarchical approach is evaluated numerically for uncertainty quantification and damage identification of a 3-story shear building model. Effects of modeling errors and incomplete modal data are considered in the numerical study.

  3. Aquifer Structure Identification Using Stochastic Inversion

    SciTech Connect

    Harp, Dylan R; Dai, Zhenxue; Wolfsberg, Andrew V; Vrugt, Jasper A

    2008-01-01

    This study presents a stochastic inverse method for aquifer structure identification using sparse geophysical and hydraulic response data. The method is based on updating structure parameters from a transition probability model to iteratively modify the aquifer structure and parameter zonation. The method is extended to the adaptive parameterization of facies hydraulic parameters by including these parameters as optimization variables. The stochastic nature of the statistical structure parameters leads to nonconvex objective functions. A multi-method genetically adaptive evolutionary approach (AMALGAM-SO) was selected to perform the inversion given its search capabilities. Results are obtained as a probabilistic assessment of facies distribution based on indicator cokriging simulation of the optimized structural parameters. The method is illustrated by estimating the structure and facies hydraulic parameters of a synthetic example with a transient hydraulic response.

  4. Identification of Cancer Related Genes Using a Comprehensive Map of Human Gene Expression

    PubMed Central

    Lukk, Margus; Xue, Vincent; Parkinson, Helen; Rung, Johan; Brazma, Alvis

    2016-01-01

    Rapid accumulation and availability of gene expression datasets in public repositories have enabled large-scale meta-analyses of combined data. The richness of cross-experiment data has provided new biological insights, including identification of new cancer genes. In this study, we compiled a human gene expression dataset from ∼40,000 publicly available Affymetrix HG-U133Plus2 arrays. After strict quality control and data normalisation the data was quantified in an expression matrix of ∼20,000 genes and ∼28,000 samples. To enable different ways of sample grouping, existing annotations where subjected to systematic ontology assisted categorisation and manual curation. Groups like normal tissues, neoplasmic tissues, cell lines, homoeotic cells and incompletely differentiated cells were created. Unsupervised analysis of the data confirmed global structure of expression consistent with earlier analysis but with more details revealed due to increased resolution. A suitable mixed-effects linear model was used to further investigate gene expression in solid tissue tumours, and to compare these with the respective healthy solid tissues. The analysis identified 1,285 genes with systematic expression change in cancer. The list is significantly enriched with known cancer genes from large, public, peer-reviewed databases, whereas the remaining ones are proposed as new cancer gene candidates. The compiled dataset is publicly available in the ArrayExpress Archive. It contains the most diverse collection of biological samples, making it the largest systematically annotated gene expression dataset of its kind in the public domain. PMID:27322383

  5. Identification of Gene Networks: An Approach Based on Mathematical Modeling

    DTIC Science & Technology

    2014-08-21

    applied the sensitivity method to a five-gene subnetwork of Escherichia coli and obtained promising preliminary experimental results. (a) Papers... Escherichia coli : ompR, flhC, flhD, flgA, and flgC. The regulatory interactions among these genes have been previously discovered and are part of the...Network Identification. (Submitted). 3 Datsenko, K. A. & Wanner, B. L. One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR

  6. Robust structural identification via polyhedral template matching

    NASA Astrophysics Data System (ADS)

    Mahler Larsen, Peter; Schmidt, Søren; Schiøtz, Jakob

    2016-06-01

    Successful scientific applications of large-scale molecular dynamics often rely on automated methods for identifying the local crystalline structure of condensed phases. Many existing methods for structural identification, such as common neighbour analysis, rely on interatomic distances (or thresholds thereof) to classify atomic structure. As a consequence they are sensitive to strain and thermal displacements, and preprocessing such as quenching or temporal averaging of the atomic positions is necessary to provide reliable identifications. We propose a new method, polyhedral template matching (PTM), which classifies structures according to the topology of the local atomic environment, without any ambiguity in the classification, and with greater reliability than e.g. common neighbour analysis in the presence of thermal fluctuations. We demonstrate that the method can reliably be used to identify structures even in simulations near the melting point, and that it can identify the most common ordered alloy structures as well. In addition, the method makes it easy to identify the local lattice orientation in polycrystalline samples, and to calculate the local strain tensor. An implementation is made available under a Free and Open Source Software license.

  7. Identification of the Genes Involved in the Biofilm-like Structures on Actinomyces oris K20, a Clinical Isolate from an Apical Lesion

    DTIC Science & Technology

    2013-01-01

    abscess, root canal infection, dental implant –related infection (14–20), and non-oral infections in the human body (21). Kalfes et al (18) isolated...in initial dental biofilm formation. Microbiology 2009;155:2116–26. 12. Li J, Helmerhorst EJ, Leone CW, et al. Identification of early microbial...colonizers in human dental biofilm . J Appl Microbiol 2004;97:1311–8. 13. Zijnge V, van Leeuwen MB, Degener JE, et al. Oral biofilm architecture on natural

  8. Identification of essential genes in bacteria.

    PubMed

    Hillyard, David R; Redd, Michael J

    2007-01-01

    Essential genes are identified in duplicated regions of the bacterial chromosome. Transposition of a vector that forms operon fusions into a strain carrying a chromosomal duplication allows insertion of the transposon into essential genes because a second copy of the essential gene is present. When the duplication is allowed to segregate, only the segregant that carries the copy of the intact essential gene survives. The transposon insertion in the essential gene is maintained only in the duplication derivatives. A technique is described that uses a Tn10 derivative, Tn10dTc-araC(+), which contains a cloned copy of the Escherichia coli araC(+) gene, as a portable region of homology to generate large duplications of the Salmonella chromosome. The duplication is maintained in the population by growth in the presence of tetracycline. When the lac operon fusion vector, MudJ, is transposed into the duplicated region, removal of tetracycline from the growth media allows segregation of the duplication yielding (Ara(-)) haploid segregants which appear as red colonies or as red/white (Ara(-/+)) sectoring colonies on TTC arabinose indicator plates. However, if the insertion is in an essential gene, only segregants that lose the MudJ insertion in the essential gene survive. In this case, selection for the insertion in the essential gene yields solid white (Ara(+)) colonies in the absence of tetracycline. While the specific design presented uses Mud transposon insertions to generate lac operon (transcriptional) and lacZ gene (translational) fusions to essential genes, this technique can be used to generate transposon insertions of any kind into essential genes.

  9. Missing gene identification using functional coherence scores

    PubMed Central

    Chitale, Meghana; Khan, Ishita K.; Kihara, Daisuke

    2016-01-01

    Reconstructing metabolic and signaling pathways is an effective way of interpreting a genome sequence. A challenge in a pathway reconstruction is that often genes in a pathway cannot be easily found, reflecting current imperfect information of the target organism. In this work, we developed a new method for finding missing genes, which integrates multiple features, including gene expression, phylogenetic profile, and function association scores. Particularly, for considering function association between candidate genes and neighboring proteins to the target missing gene in the network, we used Co-occurrence Association Score (CAS) and PubMed Association Score (PAS), which are designed for capturing functional coherence of proteins. We showed that adding CAS and PAS substantially improve the accuracy of identifying missing genes in the yeast enzyme-enzyme network compared to the cases when only the conventional features, gene expression, phylogenetic profile, were used. Finally, it was also demonstrated that the accuracy improves by considering indirect neighbors to the target enzyme position in the network using a proper network-topology-based weighting scheme. PMID:27552989

  10. Identification of Genes Regulated by Proteolysis

    DTIC Science & Technology

    2005-07-01

    Drosophila protein interaction domains are scattered throughout the melanogaster and Caenorhabditis elegans (Table 1; Fig. two groups indicating that...marker for breast cancer and there is evidence that Fbw7 is mutated in human cancer, consistent with the possibility that it is a tumor suppressor. We...analysis of point mutations in Fbw7 found in human cancer 9 In our previous report, we described our identification of Fbw7 as the F-box protein

  11. Identification of genes and gene products necessary for bacterial bioluminescence.

    PubMed

    Engebrecht, J; Silverman, M

    1984-07-01

    Expression of luminescence in Escherichia coli was recently achieved by cloning genes from the marine bacterium Vibrio fischeri. One DNA fragment on a hybrid plasmid encoded regulatory functions and enzymatic activities necessary for light production. We report the results of a genetic analysis to identify the luminescence genes (lux) that reside on this recombinant plasmid. lux gene mutations were generated by hydroxylamine treatment, and these mutations were ordered on a linear map by complementation in trans with a series of polar transposon insertions on other plasmids. lux genes were defined by complementation of lux gene defects on pairs of plasmids in trans in E. coli. Hybrid plasmids were also used to direct the synthesis of polypeptides in the E. coli minicell system. Seven lux genes and the corresponding gene products were identified from the complementation analysis and the minicell programing experiments. These genes, in the order of their position on a linear map, and the apparent molecular weights of the gene products are luxR (27,000), luxI (25,000), luxC (53,000), luxD (33,000), luxA (40,000), luxB (38,000), and luxE (42,000). From the luminescence phenotypes of E. coli containing mutant plasmids, functions were assigned to these genes: luxA, luxB, luxC, luxD, and luxE encode enzymes for light production and luxR and luxI encode regulatory functions.

  12. Identification and characterization of Nasonia Pax genes

    PubMed Central

    Keller, R. G.; Desplan, C.; Rosenberg, M. I.

    2010-01-01

    Pax genes are a group of critical developmental transcriptional regulators in both invertebrates and vertebrates, characterized by the presence of a paired DNA-binding domain. Pax proteins also often contain an octapeptide motif and a C-terminal homeodomain. The genome of Nasonia vitripennis (Hymenoptera) has recently become available, and analysis of this genome alongside Apis mellifera allowed us to contribute to the phylogeny of this gene family in insects. Nasonia, a parasitic wasp, has independently evolved a similar mode of development to that of the wellstudied Drosophila, making it an excellent model system for comparative studies of developmental gene networks. We report the characterization of the seven Nasonia Pax genes. We describe their genomic organization, and the embryonic expression of three of them, and uncover wider conservation of the octapeptide motif than previously described. PMID:20167022

  13. Bioinformatic identification of Ustilago maydis meiosis genes.

    PubMed

    Donaldson, Michael E; Saville, Barry J

    2008-08-01

    In the corn smut pathogen, Ustilago maydis, meiosis and teliospore germination are temporally linked. We review teliospore dormancy and germination in U. maydis and present an overview of meiosis in basidiomycetes. The relevant available expressed sequence tag data is discussed, the databases used in reciprocal best hit blastp analysis are presented and potential U. maydis meiosis genes are identified. The implications of identifying these genes are discussed and hypotheses are presented regarding the control of meiosis in U. maydis.

  14. Genome-Wide Identification and Functional Classification of Tomato (Solanum lycopersicum) Aldehyde Dehydrogenase (ALDH) Gene Superfamily

    PubMed Central

    Lopez-Valverde, Francisco J.; Robles-Bolivar, Paula; Lima-Cabello, Elena; Gachomo, Emma W.; Kotchoni, Simeon O.

    2016-01-01

    Aldehyde dehydrogenases (ALDHs) is a protein superfamily that catalyzes the oxidation of aldehyde molecules into their corresponding non-toxic carboxylic acids, and responding to different environmental stresses, offering promising genetic approaches for improving plant adaptation. The aim of the current study is the functional analysis for systematic identification of S. lycopersicum ALDH gene superfamily. We performed genome-based ALDH genes identification and functional classification, phylogenetic relationship, structure and catalytic domains analysis, and microarray based gene expression. Twenty nine unique tomato ALDH sequences encoding 11 ALDH families were identified, including a unique member of the family 19 ALDH. Phylogenetic analysis revealed 13 groups, with a conserved relationship among ALDH families. Functional structure analysis of ALDH2 showed a catalytic mechanism involving Cys-Glu couple. However, the analysis of ALDH3 showed no functional gene duplication or potential neo-functionalities. Gene expression analysis reveals that particular ALDH genes might respond to wounding stress increasing the expression as ALDH2B7. Overall, this study reveals the complexity of S. lycopersicum ALDH gene superfamily and offers new insights into the structure-functional features and evolution of ALDH gene families in vascular plants. The functional characterization of ALDHs is valuable and promoting molecular breeding in tomato for the improvement of stress tolerance and signaling. PMID:27755582

  15. Identification of Actinobacillus actinomycetemcomitans by leukotoxin gene-specific hybridization and polymerase chain reaction assays.

    PubMed Central

    Tønjum, T; Haas, R

    1993-01-01

    Eleven strains of Actinobacillus actinomycetemcomitans isolated from cases of systemic infections, local abscesses, and periodontitis were identified by genetic assays using the leukotoxin gene as the target. We have developed a polymerase chain reaction (PCR) assay, based on the leukotoxin structural gene of this pathogen, which clearly identified all tested strains of A. actinomycetemcomitans and separated them from the closely related Haemophilus aphrophilus as well as other bacterial species. Furthermore, DNA-DNA hybridization was performed with the cloned partial leukotoxin structural gene (lktA) as a probe, which again clearly distinguished A. actinomycetemcomitans from H. aphrophilus, parts of the normal oral flora, and species harboring RTX (repeats in toxin) family-related cytotoxins. The PCR fragment amplified from the leukotoxin structural gene gave results similar to those given by the cloned leukotoxin gene when used as a probe in hybridization experiments. The hybridization and PCR assays described here are fundamental improvements for the identification of A. actinomycetemcomitans. Images PMID:8349764

  16. In silico identification and analysis of phytoene synthase genes in plants.

    PubMed

    Han, Y; Zheng, Q S; Wei, Y P; Chen, J; Liu, R; Wan, H J

    2015-08-14

    In this study, we examined phytoene synthetase (PSY), the first key limiting enzyme in the synthesis of carotenoids and catalyzing the formation of geranylgeranyl pyrophosphate in terpenoid biosynthesis. We used known amino acid sequences of the PSY gene in tomato plants to conduct a genome-wide search and identify putative candidates in 34 sequenced plants. A total of 101 homologous genes were identified. Phylogenetic analysis revealed that PSY evolved independently in algae as well as monocotyledonous and dicotyledonous plants. Our results showed that the amino acid structures exhibited 5 motifs (motifs 1 to 5) in algae and those in higher plants were highly conserved. The PSY gene structures showed that the number of intron in algae varied widely, while the number of introns in higher plants was 4 to 5. Identification of PSY genes in plants and the analysis of the gene structure may provide a theoretical basis for studying evolutionary relationships in future analyses.

  17. Rotavirus gene structure and function.

    PubMed Central

    Estes, M K; Cohen, J

    1989-01-01

    Knowledge of the structure and function of the genes and proteins of the rotaviruses has expanded rapidly. Information obtained in the last 5 years has revealed unexpected and unique molecular properties of rotavirus proteins of general interest to virologists, biochemists, and cell biologists. Rotaviruses share some features of replication with reoviruses, yet antigenic and molecular properties of the outer capsid proteins, VP4 (a protein whose cleavage is required for infectivity, possibly by mediating fusion with the cell membrane) and VP7 (a glycoprotein), show more similarities with those of other viruses such as the orthomyxoviruses, paramyxoviruses, and alphaviruses. Rotavirus morphogenesis is a unique process, during which immature subviral particles bud through the membrane of the endoplasmic reticulum (ER). During this process, transiently enveloped particles form, the outer capsid proteins are assembled onto particles, and mature particles accumulate in the lumen of the ER. Two ER-specific viral glycoproteins are involved in virus maturation, and these glycoproteins have been shown to be useful models for studying protein targeting and retention in the ER and for studying mechanisms of virus budding. New ideas and approaches to understanding how each gene functions to replicate and assemble the segmented viral genome have emerged from knowledge of the primary structure of rotavirus genes and their proteins and from knowledge of the properties of domains on individual proteins. Localization of type-specific and cross-reactive neutralizing epitopes on the outer capsid proteins is becoming increasingly useful in dissecting the protective immune response, including evaluation of vaccine trials, with the practical possibility of enhancing the production of new, more effective vaccines. Finally, future analyses with recently characterized immunologic and gene probes and new animal models can be expected to provide a basic understanding of what regulates the

  18. TRIM25 Identification in the Chinese Goose: Gene Structure, Tissue Expression Profiles, and Antiviral Immune Responses In Vivo and In Vitro

    PubMed Central

    Zhou, Hao; Wang, Anqi; Sun, Lipei; Wang, Mingshu; Jia, Renyong; Zhu, Dekang; Liu, Mafeng; Yang, Qiao; Wu, Ying; Sun, Kunfeng; Chen, Xiaoyue

    2016-01-01

    The retinoic acid-inducible gene I (RIG-I) and the RIG-I-like receptor (RLR) protein play a critical role in the interferon (IFN) response during RNA virus infection. The tripartite motif containing 25 proteins (TRIM25) was reported to modify caspase activation and RIG-I recruitment domains (CARDs) via ubiquitin. These modifications allow TRIM25 to interact with mitochondrial antiviral signaling molecules (MAVs) and form CARD-CARD tetramers. Goose TRIM25 was cloned from gosling lungs, which possess a 1662 bp open reading flame (ORF). This ORF encodes a predicted 554 amino acid protein consisting of a B-box domain, a coiled-coil domain, and a PRY/SPRY domain. The protein sequence has 89.25% sequence identity with Anas platyrhynchos TRIM25, 78.57% with Gallus gallus TRIM25, and 46.92% with Homo sapiens TRIM25. TRIM25 is expressed in all gosling and adult goose tissues examined. QRT-PCR revealed that goose TRIM25 transcription could be induced by goose IFN-α, goose IFN-γ, and goose IFN-λ, as well as a35 s polyinosinic-polycytidylic acid (poly(I:C)), oligodeoxynucleotides 2006 (ODN 2006), and resiquimod (R848) in vitro; however, it is inhibited in H9N2 infected goslings for unknown reasons. These data suggest that goose TRIM25 might play a positive role in the regulation of the antiviral immune response. PMID:27995135

  19. Identification of the thiamin pyrophosphokinase gene in rainbow trout: Characteristic structure and expression of seven splice variants in tissues and cell lines and during embryo development

    USGS Publications Warehouse

    Yuge, Shinya; Richter, Catherine A.; Wright-Osment, Maureen K.; Nicks, Diane; Saloka, Stephanie K.; Tillitt, Donald E.; Li, Weiming

    2012-01-01

    Thiamin pyrophosphokinase (TPK) converts thiamin to its active form, thiamin diphosphate. In humans, TPK expression is down-regulated in some thiamin deficiency related syndrome, and enhanced during pregnancy. Rainbow trout are also vulnerable to thiamin deficiency in wild life and are useful models for thiamin metabolism research. We identified the tpk gene transcript including seven splice variants in the rainbow trout. Almost all cell lines and tissues examined showed co-expression of several tpk splice variants including a potentially major one at both mRNA and protein levels. However, relative to other tissues, the longest variant mRNA expression was predominant in the ovary and abundant in embryos. During embryogenesis, total tpk transcripts increased abruptly in early development, and decreased to about half of the peak shortly after hatching. In rainbow trout, the tpk transcript complex is ubiquitously expressed for all tissues and cells examined, and its increase in expression could be important in the early-middle embryonic stages. Moreover, decimated tpk expression in a hepatoma cell line relative to hepatic and gonadal cell lines appears to be consistent with previously reported down-regulation of thiamin metabolism in cancer.

  20. TRIM25 Identification in the Chinese Goose: Gene Structure, Tissue Expression Profiles, and Antiviral Immune Responses In Vivo and In Vitro.

    PubMed

    Wei, Yunan; Zhou, Hao; Wang, Anqi; Sun, Lipei; Wang, Mingshu; Jia, Renyong; Zhu, Dekang; Liu, Mafeng; Yang, Qiao; Wu, Ying; Sun, Kunfeng; Chen, Xiaoyue; Cheng, Anchun; Chen, Shun

    2016-01-01

    The retinoic acid-inducible gene I (RIG-I) and the RIG-I-like receptor (RLR) protein play a critical role in the interferon (IFN) response during RNA virus infection. The tripartite motif containing 25 proteins (TRIM25) was reported to modify caspase activation and RIG-I recruitment domains (CARDs) via ubiquitin. These modifications allow TRIM25 to interact with mitochondrial antiviral signaling molecules (MAVs) and form CARD-CARD tetramers. Goose TRIM25 was cloned from gosling lungs, which possess a 1662 bp open reading flame (ORF). This ORF encodes a predicted 554 amino acid protein consisting of a B-box domain, a coiled-coil domain, and a PRY/SPRY domain. The protein sequence has 89.25% sequence identity with Anas platyrhynchos TRIM25, 78.57% with Gallus gallus TRIM25, and 46.92% with Homo sapiens TRIM25. TRIM25 is expressed in all gosling and adult goose tissues examined. QRT-PCR revealed that goose TRIM25 transcription could be induced by goose IFN-α, goose IFN-γ, and goose IFN-λ, as well as a35 s polyinosinic-polycytidylic acid (poly(I:C)), oligodeoxynucleotides 2006 (ODN 2006), and resiquimod (R848) in vitro; however, it is inhibited in H9N2 infected goslings for unknown reasons. These data suggest that goose TRIM25 might play a positive role in the regulation of the antiviral immune response.

  1. Identification of structural and morphogenesis genes of Pseudoalteromonas phage φRIO-1 and placement within the evolutionary history of Podoviridae.

    PubMed

    Hardies, Stephen C; Thomas, Julie A; Black, Lindsay; Weintraub, Susan T; Hwang, Chung Y; Cho, Byung C

    2016-02-01

    The virion proteins of Pseudoalteromonas phage φRIO-1 were identified and quantitated by mass spectrometry and gel densitometry. Bioinformatic methods customized to deal with extreme divergence defined a φRIO-1 tail structure homology group of phages, which was further related to T7 tail and internal virion proteins (IVPs). Similarly, homologs of tubular tail components and internal virion proteins were identified in essentially all completely sequenced podoviruses other than those in the subfamily Picovirinae. The podoviruses were subdivided into several tail structure homology groups, in addition to the RIO-1 and T7 groups. Molecular phylogeny indicated that these groups all arose about the same ancient time as the φRIO-1/T7 split. Hence, the T7-like infection mechanism involving the IVPs was an ancestral property of most podoviruses. The IVPs were found to variably host both tail lysozyme domains and domains destined for the cytoplasm, including the N4 virion RNA polymerase embedded within an IVP-D homolog.

  2. Gene-based and semantic structure of the Gene Ontology as a complex network

    NASA Astrophysics Data System (ADS)

    Coronnello, Claudia; Tumminello, Michele; Miccichè, Salvatore

    2016-09-01

    The last decade has seen the advent and consolidation of ontology based tools for the identification and biological interpretation of classes of genes, such as the Gene Ontology. The Gene Ontology (GO) is constantly evolving over time. The information accumulated time-by-time and included in the GO is encoded in the definition of terms and in the setting up of semantic relations amongst terms. Here we investigate the Gene Ontology from a complex network perspective. We consider the semantic network of terms naturally associated with the semantic relationships provided by the Gene Ontology consortium. Moreover, the GO is a natural example of bipartite network of terms and genes. Here we are interested in studying the properties of the projected network of terms, i.e. a gene-based weighted network of GO terms, in which a link between any two terms is set if at least one gene is annotated in both terms. One aim of the present paper is to compare the structural properties of the semantic and the gene-based network. The relative importance of terms is very similar in the two networks, but the community structure changes. We show that in some cases GO terms that appear to be distinct from a semantic point of view are instead connected, and appear in the same community when considering their gene content. The identification of such gene-based communities of terms might therefore be the basis of a simple protocol aiming at improving the semantic structure of GO. Information about terms that share large gene content might also be important from a biomedical point of view, as it might reveal how genes over-expressed in a certain term also affect other biological processes, molecular functions and cellular components not directly linked according to GO semantics.

  3. Graben Structure Identification Using Gravity Method

    NASA Astrophysics Data System (ADS)

    Hasanah, Lilik; Aminudin, Ahmad; Ardi, Nanang D.; Utomo, Agus. S.; Yuwono, Heru; Kamtono; Wardhana, Dadan. D.; Gaol, Karit L.; Iryanti, Mimin

    2016-01-01

    Graben (trench) is a natural expanse that is lower in altitude compared to its surrounding which is caused by normal faults shift. Changes in rock density can be identified to obtain the subsurface rock structure. Gravity method is a basic method yet very effective in determining subsurface rock structure. Identification of graben structure is the main focus of this research in order to identify the natural resources which may be available under the ground. Research work was performed in various locations in Bogor and according to our analysis using 2D Talwani model, the average density at the surface is 2.5 gram/cm3. 2D modelling results show a fault structure at rocks with relative direction West-East. The fault is forming an extension block faulting which makes the area a graben. In general, the crosssection profile of the model indicates rock layer structure made from limestone rocks (2.75 gr/cm3), sands, flakes, limestone (2.5 gr/cm3), volcanic sediment layer sandstone (2.3 gr/cm3), and clay layer and similar (2.00 - 2.10 gr/cm3).

  4. Identification of a Colonial Chordate Histocompatibility Gene

    PubMed Central

    Voskoboynik, Ayelet; Newman, Aaron M.; Corey, Daniel M.; Sahoo, Debashis; Pushkarev, Dmitry; Neff, Norma F.; Passarelli, Benedetto; Koh, Winston; Ishizuka, Katherine J.; Palmeri, Karla J.; Dimov, Ivan K.; Keasar, Chen; Fan, H. Christina; Mantalas, Gary L.; Sinha, Rahul; Penland, Lolita; Quake, Stephen R.; Weissman, Irving L.

    2013-01-01

    Histocompatibility is the basis by which multicellular organisms of the same species distinguish self from non-self. Relatively little is known about the mechanisms underlying histocompatibility reactions in lower organisms. Botryllus schlosseri is a colonial urochordate, a sister group of vertebrates, that exhibits a genetically determined natural transplantation reaction, whereby self-recognition between colonies leads to formation of parabionts with a common vasculature, whereas rejection occurs between incompatible colonies. Using genetically defined lines, whole-transcriptome sequencing, and genomics, we identified a single gene that encodes self/non-self and determines “graft” outcomes in this organism. This gene is significantly upregulated in colonies poised to undergo fusion or rejection, is highly expressed in the vasculature, and is functionally linked to histocompatibility outcomes. These findings establish a platform for advancing the science of allorecognition. PMID:23888037

  5. Structural identification and damage assessment of large space structures

    NASA Technical Reports Server (NTRS)

    Nelson, Richard B.; Fourney, Michael E.

    1988-01-01

    Two different methods are proposed for identifying the structural properties of large orbiting space structures under ordinary service loads, and for assessing potential damage due to impact or other extreme loadings. It is shown that the behavior of a structure in a weightless environment is nonlinear due to unloaded or lightly loaded connections, an effect which not only complicates structural control, but makes the problem of system identification more difficult than for ground based systems. Both proposed methods assume that the structure is subjected to loads imposed by prescribed self stressing systems sufficient to produce repeatable internal force systems in the structure. The first method is based on statical response and requires a survey of structural displacements produced by the self stressing systems. The displacements do not have to be determined completely (i.e., in three directions at each connection), but more displacement information produces more accurate structural stiffness information. It is anticipated that displacement measurements will be taken using on-board laser measurement devices. The second technique employs dynamic stress wave measurement techniques using on-board loading devices and strain gages to track stress wave propagation through the space structure. This approach, which is in its early stages of development, relies on an analysis of transit times of impulsive stress waves and changes in transit times and wave forms due to changes in structural parameters.

  6. Computational Identification of Novel Genes: Current and Future Perspectives

    PubMed Central

    Klasberg, Steffen; Bitard-Feildel, Tristan; Mallet, Ludovic

    2016-01-01

    While it has long been thought that all genomic novelties are derived from the existing material, many genes lacking homology to known genes were found in recent genome projects. Some of these novel genes were proposed to have evolved de novo, ie, out of noncoding sequences, whereas some have been shown to follow a duplication and divergence process. Their discovery called for an extension of the historical hypotheses about gene origination. Besides the theoretical breakthrough, increasing evidence accumulated that novel genes play important roles in evolutionary processes, including adaptation and speciation events. Different techniques are available to identify genes and classify them as novel. Their classification as novel is usually based on their similarity to known genes, or lack thereof, detected by comparative genomics or against databases. Computational approaches are further prime methods that can be based on existing models or leveraging biological evidences from experiments. Identification of novel genes remains however a challenging task. With the constant software and technologies updates, no gold standard, and no available benchmark, evaluation and characterization of genomic novelty is a vibrant field. In this review, the classical and state-of-the-art tools for gene prediction are introduced. The current methods for novel gene detection are presented; the methodological strategies and their limits are discussed along with perspective approaches for further studies. PMID:27493475

  7. Identification of genes and gene clusters involved in mycotoxin synthesis

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Research methods to identify and characterize genes involved in mycotoxin biosynthetic pathways have evolved considerably over the years. Before whole genome sequences were available (e.g. pre-genomics), work focused primarily on chemistry, biosynthetic mutant strains and molecular analysis of sing...

  8. Optimal matrix approximants in structural identification

    NASA Technical Reports Server (NTRS)

    Beattie, C. A.; Smith, S. W.

    1992-01-01

    Problems of model correlation and system identification are central in the design, analysis, and control of large space structures. Of the numerous methods that have been proposed, many are based on finding minimal adjustments to a model matrix sufficient to introduce some desirable quality into that matrix. In this work, several of these methods are reviewed, placed in a modern framework, and linked to other previously known ideas in computational linear algebra and optimization. This new framework provides a point of departure for a number of new methods which are introduced here. Significant among these is a method for stiffness matrix adjustment which preserves the sparsity pattern of an original matrix, requires comparatively modest computational resources, and allows robust handling of noisy modal data. Numerical examples are included to illustrate the methods presented herein.

  9. Identification of feces by detection of Bacteroides genes.

    PubMed

    Nakanishi, Hiroaki; Shojo, Hideki; Ohmori, Takeshi; Hara, Masaaki; Takada, Aya; Adachi, Noboru; Saito, Kazuyuki

    2013-01-01

    In forensic science, the identification of feces is very important in a variety of crime investigations. However, no sensitive and simple fecal identification method using molecular biological techniques has been reported. Here, we focused on the fecal bacteria, Bacteroides uniformis, Bacteroides vulgatus and Bacteroides thetaiotaomicron, and developed a novel fecal identification method by detection of the gene sequences specific to these bacteria in various body (feces, blood, saliva, semen, urine, vaginal fluids and skin surfaces) and forensic (anal adhesions) specimens. Bacterial gene detection was performed by real-time PCR using a minor groove binding probe to amplify the RNA polymerase β-subunit gene of B. uniformis and B. vulgatus, and the α-1-6 mannanase gene of B. thetaiotaomicron. At least one of these bacteria was detected in the feces of 20 donors; the proportions of B. uniformis, B. vulgatus and B. thetaiotaomicron were 95, 85 and 60%, respectively. Bacteroides vulgatus was also detected in one of six vaginal fluid samples, but B. thetaiotaomicron and B. uniformis were not detected in body samples other than feces. Further, we applied this method to forensic specimens from 18 donors. Eighteen anal adhesions also contained at least one of three bacteria; B. uniformis, B. vulgatus and B. thetaiotaomicron were detected in 89, 78 and 56%, respectively, of the specimens. Thus, these bacteria were present at a high frequency in the fecal and forensic specimens, while either B. uniformis or B. vulgatus was detected in all samples. Therefore, B. uniformis and B. vulgatus represent more appropriate target species than B. thetaiotaomicron for the identification of fecal material. If B. vulgatus and/or B. uniformis are detected, it is likely that the sample contains feces. Taken together, our results suggest that the use of molecular biological techniques will aid the detection of feces in forensic practice, although it is possible that the samples contained

  10. Identification of genes responding to nematode infection in red grouse.

    PubMed

    Webster, L M I; Mello, L V; Mougeot, F; Martinez-Padilla, J; Paterson, S; Piertney, S B

    2011-03-01

    The identification of genes involved in a host's response to parasite infection provides both a means for understanding the pathways involved in immune defence and a target for examining host-parasite co-evolution. Most studies rely on a candidate gene approach derived from model systems to identify gene targets of interest, and there have been a dearth of studies geared towards providing a holistic overview of immune response from natural populations. We carried out an experiment in a natural population of red grouse (Lagopus lagopus scoticus) to manipulate levels of Trichostrongylus tenuis parasite infection. The transcriptomic response of individuals was examined from standard cDNA and suppressive subtractive hybridization (SSH) libraries produced from gut, liver and spleen, enriching for genes expressed in response to T. tenuis infection. A total of 2209 and 3716 unique transcript sequences were identified from the cDNA and SSH libraries, respectively. Forty-five of these had Gene Ontology annotation associated with immune response. Some of these genes have previously been reported from laboratory-based studies of model species as important in immune response to gastrointestinal parasite infection; however, multiple novel genes were also identified. These may reveal novel pathways involved in the host response of grouse to T. tenuis and provide a resource that can be utilized as candidate genes in other species. All sequences described have been deposited in GenBank (accession numbers GW698221-GW706922)

  11. Strategy for structural identification of highway bridges

    NASA Astrophysics Data System (ADS)

    Chalko, Tom J.; Haritos, Nicholas

    1996-11-01

    The University of Melbourne in collaboration with VicRoads, the road and bridge authority in the state of Victoria, has performed a series of static and dynamic tests to evaluate the in-service condition of a number of bridges of different design. From this experience, a strategy for a routine bridge testing procedure has emerged, the presentation of which is the main subject of this paper. The strategy presented involves the selective use of the following methods and techniques: 1) Measurements: vibration response to ambient/traffic excitation, Modal Testing using impact deices and/or shakers. 2) Modal parameter estimation from experimental measurements. 3) FEM modeling: development of generic parametric FEM models of standard/typical designs, and special models. 4) Correlating FEM models and experimental results: updating FEM model parameters, identification of bridge support conditions, estimation of effective stiffness of aged materials and structural elements. 5) Detection of structural faults: simple methods and advanced techniques if required. 6) Prediction of bridge load carrying capacity using verified FEM model: use in re- rating bridges and as a basis or a substitute for proof load testing. The outline of the strategy together with a brief description of the elements above is given. The motivation for the work presented in this paper was to select the state of the art engineering tools to assist relevant authorities in the decision processes necessary for implementing a cost- effective maintenance and replacement policy for the ageing bridge stock.

  12. Applications of graph theory in protein structure identification.

    PubMed

    Yan, Yan; Zhang, Shenggui; Wu, Fang-Xiang

    2011-10-14

    There is a growing interest in the identification of proteins on the proteome wide scale. Among different kinds of protein structure identification methods, graph-theoretic methods are very sharp ones. Due to their lower costs, higher effectiveness and many other advantages, they have drawn more and more researchers' attention nowadays. Specifically, graph-theoretic methods have been widely used in homology identification, side-chain cluster identification, peptide sequencing and so on. This paper reviews several methods in solving protein structure identification problems using graph theory. We mainly introduce classical methods and mathematical models including homology modeling based on clique finding, identification of side-chain clusters in protein structures upon graph spectrum, and de novo peptide sequencing via tandem mass spectrometry using the spectrum graph model. In addition, concluding remarks and future priorities of each method are given.

  13. Bioinformatics-Based Identification of Candidate Genes from QTLs Associated with Cell Wall Traits in Populus

    SciTech Connect

    Ranjan, Priya; Yin, Tongming; Zhang, Xinye; Kalluri, Udaya C; Yang, Xiaohan; Jawdy, Sara; Tuskan, Gerald A

    2009-11-01

    Quantitative trait locus (QTL) studies are an integral part of plant research and are used to characterize the genetic basis of phenotypic variation observed in structured populations and inform marker-assisted breeding efforts. These QTL intervals can span large physical regions on a chromosome comprising hundreds of genes, thereby hampering candidate gene identification. Genome history, evolution, and expression evidence can be used to narrow the genes in the interval to a smaller list that is manageable for detailed downstream functional genomics characterization. Our primary motivation for the present study was to address the need for a research methodology that identifies candidate genes within a broad QTL interval. Here we present a bioinformatics-based approach for subdividing candidate genes within QTL intervals into alternate groups of high probability candidates. Application of this approach in the context of studying cell wall traits, specifically lignin content and S/G ratios of stem and root in Populus plants, resulted in manageable sets of genes of both known and putative cell wall biosynthetic function. These results provide a roadmap for future experimental work leading to identification of new genes controlling cell wall recalcitrance and, ultimately, in the utility of plant biomass as an energy feedstock.

  14. Stochastic system identification in structural dynamics

    USGS Publications Warehouse

    Safak, Erdal

    1988-01-01

    Recently, new identification methods have been developed by using the concept of optimal-recursive filtering and stochastic approximation. These methods, known as stochastic identification, are based on the statistical properties of the signal and noise, and do not require the assumptions of current methods. The criterion for stochastic system identification is that the difference between the recorded output and the output from the identified system (i.e., the residual of the identification) should be equal to white noise. In this paper, first a brief review of the theory is given. Then, an application of the method is presented by using ambient vibration data from a nine-story building.

  15. Identification of p53-target genes in Danio rerio

    PubMed Central

    Mandriani, Barbara; Castellana, Stefano; Rinaldi, Carmela; Manzoni, Marta; Venuto, Santina; Rodriguez-Aznar, Eva; Galceran, Juan; Nieto, M. Angela; Borsani, Giuseppe; Monti, Eugenio; Mazza, Tommaso; Merla, Giuseppe; Micale, Lucia

    2016-01-01

    To orchestrate the genomic response to cellular stress signals, p53 recognizes and binds to DNA containing specific and well-characterized p53-responsive elements (REs). Differences in RE sequences can strongly affect the p53 transactivation capacity and occur even between closely related species. Therefore, the identification and characterization of a species-specific p53 Binding sistes (BS) consensus sequence and of the associated target genes may help to provide new insights into the evolution of the p53 regulatory networks across different species. Although p53 functions were studied in a wide range of species, little is known about the p53-mediated transcriptional signature in Danio rerio. Here, we designed and biochemically validated a computational approach to identify novel p53 target genes in Danio rerio genome. Screening all the Danio rerio genome by pattern-matching-based analysis, we found p53 RE-like patterns proximal to 979 annotated Danio rerio genes. Prioritization analysis identified a subset of 134 candidate pattern-related genes, 31 of which have been investigated in further biochemical assays. Our study identified runx1, axin1, traf4a, hspa8, col4a5, necab2, and dnajc9 genes as novel direct p53 targets and 12 additional p53-controlled genes in Danio rerio genome. The proposed combinatorial approach resulted to be highly sensitive and robust for identifying new p53 target genes also in additional animal species. PMID:27581768

  16. Ensemble Positive Unlabeled Learning for Disease Gene Identification

    PubMed Central

    Yang, Peng; Li, Xiaoli; Chua, Hon-Nian; Kwoh, Chee-Keong; Ng, See-Kiong

    2014-01-01

    An increasing number of genes have been experimentally confirmed in recent years as causative genes to various human diseases. The newly available knowledge can be exploited by machine learning methods to discover additional unknown genes that are likely to be associated with diseases. In particular, positive unlabeled learning (PU learning) methods, which require only a positive training set P (confirmed disease genes) and an unlabeled set U (the unknown candidate genes) instead of a negative training set N, have been shown to be effective in uncovering new disease genes in the current scenario. Using only a single source of data for prediction can be susceptible to bias due to incompleteness and noise in the genomic data and a single machine learning predictor prone to bias caused by inherent limitations of individual methods. In this paper, we propose an effective PU learning framework that integrates multiple biological data sources and an ensemble of powerful machine learning classifiers for disease gene identification. Our proposed method integrates data from multiple biological sources for training PU learning classifiers. A novel ensemble-based PU learning method EPU is then used to integrate multiple PU learning classifiers to achieve accurate and robust disease gene predictions. Our evaluation experiments across six disease groups showed that EPU achieved significantly better results compared with various state-of-the-art prediction methods as well as ensemble learning classifiers. Through integrating multiple biological data sources for training and the outputs of an ensemble of PU learning classifiers for prediction, we are able to minimize the potential bias and errors in individual data sources and machine learning algorithms to achieve more accurate and robust disease gene predictions. In the future, our EPU method provides an effective framework to integrate the additional biological and computational resources for better disease gene predictions

  17. Unraveling algal lipid metabolism: Recent advances in gene identification.

    PubMed

    Khozin-Goldberg, Inna; Cohen, Zvi

    2011-01-01

    Microalgae are now the focus of intensive research due to their potential as a renewable feedstock for biodiesel. This research requires a thorough understanding of the biochemistry and genetics of these organisms' lipid-biosynthesis pathways. Genes encoding lipid-biosynthesis enzymes can now be identified in the genomes of various eukaryotic microalgae. However, an examination of the predicted proteins at the biochemical and molecular levels is mandatory to verify their function. The essential molecular and genetic tools are now available for a comprehensive characterization of genes coding for enzymes of the lipid-biosynthesis pathways in some algal species. This review mainly summarizes the novel information emerging from recently obtained algal gene identification.

  18. Identification of Differentially Expressed Genes Between Osteoblasts and Osteocytes

    PubMed Central

    Paic, Frane; Igwe, John C.; Ravi, Nori; Kronenberg, Mark S.; Franceschetti, Tiziana; Harrington, Patrick; Kuo, Lynn; Shin, Don-Guk; Rowe, David W.; Harris, Stephen E.; Kalajzic, Ivo

    2009-01-01

    Osteocytes represent the most abundant cellular component of mammalian bones with important functions in bone mass maintenance and remodeling. To elucidate the differential gene expression between osteoblasts and osteocytes we completed a comprehensive analysis of their gene profiles. Selective identification of these two mature populations was achieved by utilization of visual markers of bone lineage cells. We have utilized dual GFP reporter mice in which osteocytes are expressing GFP (topaz) directed by the DMP1 promoter, while osteoblasts are identified by expression of GFP (cyan) driven by 2.3kb of the Col1a1 promoter. Histological analysis of 7-day-old neonatal calvaria confirmed the expression pattern of DMP1GFP in osteocytes and Col2.3 in osteoblasts and osteocytes. To isolate distinct populations of cells we utilized fluorescent activated cell sorting (FACS). Cells suspensions were subjected to RNA extraction, in vitro transcription and labeling of cDNA and gene expression was analyzed using the Illumina WG-6v1 BeadChip. Following normalization of raw data from four biological replicates, 3444 genes were called present in all three sorted cell populations: GFP negative, Col2.3cyan+ (osteoblasts), and DMP1topaz+(preosteocytes and osteocytes). We present the genes that showed in excess of a 2-fold change for gene expression between DMP1topaz+ and Col2.3cyan+ cells. The selected genes were classified and grouped according to their associated gene ontology terms. Genes clustered to osteogenesis and skeletal development such as Bmp4, Bmp8a, Dmp1, Enpp1, Phex and Ank were highly expressed in DMP1topaz+cells. Most of the genes encoding extracellular matrix components and secreted proteins had lower expression in DMP1topaz+ cells, while most of the genes encoding plasma membrane proteins were increased. Interestingly a large number of genes associated with muscle development and function and with neuronal phenotype were increased in DMP1topaz+ cells, indicating

  19. Model Structure Determination and Identifiability Problems in System Identification.

    DTIC Science & Technology

    System identification has become one of the most active areas in system theory and its applications. In many engineering applications where the...estimation. As the authors extend the concept of system identification to those classes of problems where prior knowledge on structure is limited, some...basic problems other than parameter estimation become important. System identification consists of three basic sub-problems: (1) pre-estimation

  20. Dynamic Identification for Control of Large Space Structures

    NASA Technical Reports Server (NTRS)

    Ibrahim, S. R.

    1985-01-01

    This is a compilation of reports by the one author on one subject. It consists of the following five journal articles: (1) A Parametric Study of the Ibrahim Time Domain Modal Identification Algorithm; (2) Large Modal Survey Testing Using the Ibrahim Time Domain Identification Technique; (3) Computation of Normal Modes from Identified Complex Modes; (4) Dynamic Modeling of Structural from Measured Complex Modes; and (5) Time Domain Quasi-Linear Identification of Nonlinear Dynamic Systems.

  1. Genome-wide identification and functional analyses of calmodulin genes in Solanaceous species

    PubMed Central

    2013-01-01

    Background Calmodulin (CaM) is a major calcium sensor in all eukaryotes. It binds calcium and modulates the activity of a wide range of downstream proteins in response to calcium signals. However, little is known about the CaM gene family in Solanaceous species, including the economically important species, tomato (Solanum lycopersicum), and the gene silencing model plant, Nicotiana benthamiana. Moreover, the potential function of CaM in plant disease resistance remains largely unclear. Results We performed genome-wide identification of CaM gene families in Solanaceous species. Employing bioinformatics approaches, multiple full-length CaM genes were identified from tomato, N. benthamiana and potato (S. tuberosum) genomes, with tomato having 6 CaM genes, N. benthamiana having 7 CaM genes, and potato having 4 CaM genes. Sequence comparison analyses showed that three tomato genes, SlCaM3/4/5, two potato genes StCaM2/3, and two sets of N. benthamiana genes, NbCaM1/2/3/4 and NbCaM5/6, encode identical CaM proteins, yet the genes contain different intron/exon organization and are located on different chromosomes. Further sequence comparisons and gene structural and phylogenetic analyses reveal that Solanaceous species gained a new group of CaM genes during evolution. These new CaM genes are unusual in that they contain three introns in contrast to only a single intron typical of known CaM genes in plants. The tomato CaM (SlCaM) genes were found to be expressed in all organs. Prediction of cis-acting elements in 5' upstream sequences and expression analyses demonstrated that SlCaM genes have potential to be highly responsive to a variety of biotic and abiotic stimuli. Additionally, silencing of SlCaM2 and SlCaM6 altered expression of a set of signaling and defense-related genes and resulted in significantly lower resistance to Tobacco rattle virus and the oomycete pathogen, Pythium aphanidermatum. Conclusions The CaM gene families in the Solanaceous species tomato, N

  2. Identification of Sinorhizobium meliloti early symbiotic genes by use of a positive functional screen.

    PubMed

    Zhang, Xue-Song; Cheng, Hai-Ping

    2006-04-01

    The soil bacterium Sinorhizobium meliloti establishes nitrogen-fixing symbiosis with its leguminous host plant, alfalfa, following a series of continuous signal exchanges. The complexity of the changes of alfalfa root structures during symbiosis and the amount of S. meliloti genes with unknown functions raised the possibility that more S. meliloti genes may be required for early stages of the symbiosis. A positive functional screen of the entire S. meliloti genome for symbiotic genes was carried out using a modified in vivo expression technology. A group of genes and putative genes were found to be expressed in early stages of the symbiosis, and 23 of them were alfalfa root exudate inducible. These 23 genes were further separated into two groups based on their responses to apigenin, a known nodulation (nod) gene inducer. The group of six genes not inducible by apigenin included the lsrA gene, which is essential for the symbiosis, and the dgkA gene, which is involved in the synthesis of cyclic beta-1,2-glucan required for the S. meliloti-alfalfa symbiosis. In the group of 17 apigenin-inducible genes, most have not been previously characterized in S. meliloti, and none of them belongs to the nod gene family. The identification of this large group of alfalfa root exudate-inducible S. meliloti genes suggests that the interactions in the early stages of the S. meliloti and alfalfa symbiosis could be complex and that further characterization of these genes will lead to a better understanding of the symbiosis.

  3. Gene Identification Algorithms Using Exploratory Statistical Analysis of Periodicity

    NASA Astrophysics Data System (ADS)

    Mukherjee, Shashi Bajaj; Sen, Pradip Kumar

    2010-10-01

    Studying periodic pattern is expected as a standard line of attack for recognizing DNA sequence in identification of gene and similar problems. But peculiarly very little significant work is done in this direction. This paper studies statistical properties of DNA sequences of complete genome using a new technique. A DNA sequence is converted to a numeric sequence using various types of mappings and standard Fourier technique is applied to study the periodicity. Distinct statistical behaviour of periodicity parameters is found in coding and non-coding sequences, which can be used to distinguish between these parts. Here DNA sequences of Drosophila melanogaster were analyzed with significant accuracy.

  4. Gene function prediction based on the Gene Ontology hierarchical structure.

    PubMed

    Cheng, Liangxi; Lin, Hongfei; Hu, Yuncui; Wang, Jian; Yang, Zhihao

    2014-01-01

    The information of the Gene Ontology annotation is helpful in the explanation of life science phenomena, and can provide great support for the research of the biomedical field. The use of the Gene Ontology is gradually affecting the way people store and understand bioinformatic data. To facilitate the prediction of gene functions with the aid of text mining methods and existing resources, we transform it into a multi-label top-down classification problem and develop a method that uses the hierarchical relationships in the Gene Ontology structure to relieve the quantitative imbalance of positive and negative training samples. Meanwhile the method enhances the discriminating ability of classifiers by retaining and highlighting the key training samples. Additionally, the top-down classifier based on a tree structure takes the relationship of target classes into consideration and thus solves the incompatibility between the classification results and the Gene Ontology structure. Our experiment on the Gene Ontology annotation corpus achieves an F-value performance of 50.7% (precision: 52.7% recall: 48.9%). The experimental results demonstrate that when the size of training set is small, it can be expanded via topological propagation of associated documents between the parent and child nodes in the tree structure. The top-down classification model applies to the set of texts in an ontology structure or with a hierarchical relationship.

  5. Identification of wheat chromosomal regions containing expressed resistance genes.

    PubMed Central

    Dilbirligi, Muharrem; Erayman, Mustafa; Sandhu, Devinder; Sidhu, Deepak; Gill, Kulvinder S

    2004-01-01

    The objectives of this study were to isolate and physically localize expressed resistance (R) genes on wheat chromosomes. Irrespective of the host or pest type, most of the 46 cloned R genes from 12 plant species share a strong sequence similarity, especially for protein domains and motifs. By utilizing this structural similarity to perform modified RNA fingerprinting and data mining, we identified 184 putative expressed R genes of wheat. These include 87 NB/LRR types, 16 receptor-like kinases, and 13 Pto-like kinases. The remaining were seven Hm1 and two Hs1(pro-1) homologs, 17 pathogenicity related, and 42 unique NB/kinases. About 76% of the expressed R-gene candidates were rare transcripts, including 42 novel sequences. Physical mapping of 121 candidate R-gene sequences using 339 deletion lines localized 310 loci to 26 chromosomal regions encompassing approximately 16% of the wheat genome. Five major R-gene clusters that spanned only approximately 3% of the wheat genome but contained approximately 47% of the candidate R genes were observed. Comparative mapping localized 91% (82 of 90) of the phenotypically characterized R genes to 18 regions where 118 of the R-gene sequences mapped. PMID:15020436

  6. Identification of nitrogen-fixing genes and gene clusters from metagenomic library of acid mine drainage.

    PubMed

    Dai, Zhimin; Guo, Xue; Yin, Huaqun; Liang, Yili; Cong, Jing; Liu, Xueduan

    2014-01-01

    Biological nitrogen fixation is an essential function of acid mine drainage (AMD) microbial communities. However, most acidophiles in AMD environments are uncultured microorganisms and little is known about the diversity of nitrogen-fixing genes and structure of nif gene cluster in AMD microbial communities. In this study, we used metagenomic sequencing to isolate nif genes in the AMD microbial community from Dexing Copper Mine, China. Meanwhile, a metagenome microarray containing 7,776 large-insertion fosmids was constructed to screen novel nif gene clusters. Metagenomic analyses revealed that 742 sequences were identified as nif genes including structural subunit genes nifH, nifD, nifK and various additional genes. The AMD community is massively dominated by the genus Acidithiobacillus. However, the phylogenetic diversity of nitrogen-fixing microorganisms is much higher than previously thought in the AMD community. Furthermore, a 32.5-kb genomic sequence harboring nif, fix and associated genes was screened by metagenome microarray. Comparative genome analysis indicated that most nif genes in this cluster are most similar to those of Herbaspirillum seropedicae, but the organization of the nif gene cluster had significant differences from H. seropedicae. Sequence analysis and reverse transcription PCR also suggested that distinct transcription units of nif genes exist in this gene cluster. nifQ gene falls into the same transcription unit with fixABCX genes, which have not been reported in other diazotrophs before. All of these results indicated that more novel diazotrophs survive in the AMD community.

  7. Identification of Nitrogen-Fixing Genes and Gene Clusters from Metagenomic Library of Acid Mine Drainage

    PubMed Central

    Yin, Huaqun; Liang, Yili; Cong, Jing; Liu, Xueduan

    2014-01-01

    Biological nitrogen fixation is an essential function of acid mine drainage (AMD) microbial communities. However, most acidophiles in AMD environments are uncultured microorganisms and little is known about the diversity of nitrogen-fixing genes and structure of nif gene cluster in AMD microbial communities. In this study, we used metagenomic sequencing to isolate nif genes in the AMD microbial community from Dexing Copper Mine, China. Meanwhile, a metagenome microarray containing 7,776 large-insertion fosmids was constructed to screen novel nif gene clusters. Metagenomic analyses revealed that 742 sequences were identified as nif genes including structural subunit genes nifH, nifD, nifK and various additional genes. The AMD community is massively dominated by the genus Acidithiobacillus. However, the phylogenetic diversity of nitrogen-fixing microorganisms is much higher than previously thought in the AMD community. Furthermore, a 32.5-kb genomic sequence harboring nif, fix and associated genes was screened by metagenome microarray. Comparative genome analysis indicated that most nif genes in this cluster are most similar to those of Herbaspirillum seropedicae, but the organization of the nif gene cluster had significant differences from H. seropedicae. Sequence analysis and reverse transcription PCR also suggested that distinct transcription units of nif genes exist in this gene cluster. nifQ gene falls into the same transcription unit with fixABCX genes, which have not been reported in other diazotrophs before. All of these results indicated that more novel diazotrophs survive in the AMD community. PMID:24498417

  8. Genome-Wide Analysis of Homeobox Gene Family in Legumes: Identification, Gene Duplication and Expression Profiling

    PubMed Central

    Garg, Rohini; Jain, Mukesh

    2015-01-01

    Homeobox genes encode transcription factors that are known to play a major role in different aspects of plant growth and development. In the present study, we identified homeobox genes belonging to 14 different classes in five legume species, including chickpea, soybean, Medicago, Lotus and pigeonpea. The characteristic differences within homeodomain sequences among various classes of homeobox gene family were quite evident. Genome-wide expression analysis using publicly available datasets (RNA-seq and microarray) indicated that homeobox genes are differentially expressed in various tissues/developmental stages and under stress conditions in different legumes. We validated the differential expression of selected chickpea homeobox genes via quantitative reverse transcription polymerase chain reaction. Genome duplication analysis in soybean indicated that segmental duplication has significantly contributed in the expansion of homeobox gene family. The Ka/Ks ratio of duplicated homeobox genes in soybean showed that several members of this family have undergone purifying selection. Moreover, expression profiling indicated that duplicated genes might have been retained due to sub-functionalization. The genome-wide identification and comprehensive gene expression profiling of homeobox gene family members in legumes will provide opportunities for functional analysis to unravel their exact role in plant growth and development. PMID:25745864

  9. Genome-wide analysis of homeobox gene family in legumes: identification, gene duplication and expression profiling.

    PubMed

    Bhattacharjee, Annapurna; Ghangal, Rajesh; Garg, Rohini; Jain, Mukesh

    2015-01-01

    Homeobox genes encode transcription factors that are known to play a major role in different aspects of plant growth and development. In the present study, we identified homeobox genes belonging to 14 different classes in five legume species, including chickpea, soybean, Medicago, Lotus and pigeonpea. The characteristic differences within homeodomain sequences among various classes of homeobox gene family were quite evident. Genome-wide expression analysis using publicly available datasets (RNA-seq and microarray) indicated that homeobox genes are differentially expressed in various tissues/developmental stages and under stress conditions in different legumes. We validated the differential expression of selected chickpea homeobox genes via quantitative reverse transcription polymerase chain reaction. Genome duplication analysis in soybean indicated that segmental duplication has significantly contributed in the expansion of homeobox gene family. The Ka/Ks ratio of duplicated homeobox genes in soybean showed that several members of this family have undergone purifying selection. Moreover, expression profiling indicated that duplicated genes might have been retained due to sub-functionalization. The genome-wide identification and comprehensive gene expression profiling of homeobox gene family members in legumes will provide opportunities for functional analysis to unravel their exact role in plant growth and development.

  10. Identification of candidate genes in osteoporosis by integrated microarray analysis

    PubMed Central

    Li, J. J.; Wang, B. Q.; Yang, Y.; Li, D.

    2016-01-01

    bone formation. Cite this article: J. J. Li, B. Q. Wang, Q. Fei, Y. Yang, D. Li. Identification of candidate genes in osteoporosis by integrated microarray analysis. Bone Joint Res 2016;5:594–601. DOI: 10.1302/2046-3758.512.BJR-2016-0073.R1. PMID:27908864

  11. Identification of Epigenetically Altered Genes in Sporadic Amyotrophic Lateral Sclerosis

    PubMed Central

    Bender, Diane E.; Delaney, Colin E.; Cataldo, Michael D.; Smith, Andrea L.; Yung, Raymond; Ruden, Douglas M.; Callaghan, Brian C.; Feldman, Eva L.

    2012-01-01

    Amyotrophic lateral sclerosis (ALS) is a terminal disease involving the progressive degeneration of motor neurons within the motor cortex, brainstem and spinal cord. Most cases are sporadic (sALS) with unknown causes suggesting that the etiology of sALS may not be limited to the genotype of patients, but may be influenced by exposure to environmental factors. Alterations in epigenetic modifications are likely to play a role in disease onset and progression in ALS, as aberrant epigenetic patterns may be acquired throughout life. The aim of this study was to identify epigenetic marks associated with sALS. We hypothesize that epigenetic modifications may alter the expression of pathogenesis-related genes leading to the onset and progression of sALS. Using ELISA assays, we observed alterations in global methylation (5 mC) and hydroxymethylation (5 HmC) in postmortem sALS spinal cord but not in whole blood. Loci-specific differentially methylated and expressed genes in sALS spinal cord were identified by genome-wide 5mC and expression profiling using high-throughput microarrays. Concordant direction, hyper- or hypo-5mC with parallel changes in gene expression (under- or over-expression), was observed in 112 genes highly associated with biological functions related to immune and inflammation response. Furthermore, literature-based analysis identified potential associations among the epigenes. Integration of methylomics and transcriptomics data successfully revealed methylation changes in sALS spinal cord. This study represents an initial identification of epigenetic regulatory mechanisms in sALS which may improve our understanding of sALS pathogenesis for the identification of biomarkers and new therapeutic targets. PMID:23300739

  12. DNA Microarrays for Aptamer Identification and Structural Characterization

    DTIC Science & Technology

    2012-09-01

    AFRL-RH-WP-TR-2013-0130 DNA MICROARRAYS FOR APTAMER IDENTIFICATION AND STRUCTURAL CHARACTERIZATION Jennifer A. Martin National Research Council...Interim September 2010 to September 2012 4. TITLE AND SUBTITLE DNA Microarrays for Aptamer Identification and Structural Characterization 5a. CONTRACT... Aptamers are ideal recognition elements, but integrating aptamers onto a sensor platform has two main challenges: (1) aptamers are selected in

  13. Structural damage identification using mathematical optimization techniques

    NASA Technical Reports Server (NTRS)

    Shen, Mo-How Herman

    1991-01-01

    An identification procedure is proposed to identify damage characteristics (location and size of the damage) from dynamic measurements. This procedure was based on minimization of the mean-square measure of difference between measurement data (natural frequencies and mode shapes) and the corresponding predictions obtained from the computational model. The procedure is tested for simulated damage in the form of stiffness changes in a simple fixed free spring mass system and symmetric cracks in a simply supported Bernoulli Euler beam. It is shown that when all the mode information is used in the identification procedure it is possible to uniquely determine the damage properties. Without knowing the complete set of modal information, a restricted region in the initial data space has been found for realistic and convergent solution from the identification process.

  14. Ivory identification by DNA profiling of cytochrome b gene.

    PubMed

    Lee, James Chun-I; Hsieh, Hsing-Mei; Huang, Li-Hung; Kuo, Yi-Chen; Wu, Jane-Hong; Chin, Shih-Chien; Lee, An-Hsing; Linacre, Adrian; Tsai, Li-Chin

    2009-03-01

    Ivory can be visually identified in its native form as coming from an elephant species; however, determining from which of the three extant elephant species a section of ivory originates is more problematic. We report on a method that will identify and distinguish the protected and endangered elephant species, Elephas maximus or Loxodonta sp. To identify the species of elephant from ivory products, we developed three groups of nested PCR amplifications within the cytochrome b gene that generate amplification products using highly degraded DNA isolated from confiscated ivory samples dating from 1995. DNA from a total of 382 out of 453 ivory samples were successfully isolated and amplified leading to species identification. All sequences were searched against GenBank and found to match with E. maximus and Loxodonta sp. with at least 99% similarity. The samples that were tested came from eight Asian elephants, 14 African forest elephants (Loxodonta cyclotis), and 360 African savannah elephants (Loxodonta africana). This study demonstrates a high success rate in species identification of ivory by a nested PCR approach within the cytochrome b gene which provides the necessary information for the protection of endangered species conservation.

  15. Engineering of glucosinolate biosynthesis: candidate gene identification and validation.

    PubMed

    Møldrup, Morten E; Salomonsen, Bo; Halkier, Barbara A

    2012-01-01

    The diverse biological roles of glucosinolates as plant defense metabolites and anticancer compounds have spurred a strong interest in their biosynthetic pathways. Since the completion of the Arabidopsis genome, functional genomics approaches have enabled significant progress on the elucidation of glucosinolate biosynthesis, although in planta validation of candidate gene function often is hampered by time-consuming generation of knockout and overexpression lines in Arabidopsis. To better exploit the increasing amount of data available from genomic sequencing, microarray database and RNAseq, time-efficient methods for identification and validation of candidate genes are needed. This chapter covers the methodology we are using for gene discovery in glucosinolate engineering, namely, guilt-by-association-based in silico methods and fast proof-of-function screens by transient expression in Nicotiana benthamiana. Moreover, the lessons learned in the rapid, transient tobacco system are readily translated to our robust, versatile yeast expression platform, where additional genes critical for large-scale microbial production of glucosinolates can be identified. We anticipate that the methodology presented here will be beneficial to elucidate and engineer other plant biosynthetic pathways.

  16. Identification and characterization of essential genes in the human genome

    PubMed Central

    Wang, Tim; Birsoy, Kıvanç; Hughes, Nicholas W.; Krupczak, Kevin M.; Post, Yorick; Wei, Jenny J.; Lander, Eric S.; Sabatini, David M.

    2015-01-01

    Large-scale genetic analysis of lethal phenotypes has elucidated the molecular underpinnings of many biological processes. Using the bacterial clustered regularly interspaced short palindromic repeats (CRISPR) system, we constructed a genome-wide single-guide RNA (sgRNA) library to screen for genes required for proliferation and survival in a human cancer cell line. Our screen revealed the set of cell-essential genes, which was validated by an orthogonal gene-trap-based screen and comparison with yeast gene knockouts. This set is enriched for genes that encode components of fundamental pathways, are expressed at high levels, and contain few inactivating polymorphisms in the human population. We also uncovered a large group of uncharacterized genes involved in RNA processing, a number of whose products localize to the nucleolus. Lastly, screens in additional cell lines showed a high degree of overlap in gene essentiality, but also revealed differences specific to each cell line and cancer type that reflect the developmental origin, oncogenic drivers, paralogous gene expression pattern, and chromosomal structure of each line. These results demonstrate the power of CRISPR-based screens and suggest a general strategy for identifying liabilities in cancer cells. PMID:26472758

  17. Identification of susceptibility genes and genetic modifiers of human diseases

    NASA Astrophysics Data System (ADS)

    Abel, Kenneth; Kammerer, Stefan; Hoyal, Carolyn; Reneland, Rikard; Marnellos, George; Nelson, Matthew R.; Braun, Andreas

    2005-03-01

    The completion of the human genome sequence enables the discovery of genes involved in common human disorders. The successful identification of these genes is dependent on the availability of informative sample sets, validated marker panels, a high-throughput scoring technology, and a strategy for combining these resources. We have developed a universal platform technology based on mass spectrometry (MassARRAY) for analyzing nucleic acids with high precision and accuracy. To fuel this technology, we generated more than 100,000 validated assays for single nucleotide polymorphisms (SNPs) covering virtually all known and predicted human genes. We also established a large DNA sample bank comprised of more than 50,000 consented healthy and diseased individuals. This combination of reagents and technology allows the execution of large-scale genome-wide association studies. Taking advantage of MassARRAY"s capability for quantitative analysis of nucleic acids, allele frequencies are estimated in sample pools containing large numbers of individual DNAs. To compare pools as a first-pass "filtering" step is a tremendous advantage in throughput and cost over individual genotyping. We employed this approach in numerous genome-wide, hypothesis-free searches to identify genes associated with common complex diseases, such as breast cancer, osteoporosis, and osteoarthritis, and genes involved in quantitative traits like high density lipoproteins cholesterol (HDL-c) levels and central fat. Access to additional well-characterized patient samples through collaborations allows us to conduct replication studies that validate true disease genes. These discoveries will expand our understanding of genetic disease predisposition, and our ability for early diagnosis and determination of specific disease subtype or progression stage.

  18. Exon structure of the human dystrophin gene

    SciTech Connect

    Roberts, R.G.; Coffey, A.J.; Bobrow, M.; Bentley, D.R.

    1993-05-01

    Application of a novel vectorette PCR approach to defining intron-exon boundaries has permitted completion of analysis of the exon structure of the largest and most complex known human gene. The authors present here a summary of the exon structure of the entire human dystrophin gene, together with the sizes of genomic HindIII fragments recognized by each exon, and (where available) GenBank accession numbers for adjacent intron sequences. 20 refs., 1 tab.

  19. Identification of human HK genes and gene expression regulation study in cancer from transcriptomics data analysis.

    PubMed

    Chen, Meili; Xiao, Jingfa; Zhang, Zhang; Liu, Jingxing; Wu, Jiayan; Yu, Jun

    2013-01-01

    The regulation of gene expression is essential for eukaryotes, as it drives the processes of cellular differentiation and morphogenesis, leading to the creation of different cell types in multicellular organisms. RNA-Sequencing (RNA-Seq) provides researchers with a powerful toolbox for characterization and quantification of transcriptome. Many different human tissue/cell transcriptome datasets coming from RNA-Seq technology are available on public data resource. The fundamental issue here is how to develop an effective analysis method to estimate expression pattern similarities between different tumor tissues and their corresponding normal tissues. We define the gene expression pattern from three directions: 1) expression breadth, which reflects gene expression on/off status, and mainly concerns ubiquitously expressed genes; 2) low/high or constant/variable expression genes, based on gene expression level and variation; and 3) the regulation of gene expression at the gene structure level. The cluster analysis indicates that gene expression pattern is higher related to physiological condition rather than tissue spatial distance. Two sets of human housekeeping (HK) genes are defined according to cell/tissue types, respectively. To characterize the gene expression pattern in gene expression level and variation, we firstly apply improved K-means algorithm and a gene expression variance model. We find that cancer-associated HK genes (a HK gene is specific in cancer group, while not in normal group) are expressed higher and more variable in cancer condition than in normal condition. Cancer-associated HK genes prefer to AT-rich genes, and they are enriched in cell cycle regulation related functions and constitute some cancer signatures. The expression of large genes is also avoided in cancer group. These studies will help us understand which cell type-specific patterns of gene expression differ among different cell types, and particularly for cancer.

  20. Genomic platform for efficient identification of fungal secondary metabolism genes

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Fungal secondary metabolites (SMs) are structurally diverse natural compounds, which are thought to have great potential not only for medical industry but also for chemical and environmental industries. Since expansion of sequencing microbial genomes in 1990’s, it has been known that SM genes are ex...

  1. Identification of methylmercury tolerance gene candidates in Drosophila.

    PubMed

    Mahapatra, Cecon T; Bond, Jeffrey; Rand, David M; Rand, Matthew D

    2010-07-01

    Methylmercury (MeHg) is a ubiquitous environmental contaminant that preferentially targets the developing nervous system. Variable outcomes of prenatal MeHg exposure within a population point to a genetic component that regulates MeHg toxicity. We therefore sought to identify fundamental MeHg tolerance genes using the Drosophila model for genetic and molecular dissection of a MeHg tolerance trait. We observe autosomal dominance in a MeHg tolerance trait (development on MeHg food) in both wild-derived and laboratory-selected MeHg-tolerant strains of flies. We performed whole-genome transcript profiling of larval brains of tolerant (laboratory selected) and nontolerant (control) strains in the presence and absence of MeHg stress. Pairwise transcriptome comparisons of four conditions (+/-selection and +/-MeHg) identified a "down-down-up" expression signature, whereby MeHg alone and selection alone resulted in a greater number of downregulated transcripts, and the combination of selection + MeHg resulted in a greater number of upregulated transcripts. Functional annotation cluster analyses showed enrichment for monooxygenases/oxidoreductases, which include cytochrome P450 (CYP) family members. Among the 10 CYPs upregulated with selection + MeHg in tolerant strains, CYP6g1, previously identified as the dichlorodiphenyl trichloroethane resistance allele in flies, was the most highly expressed and responsive to MeHg. Among all the genes, Turandot A (TotA), an immune pathway-regulated humoral response gene, showed the greatest upregulation with selection + MeHg. Neural-specific transgenic overexpression of TotA enhanced MeHg tolerance during pupal development. Identification of TotA and CYP genes as MeHg tolerance genes is an inroad to investigating the conserved function of immune signaling and phase I metabolism pathways in MeHg toxicity and tolerance in higher organisms.

  2. An effective data mining approach for structure damage identification

    NASA Astrophysics Data System (ADS)

    Hong, Soonyoung

    An efficient, neural network based, online nondestructive structural damage identification procedure is developed for determining the damage characteristics (the damage locations and the corresponding severity) from dynamic measurements in near real-time. The procedure utilizes unique data processing techniques to track the most useful modal information based on modal strain energy and to calculate the associated data based on principal component analysis for further processing in a neural network based identification scheme. With two unique features, this approach is significantly different from currently available damage identification procedures for real-time structural integrity monitoring/diagnostics. First, the most sensitive mode for the specific damage is selected in an automatic process which increases the accuracy of damage identification and decreases time spent on neural network training. Second, the approach creates unique data that extracts core characteristics from modal information for a number of different damage cases; and consequently, the accuracy of the damage identification improves significantly. This approach can be operated online providing real time structural damage identification. The method is tested for simulated damage cases, including situations of single and multiple damage in the closely-spaced frequencies of Kabe's model. The philosophy behind the proposed research is to provide a means to online and nondestructively predict the degradation of a structure's integrity (i.e. damage location and the corresponding severity, strength loss).

  3. Identification of novel hereditary cancer genes by whole exome sequencing.

    PubMed

    Sokolenko, Anna P; Suspitsin, Evgeny N; Kuligina, Ekatherina Sh; Bizin, Ilya V; Frishman, Dmitrij; Imyanitov, Evgeny N

    2015-12-28

    Whole exome sequencing (WES) provides a powerful tool for medical genetic research. Several dozens of WES studies involving patients with hereditary cancer syndromes have already been reported. WES led to breakthrough in understanding of the genetic basis of some exceptionally rare syndromes; for example, identification of germ-line SMARCA4 mutations in patients with ovarian hypercalcemic small cell carcinomas indeed explains a noticeable share of familial aggregation of this disease. However, studies on common cancer types turned out to be more difficult. In particular, there is almost a dozen of reports describing WES analysis of breast cancer patients, but none of them yet succeeded to reveal a gene responsible for the significant share of missing heritability. Virtually all components of WES studies require substantial improvement, e.g. technical performance of WES, interpretation of WES results, mode of patient selection, etc. Most of contemporary investigations focus on genes with autosomal dominant mechanism of inheritance; however, recessive and oligogenic models of transmission of cancer susceptibility also need to be considered. It is expected that the list of medically relevant tumor-predisposing genes will be rapidly expanding in the next few years.

  4. Gene structure prediction by linguistic methods

    SciTech Connect

    Dong, S.; Searls, D.B.

    1994-10-01

    The higher-order structure of genes and other features of biological sequences can be described by means of formal grammars. These grammars can then be used by general-purpose parsers to detect and to assemble such structures by means of syntactic pattern recognition. We describe a grammar and parser for eukaryotic protein-encoding genes, which by some measures is as effective as current connectionist and combinatorial algorithms in predicting gene structures for sequence database entries. Parameters of the grammar rules are optimized for several different species, and mixing experiments are performed to determine the degree of species specificity and the relative importance of compositional, signal-based, and syntactic components in gene prediction. 24 refs., 5 figs., 3 tabs.

  5. Phylogeny and identification of Pantoea species and typing of Pantoea agglomerans strains by multilocus gene sequencing.

    PubMed

    Delétoile, Alexis; Decré, Dominique; Courant, Stéphanie; Passet, Virginie; Audo, Jennifer; Grimont, Patrick; Arlet, Guillaume; Brisse, Sylvain

    2009-02-01

    Pantoea agglomerans and other Pantoea species cause infections in humans and are also pathogenic to plants, but the diversity of Pantoea strains and their possible association with hosts and disease remain poorly known, and identification of Pantoea species is difficult. We characterized 36 Pantoea strains, including 28 strains of diverse origins initially identified as P. agglomerans, by multilocus gene sequencing based on six protein-coding genes, by biochemical tests, and by antimicrobial susceptibility testing. Phylogenetic analysis and comparison with other species of Enterobacteriaceae revealed that the genus Pantoea is highly diverse. Most strains initially identified as P. agglomerans by use of API 20E strips belonged to a compact sequence cluster together with the type strain, but other strains belonged to diverse phylogenetic branches corresponding to other species of Pantoea or Enterobacteriaceae and to probable novel species. Biochemical characteristics such as fosfomycin resistance and utilization of d-tartrate could differentiate P. agglomerans from other Pantoea species. All 20 strains of P. agglomerans could be distinguished by multilocus sequence typing, revealing the very high discrimination power of this method for strain typing and population structure in this species, which is subdivided into two phylogenetic groups. PCR detection of the repA gene, associated with pathogenicity in plants, was positive in all clinical strains of P. agglomerans, suggesting that clinical and plant-associated strains do not form distinct populations. We provide a multilocus gene sequencing method that is a powerful tool for Pantoea species delineation and identification and for strain tracking.

  6. Novel gene complex structure determination

    SciTech Connect

    Gatewood, J.M.

    1997-08-01

    This is the final report of a one-year, Laboratory-Directed Research and Development (LORD) project at the Los Alamos National Laboratory. `Operative` chromatin containing exclusively the minor hasten variants was successfully isolated. Linker hasten H1 is quantitatively missing from operative chromatin. One of the aims of this proposal was to determine the proteins responsible for stabilizing operative chromatin. This chromatin is stabilized by microtubule proteins tar and tubulin. Another goal of this project was the structural characterization of operate chromatin nucleosomes. Using solution scattering, nucleosomes containing the minor variants were shown to be structurally distinct from major variant containing nucleosomes. The unusual structure and stabilization of operative chromatin by microtubule proteins provides a possible mechanism for direct interaction of transcription machinery with specific chromatin domains.

  7. Human glucose phosphate isomerase: Exon mapping and gene structure

    SciTech Connect

    Xu, Weiming; Lee, Pauline; Beutler, E.

    1995-10-10

    The structure of the gene for human glucose phosphate isomerase (GPI) has been determined. Three GPI clones were isolated from a human genomic library by using a full-length GPI cDNA probe and were characterized. Oligonucleotides based on the known cDNA sequence were used as primers in amplification and sequence analyses. This led to the identification of the exon-intron junctions. By this approach, 18 exons and 17 introns have been identified. The exons range in size from 44 to 431 nucleotides. The intronic sequences surrounding the exons provide useful information for the identification of mutations that give rise to human GPI deficiency associated with chronic hemolytic anemia. 13 refs., 4 figs., 1 tab.

  8. Identification of flowering genes in strawberry, a perennial SD plant

    PubMed Central

    Mouhu, Katriina; Hytönen, Timo; Folta, Kevin; Rantanen, Marja; Paulin, Lars; Auvinen, Petri; Elomaa, Paula

    2009-01-01

    strawberry. However, novel regulatory mechanisms exist, like SFL that functions as a switch between short-day/low temperature and long-day/high temperature flowering responses between the short-day genotype and the everbearing 'Baron Solemacher'. The identification of putative flowering gene homologs and AP1 as potential marker gene for floral initiation will strongly facilitate the exploration of strawberry flowering pathways. PMID:19785732

  9. The use of gene interaction networks to improve the identification of cancer driver genes

    PubMed Central

    Walkins, Kheston; Tripathi, Vrijesh; John, Melford

    2017-01-01

    Bioinformaticians have implemented different strategies to distinguish cancer driver genes from passenger genes. One of the more recent advances uses a pathway-oriented approach. Methods that employ this strategy are highly dependent on the quality and size of the pathway interaction network employed, and require a powerful statistical environment for analyses. A number of genomic libraries are available in R. DriverNet and DawnRank employ pathway-based methods that use gene interaction graphs in matrix form. We investigated the benefit of combining data from 3 different sources on the prediction outcome of cancer driver genes by DriverNet and DawnRank. An enriched dataset was derived comprising 13,862 genes with 372,250 interactions, which increased its accuracy by 17% and 28%, respectively, compared to their original networks. The study identified 33 new candidate driver genes. Our study highlights the potential of combining networks and weighting edges to provide greater accuracy in the identification of cancer driver genes. PMID:28149674

  10. The use of gene interaction networks to improve the identification of cancer driver genes.

    PubMed

    Ramsahai, Emilie; Walkins, Kheston; Tripathi, Vrijesh; John, Melford

    2017-01-01

    Bioinformaticians have implemented different strategies to distinguish cancer driver genes from passenger genes. One of the more recent advances uses a pathway-oriented approach. Methods that employ this strategy are highly dependent on the quality and size of the pathway interaction network employed, and require a powerful statistical environment for analyses. A number of genomic libraries are available in R. DriverNet and DawnRank employ pathway-based methods that use gene interaction graphs in matrix form. We investigated the benefit of combining data from 3 different sources on the prediction outcome of cancer driver genes by DriverNet and DawnRank. An enriched dataset was derived comprising 13,862 genes with 372,250 interactions, which increased its accuracy by 17% and 28%, respectively, compared to their original networks. The study identified 33 new candidate driver genes. Our study highlights the potential of combining networks and weighting edges to provide greater accuracy in the identification of cancer driver genes.

  11. A Model-Based Joint Identification of Differentially Expressed Genes and Phenotype-Associated Genes

    PubMed Central

    Seo, Minseok; Shin, Su-kyung; Kwon, Eun-Young; Kim, Sung-Eun; Bae, Yun-Jung; Lee, Seungyeoun; Sung, Mi-Kyung; Choi, Myung-Sook; Park, Taesung

    2016-01-01

    Over the last decade, many analytical methods and tools have been developed for microarray data. The detection of differentially expressed genes (DEGs) among different treatment groups is often a primary purpose of microarray data analysis. In addition, association studies investigating the relationship between genes and a phenotype of interest such as survival time are also popular in microarray data analysis. Phenotype association analysis provides a list of phenotype-associated genes (PAGs). However, it is sometimes necessary to identify genes that are both DEGs and PAGs. We consider the joint identification of DEGs and PAGs in microarray data analyses. The first approach we used was a naïve approach that detects DEGs and PAGs separately and then identifies the genes in an intersection of the list of PAGs and DEGs. The second approach we considered was a hierarchical approach that detects DEGs first and then chooses PAGs from among the DEGs or vice versa. In this study, we propose a new model-based approach for the joint identification of DEGs and PAGs. Unlike the previous two-step approaches, the proposed method identifies genes simultaneously that are DEGs and PAGs. This method uses standard regression models but adopts different null hypothesis from ordinary regression models, which allows us to perform joint identification in one-step. The proposed model-based methods were evaluated using experimental data and simulation studies. The proposed methods were used to analyze a microarray experiment in which the main interest lies in detecting genes that are both DEGs and PAGs, where DEGs are identified between two diet groups and PAGs are associated with four phenotypes reflecting the expression of leptin, adiponectin, insulin-like growth factor 1, and insulin. Model-based approaches provided a larger number of genes, which are both DEGs and PAGs, than other methods. Simulation studies showed that they have more power than other methods. Through analysis of

  12. Gene3D: Structural Assignment for Whole Genes and Genomes Using the CATH Domain Structure Database

    PubMed Central

    Buchan, Daniel W.A.; Shepherd, Adrian J.; Lee, David; Pearl, Frances M.G.; Rison, Stuart C.G.; Thornton, Janet M.; Orengo, Christine A.

    2002-01-01

    We present a novel web-based resource, Gene3D, of precalculated structural assignments to gene sequences and whole genomes. This resource assigns structural domains from the CATH database to whole genes and links these to their curated functional and structural annotations within the CATH domain structure database, the functional Dictionary of Homologous Superfamilies (DHS) and PDBsum. Currently Gene3D provides annotation for 36 complete genomes (two eukaryotes, six archaea, and 28 bacteria). On average, between 30% and 40% of the genes of a given genome can be structurally annotated. Matches to structural domains are found using the profile-based method (PSI-BLAST). and a novel protocol, DRange, is used to resolve conflicts in matches involving different homologous superfamilies. PMID:11875040

  13. Chicken rRNA Gene Cluster Structure

    PubMed Central

    Dyomin, Alexander G.; Koshel, Elena I.; Kiselev, Artem M.; Saifitdinova, Alsu F.; Galkina, Svetlana A.; Fukagawa, Tatsuo; Kostareva, Anna A.

    2016-01-01

    Ribosomal RNA (rRNA) genes, whose activity results in nucleolus formation, constitute an extremely important part of genome. Despite the extensive exploration into avian genomes, no complete description of avian rRNA gene primary structure has been offered so far. We publish a complete chicken rRNA gene cluster sequence here, including 5’ETS (1836 bp), 18S rRNA gene (1823 bp), ITS1 (2530 bp), 5.8S rRNA gene (157 bp), ITS2 (733 bp), 28S rRNA gene (4441 bp) and 3’ETS (343 bp). The rRNA gene cluster sequence of 11863 bp was assembled from raw reads and deposited to GenBank under KT445934 accession number. The assembly was validated through in situ fluorescent hybridization analysis on chicken metaphase chromosomes using computed and synthesized specific probes, as well as through the reference assembly against de novo assembled rRNA gene cluster sequence using sequenced fragments of BAC-clone containing chicken NOR (nucleolus organizer region). The results have confirmed the chicken rRNA gene cluster validity. PMID:27299357

  14. Cytochrome b gene for species identification of the conservation animals.

    PubMed

    Hsieh, H M; Chiang, H L; Tsai, L C; Lai, S Y; Huang, N E; Linacre, A; Lee, J C

    2001-10-15

    A partial DNA sequence of cytochrome b gene was used to identify the remains of endangered animals and species endemic to Taiwan. The conservation of animals species included in this study were: the formosan gem-faced civets, leopard cats, tigers, clouded leopards, lion, formosan muntjacs, formosan sika deers, formosan sambars, formosan serows, water buffalo, formosan pangolins and formosan macaques. The control species used included domestic cats, domestic dogs, domestic sheeps, domestic cattles, domestic pigs and humans. Heteroplasmy was detected in the formosan macaque, domestic pig and domestic cats. The frequencies of heteroplasmy in these animals were about 0.25% (1 in 402bp). Sequences were aligned by Pileup program of GCG computer package, and the phylogenetic tree was constructed by the neighbor-joining method. The results of sequence comparison showed that the percentage range of sequence diversity in the same species was from 0.25 to 2.74%, and that between the different species was from 5.97 to 34.83%. The results of phylogenetic analysis showed that the genetic distance between the different species was from 6.33 to 40.59. Animals of the same species, both the endangered animal species and domestic animals, were clustered together in the neighbor-joining tree. Three unknown samples of animal remains were identified by this system. The partial sequence of cytochrome b gene adopted in this study proved to be usable for animal identification.

  15. Towards the identification of (a) gene(s) for autosomal dominant medullary cystic kidney disease.

    PubMed

    Scolari, Francesco; Viola, Battista Fabio; Ghiggeri, Gian Marco; Caridi, Gianluca; Amoroso, Antonio; Rampoldi, Luca; Casari, Giorgio

    2003-01-01

    Medullary cystic kidney disease (MCKD) belongs with nephronophthisis (NPH) in a group of inherited tubulo-interstitial nephritis, which has been referred to as the NPH-MCKD complex. Although MCKD and NPH share morphological features, they differ in several respects. The most common variant is recessive juvenile NPH, with onset in childhood and leading to end-stage renal disease (ESRD) within the 2nd decade of life; the most frequent extrarenal involvement is tapeto-retinal degeneration. MCKD is a dominant condition recognized in later life and leading to ESRD at the age of 50 years; hyperuricemia and gout can be associated features. The first sign of MCKD is polyuria; later, the clinical findings relate to renal insufficiency. Originally, NPH and MCKD were considered separate entities. Subsequently, it has been suggested that the two diseases were a single disorder due to the clinico-pathological identity. This unifying conception was later refuted due to the identification of MCKD dominant families. Recently, considerable insight has been gained into the genetics of the NPH-MCKD complex. The majority of juvenile NPH cases are due to deletion of the NPHP1 gene on chromosome 2q13. Genes for infantile and adolescent NPH have been localized respectively to chromosome 9q22-q31 and 3q22. A new locus, NPHP4, has been recently identified on chromosome 1p36. Two genes predisposing to dominant MCKD, MCKD1 and MCKD2, have been localized to chromosome 1q21 and 16p12. Independent confirmation of the locations of MCKD1 and MCKD2 in other MCKD families, with or without hyperuricemia and gout, has been reported. The gene for familial juvenile hyperuricemic nephropathy (FJHN), a phenotype that is very similar to MCKD, was recently mapped to 16p12, in a region overlapping with the MCKD2 locus, raising the question as to whether MCKD2 and FJHN are allelic variants of the same disease entity. The ultimate proof of the allelism between MCKD2 and FJHN will be provided by the

  16. Statistical Approaches for Gene Selection, Hub Gene Identification and Module Interaction in Gene Co-Expression Network Analysis: An Application to Aluminum Stress in Soybean (Glycine max L.)

    PubMed Central

    Das, Samarendra; Meher, Prabina Kumar; Bhar, Lal Mohan; Mandal, Baidya Nath

    2017-01-01

    Selection of informative genes is an important problem in gene expression studies. The small sample size and the large number of genes in gene expression data make the selection process complex. Further, the selected informative genes may act as a vital input for gene co-expression network analysis. Moreover, the identification of hub genes and module interactions in gene co-expression networks is yet to be fully explored. This paper presents a statistically sound gene selection technique based on support vector machine algorithm for selecting informative genes from high dimensional gene expression data. Also, an attempt has been made to develop a statistical approach for identification of hub genes in the gene co-expression network. Besides, a differential hub gene analysis approach has also been developed to group the identified hub genes into various groups based on their gene connectivity in a case vs. control study. Based on this proposed approach, an R package, i.e., dhga (https://cran.r-project.org/web/packages/dhga) has been developed. The comparative performance of the proposed gene selection technique as well as hub gene identification approach was evaluated on three different crop microarray datasets. The proposed gene selection technique outperformed most of the existing techniques for selecting robust set of informative genes. Based on the proposed hub gene identification approach, a few number of hub genes were identified as compared to the existing approach, which is in accordance with the principle of scale free property of real networks. In this study, some key genes along with their Arabidopsis orthologs has been reported, which can be used for Aluminum toxic stress response engineering in soybean. The functional analysis of various selected key genes revealed the underlying molecular mechanisms of Aluminum toxic stress response in soybean. PMID:28056073

  17. CORECLUST: identification of the conserved CRM grammar together with prediction of gene regulation.

    PubMed

    Nikulova, Anna A; Favorov, Alexander V; Sutormin, Roman A; Makeev, Vsevolod J; Mironov, Andrey A

    2012-07-01

    Identification of transcriptional regulatory regions and tracing their internal organization are important for understanding the eukaryotic cell machinery. Cis-regulatory modules (CRMs) of higher eukaryotes are believed to possess a regulatory 'grammar', or preferred arrangement of binding sites, that is crucial for proper regulation and thus tends to be evolutionarily conserved. Here, we present a method CORECLUST (COnservative REgulatory CLUster STructure) that predicts CRMs based on a set of positional weight matrices. Given regulatory regions of orthologous and/or co-regulated genes, CORECLUST constructs a CRM model by revealing the conserved rules that describe the relative location of binding sites. The constructed model may be consequently used for the genome-wide prediction of similar CRMs, and thus detection of co-regulated genes, and for the investigation of the regulatory grammar of the system. Compared with related methods, CORECLUST shows better performance at identification of CRMs conferring muscle-specific gene expression in vertebrates and early-developmental CRMs in Drosophila.

  18. Spacecraft structural system identification by modal test

    NASA Technical Reports Server (NTRS)

    Chen, J.-C.; Peretti, L. F.; Garba, J. A.

    1984-01-01

    A structural parameter estimation procedure using the measured natural frequencies and kinetic energy distribution as observers is proposed. The theoretical derivation of the estimation procedure is described and its constraints and limitations are explained. This procedure is applied to a large complex spacecraft structural system to identify the inertia matrix using modal test results. The inertia matrix is chosen after the stiffness matrix has been updated by the static test results.

  19. Recursive stochastic subspace identification for structural parameter estimation

    NASA Astrophysics Data System (ADS)

    Chang, C. C.; Li, Z.

    2009-03-01

    Identification of structural parameters under ambient condition is an important research topic for structural health monitoring and damage identification. This problem is especially challenging in practice as these structural parameters could vary with time under severe excitation. Among the techniques developed for this problem, the stochastic subspace identification (SSI) is a popular time-domain method. The SSI can perform parametric identification for systems with multiple outputs which cannot be easily done using other time-domain methods. The SSI uses the orthogonal-triangular decomposition (RQ) and the singular value decomposition (SVD) to process measured data, which makes the algorithm efficient and reliable. The SSI however processes data in one batch hence cannot be used in an on-line fashion. In this paper, a recursive SSI method is proposed for on-line tracking of time-varying modal parameters for a structure under ambient excitation. The Givens rotation technique, which can annihilate the designated matrix elements, is used to update the RQ decomposition. Instead of updating the SVD, the projection approximation subspace tracking technique which uses an unconstrained optimization technique to track the signal subspace is employed. The proposed technique is demonstrated on the Phase I ASCE benchmark structure. Results show that the technique can identify and track the time-varying modal properties of the building under ambient condition.

  20. Structure, expression and functions of MTA genes.

    PubMed

    Kumar, Rakesh; Wang, Rui-An

    2016-05-15

    Metastatic associated proteins (MTA) are integrators of upstream regulatory signals with the ability to act as master coregulators for modifying gene transcriptional activity. The MTA family includes three genes and multiple alternatively spliced variants. The MTA proteins neither have their own enzymatic activity nor have been shown to directly interact with DNA. However, MTA proteins interact with a variety of chromatin remodeling factors and complexes with enzymatic activities for modulating the plasticity of nucleosomes, leading to the repression or derepression of target genes or other extra-nuclear and nucleosome remodeling and histone deacetylase (NuRD)-complex independent activities. The functions of MTA family members are driven by the steady state levels and subcellular localization of MTA proteins, the dynamic nature of modifying signals and enzymes, the structural features and post-translational modification of protein domains, interactions with binding proteins, and the nature of the engaged and resulting features of nucleosomes in the proximity of target genes. In general, MTA1 and MTA2 are the most upregulated genes in human cancer and correlate well with aggressive phenotypes, therapeutic resistance, poor prognosis and ultimately, unfavorable survival of cancer patients. Here we will discuss the structure, expression and functions of the MTA family of genes in the context of cancer cells.

  1. Identification and analysis of the metacaspase gene family in tomato.

    PubMed

    Liu, Hui; Liu, Jian; Wei, Yongxuan

    2016-10-21

    Metacaspases play critical roles in developmentally regulated and environmentally induced programmed cell death in plants. In this study, we systematically identified and analyzed metacaspase gene family in tomato (Solanum lycopersicum). The results illustrated that tomato possesses eight metacaspase genes (SlMC1-8) located on chromosomes 1, 3, 5, 9, and 10. SlMC1-6 belonged to type I metacaspases and had 5 exon/4 intron structures. SlMC7 and 8 were type II metacaspases and had 2 and 3 exons, respectively. Expression analysis revealed distinct expression patterns of SlMCs in various tomato tissues. Cis-regulatory element prediction showed that there were many hormone- and stress-related cis-regulatory elements in SlMCs promoter regions. Quantitative real-time PCR analysis further demonstrated that most of the SlMCs were regulated by drought, cold, salt, methyl viologen, and ethephon treatments. This study provides insights into the characteristics of SlMC genes and laid the foundation for further functional analysis of these genes in tomato.

  2. [Structure and expression of thyroglobulin gene].

    PubMed

    Vassart, G; Brocas, H; Christophe, D; de Martynoff, G; Leriche, A; Mercken, L; Pohl, V; Van Heuverswyn, B

    1982-01-01

    Thyroglobulin is composed of two 300000 dalton polypeptide chains, translated from an 8000 base mRNA. Preparation of a full length cDNA and its cloning in E. coli have lead to the demonstration that the polypeptides of thyroglobulin protomers were identical. Used as molecular probes, the cloned cDNA allowed the isolation of a fragment of thyroglobulin gene. Electron microscopic studies have demonstrated that this gene contains more than 90% intronic material separating small size exons (less than 200 bp). Sequencing of bovine thyroglobulin structural gene is in progress. Preliminary results show evidence for the existence of repetitive segments. Availability of cloned DNA complementary to bovine and human thyroglobulin mRNA allows the study of genetic defects of thyroglobulin gene expression in the human and in various animal models.

  3. Identification of the Pr1 Gene Product Completes the Anthocyanin Biosynthesis Pathway of Maize

    PubMed Central

    Sharma, Mandeep; Cortes-Cruz, Moises; Ahern, Kevin R.; McMullen, Michael; Brutnell, Thomas P.; Chopra, Surinder

    2011-01-01

    In maize, mutations in the pr1 locus lead to the accumulation of pelargonidin (red) rather than cyanidin (purple) pigments in aleurone cells where the anthocyanin biosynthetic pathway is active. We characterized pr1 mutation and isolated a putative F3′H encoding gene (Zmf3′h1) and showed by segregation analysis that the red kernel phenotype is linked to this gene. Genetic mapping using SNP markers confirms its position on chromosome 5L. Furthermore, genetic complementation experiments using a CaMV 35S::ZmF3′H1 promoter–gene construct established that the encoded protein product was sufficient to perform a 3′-hydroxylation reaction. The Zmf3′h1-specific transcripts were detected in floral and vegetative tissues of Pr1 plants and were absent in pr1. Four pr1 alleles were characterized: two carry a 24 TA dinucleotide repeat insertion in the 5′-upstream promoter region, a third has a 17-bp deletion near the TATA box, and a fourth contains a Ds insertion in exon1. Genetic and transcription assays demonstrated that the pr1 gene is under the regulatory control of anthocyanin transcription factors red1 and colorless1. The cloning and characterization of pr1 completes the molecular identification of all genes encoding structural enzymes of the anthocyanin pathway of maize. PMID:21385724

  4. Genome-Wide Identification and Expression Analysis of WRKY Gene Family in Capsicum annuum L.

    PubMed Central

    Diao, Wei-Ping; Snyder, John C.; Wang, Shu-Bin; Liu, Jin-Bing; Pan, Bao-Gui; Guo, Guang-Jun; Wei, Ge

    2016-01-01

    The WRKY family of transcription factors is one of the most important families of plant transcriptional regulators with members regulating multiple biological processes, especially in regulating defense against biotic and abiotic stresses. However, little information is available about WRKYs in pepper (Capsicum annuum L.). The recent release of completely assembled genome sequences of pepper allowed us to perform a genome-wide investigation for pepper WRKY proteins. In the present study, a total of 71 WRKY genes were identified in the pepper genome. According to structural features of their encoded proteins, the pepper WRKY genes (CaWRKY) were classified into three main groups, with the second group further divided into five subgroups. Genome mapping analysis revealed that CaWRKY were enriched on four chromosomes, especially on chromosome 1, and 15.5% of the family members were tandemly duplicated genes. A phylogenetic tree was constructed depending on WRKY domain' sequences derived from pepper and Arabidopsis. The expression of 21 selected CaWRKY genes in response to seven different biotic and abiotic stresses (salt, heat shock, drought, Phytophtora capsici, SA, MeJA, and ABA) was evaluated by quantitative RT-PCR; Some CaWRKYs were highly expressed and up-regulated by stress treatment. Our results will provide a platform for functional identification and molecular breeding studies of WRKY genes in pepper. PMID:26941768

  5. Identification and Validation of Housekeeping Genes for Gene Expression Analysis of Cancer Stem Cells.

    PubMed

    Lemma, Silvia; Avnet, Sofia; Salerno, Manuela; Chano, Tokuhiro; Baldini, Nicola

    2016-01-01

    The characterization of cancer stem cell (CSC) subpopulation, through the comparison of the gene expression signature in respect to the native cancer cells, is particularly important for the identification of novel and more effective anticancer strategies. However, CSC have peculiar characteristics in terms of adhesion, growth, and metabolism that possibly implies a different modulation of the expression of the most commonly used housekeeping genes (HKG), like b-actin (ACTB). Although it is crucial to identify which are the most stable HKG genes to normalize the data derived from quantitative Real-Time PCR analysis to obtain robust and consistent results, an exhaustive validation of reference genes in CSC is still missing. Here, we isolated CSC spheres from different musculoskeletal sarcomas and carcinomas as a model to investigate on the stability of the mRNA expression of 15 commonly used HKG, in respect to the native cells. The selected genes were analysed for the variation coefficient and compared using the popular algorithms NormFinder and geNorm to evaluate stability ranking. As a result, we found that: 1) Tata Binding Protein (TBP), Tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein zeta polypeptide (YWHAZ), Peptidylprolyl isomerase A (PPIA), and Hydroxymethylbilane synthase (HMBS) are the most stable HKG for the comparison between CSC and native cells; 2) at least four reference genes should be considered for robust results; 3) the use of ACTB should not be recommended, 4) specific HKG should be considered for studies that are focused only on a specific tumor type, like sarcoma or carcinoma. Our results should be taken in consideration for all the studies of gene expression analysis of CSC, and will substantially contribute for future investigations aimed to identify novel anticancer therapy based on CSC targeting.

  6. Marfan syndrome gene search intensifies following identification of basic defect

    SciTech Connect

    Randall, T.

    1990-10-03

    Somewhere, quite possible along chromosomes 8 and/or 15, the gene(s) for Marfan syndrome will be found. The search is intensifying following a report that faulty scaffolding in the body's connective tissue appears to be the long sought after defect behind the syndrome, and inherited disorder that has caused the premature death of young, healthy-looking individuals. Finding that something in the living masonry of the human body has proven to be a 30-year inquisition of nearly two dozen molecules that has engaged investigators worldwide. Historically, researchers have searched for a structural flaw in one of the collagen molecules to explain the cause of Marfan Syndrome. Using monoclonal antibodies, researchers have implicated microfibrils, the extracellular filaments that provide a matrix for the deposit of elastin during embryonic development.

  7. Identification of Androgen Receptor and Beta-Catenin Target Genes in Prostate and Prostate Cancer

    DTIC Science & Technology

    2013-10-01

    Transdisciplinary Research in Epigenetics and Cancer Journal Clubs and Transdisciplinary Science Meetings, biweekly and monthly 3. To gain expertise...Target Genes in Prostate and Prostate Cancer PRINCIPAL INVESTIGATOR: Laura Lamb CONTRACTING ORGANIZATION: Washington University...TITLE AND SUBTITLE Identification of Androgen Receptor and Beta-Catenin Target Genes in Prostate and Prostate Cancer 5a. CONTRACT NUMBER Genes in

  8. Recent literature on structural modeling, identification, and analysis

    NASA Technical Reports Server (NTRS)

    Craig, Roy R., Jr.

    1990-01-01

    The literature on the mathematical modeling of large space structures is first reviewed, with attention given to continuum models, model order reduction, substructuring, and computational techniques. System identification and mode verification are then discussed with reference to the verification of mathematical models of large space structures. In connection with analysis, the paper surveys recent research on eigensolvers and dynamic response solvers for large-order finite-element-based models.

  9. Identification and control of structures in space

    NASA Technical Reports Server (NTRS)

    Meirovitch, L.

    1985-01-01

    Work during the period January 1 to June 30, 1985 has concentrated on the completion of the derivation of the equations of motion for the Spacecraft Control Laboratory Experiment (SCOLE) as well on the development of a control scheme for the maneuvering of the spacecraft. The report consists of a paper presented at the Fifth Symposium on Dynamics and Control of Large Structures, June 12 to 14, 1985 at Blacksburg, VA.

  10. Rapid identification of Streptococcus intermedius by PCR with the ily gene as a species marker gene.

    PubMed

    Goto, Takatsugu; Nagamune, Hideaki; Miyazaki, Aiko; Kawamura, Yoshiaki; Ohnishi, Ooki; Hattori, Kanako; Ohkura, Kazuto; Miyamoto, Kazuaki; Akimoto, Shigeru; Ezaki, Takayuki; Hirota, Katsuhiko; Miyake, Yoichiro; Maeda, Takuya; Kourai, Hiroki

    2002-02-01

    Streptococcus intermedius belongs to the anginosus group of streptococci (AGS) and is associated with endogenous infections leading to abscesses in the oral cavity and at deepseated sites, such as the brain and liver. Two other species, S. anginosus and S. constellatus, and some presently unnamed taxa, are also classified as AGS. Recently, S. constellatus subsp. pharyngis, a new subspecies with biochemical characteristics similar to S. intermedius, was described with the potential for causing confusion when trying to identify isolates of these two species routinely with commercial identification kits, such as Rapid ID32 Strep and Fluo-Card Milleri. To correctly identify S. intermedius, this study attempted to develop an accurate PCR identification system with the ily gene as a species marker. This approach relies on amplification of an 819-bp fragment of the ily gene and its 3'-flanking region and is shown here to be specific for S. intermedius strains among all other streptococcal species. Moreover, this PCR system was applicable in direct rapid PCR with whole bacterial cells and TaKaRa Z-Taq (TaKaRa), a highly efficient DNA polymerase, as the template and DNA amplification enzyme, respectively.

  11. Structure of the human annexin VI gene

    SciTech Connect

    Smith, P.D.; Moss, S.E.; Davies, A.; Crumpton, M.J.

    1994-03-29

    The authors report the structure of the human annexin VI gene and compare the intron-exon organization with the known structures of the human annexin I and II genes. The gene is {approximately}60 kbp long and contains 26 exons. Consistent with the published annexin VI cDNA sequence, the genomic sequence at the 3{prime} end does not contain a canonical polyadenylation signal. The genomic sequence upstream of the transcription start site contains TATAA and CAAT motifs. The spatial organization of the exons does not reveal any obvious similarities between the two halves of the annexin VI gene. Comparison of the intron-exon boundary positions of the annexin VI gene with those of annexins I and II reveals that within the repeated domains the break points are perfectly conserved except for exon 8, which is one codon smaller in annexin II. The corresponding point in the second half of annexin VI is represented by two exons, exons 20 and 21. The latter exon is alternatively spliced, giving rise to two annexin VI isoforms that differ with respect to a 6-amino acid insertion at the start of repeat 7. 32 refs., 6 figs.

  12. Identification, Structural, and Functional Characterization of a New Early Gene (6A3-5, 7 kb): Implication in the Proliferation and Differentiation of Smooth Muscle Cells

    PubMed Central

    2005-01-01

    Arterial smooth muscle cells (SMCs) play a major role in atherosclerosis and restenosis. Differential display was used to compare transcription profiles of synthetic SMCs to proliferating rat cultured SMC line. An isolated cDNA band (6A3-5) was shown by northern (7 kb) to be upregulated in the proliferating cell line. A rat tissue northern showed differential expression of this gene in different tissues. Using 5′ RACE and screening of a rat brain library, part of the cDNA was cloned and sequenced (5.4 kb). Sequence searches showed important similarities with a new family of transcription factors, bearing ARID motifs. A polyclonal antibody was raised and showed a protein band of 175 kd, which is localized intracellularly. We also showed that 6A3-5 is upregulated in dedifferentiated SMC (P9) in comparison to contractile SMC ex vivo (P0). This work describes cloning, structural, and functional characterization of a new early gene involved in SMC phenotype modulation. PMID:16192684

  13. Amplification and characterization of eukaryotic structural genes.

    PubMed

    Maniatis, T; Efstratiadis, A; Sim, G K; Kafatos, F

    1978-05-01

    An approach to the study of eukaryotic structural genes which are differentially expressed during development is described. This approach involves the isolation and amplification of mRNA sequences by in vitro conversion of mRNA to double-stranded cDNA followed by molecular cloning in bacterial plasmids. This procedure provides highly specific hybridization probes that can be used to identify genes and their contiguous DNA sequences in genomic DNA, and to detect specific RNA transcripts during development. The nature of the method allows the isolation of individual mRNA sequences from a complex population of molecules at different stages of development.

  14. Nonparametric identification of structural modifications in Laplace domain

    NASA Astrophysics Data System (ADS)

    Suwała, G.; Jankowski, Ł.

    2017-02-01

    This paper proposes and experimentally verifies a Laplace-domain method for identification of structural modifications, which (1) unlike time-domain formulations, allows the identification to be focused on these parts of the frequency spectrum that have a high signal-to-noise ratio, and (2) unlike frequency-domain formulations, decreases the influence of numerical artifacts related to the particular choice of the FFT exponential window decay. In comparison to the time-domain approach proposed earlier, advantages of the proposed method are smaller computational cost and higher accuracy, which leads to reliable performance in more difficult identification cases. Analytical formulas for the first- and second-order sensitivity analysis are derived. The approach is based on a reduced nonparametric model, which has the form of a set of selected structural impulse responses. Such a model can be collected purely experimentally, which obviates the need for design and laborious updating of a parametric model, such as a finite element model. The approach is verified experimentally using a 26-node lab 3D truss structure and 30 identification cases of a single mass modification or two concurrent mass modifications.

  15. Identification and characterisation of synaptonemal complex genes in monotremes.

    PubMed

    Casey, Aaron E; Daish, Tasman J; Grutzner, Frank

    2015-08-10

    The platypus and echidna are the only extant species belonging to the clade of monotremata, the most basal mammalian lineage. The platypus is particularly well known for its mix of mammalian and reptilian characteristics and work in recent years has revealed this also extends to the genetic level. Amongst the monotreme specific features is the unique multiple sex chromosome system (5X4Y in the echidna and 5X5Y in the platypus), which forms a chain in meiosis. This raises questions about sex chromosome organisation at meiosis, including whether there has been changes in genes coding for synaptonemal complex proteins which are involved in homologous synapsis. Here we investigate the key structural components of the synaptonemal complex in platypus and echidna, synaptonemal complex proteins 1, 2 and 3 (SYCP1, SYCP2 and SYCP3). SYCP1 and SYCP2 orthologues are present, conserved and expressed in platypus testis. SYCP3 in contrast is highly diverged, but key residues required for self-association are conserved, while those required for tetramer stabilisation and DNA binding are missing. We also discovered a second SYCP3-like gene (SYCP3-like) in the same region. Comparison with the recently published Y-borne SYCP3 amino acid sequences revealed that SYCP3Y is more similar to SYCP3 in other mammals than the monotreme autosomal SYCP3. It is currently unclear if these changes in the SYCP3 gene repertoire are related to meiotic organisation of the extraordinary monotreme sex chromosome system.

  16. Network-Based Enriched Gene Subnetwork Identification: A Game-Theoretic Approach.

    PubMed

    Razi, Abolfazl; Afghah, Fatemeh; Singh, Salendra; Varadan, Vinay

    2016-01-01

    Identifying subsets of genes that jointly mediate cancer etiology, progression, or therapy response remains a challenging problem due to the complexity and heterogeneity in cancer biology, a problem further exacerbated by the relatively small number of cancer samples profiled as compared with the sheer number of potential molecular factors involved. Pure data-driven methods that merely rely on multiomics data have been successful in discovering potentially functional genes but suffer from high false-positive rates and tend to report subsets of genes whose biological interrelationships are unclear. Recently, integrative data-driven models have been developed to integrate multiomics data with signaling pathway networks in order to identify pathways associated with clinical or biological phenotypes. However, these approaches suffer from an important drawback of being restricted to previously discovered pathway structures and miss novel genomic interactions as well as potential crosstalk among the pathways. In this article, we propose a novel coalition-based game-theoretic approach to overcome the challenge of identifying biologically relevant gene subnetworks associated with disease phenotypes. The algorithm starts from a set of seed genes and traverses a protein-protein interaction network to identify modulated subnetworks. The optimal set of modulated subnetworks is identified using Shapley value that accounts for both individual and collective utility of the subnetwork of genes. The algorithm is applied to two illustrative applications, including the identification of subnetworks associated with (i) disease progression risk in response to platinum-based therapy in ovarian cancer and (ii) immune infiltration in triple-negative breast cancer. The results demonstrate an improved predictive power of the proposed method when compared with state-of-the-art feature selection methods, with the added advantage of identifying novel potentially functional gene subnetworks

  17. Frequency domain identification experiment on a large flexible structure

    NASA Technical Reports Server (NTRS)

    Bayard, D. S.; Hadaegh, F. Y.; Yam, Y.; Scheid, R. E.; Mettler, E.; Milman, M. H.

    1989-01-01

    Recent experiences in the field of flexible structure control in space have indicated a need for on-orbit system identification to support robust control redesign to avoid in-flight instabilities and maintain high spacecraft performance. The authors highlight an automated frequency domain system identification methodology recently developed to fill this need. The methodology supports (1) the estimation of system quantities useful for robust control analysis and design, (2) experiment design tailored to performing system identification in a typically constrained on-orbit environment, and (3) the automation of operations to reduce human-in-the-loop requirements. A basic overview of the methodology is presented first, followed by an experimental verification of the approach performed on the JPL/AFAL testbed facility.

  18. Optimal experiment design for identification of large space structures

    NASA Technical Reports Server (NTRS)

    Bayard, D. S.; Hadaegh, F. Y.; Meldrum, D. R.

    1988-01-01

    The optimal experiment design for on-orbit identification of modal frequency and damping parameters in large flexible space structures is discussed. The main result is a separation principle for D-optimal design which states that under certain conditions the sensor placement problem is decoupled from the input design problem. This decoupling effect significantly simplifies the overall optimal experiment design determination for large MIMO structural systems with many unknown modal parameters. The error from using the uncoupled design is estimated in terms of the inherent damping of the structure. A numerical example is given, demonstrating the usefulness of the simplified criteria in determining optimal designs for on-orbit Space Station identification experiments.

  19. A Benchmark Problem for Development of Autonomous Structural Modal Identification

    NASA Technical Reports Server (NTRS)

    Pappa, Richard S.; Woodard, Stanley E.; Juang, Jer-Nan

    1996-01-01

    This paper summarizes modal identification results obtained using an autonomous version of the Eigensystem Realization Algorithm on a dynamically complex, laboratory structure. The benchmark problem uses 48 of 768 free-decay responses measured in a complete modal survey test. The true modal parameters of the structure are well known from two previous, independent investigations. Without user involvement, the autonomous data analysis identified 24 to 33 structural modes with good to excellent accuracy in 62 seconds of CPU time (on a DEC Alpha 4000 computer). The modal identification technique described in the paper is the baseline algorithm for NASA's Autonomous Dynamics Determination (ADD) experiment scheduled to fly on International Space Station assembly flights in 1997-1999.

  20. Identification and characterization of the carbapenem MM 4550 and its gene cluster in Streptomyces argenteolus ATCC 11009

    PubMed Central

    Li, Rongfeng; Lloyd, Evan P.; Moshos, Kristos A.

    2014-01-01

    Nearly 50 naturally-occurring carbapenem β-lactam antibiotics, most produced by Streptomyces, have been identified. The structural diversity of these compounds is limited to variance of the C-2 and C-6 side chains as well as the stereochemistry at C-5/C-6. These structural motifs are of interest both for their antibiotic effects and their biosynthesis. While the thienamycin gene cluster is the only active gene cluster publically available in this group, more comparative information is needed to understand the genetic basis of these structural differences. We report here the identification of MM 4550, a member of the olivanic acids, as the major carbapenem produced by S. argenteolus ATCC 11009. Its gene cluster was also identified by degenerate PCR and targeted gene inactivation. Sequence analysis revealed that genes encoding the biosynthesis of the bicyclic core and the C-6 and C-2 side chains are well conserved in the MM 4550 and thienamycin gene clusters. Three new genes, cmmSu, cmm17 and cmmPah were found in the new cluster and their putative functions in the sulfonation and epimerization of MM 4550 are proposed. Gene inactivation showed that, in addition to cmmI, two new genes, cmm22/23, encode a two-component response system thought to regulate the production of MM 4550. Overexpression of cmmI, cmm22 and cmm23 promoted MM 4550 production in an engineered strain. Finally, the involvement and putative roles of all genes in the MM 4550 cluster are proposed based on the results of bioinformatics analysis, gene inactivation, and analysis of disruption mutants. Overall, the differences between the thienamycin and MM 4550 gene clusters are reflected in characteristic structural elements and provide new insights into the biosynthesis of the complex carbapenems. PMID:24420617

  1. Large scale in silico identification of MYB family genes from wheat expressed sequence tags.

    PubMed

    Cai, Hongsheng; Tian, Shan; Dong, Hansong

    2012-10-01

    The MYB proteins constitute one of the largest transcription factor families in plants. Much research has been performed to determine their structures, functions, and evolution, especially in the model plants, Arabidopsis, and rice. However, this transcription factor family has been much less studied in wheat (Triticum aestivum), for which no genome sequence is yet available. Despite this, expressed sequence tags are an important resource that permits opportunities for large scale gene identification. In this study, a total of 218 sequences from wheat were identified and confirmed to be putative MYB proteins, including 1RMYB, R2R3-type MYB, 3RMYB, and 4RMYB types. A total of 36 R2R3-type MYB genes with complete open reading frames were obtained. The putative orthologs were assigned in rice and Arabidopsis based on the phylogenetic tree. Tissue-specific expression pattern analyses confirmed the predicted orthologs, and this meant that gene information could be inferred from the Arabidopsis genes. Moreover, the motifs flanking the MYB domain were analyzed using the MEME web server. The distribution of motifs among wheat MYB proteins was investigated and this facilitated subfamily classification.

  2. Identification and characterization of two phospholipid hydroperoxide glutathione peroxidase genes from Apis cerana cerana.

    PubMed

    Wang, Mian; Kang, Mingjiang; Guo, Xingqi; Xu, Baohua

    2010-06-01

    Phospholipid hydroperoxide glutathione peroxidase (PHGPX) plays a crucial role in maintaining the integrity of membrane by reducing hydroperoxides of phospholipids. Here, we report the identification and characterization of two genes, designated AccGtpx-1 and AccGtpx-2, encoding PHGPX proteins from the Chinese honeybees, Apis cerana cerana. Alignment analysis showed that AccGtpx-1 and AccGtpx-2 shared high similarity with other known PHGPXs, which show similar structure to thioredoxin. These single copy genes showed complex exon-intron structures. The mRNA of AccGtpx-1 was detected in larvae, pupae and adults and that AccGtpx-2 was only found in adult worker bees. Furthermore, the expression of AccGtpx-1 could be induced by H(2)O(2), ultraviolet (UV) light, heat shock (37 degrees C), HgCl(2), imidacloprid, cyhalothrin, pyriproxyfen and methomyl. In contrast, AccGtpx-2 expression could only be induced by UV. These results indicated for the first time that the AccGtpx-1 and AccGtpx-2 genes encoding A. cerana cerana PHGPXs are regulated differently in response to environmental stressors.

  3. Identification of a Maize Locus that Modulates the Hypersensitive Defense Response, Using Mutant-Assisted Gene Identification and Characterization (MAGIC)

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The hypersensitive response (HR) is the most visible and arguably the most important defense response in plants, although the details of how it is controlled and executed remain patchy. In this paper a novel genetic technique called MAGIC (Mutant-Assisted Gene Identification and Characterization) i...

  4. The Phaseolus vulgaris ZIP gene family: identification, characterization, mapping, and gene expression

    PubMed Central

    Astudillo, Carolina; Fernandez, Andrea C.; Blair, Matthew W.; Cichy, Karen A.

    2013-01-01

    Zinc is an essential mineral for humans and plants and is involved in many physiological and biochemical processes. In humans, Zn deficiency has been associated with retarded growth and reduction of immune response. In plants, Zn is an essential component of more than 300 enzymes including RNA polymerase, alkaline phosphatase, alcohol dehydrogenase, Cu/Zn superoxidase dismutase, and carbonic anhydrase. The accumulation of Zn in plants involves many genes and characterization of the role of these genes will be useful in biofortification. Here we report the identification and phlyogenetic and sequence characterization of the 23 members of the ZIP (ZRT, IRT like protein) family of metal transporters and three transcription factors of the bZIP family in Phaseolus vulgaris L. Expression patterns of seven of these genes were characterized in two bean genotypes (G19833 and DOR364) under two Zn treatments. Tissue analyzed included roots and leaves at vegetative and flowering stages, and pods at 20 days after flowering. Four of the genes, PvZIP12, PvZIP13, PvZIP16, and Pv bZIP1, showed differential expression based on tissue, Zn treatment, and/or genotype. PvZIP12 and PvZIP13 were both more highly expressed in G19833 than DOR364. PvZIP12 was most highly expressed in vegetative leaves under the Zn (−) treatment. PvZIP16 was highly expressed in leaf tissue, especially leaf tissue at flowering stage grown in the Zn (−) treatment. Pv bZIP1 was most highly expressed in leaf and pod tissue. The 23 PvZIP genes and three bZIP genes were mapped on the DOR364 × G19833 linkage map. PvZIP12, PvZIP13, and PvZIP18, Pv bZIP2, and Pv bZIP3 were located near QTLs for Zn accumulation in the seed. Based on the expression and mapping results, PvZIP12 is a good candidate gene for increasing seed Zn concentration and increase understanding of the role of ZIP genes in metal uptake, distribution, and accumulation of zinc in P. vulgaris. PMID:23908661

  5. Automated output-only dynamic identification of civil engineering structures

    NASA Astrophysics Data System (ADS)

    Rainieri, C.; Fabbrocino, G.

    2010-04-01

    Modal-based damage detection algorithms are well-known techniques for structural health assessment, but they are not commonly used due to the lack of automated modal identification and tracking procedures. Development of such procedures is not a trivial task since traditional modal identification requires extensive interaction from an expert user. Nevertheless, computational efforts have to be carefully considered. If fast on-line data processing is crucial for quickly varying in time systems (such as a rocket burning fuel), a number of vibration-based condition monitoring applications are performed at very different time scales, resulting in satisfactory time steps for on-line data analysis. Moreover, promising results in the field of automated modal identification have been recently achieved. In the present paper, a literature review on this topic is presented and recent developments concerning fully automated output-only modal identification procedures are described. Some case studies are also reported in order to validate the approach. They are characterized by different levels of complexity, in terms of mode coupling, dynamic interaction effects and level of vibration. Advantages and drawbacks of the proposed approach will be pointed out with reference to available experimental results. The final objective is the implementation of a fully automated system for vibration-based structural health monitoring of civil engineering structures and identification of adequate requirements about sensor number and layout, record duration and hardware characteristics able to ensure a reliable low-cost health assessment of constructions. Results of application of the proposed methodology to modal parameter estimation in operational conditions and during ground motions induced by the recent L'Aquila earthquake will be finally presented and discussed.

  6. Identification of genes that function in the TNF-alpha-mediated apoptotic pathway using randomized hybrid ribozyme libraries.

    PubMed

    Kawasaki, Hiroaki; Onuki, Reiko; Suyama, Eigo; Taira, Kazunari

    2002-04-01

    Now that the sequences of many genomes are available, methods are required for the rapid identification of functional genes. We describe here a simple system for the isolation of genes that function in the tumor necrosis factor-alpha (TNF-alpha)-mediated pathway of apoptosis, using RNA helicase-associated ribozyme libraries with randomized substrate-binding arms. Because target-site accessibility considerably limits the effective use of intracellular ribozymes, the effectiveness of a conventional ribozyme library has been low. To overcome this obstacle, we attached to ribozymes an RNA motif (poly(A)-tail) able to interact with endogenous RNA helicase(s) so that the resulting helicase-attached, hybrid ribozymes can more easily attack target sites regardless of their secondary or tertiary structures. When the phenotype of cells changes upon introduction of a ribozyme library, genes responsible for these changes may be identified by sequencing the active ribozyme clones. In the case of TNF-alpha-mediated apoptosis, when a ribozyme library was introduced into MCF-7 cells, surviving clones were completely or partially resistant to TNF-alpha-induced apoptosis. We identified many pro-apoptotic genes and partial sequences of previously uncharacterized genes using this method. Our gene discovery system should be generally applicable to the identification of functional genes in various systems.

  7. Identification of microRNA Genes in Three Opisthorchiids

    PubMed Central

    Ovchinnikov, Vladimir Y.; Afonnikov, Dmitry A.; Vasiliev, Gennady V.; Kashina, Elena V.; Sripa, Banchob; Mordvinov, Viacheslav A.; Katokhin, Alexey V.

    2015-01-01

    Background Opisthorchis felineus, O. viverrini, and Clonorchis sinensis (family Opisthorchiidae) are parasitic flatworms that pose a serious threat to humans in some countries and cause opisthorchiasis/clonorchiasis. Chronic disease may lead to a risk of carcinogenesis in the biliary ducts. MicroRNAs (miRNAs) are small noncoding RNAs that control gene expression at post-transcriptional level and are implicated in the regulation of various cellular processes during the parasite- host interplay. However, to date, the miRNAs of opisthorchiid flukes, in particular those essential for maintaining their complex biology and parasitic mode of existence, have not been satisfactorily described. Methodology/Principal Findings Using a SOLiD deep sequencing-bioinformatic approach, we identified 43 novel and 18 conserved miRNAs for O. felineus (miracidia, metacercariae and adult worms), 20 novel and 16 conserved miRNAs for O. viverrini (adult worms), and 33 novel and 18 conserved miRNAs for C. sinensis (adult worms). The analysis of the data revealed differences in the expression level of conserved miRNAs among the three species and among three the developmental stages of O. felineus. Analysis of miRNA genes revealed two gene clusters, one cluster-like region and one intronic miRNA in the genome. The presence and structure of the two gene clusters were validated using a PCR-based approach in the three flukes. Conclusions This study represents a comprehensive description of miRNAs in three members of the family Opistorchiidae, significantly expands our knowledge of miRNAs in multicellular parasites and provides a basis for understanding the structural and functional evolution of miRNAs in these metazoan parasites. Results of this study also provides novel resources for deeper understanding the complex parasite biology, for further research on the pathogenesis and molecular events of disease induced by the liver flukes. The present data may also facilitate the development of novel

  8. Precise Identification of Graphene's Crystal Structures by Removable Nanowire Epitaxy.

    PubMed

    Kim, Jonghyeok; Lim, Kitaek; Lee, Yangjin; Kim, Jongin; Kim, Kihwan; Park, Jungwon; Kim, Kwanpyo; Lee, Won Chul

    2017-03-16

    Monitoring crystallographic orientations of graphene is important for the reliable generation of graphene-based nanostructures such as van der Waals heterostructures and graphene nanoribbons because their physical properties are dependent on crystal structures. However, facile and precise identification of graphene's crystallographic orientations is still challenging because the majority of current tools rely on complex atomic-scale imaging. Here, we present an identification method for the crystal orientations and grain boundaries of graphene using the directional alignment between epitaxially grown AuCN nanowires and the underlying graphene. Because the nanowires are visible in scanning electron microscopy, crystal orientations of graphene can be inspected with simple procedures. Kernel density estimation that we used in analyzing the nanowire directions enables precise measurement of graphene's crystal orientations. We also confirm that the imaged nanowires can be simply removed without degrading graphene's quality, thus showing that the present method can be practically used for measuring graphene's crystal structures.

  9. Gene Expression Analysis for the Identification of Genes Involved in Early Tumour Development

    NASA Astrophysics Data System (ADS)

    Forte, Stefano; Scarpulla, Salvatore; Lagana, Alessandro; Memeo, Lorenzo; Gulisano, Massimo

    Prostatic tissues can undergo to cancer insurgence and prostate cancer is one of the most common types of malignancies affecting adult men in the United States. Primary adenocarcinoma of the seminal vesi-cles (SVCA) is a very rare neoplasm with only 48 histologically confirmed cases reported in the European and United States literature. Prostatic tissues, seminal vesicles and epididymis belongs all to the same microenvironment, shows a very close morphology and share the same embryological origin. Despite these common features the rate of cancer occurrence is very different. The understanding of molecular differences between non neoplastic prostatic tissues and non neoplastic epididymis or seminal vesicles may suggest potential mechanisms of resistance to tumour occurrence. The comparison of expression patterns of non neoplastic prostatic and seminal vesicles tissues to identify differentially expressed genes can help researchers in the identification of biological actors involved in the early stages of the tumour development.

  10. Cyclic nucleotide gated channel gene family in tomato: genome-wide identification and functional analyses in disease resistance

    PubMed Central

    Saand, Mumtaz A.; Xu, You-Ping; Li, Wen; Wang, Ji-Peng; Cai, Xin-Zhong

    2015-01-01

    The cyclic nucleotide gated channel (CNGC) is suggested to be one of the important calcium conducting channels. Nevertheless, genome-wide identification and systemic functional analysis of CNGC gene family in crop plant species have not yet been conducted. In this study, we performed genome-wide identification of CNGC gene family in the economically important crop tomato (Solanum lycopersicum L.) and analyzed function of the group IVb SlCNGC genes in disease resistance. Eighteen CNGC genes were identified in tomato genome, and four CNGC loci that were misannotated at database were corrected by cloning and sequencing. Detailed bioinformatics analyses on gene structure, domain composition and phylogenetic relationship of the SlCNGC gene family were conducted and the group-specific feature was revealed. Comprehensive expression analyses demonstrated that SlCNGC genes were highly, widely but differently responsive to diverse stimuli. Pharmacological assays showed that the putative CNGC activators cGMP and cAMP enhanced resistance against Sclerotinia sclerotiorum. Silencing of group IVb SlCNGC genes significantly enhanced resistance to fungal pathogens Pythium aphanidermatum and S. sclerotiorum, strongly reduced resistance to viral pathogen Tobacco rattle virus, while attenuated PAMP- and DAMP-triggered immunity as shown by obvious decrease of the flg22- and AtPep1-elicited hydrogen peroxide accumulation in SlCNGC-silenced plants. Additionally, silencing of these SlCNGC genes significantly altered expression of a set of Ca2+ signaling genes including SlCaMs, SlCDPKs, and SlCAMTA3. Collectively, our results reveal that group IV SlCNGC genes regulate a wide range of resistance in tomato probably by affecting Ca2+ signaling. PMID:25999969

  11. Identification, Phylogeny, and Transcript of Chitinase Family Genes in Sugarcane

    PubMed Central

    Su, Yachun; Xu, Liping; Wang, Shanshan; Wang, Zhuqing; Yang, Yuting; Chen, Yun; Que, Youxiong

    2015-01-01

    Chitinases are pathogensis-related proteins, which play an important role in plant defense mechanisms. The role of the sugarcane chitinase family genes remains unclear due to the highly heterozygous and aneuploidy chromosome genetic background of sugarcane. Ten differentially expressed chitinase genes (belonging to class I~VII) were obtained from RNA-seq analysis of both incompatible and compatible sugarcane genotypes during Sporisorium scitamineum challenge. Their structural properties and expression patterns were analyzed. Seven chitinases (ScChiI1, ScChiI2, ScChiI3, ScChiIII1, ScChiIII2, ScChiIV1 and ScChiVI1) showed more positive with early response and maintained increased transcripts in the incompatible interaction than those in the compatible one. Three (ScChiII1, ScChiV1 and ScChiVII1) seemed to have no significant difference in expression patterns between incompatible and compatible interactions. The ten chitinases were expressed differentially in response to hormone treatment as well as having distinct tissue specificity. ScChiI1, ScChiIV1 and ScChiVII1 were induced by various abiotic stresses (NaCl, CuCl2, PEG and 4 °C) and their involvement in plant immunity was demonstrated by over-expression in Nicotiana benthamiana. The results suggest that sugarcane chitinase family exhibit differential responses to biotic and abiotic stress, providing new insights into their function. PMID:26035173

  12. Identification of the sex genes in an early diverged fungus.

    PubMed

    Idnurm, Alexander; Walton, Felicia J; Floyd, Anna; Heitman, Joseph

    2008-01-10

    Sex determination in fungi is controlled by a small, specialized region of the genome in contrast to the large sex-specific chromosomes of animals and some plants. Different gene combinations reside at these mating-type (MAT) loci and confer sexual identity; invariably they encode homeodomain, alpha-box, or high mobility group (HMG)-domain transcription factors. So far, MAT loci have been characterized from a single monophyletic clade of fungi, the Dikarya (the ascomycetes and basidiomycetes), and the ancestral state and evolutionary history of these loci have remained a mystery. Mating in the basal members of the kingdom has been less well studied, and even their precise taxonomic inter-relationships are still obscure. Here we apply bioinformatic and genetic mapping to identify the sex-determining (sex) region in Phycomyces blakesleeanus (Zygomycota), which represents an early branch within the fungi. Each sex allele contains a single gene that encodes an HMG-domain protein, implicating the HMG-domain proteins as an earlier form of fungal MAT loci. Additionally, one allele also contains a copy of a unique, chromosome-specific repetitive element, suggesting a generalized mechanism for the earliest steps in the evolution of sex determination and sex chromosome structure in eukaryotes.

  13. Genome-wide identification, classification, and expression analysis of sHSP genes in Chinese cabbage (Brassica rapa ssp pekinensis).

    PubMed

    Tao, P; Guo, W L; Li, B Y; Wang, W H; Yue, Z C; Lei, J L; Zhong, X M

    2015-10-05

    Small heat shock proteins (sHSPs) are essential for the plant's normal development and stress responses, especially the heat stress response. The information regarding sHSP genes in Chinese cabbage (Brassica rapa ssp pekinensis) is sparse, hence we performed a genome-wide analysis to identify sHSP genes in this species. We identified 26 non-redundant sHSP genes distributed on all chromosomes, except chromosome A7, with one additional sHSP gene identified from an expressed sequence tag library. Chinese cabbage was found to contain more sHSP genes than Arabidopsis. The 27 sHSP genes were classified into 11 subfamilies. We identified 22 groups of sHSP syntenic orthologous genes between Chinese cabbage and Arabidopsis. In addition, eight groups of paralogous genes were uncovered in Chinese cabbage. Protein structures of the 27 Chinese cabbage sHSPs were modeled using Phyre2, which revealed that all of them contain several conserved β strands across different subfamilies. In general, gene structure was conserved within each subfamily between Chinese cabbage and Arabidopsis, except for peroxisome sHSP. Analysis of promoter motifs showed that most sHSP genes contain heat shock elements or variants. We also found that biased gene loss has occurred during the evolution of the sHSP subfamily in Chinese cabbage. Expression analysis indicated that the greatest transcript abundance of most Chinese cabbage sHSP genes was found in siliques and early cotyledon embryos. Thus, genome-wide identification and characterization of sHSP genes is a first and important step in the investigation of sHSPs in Chinese cabbage.

  14. Parameter identification of material constants in a composite shell structure

    SciTech Connect

    Martinez, D.R.; Carne, T.G.

    1988-01-01

    One of the basic requirements in engineering analysis is the development of a mathematical model describing the system. Frequently, comparisons with test data are used as a measurement of the adequacy of the model. An attempt is typically made to update or improve the model to provide a test-verified analysis tool. System identification provides a systematic procedure for accomplishing this task. The terms system identification, parameter estimation, and model correlation all refer to techniques that use test information to update or verify mathematical models. The goal of system identification is to improve the correlation of model predictions with measured test data, and produce accurate, predictive models. For nonmetallic structures the modeling task is often difficult due to uncertainties in the elastic constants. In this work a parameter identification procedure was used to determine the elastic constants of a cylindrical, graphite epoxy composite shell. A finite element model of the shell was created, which included uncertain orthotropic elastic constants. A modal survey test was then performed on the shell. The resulting modal data, along with the finite element model of the shell, were used in a Bayes estimation algorithm. This permitted the use of covariance matrices to weight the confidence in the initial parameter values as well as confidence in the measured test data. The estimation procedure also employed the concept of successive linearization to obtain an approximate solution to the original nonlinear estimation problem. 17 refs., 7 figs.

  15. Rapid detection and identification of Clostridium chauvoei by PCR based on flagellin gene sequence.

    PubMed

    Kojima, A; Uchida, I; Sekizaki, T; Sasaki, Y; Ogikubo, Y; Tamura, Y

    2001-02-26

    We developed a one-step polymerase chain reaction (PCR) system that specifically detects Clostridium chauvoei. Oligonucleotide primers were designed to amplify a 516-bp fragment of the structural flagellin gene. The specificity of the PCR was investigated by analyzing 59 strains of clostridia, and seven strain of other genera. A 516-bp fragment could be amplified from all the C. chauvoei strains tested, and no amplification was observed by using DNAs from the other strains tested, including Clostridium septicum. Similarly, this PCR-based method specifically detected C. chauvoei DNA sequences in samples of muscle and exudate of obtained from mice within 12h of inoculation. In tests using samples of muscle or liver, the limit of detection was about 200 organisms per reaction. These results suggest that the one-step PCR system may be useful for direct detection and identification of C. chauvoei in clinical specimens.

  16. Structure identification methods for atomistic simulations of crystalline materials

    DOE PAGES

    Stukowski, Alexander

    2012-05-28

    Here, we discuss existing and new computational analysis techniques to classify local atomic arrangements in large-scale atomistic computer simulations of crystalline solids. This article includes a performance comparison of typical analysis algorithms such as common neighbor analysis (CNA), centrosymmetry analysis, bond angle analysis, bond order analysis and Voronoi analysis. In addition we propose a simple extension to the CNA method that makes it suitable for multi-phase systems. Finally, we introduce a new structure identification algorithm, the neighbor distance analysis, which is designed to identify atomic structure units in grain boundaries.

  17. An adaptive identification and control scheme for large space structures

    NASA Technical Reports Server (NTRS)

    Carroll, J. V.

    1988-01-01

    A unified identification and control scheme capable of achieving space at form performance objectives under nominal or failure conditions is described. Preliminary results are also presented, showing that the methodology offers much promise for effective robust control of large space structures. The control method is a multivariable, adaptive, output predictive controller called Model Predictive Control (MPC). MPC uses a state space model and input reference trajectories of set or tracking points to adaptively generate optimum commands. For a fixed model, MPC processes commands with great efficiency, and is also highly robust. A key feature of MPC is its ability to control either nonminimum phase or open loop unstable systems. As an output controller, MPC does not explicitly require full state feedback, as do most multivariable (e.g., Linear Quadratic) methods. Its features are very useful in LSS operations, as they allow non-collocated actuators and sensors. The identification scheme is based on canonical variate analysis (CVA) of input and output data. The CVA technique is particularly suited for the measurement and identification of structural dynamic processes - that is, unsteady transient or dynamically interacting processes such as between aerodynamics and structural deformation - from short, noisy data. CVA is structured so that the identification can be done in real or near real time, using computationally stable algorithms. Modeling LSS dynamics in 1-g laboratories has always been a major impediment not only to understanding their behavior in orbit, but also to controlling it. In cases where the theoretical model is not confirmed, current methods provide few clues concerning additional dynamical relationships that are not included in the theoretical models. CVA needs no a priori model data, or structure; all statistically significant dynamical states are determined using natural, entropy-based methods. Heretofore, a major limitation in applying adaptive

  18. Inferring gene structures in genomic sequences using pattern recognition and expressed sequence tags.

    PubMed

    Xu, Y; Mural, R J; Uberbacher, E C

    1997-01-01

    Computational methods for gene identification in genomic sequences typically have two phases: coding region prediction and gene parsing. While there are many effective methods for predicting coding regions (exons), parsing the predicted exons into proper gene structures, to a large extent, remains an unsolved problem. This paper presents an algorithm for inferring gene structures from predicted exon candidates, based on Expressed Sequence Tags (ESTs) and biological intuition/rules. The algorithm first finds all the related ESTs in the EST database (dbEST) for each predicted exon, and infers the boundaries of one or a series of genes based on the available EST information and biological rules. Then it constructs gene models within each pair of gene boundaries, that are most consistent with the EST information. By exploiting EST information and biological rules, the algorithm can (1) model complicated multiple gene structures, including embedded genes, (2) identify falsely-predicted exons and locate missed exons, and (3) make more accurate exon boundary predictions. The algorithm has been implemented and tested on long genomic sequences with a number of genes. Test results show that very accurate (predicted) gene models can be expected when related ESTs exist for the predicted exons.

  19. Inferring gene structures in genomic sequences using pattern recognition and expressed sequence tags

    SciTech Connect

    Xu, Y.; Mural, R.; Uberbacher, E.

    1997-02-01

    Computational methods for gene identification in genomic sequences typically have two phases: coding region prediction and gene parsing. While there are many effective methods for predicting coding regions (exons), parsing the predicted exons into proper gene structures, to a large extent, remains an unsolved problem. This paper presents an algorithm for inferring gene structures from predicted exon candidates, based on Expressed Sequence Tags (ESTs) and biological intuition/rules. The algorithm first finds all the related ESTs in the EST database (dbEST) for each predicted exon, and infers the boundaries of one or a series of genes based on the available EST information and biological rules. Then it constructs gene models within each pair of gene boundaries, that are most consistent with the EST information. By exploiting EST information and biological rules, the algorithm can (1) model complicated multiple gene structures, including embedded genes, (2) identify falsely-predicted exons and locate missed exons, and (3) make more accurate exon boundary predictions. The algorithm has been implemented and tested on long genomic sequences with a number of genes. Test results show that very accurate (predicted) gene models can be expected when related ESTs exist for the predicted exons.

  20. Altered gene expression correlates with DNA structure.

    PubMed

    Kohwi, Y; Kohwi-Shigematsu, T

    1991-12-01

    We examined the participation of triplex DNA structure in gene regulation using a poly(dG)-poly(dC) sequence as a model. We show that a poly(dG)-poly(dC) sequence, which can adopt an intramolecular dG.dG.dC triplex under superhelical strain, strongly augments gene expression when placed 5' to a promoter. The activity of this sequence exhibits a striking length dependency: dG tracts of 27-30 bp augment the expression of a reporter gene to a level comparable to that observed with the polyoma enhancer in mouse LTK- cells, whereas tracts of 35 bp and longer have virtually no effect. A supercoiled plasmid containing a dG tract of 30 bp competes in vivo for a trans-acting factor as revealed by reduction in the reporter gene transcription driven by the (dG)29/promoter of the test plasmid, while dGs of 35 bp and longer in the competition plasmid failed to compete. In purified supercoiled plasmid DNA at a superhelical density of -0.05, dG tracts of 32 bp and longer form a triplex, whereas those of 30 bp and shorter remain double-stranded under a PBS solution. These results suggest that a localized superhelical strain can exist, at least transiently, in mouse LTK- cells, and before being relaxed by topoisomerases this rapidly induces dG tracts of 35 bp and longer to adopt a triplex preventing the factor from binding. Thus, these data suggest that a poly(dG)-poly(dC) sequence can function as a negative regulator by adopting an intramolecular triple helix structure in vivo.

  1. Chromosomal Anomalies in Individuals with Autism: A Strategy Towards the Identification of Genes Involved in Autism

    ERIC Educational Resources Information Center

    Castermans, Dries; Wilquet, Valerie; Steyaert, Jean; van de Ven, Wim; Fryns, Jean-Pierre; Devriendt, Koen

    2004-01-01

    We review the different strategies currently used to try to identify susceptibility genes for idiopathic autism. Although identification of genes is usually straightforward in Mendelian disorders, it has proved to be much more difficult to establish in polygenic disorders like autism. Neither genome screens of affected siblings nor the large…

  2. Diagnostic test for prenatal identification of Down's syndrome and mental retardation and gene therapy therefor

    DOEpatents

    Smith, Desmond J.; Rubin, Edward M.

    2000-01-01

    A a diagnostic test useful for prenatal identification of Down syndrome and mental retardation. A method for gene therapy for correction and treatment of Down syndrome. DYRK gene involved in the ability to learn. A method for diagnosing Down's syndrome and mental retardation and an assay therefor. A pharmaceutical composition for treatment of Down's syndrome mental retardation.

  3. Genome-wide identification and expression analysis of WNK kinase gene family in rice.

    PubMed

    Manuka, Rakesh; Saddhe, Ankush Ashok; Kumar, Kundan

    2015-12-01

    Eukaryotic protein kinases represent one of the largest gene families involved in diverse regulatory functions. WNK (With No Lysine) kinases are members of ser/thr protein kinase family, which lack conserved catalytic lysine (K) residue at protein kinase subdomain II and is replaced by either asparagine, serine or glycine residues. They are involved in regulation of flowering time, circadian rhythms and abiotic stresses in Arabidopsis thaliana. In the present study, we have identified 9 members of WNK in rice, showed resemblance to Arabidopsis and human WNK and clustered into five main clades phylogenetically. The predicted genes structure, bonafide conserved signature motif and domains strongly support their identity, as members of WNK kinase family. We have analyzed their chromosomal distribution, physio-chemical properties, subcellular localizations and cis-elements in the promoter regions in silico. Further, transcript analysis of OsWNK by qRT-PCR revealed their differential regulation in tissue specific and abiotic stresses libraries. In conclusion, the identification of nine OsWNK and transcript level expression pattern under abiotic stress using qRT-PCR in rice will significantly contribute towards the understanding of WNK genes in monocots and thus provide a set up for functional genomics studies of WNK protein kinases.

  4. Genome-wide identification and expression profile of homeodomain-leucine zipper Class I gene family in Cucumis sativus.

    PubMed

    Liu, Wei; Fu, Rao; Li, Qiang; Li, Jing; Wang, Lina; Ren, Zhonghai

    2013-12-01

    The HD-Zip proteins comprise one of the largest families of transcription factors in plants. HD-Zip genes have been grouped into four different classes: HD-Zip I to IV. In this study, we described the identification and structural characterization of Class I HD-Zip genes in cucumber. A complete set of 13 HD-Zip I genes were identified in the cucumber genome using Blast search tools and phylogeny. The cucumber HD-Zip I family contained a smaller number of identified genes compared to other higher plants such as Arabidopsis and maize due to the absence of recent gene duplication events. Chromosomal location of these genes revealed that they are distributed unevenly across 5 of 7 chromosomes. Tissue-specific expression profiles showed that 13 cucumber HD-Zip I genes were expressed in at least one of the tissues, which suggested that cucumber HD-Zip I genes took part in many cellular processes. The transcript abundance level analysis during abiotic stress conditions (NaCl, ABA and low temperature treatments) identified a group of HD-Zip I genes that responded to one or more treatments.

  5. Identification of genes associated with asexual reproduction in Phyllosticta citricarpa mutants obtained through Agrobacterium tumefaciens transformation.

    PubMed

    Goulin, Eduardo Henrique; Savi, Daiani Cristina; Petters, Desirrê Alexia Lourenço; Kava, Vanessa; Galli-Terasawa, Lygia; Silva, Geraldo José; Glienke, Chirlei

    2016-11-01

    Phyllosticta citricarpa is the epidemiological agent of Citrus Black Spot (CBS) disease, which is responsible for large economic losses worldwide. CBS is characterized by the presence of spores (pycnidiospores) in dark lesions of fruit, which are also responsible for short distance dispersal of the disease. The identification of genes involved in asexual reproduction of P. citricarpa can be an alternative for directional disease control. We analyzed a library of mutants obtained through Agrobacterium tumefaciens transformation system, looking for alterations in growth and reproductive structure formation. Two mutant strains were found to have lost the ability to form pycnidia. The flanking T-DNA insertion regions were identified on P. citricarpa genome by using blast analysis and further gene prediction. The predicted genes containing the T-DNA insertions were identified as Spindle Poison Sensitivity Scp3, Ion Transport protein, and Cullin Binding proteins. The Ion Transport and Cullin Binding proteins are known to be correlated with sexual and asexual reproduction in fungi; however, the exact mechanism by which these proteins act on spore formation in P. citricarpa needs to be better characterized. The Scp3 proteins are suggested here for the first time as being associated with asexual reproduction in fungus. This protein is associated with microtubule formation, and as microtubules play an essential role as spindle machinery for chromosome segregation and cytokinesis, insertions in this gene can lead to abnormal formations, such as that observed here in P. citricarpa. We suggest these genes as new targets for fungicide development and CBS disease control, by iRNA.

  6. Applications of nonlinear system identification to structural health monitoring.

    SciTech Connect

    Farrar, C. R.; Sohn, H.; Robertson, A. N.

    2004-01-01

    The process of implementing a damage detection strategy for aerospace, civil and mechanical engineering infrastructure is referred to as structural health monitoring (SHM). In many cases damage causes a structure that initially behaves in a predominantly linear manner to exhibit nonlinear response when subject to its operating environment. The formation of cracks that subsequently open and close under operating loads is an example of such damage. The damage detection process can be significantly enhanced if one takes advantage of these nonlinear effects when extracting damage-sensitive features from measured data. This paper will provide an overview of nonlinear system identification techniques that are used for the feature extraction process. Specifically, three general approaches that apply nonlinear system identification techniques to the damage detection process are discussed. The first two approaches attempt to quantify the deviation of the system from its initial linear characteristics that is a direct result of damage. The third approach is to extract features from the data that are directly related to the specific nonlinearity associated with the damaged condition. To conclude this discussion, a summary of outstanding issues associated with the application of nonlinear system identification techniques to the SHM problem is presented.

  7. Density based pruning for identification of differentially expressed genes from microarray data

    PubMed Central

    2010-01-01

    Motivation Identification of differentially expressed genes from microarray datasets is one of the most important analyses for microarray data mining. Popular algorithms such as statistical t-test rank genes based on a single statistics. The false positive rate of these methods can be improved by considering other features of differentially expressed genes. Results We proposed a pattern recognition strategy for identifying differentially expressed genes. Genes are mapped to a two dimension feature space composed of average difference of gene expression and average expression levels. A density based pruning algorithm (DB Pruning) is developed to screen out potential differentially expressed genes usually located in the sparse boundary region. Biases of popular algorithms for identifying differentially expressed genes are visually characterized. Experiments on 17 datasets from Gene Omnibus Database (GEO) with experimentally verified differentially expressed genes showed that DB pruning can significantly improve the prediction accuracy of popular identification algorithms such as t-test, rank product, and fold change. Conclusions Density based pruning of non-differentially expressed genes is an effective method for enhancing statistical testing based algorithms for identifying differentially expressed genes. It improves t-test, rank product, and fold change by 11% to 50% in the numbers of identified true differentially expressed genes. The source code of DB pruning is freely available on our website http://mleg.cse.sc.edu/degprune PMID:21047384

  8. S-score: a scoring system for the identification and prioritization of predicted cancer genes.

    PubMed

    de Souza, Jorge E S; Fonseca, André F; Valieris, Renan; Carraro, Dirce M; Wang, Jean Y J; Kolodner, Richard D; de Souza, Sandro J

    2014-01-01

    A new method, which allows for the identification and prioritization of predicted cancer genes for future analysis, is presented. This method generates a gene-specific score called the "S-Score" by incorporating data from different types of analysis including mutation screening, methylation status, copy-number variation and expression profiling. The method was applied to the data from The Cancer Genome Atlas and allowed the identification of known and potentially new oncogenes and tumor suppressors associated with different clinical features including shortest term of survival in ovarian cancer patients and hormonal subtypes in breast cancer patients. Furthermore, for the first time a genome-wide search for genes that behave as oncogenes and tumor suppressors in different tumor types was performed. We envisage that the S-score can be used as a standard method for the identification and prioritization of cancer genes for follow-up studies.

  9. Simultaneous expansion and orthogonalization of measured modes for structure identification

    NASA Technical Reports Server (NTRS)

    Smith, Suzanne Weaver; Beattie, Christopher A.

    1990-01-01

    Tests of large structures on-orbit will be performed with measurements at a relatively few structure points. Values for the unmeasured degrees of freedom (dofs) can be estimated based on measured dofs and analytical model dynamic information. These 'expanded' mode shapes are useful for optimal-update identification and damage location as well as test/analysis correlation. A new method of expansion for test mode shape vectors is developed from the orthogonal Procrustes problem from computational linear algebra. A subspace defined by the set of measured dofs is compared to a subspace defined by mode shapes from an analytical model of the structure. The method simultaneously expands and orthogonalizes the mode shape vectors. Two demonstration problems are used to compare the new method to current expansion techniques. One demonstration uses test data from a laboratory scale-model truss structure. Performance of the new method is comparable or superior to that of the previous expansion methods which require separate orthogonalization.

  10. Modal identification experiment design for large space structures

    NASA Technical Reports Server (NTRS)

    Kim, Hyoung M.; Doiron, Harold H.

    1991-01-01

    This paper describes an on-orbit modal identification experiment design for large space structures. Space Station Freedom (SSF) systems design definition and structural dynamic models were used as representative large space structures for optimizing experiment design. Important structural modes of study models were selected to provide a guide for experiment design and used to assess the design performance. A pulsed random excitation technique using propulsion jets was developed to identify closely-spaced modes. A measuremenat location selection approach was developed to estimate accurate mode shapes as well as frequencies and damping factors. The data acquisition system and operational scenarios were designed to have minimal impacts on the SSF. A comprehensive simulation was conducted to assess the overall performance of the experiment design.

  11. Mode shape identification using residues of measured offshore structure data

    NASA Astrophysics Data System (ADS)

    Wang, Chao; Liu, Fushun; Lu, Hongchao

    2017-04-01

    Compared to traditional mode shape identification methods such as eigensystem realization algorithm (ERA), this article proposes a mode shape identification method based on estimated residues of measured data and the theoretical relationship between the estimated residues and the mode shapes from the state space model is obtained by defining a coefficient matrix. A mass-spring model with five degrees of freedom (DOFs) is utilized to demonstrate the approach. The numerical results indicate that the estimated residues are the mode shapes of structures, but with a coefficient matrix to maintain consistency with the mode shapes from the ERA. Using MATLAB a complicated numerical jacket platform is built to further study the proposed method. The results show that mode shapes consistent with those from the ERA could be obtained by taking the defined coefficient matrix into account, which is also demonstrated by a physical beam model that was built at Ocean University of China.

  12. Identification of Krit1B: a novel alternative splicing isoform of cerebral cavernous malformation gene-1.

    PubMed

    Retta, Saverio Francesco; Avolio, Maria; Francalanci, Floriana; Procida, Simone; Balzac, Fiorella; Degani, Simona; Tarone, Guido; Silengo, Lorenzo

    2004-01-21

    Cerebral cavernous malformations (CCM) are vascular malformations, mostly located in the central nervous system, which occur in 0.1-0.5% of the population. They are characterized by abnormally enlarged and often leaking capillary cavities without intervening neural parenchyma. Some are clinically silent, whereas others cause seizures, intracerebral haemorrhage or focal neurological deficits. These vascular malformations can arise sporadically or may be inherited as an autosomal dominant condition with incomplete penetrance. At least 45% of families affected with cerebral cavernous malformations harbour a mutation in Krev interaction trapped-1 (Krit1) gene (cerebral cavernous malformation gene-1, CCM1). This gene contains 16 coding exons which encode a 736-amino acid protein containing three ankyrin repeats and a FERM domain. Neither the CCM1 pathogenetic mechanisms nor the function of the Krit1 protein are understood so far, although several hypotheses have been inferred from the predicted consequences of Krit1 mutations as well as from the identification of Krit1 as a binding partner of Rap1A, ICAP1A and microtubules. Here, we report the identification of Krit1B, a novel Krit1 isoform characterized by the alternative splicing of the 15th coding exon. We show that the Krit1B splice isoform is widely expressed in mouse cell lines and tissues, whereas its expression is highly restricted in human. In addition, we developed a real-time PCR strategy to accurately quantify the relative ratio of the two Krit1 alternative transcripts in different tissues, demonstrating a Krit1B/Krit1A ratio up to 20% in mouse thymus, but significantly lower ratios in other tissues. Bioinformatic analysis using exon/gene-prediction, comparative alignment and structure analysis programs supported the existence of Krit1 alternative transcripts lacking the 15th coding exon and showed that the splicing out of this exon occurs outside of potentially important Krit1 structural domains but in a

  13. Gene structure, phylogeny and expression profile of the sucrose synthase gene family in cacao (Theobroma cacao L.).

    PubMed

    Li, Fupeng; Hao, Chaoyun; Yan, Lin; Wu, Baoduo; Qin, Xiaowei; Lai, Jianxiong; Song, Yinghui

    2015-09-01

    In higher plants, sucrose synthase (Sus, EC 2.4.1.13) is widely considered as a key enzyme involved in sucrose metabolism. Although, several paralogous genes encoding different isozymes of Sus have been identified and characterized in multiple plant genomes, to date detailed information about the Sus genes is lacking for cacao. This study reports the identification of six novel Sus genes from economically important cacao tree. Analyses of the gene structure and phylogeny of the Sus genes demonstrated evolutionary conservation in the Sus family across cacao and other plant species. The expression of cacao Sus genes was investigated via real-time PCR in various tissues, different developmental phases of leaf, flower bud and pod. The Sus genes exhibited distinct but partially redundant expression profiles in cacao, with TcSus1, TcSus5 and TcSus6, being the predominant genes in the bark with phloem, TcSus2 predominantly expressing in the seed during the stereotype stage. TcSus3 and TcSus4 were significantly detected more in the pod husk and seed coat along the pod development, and showed development dependent expression profiles in the cacao pod. These results provide new insights into the evolution, and basic information that will assist in elucidating the functions of cacao Sus gene family.

  14. Identification of ovarian cancer associated genes using an integrated approach in a Boolean framework

    PubMed Central

    2013-01-01

    Background Cancer is a complex disease where molecular mechanism remains elusive. A systems approach is needed to integrate diverse biological information for the prognosis and therapy risk assessment using mechanistic approach to understand gene interactions in pathways and networks and functional attributes to unravel the biological behaviour of tumors. Results We weighted the functional attributes based on various functional properties observed between cancerous and non-cancerous genes reported from literature. This weighing schema was then encoded in a Boolean logic framework to rank differentially expressed genes. We have identified 17 genes to be differentially expressed from a total of 11,173 genes, where ten genes are reported to be down-regulated via epigenetic inactivation and seven genes are up-regulated. Here, we report that the overexpressed genes IRAK1, CHEK1 and BUB1 may play an important role in ovarian cancer. We also show that these 17 genes can be used to form an ovarian cancer signature, to distinguish normal from ovarian cancer subjects and that the set of three genes, CHEK1, AR, and LYN, can be used to classify good and poor prognostic tumors. Conclusion We provided a workflow using a Boolean logic schema for the identification of differentially expressed genes by integrating diverse biological information. This integrated approach resulted in the identification of genes as potential biomarkers in ovarian cancer. PMID:23383610

  15. A Kalman-Filter Based Approach to Identification of Time-Varying Gene Regulatory Networks

    PubMed Central

    Xiong, Jie; Zhou, Tong

    2013-01-01

    Motivation Conventional identification methods for gene regulatory networks (GRNs) have overwhelmingly adopted static topology models, which remains unchanged over time to represent the underlying molecular interactions of a biological system. However, GRNs are dynamic in response to physiological and environmental changes. Although there is a rich literature in modeling static or temporally invariant networks, how to systematically recover these temporally changing networks remains a major and significant pressing challenge. The purpose of this study is to suggest a two-step strategy that recovers time-varying GRNs. Results It is suggested in this paper to utilize a switching auto-regressive model to describe the dynamics of time-varying GRNs, and a two-step strategy is proposed to recover the structure of time-varying GRNs. In the first step, the change points are detected by a Kalman-filter based method. The observed time series are divided into several segments using these detection results; and each time series segment belonging to two successive demarcating change points is associated with an individual static regulatory network. In the second step, conditional network structure identification methods are used to reconstruct the topology for each time interval. This two-step strategy efficiently decouples the change point detection problem and the topology inference problem. Simulation results show that the proposed strategy can detect the change points precisely and recover each individual topology structure effectively. Moreover, computation results with the developmental data of Drosophila Melanogaster show that the proposed change point detection procedure is also able to work effectively in real world applications and the change point estimation accuracy exceeds other existing approaches, which means the suggested strategy may also be helpful in solving actual GRN reconstruction problem. PMID:24116005

  16. Identification of an Efficient Gene Expression Panel for Glioblastoma Classification

    PubMed Central

    Zelaya, Ivette; Laks, Dan R.; Zhao, Yining; Kawaguchi, Riki; Gao, Fuying; Kornblum, Harley I.; Coppola, Giovanni

    2016-01-01

    We present here a novel genetic algorithm-based random forest (GARF) modeling technique that enables a reduction in the complexity of large gene disease signatures to highly accurate, greatly simplified gene panels. When applied to 803 glioblastoma multiforme samples, this method allowed the 840-gene Verhaak et al. gene panel (the standard in the field) to be reduced to a 48-gene classifier, while retaining 90.91% classification accuracy, and outperforming the best available alternative methods. Additionally, using this approach we produced a 32-gene panel which allows for better consistency between RNA-seq and microarray-based classifications, improving cross-platform classification retention from 69.67% to 86.07%. A webpage producing these classifications is available at http://simplegbm.semel.ucla.edu. PMID:27855170

  17. Parameter identification of material constants in a composite shell structure

    NASA Technical Reports Server (NTRS)

    Martinez, David R.; Carne, Thomas G.

    1988-01-01

    One of the basic requirements in engineering analysis is the development of a mathematical model describing the system. Frequently comparisons with test data are used as a measurement of the adequacy of the model. An attempt is typically made to update or improve the model to provide a test verified analysis tool. System identification provides a systematic procedure for accomplishing this task. The terms system identification, parameter estimation, and model correlation all refer to techniques that use test information to update or verify mathematical models. The goal of system identification is to improve the correlation of model predictions with measured test data, and produce accurate, predictive models. For nonmetallic structures the modeling task is often difficult due to uncertainties in the elastic constants. A finite element model of the shell was created, which included uncertain orthotropic elastic constants. A modal survey test was then performed on the shell. The resulting modal data, along with the finite element model of the shell, were used in a Bayes estimation algorithm. This permitted the use of covariance matrices to weight the confidence in the initial parameter values as well as confidence in the measured test data. The estimation procedure also employed the concept of successive linearization to obtain an approximate solution to the original nonlinear estimation problem.

  18. Compressive-Sensing-Based Structure Identification for Multilayer Networks.

    PubMed

    Mei, Guofeng; Wu, Xiaoqun; Wang, Yingfei; Hu, Mi; Lu, Jun-An; Chen, Guanrong

    2017-02-13

    The coexistence of multiple types of interactions within social, technological, and biological networks has motivated the study of the multilayer nature of real-world networks. Meanwhile, identifying network structures from dynamical observations is an essential issue pervading over the current research on complex networks. This paper addresses the problem of structure identification for multilayer networks, which is an important topic but involves a challenging inverse problem. To clearly reveal the formalism, the simplest two-layer network model is considered and a new approach to identifying the structure of one layer is proposed. Specifically, if the interested layer is sparsely connected and the node behaviors of the other layer are observable at a few time points, then a theoretical framework is established based on compressive sensing and regularization. Some numerical examples illustrate the effectiveness of the identification scheme, its requirement of a relatively small number of observations, as well as its robustness against small noise. It is noteworthy that the framework can be straightforwardly extended to multilayer networks, thus applicable to a variety of real-world complex systems.

  19. Identification of a family of muscarinic acetylcholine receptor genes

    SciTech Connect

    Bonner, T.I.; Buckley, N.J.; Young, A.C.; Brann, M.R.

    1987-07-31

    Complementary DNAs for three different muscarinic acetylcholine receptors were isolated from a rat cerebral cortex library, and the cloned receptors were expressed in mammalian cells. Analysis of human and rat genomic clones indicates that there are at least four functional muscarinic receptor genes and that these genes lack introns in the coding sequence. This gene family provides a new basis for evaluating the diversity of muscarinic mechanisms in the nervous system.

  20. Identification of Haemophilus ducreyi genes expressed during human infection.

    PubMed

    Bauer, Margaret E; Fortney, Kate R; Harrison, Alistair; Janowicz, Diane M; Munson, Robert S; Spinola, Stanley M

    2008-04-01

    To identify Haemophilus ducreyi transcripts that are expressed during human infection, we used selective capture of transcribed sequences (SCOTS) with RNA isolated from pustules obtained from three volunteers infected with H. ducreyi, and with RNA isolated from broth-grown bacteria used to infect volunteers. With SCOTS, competitive hybridization of tissue-derived and broth-derived sequences identifies genes that may be preferentially expressed in vivo. Among the three tissue specimens, we identified 531 genes expressed in vivo. Southern blot analysis of 60 genes from each tissue showed that 87 % of the identified genes hybridized better with cDNA derived from tissue specimens than with cDNA derived from broth-grown bacteria. RT-PCR on nine additional pustules confirmed in vivo expression of 10 of 11 selected genes in other volunteers. Of the 531 genes, 139 were identified in at least two volunteers. These 139 genes fell into several functional categories, including biosynthesis and metabolism, regulation, and cellular processes, such as transcription, translation, cell division, DNA replication and repair, and transport. Detection of genes involved in anaerobic and aerobic respiration indicated that H. ducreyi likely encounters both microenvironments within the pustule. Other genes detected suggest an increase in DNA damage and stress in vivo. Genes involved in virulence in other bacterial pathogens and 32 genes encoding hypothetical proteins were identified, and may represent novel virulence factors. We identified three genes, lspA1, lspA2 and tadA, known to be required for virulence in humans. This is the first study to broadly define transcripts expressed by H. ducreyi in humans.

  1. Identification of genes and proteins associated with anagen wool growth.

    PubMed

    Zhao, J; Liu, N; Liu, K; He, J; Yu, J; Bu, R; Cheng, M; De, W; Liu, J; Li, H

    2017-02-01

    Identifying genes of major effect for wool growth would offer strategies for improving the quality and increasing the yield of fine wool. In this study, we employed the Agilent Sheep Gene Expression Microarray and proteomic technology to investigate the gene expression patterns of body side skin (more wool growing) in Aohan fine wool sheep (a Chinese indigenous breed) in comparison with groin skin (no wool growing) at the anagen stage of the wool follicle. A microarray study revealed that 4772 probes were differentially expressed, including 2071 upregulated and 2701 downregulated probes, in the comparisons of body side skin vs. groin skin (S/G). The microarray results were verified by means of quantitative PCR. A total of 1099 probes were assigned to unique genes/transcripts. The number of distinct genes/transcripts (annotated) was 926, of which 352 were upregulated and 574 were downregulated. In S/G, 13 genes were upregulated by more than 10 fold, whereas 60 genes were downregulated by more than 10 fold. Further analysis revealed that the majority of the genes possibly related to the wool growth could be assigned to categories including regulation of cell division, intermediate filament, cytoskeletal part and growth factor activity. Several potential gene families may participate in hair growth regulation, including fibroblast growth factors, transforming growth factor-β, WNTs, insulin-like growth factor, vascular endothelial growth factors and so on. Proteomic analysis also revealed 196 differentially expressed protein points, of which 121 were identified as single protein points.

  2. Identification of druggable cancer driver genes amplified across TCGA datasets.

    PubMed

    Chen, Ying; McGee, Jeremy; Chen, Xianming; Doman, Thompson N; Gong, Xueqian; Zhang, Youyan; Hamm, Nicole; Ma, Xiwen; Higgs, Richard E; Bhagwat, Shripad V; Buchanan, Sean; Peng, Sheng-Bin; Staschke, Kirk A; Yadav, Vipin; Yue, Yong; Kouros-Mehr, Hosein

    2014-01-01

    The Cancer Genome Atlas (TCGA) projects have advanced our understanding of the driver mutations, genetic backgrounds, and key pathways activated across cancer types. Analysis of TCGA datasets have mostly focused on somatic mutations and translocations, with less emphasis placed on gene amplifications. Here we describe a bioinformatics screening strategy to identify putative cancer driver genes amplified across TCGA datasets. We carried out GISTIC2 analysis of TCGA datasets spanning 16 cancer subtypes and identified 486 genes that were amplified in two or more datasets. The list was narrowed to 75 cancer-associated genes with potential "druggable" properties. The majority of the genes were localized to 14 amplicons spread across the genome. To identify potential cancer driver genes, we analyzed gene copy number and mRNA expression data from individual patient samples and identified 42 putative cancer driver genes linked to diverse oncogenic processes. Oncogenic activity was further validated by siRNA/shRNA knockdown and by referencing the Project Achilles datasets. The amplified genes represented a number of gene families, including epigenetic regulators, cell cycle-associated genes, DNA damage response/repair genes, metabolic regulators, and genes linked to the Wnt, Notch, Hedgehog, JAK/STAT, NF-KB and MAPK signaling pathways. Among the 42 putative driver genes were known driver genes, such as EGFR, ERBB2 and PIK3CA. Wild-type KRAS was amplified in several cancer types, and KRAS-amplified cancer cell lines were most sensitive to KRAS shRNA, suggesting that KRAS amplification was an independent oncogenic event. A number of MAP kinase adapters were co-amplified with their receptor tyrosine kinases, such as the FGFR adapter FRS2 and the EGFR family adapters GRB2 and GRB7. The ubiquitin-like ligase DCUN1D1 and the histone methyltransferase NSD3 were also identified as novel putative cancer driver genes. We discuss the patient tailoring implications for existing cancer

  3. A hybrid method for identification of structural domains

    NASA Astrophysics Data System (ADS)

    Hua, Yongpan; Zhu, Min; Wang, Yuelong; Xie, Zhaoyang; Li, Menglong

    2014-12-01

    Structural domains in proteins are the basic units to form various proteins. In the protein's evolution and functioning, domains play important roles. But the definition of domain is not yet precisely given, and the update cycle of structural domain databases is long. The automatic algorithms identify domains slowly, while protein entities with great structural complexity are on the rise. Here, we present a method which recognizes the compact and modular segments of polypeptide chains to identify structural domains, and contrast some data sets to illuminate their effect. The method combines support vector machine (SVM) with K-means algorithm. It is faster and more stable than most current algorithms and performs better. It also indicates that when proteins are presented as some Alpha-carbon atoms in 3D space, it is feasible to identify structural domains by the spatially structural properties. We have developed a web-server, which would be helpful in identification of structural domains (http://vis.sculab.org/~huayongpan/cgi-bin/domainAssignment.cgi).

  4. A DEEP LEARNING APPROACH FOR CANCER DETECTION AND RELEVANT GENE IDENTIFICATION

    PubMed Central

    Ghaeini, Reza; Hendrix, David A.

    2016-01-01

    Cancer detection from gene expression data continues to pose a challenge due to the high dimensionality and complexity of these data. After decades of research there is still uncertainty in the clinical diagnosis of cancer and the identification of tumor-specific markers. Here we present a deep learning approach to cancer detection, and to the identification of genes critical for the diagnosis of breast cancer. First, we used Stacked Denoising Autoencoder (SDAE) to deeply extract functional features from high dimensional gene expression profiles. Next, we evaluated the performance of the extracted representation through supervised classification models to verify the usefulness of the new features in cancer detection. Lastly, we identified a set of highly interactive genes by analyzing the SDAE connectivity matrices. Our results and analysis illustrate that these highly interactive genes could be useful cancer biomarkers for the detection of breast cancer that deserve further studies. PMID:27896977

  5. Identification of novel genes involved in the plasticity of pituitary melanotropes in amphibians.

    PubMed

    Malagón, M M; Cruz-García, D; Díaz-Ruiz, A; Peinado, J R; Pulido, M R; Araújo, J; Garcia-Navarro, S; Gracia-Navarro, F; Castaño, J P; Vázquez-Martínez, R

    2009-04-01

    Melanotrope cells from the amphibian intermediate lobe are composed of two subpopulations that exhibit opposite secretory behavior: hypersecretory and hormone-storage hyposecretory melanotropes. Isolation of these subpopulations allowed a comparison of their gene expression profiles by differential display, leading to the identification of a number of genes differentially expressed in hypersecretory or hyposecretory melanotropes. Among them, we chose two (preferentially expressed in hyposecretory cells) of unknown function but structurally related to proteins involved in the secretory process: Rab18 and KIAA0555. We demonstrate that, upon activation of the regulated secretory pathway, Rab18 associates with secretory granules, inhibits their mobilization, and, consequently, reduces the secretory capacity of neuroendocrine cells. The other gene, KIAA0555, was predicted by in silico analysis to encode a protein with a long coiled-coil domain, a structural feature also shared by different proteins related to intracellular membrane traffic (i.e., golgins), and a hydrophobic C-terminal domain that could function as a transmembrane domain. A database search unveiled the existence of a KIAA0555 paralogue, KIAA4091, displaying a long coiled-coil region highly similar to that of KIAA0555 and an identical C-terminal transmembrane domain. Both KIAA0555 and KIAA4091 were found to be predominantly expressed in tissues containing cells with regulated secretory pathway, that is, endocrine and neural tissues. Moreover, when exogenously expressed in HEK293 cells, both proteins showed a yuxtanuclear distribution, which partially overlaps with that of a Golgi complex marker, thus suggesting a possible role of these two proteins in the control of the secretory process.

  6. Identification of Genetic Elements Associated with EPSPS Gene Amplification

    PubMed Central

    Gaines, Todd A.; Wright, Alice A.; Molin, William T.; Lorentz, Lothar; Riggins, Chance W.; Tranel, Patrick J.; Beffa, Roland; Westra, Philip; Powles, Stephen B.

    2013-01-01

    Weed populations can have high genetic plasticity and rapid responses to environmental selection pressures. For example, 100-fold amplification of the 5-enolpyruvylshikimate-3-phosphate synthase (EPSPS) gene evolved in the weed species Amaranthus palmeri to confer resistance to glyphosate, the world’s most important herbicide. However, the gene amplification mechanism is unknown. We sequenced the EPSPS gene and genomic regions flanking EPSPS loci in A. palmeri, and searched for mobile genetic elements or repetitive sequences. The EPSPS gene was 10,229 bp, containing 8 exons and 7 introns. The gene amplification likely proceeded through a DNA-mediated mechanism, as introns exist in the amplified gene copies and the entire amplified sequence is at least 30 kb in length. Our data support the presence of two EPSPS loci in susceptible (S) A. palmeri, and that only one of these was amplified in glyphosate-resistant (R) A. palmeri. The EPSPS gene amplification event likely occurred recently, as no sequence polymorphisms were found within introns of amplified EPSPS copies from R individuals. Sequences with homology to miniature inverted-repeat transposable elements (MITEs) were identified next to EPSPS gene copies only in R individuals. Additionally, a putative Activator (Ac) transposase and a repetitive sequence region were associated with amplified EPSPS genes. The mechanism controlling this DNA-mediated amplification remains unknown. Further investigation is necessary to determine if the gene amplification may have proceeded via DNA transposon-mediated replication, and/or unequal recombination between different genomic regions resulting in replication of the EPSPS gene. PMID:23762434

  7. Identification of genes containing expanded purine repeats in the human genome and their apparent protective role against cancer.

    PubMed

    Singh, Himanshu Narayan; Rajeswari, Moganty R

    2016-01-01

    Purine repeat sequences present in a gene are unique as they have high propensity to form unusual DNA-triple helix structures. Friedreich's ataxia is the only human disease that is well known to be associated with DNA-triplexes formed by purine repeats. The purpose of this study was to recognize the expanded purine repeats (EPRs) in human genome and find their correlation with cancer pathogenesis. We developed "PuRepeatFinder.pl" algorithm to identify non-overlapping EPRs without pyrimidine interruptions in the human genome and customized for searching repeat lengths, n ≥ 200. A total of 1158 EPRs were identified in the genome which followed Wakeby distribution. Two hundred and ninety-six EPRs were found in geneic regions of 282 genes (EPR-genes). Gene clustering of EPR-genes was done based on their cellular function and a large number of EPR-genes were found to be enzymes/enzyme modulators. Meta-analysis of 282 EPR-genes identified only 63 EPR-genes in association with cancer, mostly in breast, lung, and blood cancers. Protein-protein interaction network analysis of all 282 EPR-genes identified proteins including those in cadherins and VEGF. The two observations, that EPRs can induce mutations under malignant conditions and that identification of some EPR-gene products in vital cell signaling-mediated pathways, together suggest the crucial role of EPRs in carcinogenesis. The new link between EPR-genes and their functionally interacting proteins throws a new dimension in the present understanding of cancer pathogenesis and can help in planning therapeutic strategies. Validation of present results using techniques like NGS is required to establish the role of the EPR genes in cancer pathology.

  8. Identification of major blast resistance genes in the southern US

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Resistance (R) genes in rice play important roles in preventing infections of rice blast fungus, Magnaporthe oryzae. In order to identify more R genes for different rice growing areas in the Southern US, an extensive field survey of the blast fungus was performed from 2012 to 2013. A total of 500 is...

  9. Comprehensive identification of conditionally essential genes in mycobacteria.

    PubMed

    Sassetti, C M; Boyd, D H; Rubin, E J

    2001-10-23

    An increasing number of microbial genomes have been completely sequenced, and the identified genes are categorized based on their homology to genes of known function. However, the function of a large number of genes cannot be determined on this basis alone. Here, we describe a technique, transposon site hybridization (TraSH), which allows rapid functional characterization by identifying the complete set of genes required for growth under different conditions. TraSH combines high-density insertional mutagenesis with microarray mapping of pools of mutants. We have made large pools of independent transposon mutants in mycobacteria by using a mariner-based transposon and efficient phage transduction. By using TraSH, we have defined the set of genes required for growth of Mycobacterium bovis bacillus Calmette-Guérin on minimal but not rich medium. Genes of both known and unknown functions were identified. Of the genes with known functions, nearly all were involved in amino acid biosynthesis. TraSH is a powerful method for categorizing gene function that should be applicable to a variety of microorganisms.

  10. Identification of genes associated with low furanocoumarin content in grapefruit.

    PubMed

    Chen, Chunxian; Yu, Qibin; Wei, Xu; Cancalon, Paul F; Gmitter, Fred G

    2014-10-01

    Some furanocoumarins in grapefruit (Citrus paradisi) are associated with the so-called grapefruit juice effect. Previous phytochemical quantification and genetic analysis suggested that the synthesis of these furanocoumarins may be controlled by a single gene in the pathway. In this study, cDNA-amplified fragment length polymorphism (cDNA-AFLP) analysis of fruit tissues was performed to identify the candidate gene(s) likely associated with low furanocoumarin content in grapefruit. Fifteen tentative differentially expressed fragments were cloned through the cDNA-AFLP analysis of the grapefruit variety Foster and its spontaneous low-furanocoumarin mutant Low Acid Foster. Sequence analysis revealed a cDNA-AFLP fragment, Contig 6, was homologous to a substrate-proved psoralen synthase gene, CYP71A22, and was part of citrus unigenes Cit.3003 and Csi.1332, and predicted genes Ciclev10004717m in mandarin and orange1.1g041507m in sweet orange. The two predicted genes contained the highly conserved motifs at one of the substrate recognition sites of CYP71A22. Digital gene expression profile showed the unigenes were expressed only in fruit and seed. Quantitative real-time PCR also proved Contig 6 was down-regulated in Low Acid Foster. These results showed the differentially expressed Contig 6 was related to the reduced furanocoumarin levels in the mutant. The identified fragment, homologs, unigenes, and genes may facilitate further furanocoumarin genetic study and grapefruit variety improvement.

  11. Primary structure and regulation of vegetative specific genes of Dictyostelium discoideum.

    PubMed Central

    Singleton, C K; Manning, S S; Ken, R

    1989-01-01

    We have examined the expression and structure of several genes belonging to two classes of vegetative specific genes of the simple eukaryote, Dictyostelium discoideum. In amebae grown on bacteria, deactivation of all vegetative specific genes occurred at the onset of development and very little mRNA exists by 8 to 10 hours. In contrast, when cells were grown in axenic broth, the mRNA levels remained constant until a dramatic drop occurred around 10 to 12 hours. Thus, regulation of both classes of genes during the first several hours of development is dependent upon the prior growth conditions. Analysis of genomic clones has resulted in the identification of two V genes, V1 and V18, as ribosomal protein genes. Several other V genes were not found to be ribosomal protein genes, suggesting that in Dictyostelium non-ribosomal protein genes may be coordinately regulated with the ribosomal protein genes. Finally, using deletion analysis we show that the promoters of two of the V genes are composed of a constitutive positive element(s) located upstream of sequences involved in the regulated expression of these genes and within the first 545 upstream bp for V18 and 850 bp for V14. The regions involved in regulated expression were localized between -7 and -222 for V18 and -70 and -368 for V14. The sequences conferring protein synthesis sensitivity were shown to reside between -502 and -61 of the H4 promoter. Images PMID:2602140

  12. Identification of novel TCDD-regulated genes by microarray analysis

    SciTech Connect

    Hanlon, Paul R.; Zheng, Wenchao; Ko, Alex Y.; Jefcoate, Colin R. . E-mail: jefcoate@facstaff.wisc.edu

    2005-02-01

    TCDD exposure of multipotential C3H10T1/2 fibroblasts for 72 h altered the expression of over 1000 genes, including coordinated changes across large functionally similar gene clusters. TCDD coordinately induced 23 cell cycle-related genes similar to epidermal growth factor (EGF)-induced levels but without any affect on the major mitogenic signaling pathway (extracellular signal-regulated kinase, ERK). TCDD treatment also decreased glycolytic and ribosomal clusters. Most of these TCDD-induced changes were attenuated by the presence of EGF or an adipogenic stimulus, each added during the final 24 h. TCDD prevented 10% of EGF-induced gene responses and 40% of adipogenic responses. Over 100 other genes responded to TCDD during adipogenesis. This group of responses included complete suppression of three proliferins and stimulations of several cytokine receptors. Despite these varied secondary effects of TCDD, direct AhR activation measured by integrated AhR-responsive luciferase reporters was similar under quiescent, EGF-stimulated or adipogenic conditions. Only 23 genes were similarly induced by TCDD regardless of conditions and 10 were suppressed. These 23 genes include: 4 genes previously recognized to contain AhR response elements (cytochrome P450 (CYP) 1B1, CYP1A1, NAD(P)H quinone reductase 1 (NQO1), and aldehyde dehydrogenase 3A1); two novel oxidative genes (alcohol dehydrogenase 3 and superoxide dismutase 3); and glypican 1, a plasma membrane proteoglycan that affects cell signaling. Further experiments demonstrated that TCDD maximally induced NQO1, glypican 1 and alcohol dehydrogenase 3 by 6 h. Glypican 1 activates the actions of many growth factors and therefore may contribute to secondary effects on gene expression.

  13. [16S rRNA gene sequence analysis for bacterial identification in the clinical laboratory].

    PubMed

    Matsumoto, Takehisa; Sugano, Mitsutoshi

    2013-12-01

    The traditional identification of bacteria on the basis of phenotypic characteristics is generally not as accurate as identification based on genotypic methods. For many years, sequencing of the 16S ribosomal RNA (rRNA) gene has served as an important tool for determining phylogenetic relationships between bacteria. The features of this molecular target that make it a useful phylogenetic tool also make it useful for bacterial detection and identification in the clinical laboratory. 16S rRNA gene sequence analysis can better identify poorly described, rarely isolated, or phenotypically aberrant strains, and can lead to the recognition of novel pathogens and noncultured bacteria. In clinical microbiology, molecular identification based on 16S rDNA sequencing is applied fundamentally to bacteria whose identification by means of other types of techniques is impossible or difficult. However, there are some cases in which 16S rRNA gene sequence analysis can not differentiate closely related bacteria such as Shigella spp. and Escherichia coli at the species level. Thus, it is important to understand the advantages and disadvantages of 16S rRNA gene sequence analysis.

  14. The IL-9 receptor gene (IL9R): Genomic structure, chromosomal localization in the pseudoautosomal region of the long arm of sex chromosomes, and identification of IL9R pseudogenes at 9qter, 10pter, 16pter, 18pter

    SciTech Connect

    Kermouni, A.; Godelaine, D.; Lurquin, C.; Szikora, J.P.

    1995-09-20

    Cosmids containing the human IL-9 receptor (R) gene (IL9R) have been isolated from a genomic library using the IL9R cDNA as a probe. We have shown that the human IL9R gene is composed of 11 exons and 10 introns, stretching over {approx} 17 kb, and is located within the pseudoautosomal region of the Xq and Yq chromosome, in the vicinity of the telomere. Analysis of the 5` flanking region revealed multiple transcription initiation sites as well as potential binding motifs for AP1, AP2, AP3, Sp1, and NF-kB, although this region lacks a TATA box. Using the human IL9R cosmid as a probe to perform fluorescence in situ hybridization, additional signals were identified in the subtelomeric regions of chromosomes 9q, 10p, 16p, and 18p. IL9R homologs located on chromosomes 9 and 18 were partially characterized, while those located on chromosomes 16 and 10 were completely sequenced. Although they are similiar to the IL9R gene ({approx} 90% identity), none of these copies encodes a functional receptor: none of them contains sequences homologous to the 5` flanking region or exon 1 of the IL9R gene, and the remaining ORFs have been inactivated by various point mutations and deletions. Taken together, our results indicate that the IL9R gene is located at Xq28 and Yq12, in the long arm pseudoautosomal region, and that four IL9R pseudogenes are located on 9q34, 10p15, 16p13.3 and 18p11.3, probably dispersed as the result of translocations during evolution. 42 refs., 6 figs., 3 tabs.

  15. Identification of driving network of cellular differentiation from single sample time course gene expression data

    NASA Astrophysics Data System (ADS)

    Chen, Ye; Wolanyk, Nathaniel; Ilker, Tunc; Gao, Shouguo; Wang, Xujing

    Methods developed based on bifurcation theory have demonstrated their potential in driving network identification for complex human diseases, including the work by Chen, et al. Recently bifurcation theory has been successfully applied to model cellular differentiation. However, there one often faces a technical challenge in driving network prediction: time course cellular differentiation study often only contains one sample at each time point, while driving network prediction typically require multiple samples at each time point to infer the variation and interaction structures of candidate genes for the driving network. In this study, we investigate several methods to identify both the critical time point and the driving network through examination of how each time point affects the autocorrelation and phase locking. We apply these methods to a high-throughput sequencing (RNA-Seq) dataset of 42 subsets of thymocytes and mature peripheral T cells at multiple time points during their differentiation (GSE48138 from GEO). We compare the predicted driving genes with known transcription regulators of cellular differentiation. We will discuss the advantages and limitations of our proposed methods, as well as potential further improvements of our methods.

  16. Structure identification in fuzzy inference using reinforcement learning

    NASA Technical Reports Server (NTRS)

    Berenji, Hamid R.; Khedkar, Pratap

    1993-01-01

    In our previous work on the GARIC architecture, we have shown that the system can start with surface structure of the knowledge base (i.e., the linguistic expression of the rules) and learn the deep structure (i.e., the fuzzy membership functions of the labels used in the rules) by using reinforcement learning. Assuming the surface structure, GARIC refines the fuzzy membership functions used in the consequents of the rules using a gradient descent procedure. This hybrid fuzzy logic and reinforcement learning approach can learn to balance a cart-pole system and to backup a truck to its docking location after a few trials. In this paper, we discuss how to do structure identification using reinforcement learning in fuzzy inference systems. This involves identifying both surface as well as deep structure of the knowledge base. The term set of fuzzy linguistic labels used in describing the values of each control variable must be derived. In this process, splitting a label refers to creating new labels which are more granular than the original label and merging two labels creates a more general label. Splitting and merging of labels directly transform the structure of the action selection network used in GARIC by increasing or decreasing the number of hidden layer nodes.

  17. Seismic damage identification for steel structures using distributed fiber optics.

    PubMed

    Hou, Shuang; Cai, C S; Ou, Jinping

    2009-08-01

    A distributed fiber optic monitoring methodology based on optic time domain reflectometry technology is developed for seismic damage identification of steel structures. Epoxy with a strength closely associated to a specified structure damage state is used for bonding zigzagged configured optic fibers on the surfaces of the structure. Sensing the local deformation of the structure, the epoxy modulates the signal change within the optic fiber in response to the damage state of the structure. A monotonic loading test is conducted on a steel specimen installed with the proposed sensing system using selected epoxy that will crack at the designated strain level, which indicates the damage of the steel structure. Then, using the selected epoxy, a varying degree of cyclic loading amplitudes, which is associated with different damage states, is applied on a second specimen. The test results show that the specimen's damage can be identified by the optic sensors, and its maximum local deformation can be recorded by the sensing system; moreover, the damage evolution can also be identified.

  18. Identification of Single- and Multiple-Class Specific Signature Genes from Gene Expression Profiles by Group Marker Index

    PubMed Central

    Tsai, Yu-Shuen; Aguan, Kripamoy; Pal, Nikhil R.; Chung, I-Fang

    2011-01-01

    Informative genes from microarray data can be used to construct prediction model and investigate biological mechanisms. Differentially expressed genes, the main targets of most gene selection methods, can be classified as single- and multiple-class specific signature genes. Here, we present a novel gene selection algorithm based on a Group Marker Index (GMI), which is intuitive, of low-computational complexity, and efficient in identification of both types of genes. Most gene selection methods identify only single-class specific signature genes and cannot identify multiple-class specific signature genes easily. Our algorithm can detect de novo certain conditions of multiple-class specificity of a gene and makes use of a novel non-parametric indicator to assess the discrimination ability between classes. Our method is effective even when the sample size is small as well as when the class sizes are significantly different. To compare the effectiveness and robustness we formulate an intuitive template-based method and use four well-known datasets. We demonstrate that our algorithm outperforms the template-based method in difficult cases with unbalanced distribution. Moreover, the multiple-class specific genes are good biomarkers and play important roles in biological pathways. Our literature survey supports that the proposed method identifies unique multiple-class specific marker genes (not reported earlier to be related to cancer) in the Central Nervous System data. It also discovers unique biomarkers indicating the intrinsic difference between subtypes of lung cancer. We also associate the pathway information with the multiple-class specific signature genes and cross-reference to published studies. We find that the identified genes participate in the pathways directly involved in cancer development in leukemia data. Our method gives a promising way to find genes that can involve in pathways of multiple diseases and hence opens up the possibility of using an existing

  19. Genome-Wide Identification of KANADI1 Target Genes

    PubMed Central

    Ott, Felix; Weigel, Detlef; Bowman, John L.; Heisler, Marcus G.; Wenkel, Stephan

    2013-01-01

    Plant organ development and polarity establishment is mediated by the action of several transcription factors. Among these, the KANADI (KAN) subclade of the GARP protein family plays important roles in polarity-associated processes during embryo, shoot and root patterning. In this study, we have identified a set of potential direct target genes of KAN1 through a combination of chromatin immunoprecipitation/DNA sequencing (ChIP-Seq) and genome-wide transcriptional profiling using tiling arrays. Target genes are over-represented for genes involved in the regulation of organ development as well as in the response to auxin. KAN1 affects directly the expression of several genes previously shown to be important in the establishment of polarity during lateral organ and vascular tissue development. We also show that KAN1 controls through its target genes auxin effects on organ development at different levels: transport and its regulation, and signaling. In addition, KAN1 regulates genes involved in the response to abscisic acid, jasmonic acid, brassinosteroids, ethylene, cytokinins and gibberellins. The role of KAN1 in organ polarity is antagonized by HD-ZIPIII transcription factors, including REVOLUTA (REV). A comparison of their target genes reveals that the REV/KAN1 module acts in organ patterning through opposite regulation of shared targets. Evidence of mutual repression between closely related family members is also shown. PMID:24155946

  20. Identification and Characterization of Renal Cell Carcinoma Gene Markers

    PubMed Central

    Dalgin, Gul S.; Holloway, Dustin T.; Liou, Louis S.; DeLisi, Charles

    2007-01-01

    Microarray gene expression profiling has been used to distinguish histological subtypes of renal cell carcinoma (RCC), and consequently to identify specific tumor markers. The analytical procedures currently in use find sets of genes whose average differential expression across the two categories differ significantly. In general each of the markers thus identified does not distinguish tumor from normal with 100% accuracy, although the group as a whole might be able to do so. For the purpose of developing a widely used economically viable diagnostic signature, however, large groups of genes are not likely to be useful. Here we use two different methods, one a support vector machine variant, and the other an exhaustive search, to reanalyze data previously generated in our Lab (Lenburg et al. 2003). We identify 158 genes, each having an expression level that is higher (lower) in every tumor sample than in any normal sample, and each having a minimum differential expression across the two categories at a significance of 0.01. The set is highly enriched in cancer related genes (p = 1.6 × 10−12), containing 43 genes previously associated with either RCC or other types of cancer. Many of the biomarkers appear to be associated with the central alterations known to be required for cancer transformation. These include the oncogenes JAZF1, AXL, ABL2; tumor suppressors RASD1, PTPRO, TFAP2A, CDKN1C; and genes involved in proteolysis or cell-adhesion such as WASF2, and PAPPA. PMID:19455236

  1. Resistance gene identification from Larimichthys crocea with machine learning techniques

    PubMed Central

    Cai, Yinyin; Liao, Zhijun; Ju, Ying; Liu, Juan; Mao, Yong; Liu, Xiangrong

    2016-01-01

    The research on resistance genes (R-gene) plays a vital role in bioinformatics as it has the capability of coping with adverse changes in the external environment, which can form the corresponding resistance protein by transcription and translation. It is meaningful to identify and predict R-gene of Larimichthys crocea (L.Crocea). It is friendly for breeding and the marine environment as well. Large amounts of L.Crocea’s immune mechanisms have been explored by biological methods. However, much about them is still unclear. In order to break the limited understanding of the L.Crocea’s immune mechanisms and to detect new R-gene and R-gene-like genes, this paper came up with a more useful combination prediction method, which is to extract and classify the feature of available genomic data by machine learning. The effectiveness of feature extraction and classification methods to identify potential novel R-gene was evaluated, and different statistical analyzes were utilized to explore the reliability of prediction method, which can help us further understand the immune mechanisms of L.Crocea against pathogens. In this paper, a webserver called LCRG-Pred is available at http://server.malab.cn/rg_lc/. PMID:27922074

  2. Global Identification of Genes Specific for Rice Meiosis.

    PubMed

    Zhang, Bingwei; Xu, Meng; Bian, Shiquan; Hou, Lili; Tang, Ding; Li, Yafei; Gu, Minghong; Cheng, Zhukuan; Yu, Hengxiu

    2015-01-01

    The leptotene-zygotene transition is a major step in meiotic progression during which pairing between homologous chromosomes is initiated and double strand breaks occur. OsAM1, a homologue of maize AM1 and Arabidopsis SWI1, encodes a protein with a coiled-coil domain in its central region that is required for the leptotene-zygotene transition during rice meiosis. To gain more insight into the role of OsAM1 in rice meiosis and identify additional meiosis-specific genes, we characterized the transcriptomes of young panicles of Osam1 mutant and wild-type rice plants using RNA-Seq combined with bioinformatic and statistical analyses. As a result, a total of 25,750 and 28,455 genes were expressed in young panicles of wild-type and Osam1 mutant plants, respectively, and 4,400 differentially expressed genes (DEGs; log2 Ratio ≥ 1, FDR ≤ 0.05) were identified. Of these DEGs, four known rice meiosis-specific genes were detected, and 22 new putative meiosis-related genes were found by mapping these DEGs to reference biological pathways in the KEGG database. We identified eight additional well-conserved OsAM1-responsive rice meiotic genes by comparing our RNA-Seq data with known meiotic genes in Arabidopsis and fission yeast.

  3. Resistance gene identification from Larimichthys crocea with machine learning techniques

    NASA Astrophysics Data System (ADS)

    Cai, Yinyin; Liao, Zhijun; Ju, Ying; Liu, Juan; Mao, Yong; Liu, Xiangrong

    2016-12-01

    The research on resistance genes (R-gene) plays a vital role in bioinformatics as it has the capability of coping with adverse changes in the external environment, which can form the corresponding resistance protein by transcription and translation. It is meaningful to identify and predict R-gene of Larimichthys crocea (L.Crocea). It is friendly for breeding and the marine environment as well. Large amounts of L.Crocea’s immune mechanisms have been explored by biological methods. However, much about them is still unclear. In order to break the limited understanding of the L.Crocea’s immune mechanisms and to detect new R-gene and R-gene-like genes, this paper came up with a more useful combination prediction method, which is to extract and classify the feature of available genomic data by machine learning. The effectiveness of feature extraction and classification methods to identify potential novel R-gene was evaluated, and different statistical analyzes were utilized to explore the reliability of prediction method, which can help us further understand the immune mechanisms of L.Crocea against pathogens. In this paper, a webserver called LCRG-Pred is available at http://server.malab.cn/rg_lc/.

  4. Identification of key target genes and pathways in laryngeal carcinoma

    PubMed Central

    Liu, Feng; Du, Jintao; Liu, Jun; Wen, Bei

    2016-01-01

    The purpose of the present study was to screen the key genes associated with laryngeal carcinoma and to investigate the molecular mechanism of laryngeal carcinoma progression. The gene expression profile of GSE10935 [Gene Expression Omnibus (GEO) accession number], including 12 specimens from laryngeal papillomas and 12 specimens from normal laryngeal epithelia controls, was downloaded from the GEO database. Differentially expressed genes (DEGs) were screened in laryngeal papillomas compared with normal controls using Limma package in R language, followed by Gene Ontology (GO) enrichment analysis and pathway enrichment analysis. Furthermore, the protein-protein interaction (PPI) network of DEGs was constructed using Cytoscape software and modules were analyzed using MCODE plugin from the PPI network. Furthermore, significant biological pathway regions (sub-pathway) were identified by using iSubpathwayMiner analysis. A total of 67 DEGs were identified, including 27 up-regulated genes and 40 down-regulated genes and they were involved in different GO terms and pathways. PPI network analysis revealed that Ras association (RalGDS/AF-6) domain family member 1 (RASSF1) was a hub protein. The sub-pathway analysis identified 9 significantly enriched sub-pathways, including glycolysis/gluconeogenesis and nitrogen metabolism. Genes such as phosphoglycerate kinase 1 (PGK1), carbonic anhydrase II (CA2), and carbonic anhydrase XII (CA12) whose node degrees were >10 were identified in the disease risk sub-pathway. Genes in the sub-pathway, such as RASSF1, PGK1, CA2 and CA12 were presumed to serve critical roles in laryngeal carcinoma. The present study identified DEGs and their sub-pathways in the disease, which may serve as potential targets for treatment of laryngeal carcinoma. PMID:27446427

  5. Identification of β-haemolysin-encoding genes in Streptococcus anginosus.

    PubMed

    Asam, D; Mauerer, S; Walheim, E; Spellerberg, B

    2013-08-01

    Streptococcus anginosus is an emerging pathogen, but little is known about its virulence factors. To detect the genes responsible for β-haemolysis we performed genomic mutagenesis of the β-haemolytic S. anginosus type strain ATCC 12395 using the vector pGhost9:ISS1. Integration site analysis of 15 non-haemolytic mutants identified a gene cluster with high homology to the genes of the streptolysin S (SLS) encoding sag gene cluster of S. pyogenes. The gene cluster harbours 10 open reading frames displaying significant similarities to the S. pyogenes genes sagA-sagI, with the identities on protein level ranging from 38 to 87%. Complementation assays of S. anginosus sagB and sagD integration mutants with the respective genes confirmed their importance for β-haemolysin production and suggest the presence of post-translational modifications in S. anginosus SLS similar to SLS of S. pyogenes. Characterization of the S. anginosus haemolysin in comparison to the S. pyogenes SLS showed that the haemolysin is surface bound, but in contrast to S. pyogenes neither fetal calf serum nor RNA was able to stabilize the haemolysin of S. anginosus in culture supernatants. Inhibition of β-haemolysis by polyethylene glycol of different sizes was carried out, giving no evidence of a pore-forming haemolytic mechanism. Analysis of a whole genome shotgun sequence of Streptococcus constellatus, a closely related streptococcal species that belongs to the S. anginosus group, revealed a similar sag gene cluster. Employing a genomic mutagenesis strategy we were able to determine an SLS encoding gene cluster in S. anginosus and demonstrate its importance for β-haemolysin production in S. anginosus.

  6. Identification of the two rotavirus genes determining neutralization specificities

    SciTech Connect

    Offit, P.A.; Blavat, G.

    1986-01-01

    Bovine rotavirus NCDV and simian rotavirus SA-11 represent two distinct rotavirus serotypes. A genetic approach was used to determine which viral gene segments segregated with serotype-specific viral neutralization. There were 16 reassortant rotarviruses derived by coinfection of MA-104 cells in vitro with the SA-11 and NCDV strains. The parental origin of reassortant rotavirus double-stranded RNA segments was determined by gene segment mobility in polyacrylamide gels and by hybridization with radioactively labeled parental viral transcripts. The authors found that two rotavirus gene segments found previously to code for outer capsid proteins vp3 and vp7 cosegreated with virus neutralization specificities.

  7. Identification and use of genes encoding amatoxin and phallotoxin

    SciTech Connect

    Hallen, Heather E.; Walton, Jonathan D.; Luo, Hong; Scott-Craig, John S.

    2016-12-13

    The present invention relates to compositions and methods comprising genes and peptides associated with cyclic peptide toxins and toxin production in mushrooms. In particular, the present invention relates to using genes and proteins from Amanita species encoding Amanita peptides, specifically relating to amatoxins and phallotoxins. In a preferred embodiment, the present invention also relates to methods for detecting Amanita peptide toxin genes for identifying Amanita peptide-producing mushrooms and for diagnosing suspected cases of mushroom poisoning. Further, the present inventions relate to providing kits for diagnosing and monitoring suspected cases of mushroom poisoning in patients.

  8. Identification and Evaluation of Reference Genes for Quantitative Analysis of Brazilian Pine (Araucaria angustifolia Bertol. Kuntze) Gene Expression.

    PubMed

    Elbl, Paula; Navarro, Bruno V; de Oliveira, Leandro F; Almeida, Juliana; Mosini, Amanda C; Dos Santos, André L W; Rossi, Magdalena; Floh, Eny I S

    2015-01-01

    Quantitative analysis of gene expression is a fundamental experimental approach in many fields of plant biology, but it requires the use of internal controls representing constitutively expressed genes for reliable transcript quantification. In this study, we identified fifteen putative reference genes from an A. angustifolia transcriptome database. Variation in transcript levels was first evaluated in silico by comparing read counts and then by quantitative real-time PCR (qRT-PCR), resulting in the identification of six candidate genes. The consistency of transcript abundance was also calculated applying geNorm and NormFinder software packages followed by a validation approach using four target genes. The results presented here indicate that a diverse set of samples should ideally be used in order to identify constitutively expressed genes, and that the use of any two reference genes in combination, of the six tested genes, is sufficient for effective expression normalization. Finally, in agreement with the in silico prediction, a comprehensive analysis of the qRT-PCR data combined with validation analysis revealed that AaEIF4B-L and AaPP2A are the most suitable reference genes for comparative studies of A. angustifolia gene expression.

  9. Identification of the Gene for Scleroderma in the Tsk/2 Mouse Strain: Implications for Human Scleroderma Pathogenesis and Subset Distinctions

    DTIC Science & Technology

    2013-07-01

    AD_________________ Award Number: W81XWH-11-1-0525 TITLE: Identification of the Gene for...TYPE Annual 3. DATES COVERED 1 July 2012 – 30 June 2013 4. TITLE AND SUBTITLE 5a. CONTRACT NUMBER Identification of the Gene for Scleroderma...time dependence on the gene expression in the skin of the Tsk2/+ mice. We have proven that Col3a1 is the gene that causes Tsk2/+ fibrosis, and have

  10. Identification of possible structural error in hydrological models

    NASA Astrophysics Data System (ADS)

    Singh, S. K.; Bárdossy, A.; McMillan, H.

    2012-04-01

    Hydrological Models are simplifications and theoretical approximations of complex natural phenomena. Hence, they cannot predict perfectly what happen in natural systems. There are several reasons; some of the main reasons are error in the input data, imperfect model structure, insufficient information for parameter identification etc. The identification of structural error in a complex model is very difficult task. This is especially difficult as the final differences between observation and model results are a combined consequence of the above reasons. In this study we aimed to develop a tool to identify possible model structural error in hydrological model by using the concept of the data depth function. The model was calibrated using the ROPE (Bárdossy and Singh 2008) algorithm and the optimal parameter space was obtained. From N optimal parameter sets N discharge series were obtained and boundary of the convex hull from d-dimensional dataset corresponding N discharge series (DB) is taken for further analysis. A d-dimensional dataset corresponding to the observed discharge (DX) is taken and depth of the each elements of observed discharge is calculated with respect to the boundary of the convex hull from N model discharge series. If there are elements in DX whose depths are zero with respect to the convex hull (DB), then those corresponding to d-days trajectories of the observation for which there is no similarity in any of the model parameterization. These elements can give possible indication for model structure errors. The methodology was demonstrated on two models HYMOD and TopNet in Pelorous catchment of New Zealand. Bárdossy, A. and S. K. Singh (2008). "Robust estimation of hydrological model parameters." Hydrology and Earth System Sciences 12: 1273-1283.

  11. Detection of bacterial 16S ribosomal RNA genes for forensic identification of vaginal fluid.

    PubMed

    Akutsu, Tomoko; Motani, Hisako; Watanabe, Ken; Iwase, Hirotaro; Sakurada, Koichi

    2012-05-01

    To preliminarily evaluate the applicability of bacterial DNA as a marker for the forensic identification of vaginal fluid, we developed and performed PCR-based detection of 16S ribosomal RNA genes of Lactobacillus spp. dominating the vagina and of bacterial vaginosis-related bacteria from DNA extracted from body fluids and stains. As a result, 16S ribosomal RNA genes of Lactobacillus crispatus, Lactobacillus jensenii and Atopobium vaginae were specifically detected in vaginal fluid and female urine samples. Bacterial genes detected in female urine might have originated from contaminated vaginal fluid. In addition, those of Lactobacillus iners, Lactobacillus gasseri and Gardnerella vaginalis were also detected in non-vaginal body fluids such as semen. Because bacterial genes were successfully amplified in DNA samples extracted by using the general procedure for animal tissues without any optional treatments, DNA samples prepared for the identification of vaginal fluid can also be used for personal identification. In conclusion, 16S ribosomal RNA genes of L. crispatus, L. jensenii and A. vaginae could be effective markers for forensic identification of vaginal fluid.

  12. The fur Gene as a New Phylogenetic Marker for Vibrionaceae Species Identification

    PubMed Central

    Gram, Lone

    2015-01-01

    Microbial taxonomy is essential in all areas of microbial science. The 16S rRNA gene sequence is one of the main phylogenetic species markers; however, it does not provide discrimination in the family Vibrionaceae, where other molecular techniques allow better interspecies resolution. Although multilocus sequence analysis (MLSA) has been used successfully in the identification of Vibrio species, the technique has several limitations. They include the fact that several locus amplifications and sequencing have to be performed, which still sometimes lead to doubtful identifications. Using an in silico approach based on genomes from 103 Vibrionaceae strains, we demonstrate here the high resolution of the fur gene in the identification of Vibrionaceae species and its usefulness as a phylogenetic marker. The fur gene showed within-species similarity higher than 95%, and the relationships inferred from its use were in agreement with those observed for 16S rRNA analysis and MLSA. Furthermore, we developed a fur PCR sequencing-based method that allowed identification of Vibrio species. The discovery of the phylogenetic power of the fur gene and the development of a PCR method that can be used in amplification and sequencing of the gene are of general interest whether for use alone or together with the previously suggested loci in an MLSA. PMID:25662978

  13. Genome-Wide Identification, Phylogenetic and Co-Expression Analysis of OsSET Gene Family in Rice

    PubMed Central

    Lu, Zhanhua; Huang, Xiaolong; Ouyang, Yidan; Yao, Jialing

    2013-01-01

    Background SET domain is responsible for the catalytic activity of histone lysine methyltransferases (HKMTs) during developmental process. Histone lysine methylation plays a crucial and diverse regulatory function in chromatin organization and genome function. Although several SET genes have been identified and characterized in plants, the understanding of OsSET gene family in rice is still very limited. Methodology/Principal Findings In this study, a systematic analysis was performed and revealed the presence of at least 43 SET genes in rice genome. Phylogenetic and structural analysis grouped SET proteins into five classes, and supposed that the domains out of SET domain were significant for the specific of histone lysine methylation, as well as the recognition of methylated histone lysine. Based on the global microarray, gene expression profile revealed that the transcripts of OsSET genes were accumulated differentially during vegetative and reproductive developmental stages and preferentially up or down-regulated in different tissues. Cis-elements identification, co-expression analysis and GO analysis of expression correlation of 12 OsSET genes suggested that OsSET genes might be involved in cell cycle regulation and feedback. Conclusions/Significance This study will facilitate further studies on OsSET family and provide useful clues for functional validation of OsSETs. PMID:23762371

  14. Identification of novel androgen receptor target genes in prostate cancer

    PubMed Central

    Jariwala, Unnati; Prescott, Jennifer; Jia, Li; Barski, Artem; Pregizer, Steve; Cogan, Jon P; Arasheben, Armin; Tilley, Wayne D; Scher, Howard I; Gerald, William L; Buchanan, Grant; Coetzee, Gerhard A; Frenkel, Baruch

    2007-01-01

    Background The androgen receptor (AR) plays critical roles in both androgen-dependent and castrate-resistant prostate cancer (PCa). However, little is known about AR target genes that mediate the receptor's roles in disease progression. Results Using Chromatin Immunoprecipitation (ChIP) Display, we discovered 19 novel loci occupied by the AR in castrate resistant C4-2B PCa cells. Only four of the 19 AR-occupied regions were within 10-kb 5'-flanking regulatory sequences. Three were located up to 4-kb 3' of the nearest gene, eight were intragenic and four were in gene deserts. Whereas the AR occupied the same loci in C4-2B (castrate resistant) and LNCaP (androgen-dependent) PCa cells, differences between the two cell lines were observed in the response of nearby genes to androgens. Among the genes strongly stimulated by DHT in C4-2B cells – D-dopachrome tautomerase (DDT), Protein kinase C delta (PRKCD), Glutathione S- transferase theta 2 (GSTT2), Transient receptor potential cation channel subfamily V member 3 (TRPV3), and Pyrroline-5-carboxylate reductase 1 (PYCR1) – most were less strongly or hardly stimulated in LNCaP cells. Another AR target gene, ornithine aminotransferase (OAT), was AR-stimulated in a ligand-independent manner, since it was repressed by AR siRNA knockdown, but not stimulated by DHT. We also present evidence for in vivo AR-mediated regulation of several genes identified by ChIP Display. For example, PRKCD and PYCR1, which may contribute to PCa cell growth and survival, are expressed in PCa biopsies from primary tumors before and after ablation and in metastatic lesions in a manner consistent with AR-mediated stimulation. Conclusion AR genomic occupancy is similar between LNCaP and C4-2B cells and is not biased towards 5' gene flanking sequences. The AR transcriptionally regulates less than half the genes nearby AR-occupied regions, usually but not always, in a ligand-dependent manner. Most are stimulated and a few are repressed. In general

  15. Identification of genes from the Treacher Collins candidate region

    SciTech Connect

    Dixon, M.; Dixon, J.; Edwards, S. |

    1994-09-01

    Treacher Collins syndrome (TCOF1) is an autosomal dominant disorder of craniofacial development. The TCOF1 locus has previously been mapped to chromosome 5q32-33. The candidate gene region has been defined as being between two flanking markers, ribosomal protein S14 (RPS14) and Annexin 6 (ANX6), by analyzing recombination events in affected individuals. It is estimated that the distance between these flanking markers is 500 kb by three separate analysis methods: (1) radiation hybrid mapping; (2) genetic linkage; and (3) YAC contig analysis. A cosmid contig which spans the candidate gene region for TCOF1 has been constructed by screening the Los Alamos National Laboratory flow-sorted chromosome 5 cosmid library. Cosmids were obtained by using a combination of probes generated from YAC end clones, Alu-PCR fragments from YACs, and asymmetric PCR fragments from both T7 and T3 cosmid ends. Exon amplifications, the selection of genomic coding sequences based upon the presence of functional splice acceptor and donor sites, was used to identify potential exon sequences. Sequences found to be conserved between species were then used to screen cDNA libraries in order to identify candidate genes. To date, four different cDNAs have been isolated from this region and are being analyzed as potential candidate genes for TCOF1. These include the genes encoding plasma glutathione peroxidase (GPX3), heparin sulfate sulfotransferase (HSST), a gene with homology to the ETS family of proteins and one which shows no homology to any known genes. Work is also in progress to identify and characterize additional cDNAs from the candidate gene region.

  16. Application of Euclidean distance measurement and principal component analysis for gene identification.

    PubMed

    Ghosh, Antara; Barman, Soma

    2016-06-01

    Gene systems are extremely complex, heterogeneous, and noisy in nature. Many statistical tools which are used to extract relevant feature from genes provide fuzzy and ambiguous information. High-dimensional gene expression database available in public domain usually contains thousands of genes. Efficient prediction method is demanding nowadays for accurate identification of such database. Euclidean distance measurement and principal component analysis methods are applied on such databases to identify the genes. In both methods, prediction algorithm is based on homology search approach. Digital Signal Processing technique along with statistical method is used for analysis of genes in both cases. A two-level decision logic is used for gene classification as healthy or cancerous. This binary logic minimizes the prediction error and improves prediction accuracy. Superiority of the method is judged by receiver operating characteristic curve.

  17. Identification of candidate genes for phenolics accumulation in tomato fruit.

    PubMed

    Di Matteo, Antonio; Ruggieri, Valentino; Sacco, Adriana; Rigano, Maria Manuela; Carriero, Filomena; Bolger, Anthony; Fernie, Alisdair R; Frusciante, Luigi; Barone, Amalia

    2013-05-01

    Phenolics are antioxidants present in tomato fruit that confer healthy benefits and exhibit crucial roles for plant metabolism and response to environmental stimuli. An approach based on two genomics platforms was undertaken to identify candidate genes associated to higher phenolics content in tomato fruit. A comparative transcriptomic analysis between the S. pennellii Introgression Line 7-3, which produced an average higher level of fruit phenolics, and the cultivated variety M82, revealed that their differences are attributed to genes involved in phenolics accumulation into the vacuole. The up-regulation of genes coding for one MATE-transporter, one vacuolar sorting protein and three GSTs supported this hypothesis. The observed balancing effect between two ethylene responsive factors (ERF1 and ERF4) was also hypothesized to drive the transcriptional regulation of these transport genes. In order to confirm such model a TILLING platform was explored. A mutant was isolated harbouring a point mutation in the ERF1 cds that affects the protein sequence and its expected function. Fruits of the mutant exhibited a significant reduced level of phenolics than the control variety. Changes in the expression of genes involved in sequestration of phenolics in vacuole also supported the hypothesized key-role of ERF1 in orchestrating these genes.

  18. A Genomic Signature and the Identification of New Sporulation Genes

    PubMed Central

    Abecasis, Ana B.; Serrano, Mónica; Alves, Renato; Quintais, Leonor

    2013-01-01

    Bacterial endospores are the most resistant cell type known to humans, as they are able to withstand extremes of temperature, pressure, chemical injury, and time. They are also of interest because the endospore is the infective particle in a variety of human and livestock diseases. Endosporulation is characterized by the morphogenesis of an endospore within a mother cell. Based on the genes known to be involved in endosporulation in the model organism Bacillus subtilis, a conserved core of about 100 genes was derived, representing the minimal machinery for endosporulation. The core was used to define a genomic signature of about 50 genes that are able to distinguish endospore-forming organisms, based on complete genome sequences, and we show this 50-gene signature is robust against phylogenetic proximity and other artifacts. This signature includes previously uncharacterized genes that we can now show are important for sporulation in B. subtilis and/or are under developmental control, thus further validating this genomic signature. We also predict that a series of polyextremophylic organisms, as well as several gut bacteria, are able to form endospores, and we identified 3 new loci essential for sporulation in B. subtilis: ytaF, ylmC, and ylzA. In all, the results support the view that endosporulation likely evolved once, at the base of the Firmicutes phylum, and is unrelated to other bacterial cell differentiation programs and that this involved the evolution of new genes and functions, as well as the cooption of ancestral, housekeeping functions. PMID:23396918

  19. Identification of genes associated with chlorophyll accumulation in flower petals.

    PubMed

    Ohmiya, Akemi; Hirashima, Masumi; Yagi, Masafumi; Tanase, Koji; Yamamizo, Chihiro

    2014-01-01

    Plants have an ability to prevent chlorophyll accumulation, which would mask the bright flower color, in their petals. In contrast, leaves contain substantial amounts of chlorophyll, as it is essential for photosynthesis. The mechanisms of organ-specific chlorophyll accumulation are unknown. To identify factors that determine the chlorophyll content in petals, we compared the expression of genes related to chlorophyll metabolism in different stages of non-green (red and white) petals (very low chlorophyll content), pale-green petals (low chlorophyll content), and leaves (high chlorophyll content) of carnation (Dianthus caryophyllus L.). The expression of many genes encoding chlorophyll biosynthesis enzymes, in particular Mg-chelatase, was lower in non-green petals than in leaves. Non-green petals also showed higher expression of genes involved in chlorophyll degradation, including STAY-GREEN gene and pheophytinase. These data suggest that the absence of chlorophylls in carnation petals may be caused by the low rate of chlorophyll biosynthesis and high rate of degradation. Similar results were obtained by the analysis of Arabidopsis microarray data. In carnation, most genes related to chlorophyll biosynthesis were expressed at similar levels in pale-green petals and leaves, whereas the expression of chlorophyll catabolic genes was higher in pale-green petals than in leaves. Therefore, we hypothesize that the difference in chlorophyll content between non-green and pale-green petals is due to different levels of chlorophyll biosynthesis. Our study provides a basis for future molecular and genetic studies on organ-specific chlorophyll accumulation.

  20. Identification and characterization of a Dictyostelium discoideum ribosomal protein gene.

    PubMed Central

    Szymkowski, D E; Deering, R A

    1990-01-01

    We have identified a developmentally repressed large-subunit ribosomal protein gene of Dictyostelium discoideum based on sequence similarity to other ribosomal proteins. Protein rpl7 is homologous to large subunit ribosomal proteins from the rat and possibly to Mycoplasma capricolum and Escherichia coli, but is not similar to three sequenced ribosomal proteins in Dictyostelium. The rpl7 gene is present at one copy per genome, as are six other cloned Dictyostelium ribosomal proteins. Restriction fragment length polymorphisms exist for ribosomal protein genes rpl7, rp1024, and rp110 in strain HU182; most Dictyostelium ribosomal protein genes examined are linked no closer than 30-100 kb to each other in the genome. Dictyostelium ribosomal proteins are known to be developmentally regulated, and levels of rpl7 transcript gradually decrease during the 24-hour development cycle. This drop correlates with that of rp1024, indicating these and other ribosomal protein genes may be coordinately regulated. To determine the cellular location of the protein, we raised antibodies to an rpl7-derived branched synthetic peptide. These antibodies cross-reacted with one protein of the expected size in a ribosomal protein fraction of Dictyostelium, indicating that the product of gene rpl7 is localized in the ribosome. Images PMID:1975664

  1. Identification of two distinct Bacillus subtilis citrate synthase genes.

    PubMed

    Jin, S; Sonenshein, A L

    1994-08-01

    Two distinct Bacillus subtilis genes (citA and citZ) were found to encode citrate synthase isozymes that catalyze the first step of the Krebs cycle. The citA gene was cloned by genetic complementation of an Escherichia coli citrate synthase mutant strain (W620) and was in a monocistronic transcriptional unit. A divergently transcribed gene, citR, could encode a protein with strong similarity to the bacterial LysR family of regulatory proteins. A null mutation in citA had little effect on citrate synthase enzyme activity or sporulation. The residual citrate synthase activity was purified from a citA null mutant strain, and the partial amino acid sequence for the purified protein (CitZ) was determined. The citZ gene was cloned from B. subtilis chromosomal DNA by using a PCR-generated probe synthesized with oligonucleotide primers derived from the partial amino acid sequence of purified CitZ. The citZ gene proved to be the first gene in a tricistronic cluster that also included citC (coding for isocitrate dehydrogenase) and citH (coding for malate dehydrogenase). A mutation in citZ caused a substantial loss of citrate synthase enzyme activity, glutamate auxotrophy, and a defect in sporulation.

  2. Identification and characterization of TIFY family genes in Brachypodium distachyon.

    PubMed

    Zhang, Lihua; You, Jun; Chan, Zhulong

    2015-11-01

    The TIFY family is a plant-specific gene family encoding proteins characterized by a conserved TIFY domain. This family encodes four subfamilies of proteins, including ZIM-like (ZML), TIFY, PPD and JASMONATE ZIM-Domain (JAZ) proteins. TIFY proteins play important roles in plant development and stress responses. In this study, 21 BdTIFYs were identified in Brachypodium distachyon through genome-wide analysis, including 15 JAZ and 6 ZML genes. Analysis of the distribution of conserved domains showed that there are three additional domains (CCT domain, GATA domain and Jas domain) in the BdTIFY proteins besides the TIFY domain. Phylogenetic analysis indicated that these 21 proteins were classified into two major groups. Expression profile of BdTIFY genes in response to abiotic stresses and phytohormones was analyzed using quantitative real-time RT-PCR. Among 21 BdTIFY genes, 12 of them were induced by JA treatment, and 4 of them were induced by ABA treatment. Most of BdTIFY genes were responsive to one or more abiotic stresses including drought, salinity, low temperature and heat. Especially, BdTIFY5, 9a, 9b, 10c and 11a were significantly up-regulated by multiple abiotic stresses. These results provided important clues for functional analysis of TIFY family genes in B. distachyon.

  3. Phylogeny and Identification of Pantoea Species and Typing of Pantoea agglomerans Strains by Multilocus Gene Sequencing ▿ †

    PubMed Central

    Delétoile, Alexis; Decré, Dominique; Courant, Stéphanie; Passet, Virginie; Audo, Jennifer; Grimont, Patrick; Arlet, Guillaume; Brisse, Sylvain

    2009-01-01

    Pantoea agglomerans and other Pantoea species cause infections in humans and are also pathogenic to plants, but the diversity of Pantoea strains and their possible association with hosts and disease remain poorly known, and identification of Pantoea species is difficult. We characterized 36 Pantoea strains, including 28 strains of diverse origins initially identified as P. agglomerans, by multilocus gene sequencing based on six protein-coding genes, by biochemical tests, and by antimicrobial susceptibility testing. Phylogenetic analysis and comparison with other species of Enterobacteriaceae revealed that the genus Pantoea is highly diverse. Most strains initially identified as P. agglomerans by use of API 20E strips belonged to a compact sequence cluster together with the type strain, but other strains belonged to diverse phylogenetic branches corresponding to other species of Pantoea or Enterobacteriaceae and to probable novel species. Biochemical characteristics such as fosfomycin resistance and utilization of d-tartrate could differentiate P. agglomerans from other Pantoea species. All 20 strains of P. agglomerans could be distinguished by multilocus sequence typing, revealing the very high discrimination power of this method for strain typing and population structure in this species, which is subdivided into two phylogenetic groups. PCR detection of the repA gene, associated with pathogenicity in plants, was positive in all clinical strains of P. agglomerans, suggesting that clinical and plant-associated strains do not form distinct populations. We provide a multilocus gene sequencing method that is a powerful tool for Pantoea species delineation and identification and for strain tracking. PMID:19052179

  4. PIECE: a database for plant gene structure comparison and evolution

    PubMed Central

    Wang, Yi; You, Frank M.; Lazo, Gerard R.; Luo, Ming-Cheng; Thilmony, Roger; Gordon, Sean; Kianian, Shahryar F.; Gu, Yong Q.

    2013-01-01

    Gene families often show degrees of differences in terms of exon–intron structures depending on their distinct evolutionary histories. Comparative analysis of gene structures is important for understanding their evolutionary and functional relationships within plant species. Here, we present a comparative genomics database named PIECE (http://wheat.pw.usda.gov/piece) for Plant Intron and Exon Comparison and Evolution studies. The database contains all the annotated genes extracted from 25 sequenced plant genomes. These genes were classified based on Pfam motifs. Phylogenetic trees were pre-constructed for each gene category. PIECE provides a user-friendly interface for different types of searches and a graphical viewer for displaying a gene structure pattern diagram linked to the resulting bootstrapped dendrogram for each gene family. The gene structure evolution of orthologous gene groups was determined using the GLOOME, Exalign and GECA software programs that can be accessed within the database. PIECE also provides a web server version of the software, GSDraw, for drawing schematic diagrams of gene structures. PIECE is a powerful tool for comparing gene sequences and provides valuable insights into the evolution of gene structure in plant genomes. PMID:23180792

  5. Utility of rpoB Gene Sequencing for Identification of Nontuberculous Mycobacteria in the Netherlands

    PubMed Central

    de Zwaan, Rina; van Ingen, Jakko

    2014-01-01

    In the Netherlands, clinical isolation of nontuberculous mycobacteria (NTM) has increased over the past decade. Proper identification of isolates is important, as NTM species differ strongly in clinical relevance. Most of the currently applied identification methods cannot distinguish between all different Mycobacterium species and complexes within species. rpoB gene sequencing exhibits a promising level of discrimination among rapidly and slowly growing mycobacteria, including the Mycobacterium avium complex. In this study, we prospectively compared rpoB gene sequencing with our routine algorithm of reverse line blot identification combined with partial 16S rRNA gene sequencing of 455 NTM isolates. rpoB gene sequencing identified 403 isolates to species level as 45 different known species and identified 44 isolates to complex level, and eight isolates remained unidentifiable to species level. In contrast, our reference reverse line blot assay with adjunctive 16S rRNA gene sequencing identified 390 isolates to species level (30 distinct species) and identified 56 isolates to complex level, and nine isolates remained unidentified. The higher discriminatory power of rpoB gene sequencing results largely from the distinction of separate species within complexes and subspecies. Also, Mycobacterium gordonae, Mycobacterium kansasii, and Mycobacterium interjectum were separated into multiple groupings with relatively low sequence similarity (98 to 94%), suggesting that these are complexes of closely related species. We conclude that rpoB gene sequencing is a more discriminative identification technique than the combination of reverse line blot and 16S rRNA gene sequencing and could introduce a major improvement in clinical care of NTM disease and the research on the epidemiology and clinical relevance of NTM. PMID:24808238

  6. Identification of genes associated with tumor development in CaSki cells in the cosmic space.

    PubMed

    Guo, Fengjie; Li, Yalin; Liu, Yan; Huang, Jian; Zhang, Zhijie; Wang, Jiajia; Li, Yuehui; Hu, Jinyue; Li, Guancheng

    2012-06-01

    It is important to understand the mechanisms of tumor development for curing cervical cancer. However, the molecular basis determining the different characteristics of tumor remains unclear. Space environment as a special study model can expand the study field of tumor development. To approach this, after human cervical carcinoma CaSki cells were flown on “Shen Zhou IV” space shuttle mission, the cell morphology and proliferation was investigated after flying to ground. We found that the growth of 48A9 CaSki cell (flight group) became slow compared with ground groups. Observation of cells by light microscopy revealed differences in cell morphology between ground controls and flight groups, and the flight group exhibited morphologic differences, characterized by rounder, smoother, decreased, smaller and low-adhension cells. Transmission electron microscope images showed the structure of the ultrastructural characteristics of 48A9 CaSki cells were clearly distinct from those of the ground CaSki cells in aspects of mitochondrion, cytoplasm, nucleus and ribosomes. MTT and soft agar assay showed that 48A9 CaSki cells grew slowly compared to ground control. Furthermore, suppression subtractive hybridization combining with reverse Northern blot was used to identify differently expression genes between flight and ground groups. These differentially expressed genes included cytoskeleton, cell differentiation, cell apoptosis, signal transduction, DNA repair, protein synthesis, substance metabolism, and antigen presentation. The identification of differently expressed genes which is likely to increase our understanding of the molecular processes underlying tumor development will provide new insight into tumor development mechanisms, and may facilitate the development of new anticancer strategies.

  7. A graphic method for identification of novel glioma related genes.

    PubMed

    Gao, Yu-Fei; Shu, Yang; Yang, Lei; He, Yi-Chun; Li, Li-Peng; Huang, GuaHua; Li, Hai-Peng; Jiang, Yang

    2014-01-01

    Glioma, as the most common and lethal intracranial tumor, is a serious disease that causes many deaths every year. Good comprehension of the mechanism underlying this disease is very helpful to design effective treatments. However, up to now, the knowledge of this disease is still limited. It is an important step to understand the mechanism underlying this disease by uncovering its related genes. In this study, a graphic method was proposed to identify novel glioma related genes based on known glioma related genes. A weighted graph was constructed according to the protein-protein interaction information retrieved from STRING and the well-known shortest path algorithm was employed to discover novel genes. The following analysis suggests that some of them are related to the biological process of glioma, proving that our method was effective in identifying novel glioma related genes. We hope that the proposed method would be applied to study other diseases and provide useful information to medical workers, thereby designing effective treatments of different diseases.

  8. Identification of the Fanconi anemia complementation group I gene, FANCI.

    PubMed

    Dorsman, Josephine C; Levitus, Marieke; Rockx, Davy; Rooimans, Martin A; Oostra, Anneke B; Haitjema, Anneke; Bakker, Sietske T; Steltenpool, Jûrgen; Schuler, Dezsö; Mohan, Sheila; Schindler, Detlev; Arwert, Fré; Pals, Gerard; Mathew, Christopher G; Waisfisz, Quinten; de Winter, Johan P; Joenje, Hans

    2007-01-01

    To identify the gene underlying Fanconi anemia (FA) complementation group I we studied informative FA-I families by a genome-wide linkage analysis, which resulted in 4 candidate regions together encompassing 351 genes. Candidates were selected via bioinformatics and data mining on the basis of their resemblance to other FA genes/proteins acting in the FA pathway, such as: degree of evolutionary conservation, presence of nuclear localization signals and pattern of tissue-dependent expression. We found a candidate, KIAA1794 on chromosome 15q25-26, to be mutated in 8 affected individuals previously assigned to complementation group I. Western blots of endogenous FANCI indicated that functionally active KIAA1794 protein is lacking in FA-I individuals. Knock-down of KIAA1794 expression by siRNA in HeLa cells caused excessive chromosomal breakage induced by mitomycin C, a hallmark of FA cells. Furthermore, phenotypic reversion of a patient-derived cell line was associated with a secondary genetic alteration at the KIAA1794 locus. These data add up to two conclusions. First, KIAA1794 is a FA gene. Second, this gene is identical to FANCI, since the patient cell lines found mutated in this study included the reference cell line for group I, EUFA592.

  9. Identification of Candidate Genes for Dyslexia Susceptibility on Chromosome 18

    PubMed Central

    Scerri, Thomas S.; Paracchini, Silvia; Morris, Andrew; MacPhie, I. Laurence; Talcott, Joel; Stein, John; Smith, Shelley D.; Pennington, Bruce F.; Olson, Richard K.; DeFries, John C.; Monaco, Anthony P.

    2010-01-01

    Background Six independent studies have identified linkage to chromosome 18 for developmental dyslexia or general reading ability. Until now, no candidate genes have been identified to explain this linkage. Here, we set out to identify the gene(s) conferring susceptibility by a two stage strategy of linkage and association analysis. Methodology/Principal Findings Linkage analysis: 264 UK families and 155 US families each containing at least one child diagnosed with dyslexia were genotyped with a dense set of microsatellite markers on chromosome 18. Association analysis: Using a discovery sample of 187 UK families, nearly 3000 SNPs were genotyped across the chromosome 18 dyslexia susceptibility candidate region. Following association analysis, the top ranking SNPs were then genotyped in the remaining samples. The linkage analysis revealed a broad signal that spans approximately 40 Mb from 18p11.2 to 18q12.2. Following the association analysis and subsequent replication attempts, we observed consistent association with the same SNPs in three genes; melanocortin 5 receptor (MC5R), dymeclin (DYM) and neural precursor cell expressed, developmentally down-regulated 4-like (NEDD4L). Conclusions Along with already published biological evidence, MC5R, DYM and NEDD4L make attractive candidates for dyslexia susceptibility genes. However, further replication and functional studies are still required. PMID:21060895

  10. Essential Gene Identification and Drug Target Prioritization in Aspergillus fumigatus

    PubMed Central

    Hu, Wenqi; Sillaots, Susan; Lemieux, Sebastien; Davison, John; Kauffman, Sarah; Breton, Anouk; Linteau, Annie; Xin, Chunlin; Bowman, Joel; Becker, Jeff; Jiang, Bo; Roemer, Terry

    2007-01-01

    Aspergillus fumigatus is the most prevalent airborne filamentous fungal pathogen in humans, causing severe and often fatal invasive infections in immunocompromised patients. Currently available antifungal drugs to treat invasive aspergillosis have limited modes of action, and few are safe and effective. To identify and prioritize antifungal drug targets, we have developed a conditional promoter replacement (CPR) strategy using the nitrogen-regulated A. fumigatus NiiA promoter (pNiiA). The gene essentiality for 35 A. fumigatus genes was directly demonstrated by this pNiiA-CPR strategy from a set of 54 genes representing broad biological functions whose orthologs are confirmed to be essential for growth in Candida albicans and Saccharomyces cerevisiae. Extending this approach, we show that the ERG11 gene family (ERG11A and ERG11B) is essential in A. fumigatus despite neither member being essential individually. In addition, we demonstrate the pNiiA-CPR strategy is suitable for in vivo phenotypic analyses, as a number of conditional mutants, including an ERG11 double mutant (erg11BΔ, pNiiA-ERG11A), failed to establish a terminal infection in an immunocompromised mouse model of systemic aspergillosis. Collectively, the pNiiA-CPR strategy enables a rapid and reliable means to directly identify, phenotypically characterize, and facilitate target-based whole cell assays to screen A. fumigatus essential genes for cognate antifungal inhibitors. PMID:17352532

  11. Identification of Helicobacter pylori genes that contribute to stomach colonization.

    PubMed

    Baldwin, David N; Shepherd, Benjamin; Kraemer, Petra; Hall, Michael K; Sycuro, Laura K; Pinto-Santini, Delia M; Salama, Nina R

    2007-02-01

    Chronic infection of the human stomach by Helicobacter pylori leads to a variety of pathological sequelae, including peptic ulcer and gastric cancer, resulting in significant human morbidity and mortality. Several genes have been implicated in disease related to H. pylori infection, including the vacuolating cytotoxin and the cag pathogenicity island. Other factors important for the establishment and maintenance of infection include urease enzyme production, motility, iron uptake, and stress response. We utilized a C57BL/6 mouse infection model to query a collection of 2,400 transposon mutants in two different bacterial strain backgrounds for H. pylori genetic loci contributing to colonization of the stomach. Microarray-based tracking of transposon mutants allowed us to monitor the behavior of transposon insertions in 758 different gene loci. Of the loci measured, 223 (29%) had a predicted colonization defect. These included previously described H. pylori virulence genes, genes implicated in virulence in other pathogenic bacteria, and 81 hypothetical proteins. We have retested 10 previously uncharacterized candidate colonization gene loci by making independent null alleles and have confirmed their colonization phenotypes by using competition experiments and by determining the dose required for 50% infection. Of the genetic loci retested, 60% have strain-specific colonization defects, while 40% have phenotypes in both strain backgrounds for infection, highlighting the profound effect of H. pylori strain variation on the pathogenic potential of this organism.

  12. Identification of internal reference genes for gene expression normalization between the two sexes in dioecious white Campion.

    PubMed

    Zemp, Niklaus; Minder, Aria; Widmer, Alex

    2014-01-01

    Quantitative real time (qRT)-PCR is a precise and efficient method for studying gene expression changes between two states of interest, and is frequently used for validating interesting gene expression patterns in candidate genes initially identified in genome-wide expression analyses, such as RNA-seq experiments. For an adequate normalisation of qRT-PCR data, it is essential to have reference genes available whose expression intensities are constant among the different states of interest. In this study we present and validate a catalogue of traditional and newly identified reference genes that were selected from RNA-seq data from multiple individuals from the dioecious plant Silene latifolia with the aim of studying gene expression differences between the two sexes in both reproductive and vegetative tissues. The catalogue contains more than 15 reference genes with both stable expression intensities and a range of expression intensities in flower buds and leaf tissues. These reference genes were used to normalize expression differences between reproductive and vegetative tissues in eight candidate genes with sex-biased expression. Our results suggest a trend towards a reduced sex-bias in sex-linked gene expression in vegetative tissues. In this study, we report on the systematic identification and validation of internal reference genes for adequate normalization of qRT-PCR-based analyses of gene expression differences between the two sexes in S. latifolia. We also show how RNA-seq data can be used efficiently to identify suitable reference genes in a wide diversity of species.

  13. Identification and Functional Analysis of Light-Responsive Unique Genes and Gene Family Members in Rice

    PubMed Central

    Jung, Ki-Hong; Lee, Jinwon; Dardick, Chris; Seo, Young-Su; Cao, Peijian; Canlas, Patrick; Phetsom, Jirapa; Xu, Xia; Ouyang, Shu; An, Kyungsook; Cho, Yun-Ja; Lee, Geun-Cheol; Lee, Yoosook; An, Gynheung; Ronald, Pamela C.

    2008-01-01

    Functional redundancy limits detailed analysis of genes in many organisms. Here, we report a method to efficiently overcome this obstacle by combining gene expression data with analysis of gene-indexed mutants. Using a rice NSF45K oligo-microarray to compare 2-week-old light- and dark-grown rice leaf tissue, we identified 365 genes that showed significant 8-fold or greater induction in the light relative to dark conditions. We then screened collections of rice T-DNA insertional mutants to identify rice lines with mutations in the strongly light-induced genes. From this analysis, we identified 74 different lines comprising two independent mutant lines for each of 37 light-induced genes. This list was further refined by mining gene expression data to exclude genes that had potential functional redundancy due to co-expressed family members (12 genes) and genes that had inconsistent light responses across other publicly available microarray datasets (five genes). We next characterized the phenotypes of rice lines carrying mutations in ten of the remaining candidate genes and then carried out co-expression analysis associated with these genes. This analysis effectively provided candidate functions for two genes of previously unknown function and for one gene not directly linked to the tested biochemical pathways. These data demonstrate the efficiency of combining gene family-based expression profiles with analyses of insertional mutants to identify novel genes and their functions, even among members of multi-gene families. PMID:18725934

  14. Identification of Targetable FGFR Gene Fusions in Diverse Cancers

    PubMed Central

    Wu, Yi-Mi; Su, Fengyun; Kalyana-Sundaram, Shanker; Khazanov, Nick; Ateeq, Bushra; Cao, Xuhong; Lonigro, Robert J.; Vats, Pankaj; Wang, Rui; Lin, Su-Fang; Cheng, Ann-Joy; Kunju, Lakshmi P.; Siddiqui, Javed; Tomlins, Scott A.; Wyngaard, Peter; Sadis, Seth; Roychowdhury, Sameek; Hussain, Maha H.; Feng, Felix Y.; Zalupski, Mark M.; Talpaz, Moshe; Pienta, Kenneth J.; Rhodes, Daniel R.; Robinson, Dan R.; Chinnaiyan, Arul M.

    2013-01-01

    Through a prospective clinical sequencing program for advanced cancers, four index cases were identified which harbor gene rearrangements of FGFR2 including patients with cholangiocarcinoma, breast cancer, and prostate cancer. After extending our assessment of FGFR rearrangements across multiple tumor cohorts, we identified additional FGFR gene fusions with intact kinase domains in lung squamous cell cancer, bladder cancer, thyroid cancer, oral cancer, glioblastoma, and head and neck squamous cell cancer. All FGFR fusion partners tested exhibit oligomerization capability, suggesting a shared mode of kinase activation. Overexpression of FGFR fusion proteins induced cell proliferation. Two bladder cancer cell lines that harbor FGFR3 fusion proteins exhibited enhanced susceptibility to pharmacologic inhibition in vitro and in vivo. Due to the combinatorial possibilities of FGFR family fusion to a variety of oligomerization partners, clinical sequencing efforts which incorporate transcriptome analysis for gene fusions are poised to identify rare, targetable FGFR fusions across diverse cancer types. PMID:23558953

  15. Identification of Mechanosensitive Genes during Embryonic Bone Formation

    PubMed Central

    Nowlan, Niamh C.; Prendergast, Patrick J.; Murphy, Paula

    2008-01-01

    Although it is known that mechanical forces are needed for normal bone development, the current understanding of how biophysical stimuli are interpreted by and integrated with genetic regulatory mechanisms is limited. Mechanical forces are thought to be mediated in cells by “mechanosensitive” genes, but it is a challenge to demonstrate that the genetic regulation of the biological system is dependant on particular mechanical forces in vivo. We propose a new means of selecting candidate mechanosensitive genes by comparing in vivo gene expression patterns with patterns of biophysical stimuli, computed using finite element analysis. In this study, finite element analyses of the avian embryonic limb were performed using anatomically realistic rudiment and muscle morphologies, and patterns of biophysical stimuli were compared with the expression patterns of four candidate mechanosensitive genes integral to bone development. The expression patterns of two genes, Collagen X (ColX) and Indian hedgehog (Ihh), were shown to colocalise with biophysical stimuli induced by embryonic muscle contractions, identifying them as potentially being involved in the mechanoregulation of bone formation. An altered mechanical environment was induced in the embryonic chick, where a neuromuscular blocking agent was administered in ovo to modify skeletal muscle contractions. Finite element analyses predicted dramatic changes in levels and patterns of biophysical stimuli, and a number of immobilised specimens exhibited differences in ColX and Ihh expression. The results obtained indicate that computationally derived patterns of biophysical stimuli can be used to inform a directed search for genes that may play a mechanoregulatory role in particular in vivo events or processes. Furthermore, the experimental data demonstrate that ColX and Ihh are involved in mechanoregulatory pathways and may be key mediators in translating information from the mechanical environment to the molecular

  16. Identification of Unique Type II Polyketide Synthase Genes in Soil

    PubMed Central

    Wawrik, Boris; Kerkhof, Lee; Zylstra, Gerben J.; Kukor, Jerome J.

    2005-01-01

    Many bacteria, particularly actinomycetes, are known to produce secondary metabolites synthesized by polyketide synthases (PKS). Bacterial polyketides are a particularly rich source of bioactive molecules, many of which are of potential pharmaceutical relevance. To directly access PKS gene diversity from soil, we developed degenerate PCR primers for actinomycete type II KSα (ketosynthase) genes. Twenty-one soil samples were collected from diverse sources in New Jersey, and their bacterial communities were compared by terminal restriction fragment length polymorphism (TRFLP) analysis of PCR products generated using bacterial 16S rRNA gene primers (27F and 1525R) as well as an actinomycete-specific forward primer. The distribution of actinomycetes was highly variable but correlated with the overall bacterial species composition as determined by TRFLP. Two samples were identified to contain a particularly rich and unique actinomycete community based on their TRFLP patterns. The same samples also contained the greatest diversity of KSα genes as determined by TRFLP analysis of KSα PCR products. KSα PCR products from these and three additional samples with interesting TRFLP pattern were cloned, and seven novel clades of KSα genes were identified. Greatest sequence diversity was observed in a sample containing a moderate number of peaks in its KSα TRFLP. The nucleotide sequences were between 74 and 81% identical to known sequences in GenBank. One cluster of sequences was most similar to the KSα involved in ardacin (glycopeptide antibiotic) production by Kibdelosporangium aridum. The remaining sequences showed greatest similarity to the KSα genes in pathways producing the angucycline-derived antibiotics simocyclinone, pradimicin, and jasomycin. PMID:15870305

  17. Identification and expression profiling analysis of goose melanoma differentiation associated gene 5 (MDA5) gene.

    PubMed

    Wei, L M; Jiao, P R; Song, Y F; Han, F; Cao, L; Yang, F; Ren, T; Liao, M

    2013-10-01

    Melanoma differentiation associated gene 5 (MDA5) is an important cytoplasmic receptor that recognizes long molecules of viral double-stranded RNA and single-stranded RNA with 5' triphosphate and mediates type I interferon secretion. In this study, the full-length MDA5 gene in the goose was identified and characterized. The cDNA of goose MDA5 was 3,306 bp in length with an open reading frame of 3,018 bp, which encoded a polypeptide of 1,005 amino acids. The deduced amino acid sequence contained 6 main structure domains including 2 caspase activation and recruitment domains, one DExD/H-box helicase domain, one type III restriction enzyme domain, one helicase conserved C-terminal domain, and one RIG-I C-terminal domain. Quantitative real-time PCR analysis indicated that goose MDA5 mRNA was constitutively expressed in all sampled tissues. It was highly expressed in the jejunum, trachea, ileum, colon, and kidney, and lowly expressed in the muscular stomach, glandular stomach, and muscle. A significant increase in the transcription of MDA5 was detected in the brain, spleen, and lungs of geese after infection with H5N1 highly pathogenic avian influenza virus compared with uninfected tissues. These findings indicated that goose MDA5 was an important receptor, involved in the antiviral innate immune defense to H5N1 highly pathogenic avian influenza virus in geese.

  18. Comparison of the Biolog OmniLog Identification System and 16S ribosomal RNA gene sequencing for accuracy in identification of atypical bacteria of clinical origin.

    PubMed

    Morgan, Megan C; Boyette, Marilyn; Goforth, Chris; Sperry, Katharine Volpe; Greene, Shermalyn R

    2009-12-01

    The Biolog OmniLog Identification System (Biolog) and the 16S ribosomal RNA (rRNA) gene sequencing methods were compared to conventional microbiological methods and evaluated for accuracy of bacterial identification. These methods were evaluated using 159 clinical isolates. Each isolate was initially identified by conventional biochemical tests and morphological characteristics and subsequently placed into one of seven categories: aerobic Actinomycetes, Bacillus, Coryneforms, fastidious Gram-negative rods (GNR), non-fermenting GNR, miscellaneous Gram-positive rods (GPR), and Vibrio/Aeromonas. After comparison to the conventional identification, the Biolog system and 16S rRNA gene sequence identifications were classified as follows: a) correct to the genus and species levels; b) correct to the genus level only; or c) neither (unacceptable) identification. Overall, 16S rRNA gene sequencing had the highest percent accuracy with 90.6% correct identifications, while the Biolog system identified 68.3% of the isolates correctly. For each category, 16S rRNA gene sequencing had a substantially higher percent accuracy compared to the conventional methods. It was determined that the Biolog system is deficient when identifying organisms in the fastidious GNR category (20.0%). The observed data suggest that 16S rRNA gene sequencing provides a more accurate identification of atypical bacteria than the Biolog system.

  19. Identification of blast resistance genes for managing rice blast disease

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Rice blast, caused by the fungal pathogen Magnaporthe oryzae, is one of the most devastating diseases worldwide. In the present study, an international set of monogenic differentials carrying 24 major blast resistance (R) genes (Pia, Pib, Pii, Pik, Pik-h, Pik-m, Pik-p, Pik-s, Pish, Pit, Pita, Pita2,...

  20. Identification of genetic elements associated with EPSPS gene amplification

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Weed populations can have high genetic plasticity and rapid responses to environmental selection pressures. For example, 100-fold amplification of the 5-enolpyruvylshikimate-3-phosphate synthase (EPSPS) gene evolved to confer resistance to glyphosate, the world's most important herbicide, in the wee...

  1. Identification of genes associated with low furanocoumarin content in grapefruit

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Some furanocoumarins in grapefruit (Citrus paradisi) are associated with the so-called grapefruit juice effect. Previous phytochemical quantification and genetic analysis suggested that the synthesis of these furanocoumarins may be controlled by a single gene in the pathway. In this study, cDNA-ampl...

  2. Identification of genes regulated by UV/salicylic acid.

    SciTech Connect

    Paunesku, T.; Chang-Liu, C.-M.; Shearin-Jones, P.; Watson, C.; Milton, J.; Oryhon, J.; Salbego, D.; Milosavljevic, A.; Woloschak, G. E.; CuraGen Corp.

    2000-02-01

    Purpose : Previous work from the authors' group and others has demonstrated that some of the effects of UV irradiation on gene expression are modulated in response to the addition of salicylic acid to irradiated cells. The presumed effector molecule responsible for this modulation is NF-kappaB. In the experiments described here, differential-display RT-PCR was used to identify those cDNAs that are differentially modulated by UV radiation with and without the addition of salicylic acid. Materials and methods : Differential-display RT-PCR was used to identify differentially expressed genes. Results : Eight such cDNAs are presented: lactate dehydrogenase (LDH-beta), nuclear encoded mitochondrial NADH ubiquinone reductase 24kDa (NDUFV2), elongation initiation factor 4B (eIF4B), nuclear dots protein SP100, nuclear encoded mitochondrial ATPase inhibitor (IF1), a cDNA similar to a subunit of yeast CCAAT transcription factor HAP5, and two expressed sequence tags (AA187906 and AA513156). Conclusions : Sequences of four of these genes contained NF-kappaB DNA binding sites of the type that may attract transrepressor p55/p55 NF-kappaB homodimers. Down-regulation of these genes upon UV irradiation may contribute to increased cell survival via suppression of p53 independent apoptosis.

  3. Identification of a gene regulatory network associated with prion replication

    PubMed Central

    Marbiah, Masue M; Harvey, Anna; West, Billy T; Louzolo, Anais; Banerjee, Priya; Alden, Jack; Grigoriadis, Anita; Hummerich, Holger; Kan, Ho-Man; Cai, Ying; Bloom, George S; Jat, Parmjit; Collinge, John; Klöhn, Peter-Christian

    2014-01-01

    Prions consist of aggregates of abnormal conformers of the cellular prion protein (PrPC). They propagate by recruiting host-encoded PrPC although the critical interacting proteins and the reasons for the differences in susceptibility of distinct cell lines and populations are unknown. We derived a lineage of cell lines with markedly differing susceptibilities, unexplained by PrPC expression differences, to identify such factors. Transcriptome analysis of prion-resistant revertants, isolated from highly susceptible cells, revealed a gene expression signature associated with susceptibility and modulated by differentiation. Several of these genes encode proteins with a role in extracellular matrix (ECM) remodelling, a compartment in which disease-related PrP is deposited. Silencing nine of these genes significantly increased susceptibility. Silencing of Papss2 led to undersulphated heparan sulphate and increased PrPC deposition at the ECM, concomitantly with increased prion propagation. Moreover, inhibition of fibronectin 1 binding to integrin α8 by RGD peptide inhibited metalloproteinases (MMP)-2/9 whilst increasing prion propagation. In summary, we have identified a gene regulatory network associated with prion propagation at the ECM and governed by the cellular differentiation state. PMID:24843046

  4. Identification of a Phytase Gene in Barley (Hordeum vulgare L.)

    PubMed Central

    Dai, Fei; Qiu, Long; Ye, Lingzhen; Wu, Dezhi; Zhou, Meixue; Zhang, Guoping

    2011-01-01

    Background Endogenous phytase plays a crucial role in phytate degradation and is thus closely related to nutrient efficiency in barley products. The understanding of genetic information of phytase in barley can provide a useful tool for breeding new barley varieties with high phytase activity. Methodology/Principal Findings Quantitative trait loci (QTL) analysis for phytase activity was conducted using a doubled haploid population. Phytase protein was purified and identified by the LC-ESI MS/MS Shotgun method. Purple acid phosphatase (PAP) gene was sequenced and the position was compared with the QTL controlling phytase activity. A major QTL for phytase activity was mapped to chromosome 5 H in barley. The gene controlling phytase activity in the region was named as mqPhy. The gene HvPAP a was mapped to the same position as mqPhy, supporting the colinearity between HvPAP a and mqPhy. Conclusions/Significance It is the first report on QTLs for phytase activity and the results showed that HvPAP a, which shares a same position with the QTL, is a major phytase gene in barley grains. PMID:21533044

  5. Structural identification and cardiovascular activities of oxidized phospholipids.

    PubMed

    Salomon, Robert G

    2012-09-14

    Free radical-induced oxidation of membrane phospholipids generates complex mixtures of oxidized phospholipids (oxPLs). The combinatorial operation of a few dozen reaction types on a few dozen phospholipid structures results in the production of a dauntingly vast diversity of oxPL molecular species. Structural identification of the individual oxPL in these mixtures is a redoubtable challenge that is absolutely essential to allow determination of the biological activities of individual species. With an emphasis on cardiovascular consequences, this Review focuses on biological activities of oxPLs whose molecular structures are known and highlights 2 diametrically opposite approaches that were used to determine those structures, that is, (1) the classic approach from bioactivity of a complex mixture to isolation and structural characterization of the active molecule followed by confirmation of the structure by unambiguous chemical synthesis and (2) hypothesis of products that are likely to be generated by lipid oxidation, followed by synthesis, and then detection in vivo guided by the availability of authentic standards, and last, characterization of biological activities. Especially important for the application of the second paradigm is the capability of LC-MS/MS and derivatizations to selectively detect and quantify specific oxPL in complex mixtures, without the need for their isolation or complete separation. This technology can provide strong evidence for identity by comparisons with pure, well-characterized samples available by chemical syntheses. Those pure samples are critical for determining the biological activities attributable to specific molecular species of oxPLs in the complex mixtures generated in vivo as a consequence of oxidative stress.

  6. Identification of patients with defects in the globin genes

    PubMed Central

    Dell’Edera, Domenico; Epifania, Annunziata Anna; Milazzo, Giusi Natalia; Leo, Manuela; Santacesaria, Carmela; Allegretti, Arianna; Mazzone, Eleonora; Panetta, Paolo; Iammarino, Giovanna; Lupo, Maria Giovanna; Barbieri, Rocchina; Lioi, Maria Brigida

    2013-01-01

    Summary Introduction hemoglobinopathies constitute a major health problem worldwide. These disorders are characterized by a clinical and hematological phenotypic heterogeneity. The increase of HbA2 is an invaluable hematological marker of the beta-thalassemia heterozygosis and of double heterozygosis for the alleles of delta and alpha globin genes or for the alleles of delta and beta globin genes which can cause the increase of HbA2 up to normal or borderline values. Case Report we report the case of a 30-year-old woman (first pregnant) who was admitted to our Unit at 12 weeks for a screening for thalassemia. The outcomes of the biochemical and haematological exams (MCV, MCH, HbA2, HbF) highlighted that the patient was a carrier of a beta-thalassemic trait. Molecular analysis of the beta globin genes highlighted a β039C>T heterozygous mutation. Biochemical and hematological parameters of the husband (MCV, MCH, HbA2, HbF) were normal except for the level of HbA2 (3,6%). The molecular analysis of the beta globin genes highlighted a IVS2 nt844 C>G heterozygous mutation. Furthermore, the heterozygous mutation δ+cod.27G>T was detected in his δ globin gene. For this reason, he was diagnosed a δ+β Thal. Conclusions the aim of this paper is to highlight that biochemical diagnosis could not exhaustive and a molecular diagnostic widening is required to detect the genetic deficiency causing the thalassemic trait. PMID:24611095

  7. Frequency domain identification for robust large space structure control design

    NASA Technical Reports Server (NTRS)

    Yam, Y.; Bayard, D. S.; Scheid, R. E.

    1991-01-01

    A methodology is demonstrated for frequency domain identification of large space structures which systematically transforms experimental raw data into a form required for synthesizing H(infinity) controllers using modern robust control design software (e.g., Matlab Toolboxes). A unique feature of this approach is that the additive uncertainty is characterized to a specified statistic confidence rather than with hard bounds. In this study, the difference in robust performance is minimal between the two levels of confidence. In general cases, the present methodology provides a tool for performance/confidence level tradeoff studies. For simplicity, the additive uncertainty on a frequency grid is considered and the interpolation error in between grid points is neglected.

  8. Identification of tapetum-specific genes by comparing global gene expression of four different male sterile lines in Brassica oleracea.

    PubMed

    Ma, Yuan; Kang, Jungen; Wu, Jian; Zhu, Yingguo; Wang, Xiaowu

    2015-04-01

    The tapetum plays an important role in anther development by providing necessary enzymes and nutrients for pollen development. However, it is difficult to identify tapetum-specific genes on a large-scale because of the difficulty of separating tapetum cells from other anther tissues. Here, we reported the identification of tapetum-specific genes by comparing the gene expression patterns of four male sterile (MS) lines of Brassica oleracea. The abortive phenotypes of the four MS lines revealed different defects in tapetum and pollen development but normal anther wall development when observed by transmission electron microscopy. These tapetum displayed continuous defective characteristics throughout the anther developmental stages. The transcriptome from flower buds, covering all anther developmental stages, was analyzed and bioinformatics analyses exploring tapetum development-related genes were performed. We identified 1,005 genes differentially expressed in at least one of the MS lines and 104 were non-pollen expressed genes (NPGs). Most of the identified NPGs were tapetum-specific genes considering that anther walls were normally developed in all four MS lines. Among the 104 NPGs, 22 genes were previously reported as being involved in tapetum development. We further separated the expressed NPGs into different developmental stages based on the MS defects. The data obtained in this study are not only informative for research on tapetum development in B. oleracea, but are also useful for genetic pathway research in other related species.

  9. Identification and validation of reference genes for quantitative RT-PCR normalization in wheat

    PubMed Central

    Paolacci, Anna R; Tanzarella, Oronzo A; Porceddu, Enrico; Ciaffi, Mario

    2009-01-01

    Background Usually the reference genes used in gene expression analysis have been chosen for their known or suspected housekeeping roles, however the variation observed in most of them hinders their effective use. The assessed lack of validated reference genes emphasizes the importance of a systematic study for their identification. For selecting candidate reference genes we have developed a simple in silico method based on the data publicly available in the wheat databases Unigene and TIGR. Results The expression stability of 32 genes was assessed by qRT-PCR using a set of cDNAs from 24 different plant samples, which included different tissues, developmental stages and temperature stresses. The selected sequences included 12 well-known HKGs representing different functional classes and 20 genes novel with reference to the normalization issue. The expression stability of the 32 candidate genes was tested by the computer programs geNorm and NormFinder using five different data-sets. Some discrepancies were detected in the ranking of the candidate reference genes, but there was substantial agreement between the groups of genes with the most and least stable expression. Three new identified reference genes appear more effective than the well-known and frequently used HKGs to normalize gene expression in wheat. Finally, the expression study of a gene encoding a PDI-like protein showed that its correct evaluation relies on the adoption of suitable normalization genes and can be negatively affected by the use of traditional HKGs with unstable expression, such as actin and α-tubulin. Conclusion The present research represents the first wide screening aimed to the identification of reference genes and of the corresponding primer pairs specifically designed for gene expression studies in wheat, in particular for qRT-PCR analyses. Several of the new identified reference genes outperformed the traditional HKGs in terms of expression stability under all the tested conditions

  10. Identification and validation of genes involved in cervical tumourigenesis

    PubMed Central

    2011-01-01

    Background Cervical cancer is the most common cancer among Indian women. This cancer has well defined pre-cancerous stages and evolves over 10-15 years or more. This study was undertaken to identify differentially expressed genes between normal, dysplastic and invasive cervical cancer. Materials and methods A total of 28 invasive cervical cancers, 4 CIN3/CIS, 4 CIN1/CIN2 and 5 Normal cervix samples were studied. We have used microarray technique followed by validation of the significant genes by relative quantitation using Taqman Low Density Array Real Time PCR. Immunohistochemistry was used to study the protein expression of MMP3, UBE2C and p16 in normal, dysplasia and cancers of the cervix. The effect of a dominant negative UBE2C on the growth of the SiHa cells was assessed using a MTT assay. Results Our study, for the first time, has identified 20 genes to be up-regulated and 14 down-regulated in cervical cancers and 5 up-regulated in CIN3. In addition, 26 genes identified by other studies, as to playing a role in cervical cancer, were also confirmed in our study. UBE2C, CCNB1, CCNB2, PLOD2, NUP210, MELK, CDC20 genes were overexpressed in tumours and in CIN3/CIS relative to both Normal and CIN1/CIN2, suggesting that they could have a role to play in the early phase of tumorigenesis. IL8, INDO, ISG15, ISG20, AGRN, DTXL, MMP1, MMP3, CCL18, TOP2A AND STAT1 were found to be upregulated in tumours. Using Immunohistochemistry, we showed over-expression of MMP3, UBE2C and p16 in cancers compared to normal cervical epithelium and varying grades of dysplasia. A dominant negative UBE2C was found to produce growth inhibition in SiHa cells, which over-expresses UBE2C 4 fold more than HEK293 cells. Conclusions Several novel genes were found to be differentially expressed in cervical cancer. MMP3, UBE2C and p16 protein overexpression in cervical cancers was confirmed by immunohistochemistry. These will need to be validated further in a larger series of samples. UBE2C could be

  11. Covariance Structure Models for Gene Expression Microarray Data

    ERIC Educational Resources Information Center

    Xie, Jun; Bentler, Peter M.

    2003-01-01

    Covariance structure models are applied to gene expression data using a factor model, a path model, and their combination. The factor model is based on a few factors that capture most of the expression information. A common factor of a group of genes may represent a common protein factor for the transcript of the co-expressed genes, and hence, it…

  12. Constrained maximum likelihood modal parameter identification applied to structural dynamics

    NASA Astrophysics Data System (ADS)

    El-Kafafy, Mahmoud; Peeters, Bart; Guillaume, Patrick; De Troyer, Tim

    2016-05-01

    A new modal parameter estimation method to directly establish modal models of structural dynamic systems satisfying two physically motivated constraints will be presented. The constraints imposed in the identified modal model are the reciprocity of the frequency response functions (FRFs) and the estimation of normal (real) modes. The motivation behind the first constraint (i.e. reciprocity) comes from the fact that modal analysis theory shows that the FRF matrix and therefore the residue matrices are symmetric for non-gyroscopic, non-circulatory, and passive mechanical systems. In other words, such types of systems are expected to obey Maxwell-Betti's reciprocity principle. The second constraint (i.e. real mode shapes) is motivated by the fact that analytical models of structures are assumed to either be undamped or proportional damped. Therefore, normal (real) modes are needed for comparison with these analytical models. The work done in this paper is a further development of a recently introduced modal parameter identification method called ML-MM that enables us to establish modal model that satisfies such motivated constraints. The proposed constrained ML-MM method is applied to two real experimental datasets measured on fully trimmed cars. This type of data is still considered as a significant challenge in modal analysis. The results clearly demonstrate the applicability of the method to real structures with significant non-proportional damping and high modal densities.

  13. Sex identification using the ZFX and ZFY genes in common marmosets (Callithrix jacchus).

    PubMed

    Takabayashi, Shuji; Katoh, Hideki

    2011-01-01

    We investigated sex determination via the ZFX and ZFY genes using PCR-RFLP in the common marmoset. We designed a novel primer set to detect ZFX and ZFY. A 483-bp band from the ZFX gene and a 471-bp band from the ZFY gene were amplified. Sequencing data of the products amplified from ZFX and ZFY showed the recognition sites of two restriction enzymes, DdeI and MseI, respectively. After digestion of the products using each enzyme, we found that the band patterns between females and males were different. PCR-based sex identification might provide a tool for further breeding studies and experimental embryological studies using marmosets.

  14. Identification of targetable FGFR gene fusions in diverse cancers.

    PubMed

    Wu, Yi-Mi; Su, Fengyun; Kalyana-Sundaram, Shanker; Khazanov, Nickolay; Ateeq, Bushra; Cao, Xuhong; Lonigro, Robert J; Vats, Pankaj; Wang, Rui; Lin, Su-Fang; Cheng, Ann-Joy; Kunju, Lakshmi P; Siddiqui, Javed; Tomlins, Scott A; Wyngaard, Peter; Sadis, Seth; Roychowdhury, Sameek; Hussain, Maha H; Feng, Felix Y; Zalupski, Mark M; Talpaz, Moshe; Pienta, Kenneth J; Rhodes, Daniel R; Robinson, Dan R; Chinnaiyan, Arul M

    2013-06-01

    Through a prospective clinical sequencing program for advanced cancers, four index cases were identified which harbor gene rearrangements of FGFR2, including patients with cholangiocarcinoma, breast cancer, and prostate cancer. After extending our assessment of FGFR rearrangements across multiple tumor cohorts, we identified additional FGFR fusions with intact kinase domains in lung squamous cell cancer, bladder cancer, thyroid cancer, oral cancer, glioblastoma, and head and neck squamous cell cancer. All FGFR fusion partners tested exhibit oligomerization capability, suggesting a shared mode of kinase activation. Overexpression of FGFR fusion proteins induced cell proliferation. Two bladder cancer cell lines that harbor FGFR3 fusion proteins exhibited enhanced susceptibility to pharmacologic inhibition in vitro and in vivo. Because of the combinatorial possibilities of FGFR family fusion to a variety of oligomerization partners, clinical sequencing efforts, which incorporate transcriptome analysis for gene fusions, are poised to identify rare, targetable FGFR fusions across diverse cancer types.

  15. Identification of genes expressed by Cryptococcus gattii during iron deprivation.

    PubMed

    de Paula, Daphine Ariadne Jesus; Rosa e Silva, Lívia Kmetzsch; Staats, Charley Christian; Vainstein, Marilene H; Joanoni, Ana Lúcia Pinto; Nakazato, Luciano; Dutra, Valéria

    2014-01-01

    Cryptococcus neoformans and C. gattii are pathogenic yeasts that cause life-threatening diseases in humans and animals. Iron is an essential nutrient for virtually every organism as it functions as a cofactor in numerous essential enzymatic reactions. In the literature, the competition for iron between microbes and mammalian hosts during infection is well documented. In this study, we used representational difference analysis (RDA) in order to gain a better understanding of how C. gattii responds to iron starvation. A total of 15 and 29 genes were identified as having altered expression levels due to iron depletion after 3 h and 12 h, respectively. Of these, eight genes were identified in both libraries. The transcripts were related to many biological processes, such as cell cycle, ergosterol metabolism, cell wall organization, transportation, translation, cell respiration and the stress response. These data suggest a remodeling of C. gattii metabolism during conditions of iron deprivation.

  16. Identification of a gene cluster associated with triclosan catabolism.

    PubMed

    Kagle, Jeanne M; Paxson, Clayton; Johnstone, Precious; Hay, Anthony G

    2015-06-01

    Aerobic degradation of bis-aryl ethers like the antimicrobial triclosan typically proceeds through oxygenase-dependent catabolic pathways. Although several studies have reported on bacteria capable of degrading triclosan aerobically, there are no reports describing the genes responsible for this process. In this study, a gene encoding the large subunit of a putative triclosan oxygenase, designated tcsA was identified in a triclosan-degrading fosmid clone from a DNA library of Sphingomonas sp. RD1. Consistent with tcsA's similarity to two-part dioxygenases, a putative FMN-dependent ferredoxin reductase, designated tcsB was found immediately downstream of tcsA. Both tcsAB were found in the midst of a putative chlorocatechol degradation operon. We show that RD1 produces hydroxytriclosan and chlorocatechols during triclosan degradation and that tcsA is induced by triclosan. This is the first study to report on the genetics of triclosan degradation.

  17. Identification of three SNPs in the porcine myostatin gene (MSTN).

    PubMed

    Jiang, Y L; Li, N; Plastow, G; Liu, Z L; Hu, X X; Wu, C X

    2002-05-01

    Thirteen pairs of primers were designed for the entire porcine MSTN gene to enable PCR amplification for the detection of single nucleotide polymorphisms (SNPs) by a PCR-SSCP approach. Altogether 96.5% (1089/1128) of the encoding regions and 971 bp of the non-coding regions were screened. A total of three polymorphisms were identified with PCR-SSCP. They were located in the promoter, intron one and exon three regions of the gene. These polymorphisms were then confirmed to be point mutations (T --> A transversion, G --> A transition and C --> T transition respectively) by sequencing. Allele frequencies were determined for all three SNPs in several different pig breed populations. The polymorphisms were found to be rare in Western breeds, but much more common in Chinese breeds. Whether they have any relationship with the marked difference in lean meat mass between Western and Chinese breeds requires further study.

  18. Identification of GALNT14 as a novel neuroblastoma predisposition gene

    PubMed Central

    Chierici, Marco; Furlanello, Cesare; Conte, Massimo; Garaventa, Alberto; Croce, Michela; Ferrini, Silvano; Tonini, Gian Paolo; Longo, Luca

    2015-01-01

    Although several genes have been associated to neuroblastoma (NB) predisposition and aggressiveness, further genes are likely involved in the overall risk of developing this pediatric cancer. We thus carried out whole-exome sequencing on germline DNA from two affected second cousins and two unlinked healthy relatives from a large family with hereditary NB. Bioinformatics analysis revealed 6999 variations that were exclusively shared by the two familial NB cases. We then considered for further analysis all unknown or rare missense mutations, which involved 30 genes. Validation and analysis of these variants led to identify a GALNT14 mutation (c.802C > T) that properly segregated in the family and was predicted as functionally damaging by PolyPhen2 and SIFT. Screening of 8 additional NB families and 167 sporadic cases revealed this GALNT14 mutation in the tumors of two twins and in the germline of one sporadic NB patient. Moreover, a significant association between MYCN amplification and GALNT14 expression was observed in both NB patients and cell lines. Also, GALNT14 higher expression is associated with a worse OS in a public dataset of 88 NB samples (http://r2.amc.nl). GALNT14 is a member of the polypeptide N-acetylgalactosaminyl-transferase family and maps closely to ALK on 2p23.1, a region we previously discovered in linkage with NB in the family here considered. The aberrant function of GALNTs can result in altered glycoproteins that have been associated to the promotion of tumor aggressiveness in various cancers. Although rare, the recurrence of this mutation suggests GALNT14 as a novel gene potentially involved in NB predisposition. PMID:26309160

  19. Identification of gravitropic response indicator genes in Arabidopsis inflorescence stems.

    PubMed

    Taniguchi, Masatoshi; Nakamura, Moritaka; Tasaka, Masao; Morita, Miyo Terao

    2014-01-01

    Differential organ growth during gravitropic response is caused by differential accumulation of auxin, that is, relative higher auxin concentration in lower flanks than in upper flanks of responding organs. Auxin responsive reporter systems such as DR5::GUS and DR5::GFP have usually been used as indicators of gravitropic response in roots and hypocotyls of Arabidopsis. However, in the inflorescence stems, the reporter systems don't work well to monitor gravitropic response. Here, we aim to certify appropriate gravitropic response indicators (GRIs) in inflorescence stems. We performed microarray analysis comparing gene expression profiles between upper and lower flanks of Arabidopsis inflorescence stems after gravistimulation. Thirty genes showed > 2-fold differentially increased expression in lower flanks at 30 min, of which 19 were auxin response genes. We focused on IAA5 and IAA2 and verified whether they are appropriate GRIs by real-time qRT-PCR analyses. Transcript levels of IAA5 and IAA2 were remarkably higher in lower flanks than in upper flanks after gravistimulation. The biased IAA5 or IAA2 expression is disappeared in sgr2-1 mutant which is defective in gravity perception, indicating that gravity perception process is essential for formation of the biased gene expression during gravitropism. IAA5 expression was remarkably increased in lower flanks at 30 min after gravistimulation, whereas IAA2 expression was gradually decreased in upper flanks in a time-dependent manner. Therefore, we conclude that IAA5 is a sensitive GRI to monitor asymmetric auxin signaling caused by gravistimulation in Arabidopsis inflorescence stems.

  20. Identification of Dictyostelium G alpha genes expressed during multicellular development.

    PubMed Central

    Hadwiger, J A; Wilkie, T M; Strathmann, M; Firtel, R A

    1991-01-01

    Guanine nucleotide-binding protein (G protein)-mediated signal transduction constitutes a common mechanism by which cells receive and respond to a diverse set of environmental signals. Many of the signals involved in the developmental life cycle of the slime mold Dictyostelium have been postulated to be transduced by such pathways and, in some cases, these pathways have been demonstrated to be dependent on specific G proteins. Using the polymerase chain reaction, we have identified two additional Dictyostelium G alpha genes, G alpha 4 and G alpha 5, that are developmentally regulated. Transcripts from both of these genes are primarily expressed during the multicellular stages of development, suggesting possible roles in cell differentiation or morphogenesis. The entire G alpha 4 gene was sequenced and found to encode a protein consisting of 345 amino acids. The G alpha 4 subunit is homologous to other previously identified G alpha subunits, including the Dictyostelium G alpha 1 (43% identity) and G alpha 2 (41% identity) subunits. However, the G alpha 4 subunit contains some unusual sequence divergences in residues highly conserved among most eukaryotic G alpha subunits, suggesting that G alpha 4 may be a member of another class of G alpha subunits. Images PMID:1910174

  1. Identification of genes and candidate agents associated with pancreatic cancer.

    PubMed

    Wang, Bao-sheng; Liu, Zhen; Sun, Shao-long; Zhao, Yi

    2014-01-01

    Pancreatic cancer is a malignant neoplasm originating from transformed cells arising in tissues forming the pancreas. A major challenge in current cancer research is biological interpretation of complexity of cancer somatic mutation profiles. It has been suggested that several molecular alterations may play important roles in pancreatic carcinogenesis. In this study, by using the GSE28735 affymetrix microarray data accessible from Gene Expression Omnibus (GEO) database, we identified differentially expressed genes (DEGs) between paired pancreatic cancer tissues and adjacent nontumor tissues, followed the protein-protein interaction of the DEGs. Our study identified thousands of DEGs involved in regulation of cell cycle and apoptosis in progression of pancreatic cancer. Sp1 was predicted to be the major regulator by transcription factors analysis. From the protein-protein interaction networks, we found that Tk1 might play an important role in the progression of pancreatic cancer. Finally, we predicted candidate agents, including tomatidine and nialamide, which may be used as drugs to treat pancreatic cancer. In conclusion, our data provide a comprehensive bioinformatics analysis of genes and pathways which may be involved in the progression of pancreatic cancer.

  2. Identification of the neurofibromatosis type 1 gene product

    SciTech Connect

    Gutmann, D.H.; Wood, D.L.; Collins, F.S. )

    1991-11-01

    The gene for neurofibromatosis type 1 (NF1) was recently identified by positional cloning. The complete cDNA encodes a polypeptide of 2818 amino acids. To study the NF1 gene product, antibodies were raised against both fusion proteins and synthetic peptides. Initial characterization of two anti-peptide antibodies and one fusion-protein antibody demonstrated a specific protein of {approx}250 kDa by both immunoprecipitation and immunoblotting. This protein was found in all tissues and cell lines examined and is detected in human, rat, and mouse tissues. To demonstrate that these antibodies specifically recognize the NF1 protein, additional fusion proteins containing the sequence specific to the synthetic peptide were generated. Both peptide antisera recognize the proper specific fusion proteins so generated. Immunoprecipitates using the peptide antisera were shown to recognize the same protein detected by immunoblotting with either the other peptide antiserum or the fusion-protein antiserum. Immunoblotting using antiserum specific to spatially distinct epitopes conducted on tissue homogenates demonstrated the NF1 protein in all adult tissues. Based on the homology between the NF1 gene product and members of the GTPase-activating protein (GAP) superfamily, the name NF1-GAP-related protein (NF1GRP) is suggested.

  3. Identification and Characterization of Clostridium sordellii Toxin Gene Regulator

    PubMed Central

    Sirigi Reddy, Apoorva Reddy; Girinathan, Brintha Parasumanna; Zapotocny, Ryan

    2013-01-01

    Toxigenic Clostridium sordellii causes uncommon but highly lethal infections in humans and animals. Recently, an increased incidence of C. sordellii infections has been reported in women undergoing obstetric interventions. Pathogenic strains of C. sordellii produce numerous virulence factors, including sordellilysin, phospholipase, neuraminidase, and two large clostridial glucosylating toxins, TcsL and TcsH. Recent studies have demonstrated that TcsL toxin is an essential virulence factor for the pathogenicity of C. sordellii. In this study, we identified and characterized TcsR as the toxin gene (tcsL) regulator in C. sordellii. High-throughput sequencing of two C. sordellii strains revealed that tcsR lies within a genomic region that encodes TcsL, TcsH, and TcsE, a putative holin. By using ClosTron technology, we inactivated the tcsR gene in strain ATCC 9714. Toxin production and tcsL transcription were decreased in the tcsR mutant strain. However, the complemented tcsR mutant produced large amounts of toxins, similar to the parental strain. Expression of the Clostridium difficile toxin gene regulator tcdR also restored toxin production to the C. sordellii tcsR mutant, showing that these sigma factors are functionally interchangeable. PMID:23873908

  4. Identification, expression, and comparative genomic analysis of the IPT and CKX gene families in Chinese cabbage (Brassica rapa ssp. pekinensis)

    PubMed Central

    2013-01-01

    Background Cytokinins (CKs) have significant roles in various aspects of plant growth and development, and they are also involved in plant stress adaptations. The fine-tuning of the controlled CK levels in individual tissues, cells, and organelles is properly maintained by isopentenyl transferases (IPTs) and cytokinin oxidase/dehydrogenases (CKXs). Chinese cabbage is one of the most economically important vegetable crops worldwide. The whole genome sequencing of Brassica rapa enables us to perform the genome-wide identification and functional analysis of the IPT and CKX gene families. Results In this study, a total of 13 BrIPT genes and 12 BrCKX genes were identified. The gene structures, conserved domains and phylogenetic relationships were analyzed. The isoelectric point, subcellular localization and glycosylation sites of the proteins were predicted. Segmental duplicates were found in both BrIPT and BrCKX gene families. We also analyzed evolutionary patterns and divergence of the IPT and CKX genes in the Cruciferae family. The transcription levels of BrIPT and BrCKX genes were analyzed to obtain an initial picture of the functions of these genes. Abiotic stress elements related to adverse environmental stimuli were found in the promoter regions of BrIPT and BrCKX genes and they were confirmed to respond to drought and high salinity conditions. The effects of 6-BA and ABA on the expressions of BrIPT and BrCKX genes were also investigated. Conclusions The expansion of BrIPT and BrCKX genes after speciation from Arabidopsis thaliana is mainly attributed to segmental duplication events during the whole genome triplication (WGT) and substantial duplicated genes are lost during the long evolutionary history. Genes produced by segmental duplication events have changed their expression patterns or may adopted new functions and thus are obtained. BrIPT and BrCKX genes respond well to drought and high salinity stresses, and their transcripts are affected by exogenous

  5. Identification of disease genes: example-driven web-based tutorial.

    PubMed

    Bhagwat, Medha

    2007-01-01

    The National Center for Biotechnology Information (NCBI) has developed several web-based mini-courses (www.ncbi.nlm.nih.gov/Class/minicourses) illustrating the applications of NCBI resources. This chapter describes the problem-based minicourse called "Identification of Disease Genes." The mini-course guides us through one of the several ways to identify disease related genes, starting from the expressed sequence data such as that may have been obtained from patients. The chapter first provides an introduction to the human genome assembly and the resources such as the Basic Local Alignment Search Tool, Map Viewer, Single Nucleotide Polymorphism database, and Online Mendelian Inheritance in Man. The chapter then demonstrates the practical application of these resources to the identification of genes related to two diseases, hemochromatosis and sickle cell anemia. The chapter also provides links to the mini-course web pages and includes the screen images of the results of the applied steps.

  6. Genome-wide identification and analysis of the aldehyde dehydrogenase (ALDH) gene superfamily in apple (Malus × domestica Borkh.).

    PubMed

    Li, Xiaoqin; Guo, Rongrong; Li, Jun; Singer, Stacy D; Zhang, Yucheng; Yin, Xiangjing; Zheng, Yi; Fan, Chonghui; Wang, Xiping

    2013-10-01

    Aldehyde dehydrogenases (ALDHs) represent a protein superfamily encoding NAD(P)(+)-dependent enzymes that oxidize a wide range of endogenous and exogenous aliphatic and aromatic aldehydes. In plants, they are involved in many biological processes and play a role in the response to environmental stress. In this study, a total of 39 ALDH genes from ten families were identified in the apple (Malus × domestica Borkh.) genome. Synteny analysis of the apple ALDH (MdALDH) genes indicated that segmental and tandem duplications, as well as whole genome duplications, have likely contributed to the expansion and evolution of these gene families in apple. Moreover, synteny analysis between apple and Arabidopsis demonstrated that several MdALDH genes were found in the corresponding syntenic blocks of Arabidopsis, suggesting that these genes appeared before the divergence of lineages that led to apple and Arabidopsis. In addition, phylogenetic analysis, as well as comparisons of exon-intron and protein structures, provided further insight into both their evolutionary relationships and their putative functions. Tissue-specific expression analysis of the MdALDH genes demonstrated diverse spatiotemporal expression patterns, while their expression profiles under abiotic stress and various hormone treatments indicated that many MdALDH genes were responsive to high salinity and drought, as well as different plant hormones. This genome-wide identification, as well as characterization of evolutionary relationships and expression profiles, of the apple MdALDH genes will not only be useful for the further analysis of ALDH genes and their roles in stress response, but may also aid in the future improvement of apple stress tolerance.

  7. Evolutionary and Topological Properties of Genes and Community Structures in Human Gene Regulatory Networks.

    PubMed

    Szedlak, Anthony; Smith, Nicholas; Liu, Li; Paternostro, Giovanni; Piermarocchi, Carlo

    2016-06-01

    The diverse, specialized genes present in today's lifeforms evolved from a common core of ancient, elementary genes. However, these genes did not evolve individually: gene expression is controlled by a complex network of interactions, and alterations in one gene may drive reciprocal changes in its proteins' binding partners. Like many complex networks, these gene regulatory networks (GRNs) are composed of communities, or clusters of genes with relatively high connectivity. A deep understanding of the relationship between the evolutionary history of single genes and the topological properties of the underlying GRN is integral to evolutionary genetics. Here, we show that the topological properties of an acute myeloid leukemia GRN and a general human GRN are strongly coupled with its genes' evolutionary properties. Slowly evolving ("cold"), old genes tend to interact with each other, as do rapidly evolving ("hot"), young genes. This naturally causes genes to segregate into community structures with relatively homogeneous evolutionary histories. We argue that gene duplication placed old, cold genes and communities at the center of the networks, and young, hot genes and communities at the periphery. We demonstrate this with single-node centrality measures and two new measures of efficiency, the set efficiency and the interset efficiency. We conclude that these methods for studying the relationships between a GRN's community structures and its genes' evolutionary properties provide new perspectives for understanding evolutionary genetics.

  8. Identification of the Gene for Scleroderma in the Tsk/2 Mouse Strain: Implicationsfor Human Scleroderma Pathogenesis and Subset Distinctions

    DTIC Science & Technology

    2013-07-01

    11-1-0524 TITLE: Identification of the Gene for Scleroderma in the Tsk/2 Mouse Strain: Implications for Human Scleroderma Pathogenesis and...Z39.18 Identification of the Gene for Scleroderma in the Tsk/2 Mouse Strain: Implications for Human Scleroderma Pathogenesis and Subset...clinical model. In this report, we show a clear time dependence on the gene expression in the skin of the Tsk2/+ mice. We have proven that Col3a1 is

  9. Identification of genes in anonymous DNA sequences. Final report: Report period, 15 April 1993--15 April 1994

    SciTech Connect

    Fields, C.A.

    1994-09-01

    This Report concludes the DOE Human Genome Program project, ``Identification of Genes in Anonymous DNA Sequence.`` The central goals of this project have been (1) understanding the problem of identifying genes in anonymous sequences, and (2) development of tools, primarily the automated identification system gm, for identifying genes. The activities supported under the previous award are summarized here to provide a single complete report on the activities supported as part of the project from its inception to its completion.

  10. PIECE: A database for plant gene structure comparison and evolution

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Gene families often show degrees of differences in terms of exon-intron structures depending on their distinct evolutionary histories. Comparative analysis of gene structures is important for understanding their evolutionary and functional relationships within plant species. Here, we present a com...

  11. Identification of Development and Pathogenicity Related Gene in Botrytis cinerea via Digital Gene Expression Profile

    PubMed Central

    Zhao, Bin; Si, He Long; Sun, Zhi Ying; Xu, Zheng; Chen, Zhan; Zhang, Jin lin; Xing, Ji Hong; Dong, Jin Gao

    2015-01-01

    Background: Botrytis cinerea, a haploid Euascomycete fungus that infects numerous crops, has been used as a model system for studying molecular phytopathology. Botrytis cinerea adopts various modes of infection, which are mediated by a number of pathogenicity and virulence-related genes. Many of these genes have not been reported previously. Objectives: This study aimed to investigate development and pathogenicity-related genes between a novel nonpathogenic mutant and the Wild Type (WT) in B. cinerea. Materials and Methods: Digital Gene Expression (DGE) tag profiling can reveal novel genes that may be involved in development and pathogenicity of plant pathogen. A large volume of B. cinerea tag-seq was generated to identify differential expressed genes by the Illumina DGE tag profiling technology. Results: A total of 4,182,944 and 4,182,021 clean tags were obtained from the WT and a nonpathogenic mutant stain (BCt89), respectively, and 10,410 differentially expressed genes were identified. In addition, 84 genes were expressed in the WT only while 34 genes were expressed in the mutant only. A total of 664 differentially expressed genes were involved in 91 Kyoto Encyclopedia of Genes and Genome pathways, including signaling and metabolic pathways. Conclusions: Expression levels of 1,426 genes were significantly up-regulated in the mutant compared to WT. Furthermore, 301 genes were down-regulated with False Discovery Rates (FDR) of < 0.001 and absolute value of log2 Ratio of ≥ 1. PMID:26034553

  12. Identification of mechanosensitive genes during skeletal development: alteration of genes associated with cytoskeletal rearrangement and cell signalling pathways

    PubMed Central

    2014-01-01

    Background Mechanical stimulation is necessary for regulating correct formation of the skeleton. Here we test the hypothesis that mechanical stimulation of the embryonic skeletal system impacts expression levels of genes implicated in developmentally important signalling pathways in a genome wide approach. We use a mutant mouse model with altered mechanical stimulation due to the absence of limb skeletal muscle (Splotch-delayed) where muscle-less embryos show specific defects in skeletal elements including delayed ossification, changes in the size and shape of cartilage rudiments and joint fusion. We used Microarray and RNA sequencing analysis tools to identify differentially expressed genes between muscle-less and control embryonic (TS23) humerus tissue. Results We found that 680 independent genes were down-regulated and 452 genes up-regulated in humeri from muscle-less Spd embryos compared to littermate controls (at least 2-fold; corrected p-value ≤0.05). We analysed the resulting differentially expressed gene sets using Gene Ontology annotations to identify significant enrichment of genes associated with particular biological processes, showing that removal of mechanical stimuli from muscle contractions affected genes associated with development and differentiation, cytoskeletal architecture and cell signalling. Among cell signalling pathways, the most strongly disturbed was Wnt signalling, with 34 genes including 19 pathway target genes affected. Spatial gene expression analysis showed that both a Wnt ligand encoding gene (Wnt4) and a pathway antagonist (Sfrp2) are up-regulated specifically in the developing joint line, while the expression of a Wnt target gene, Cd44, is no longer detectable in muscle-less embryos. The identification of 84 genes associated with the cytoskeleton that are down-regulated in the absence of muscle indicates a number of candidate genes that are both mechanoresponsive and potentially involved in mechanotransduction, converting a

  13. Mitochondrial 16S ribosomal RNA gene for forensic identification of crocodile species.

    PubMed

    Naga Jogayya, K; Meganathan, P R; Dubey, Bhawna; Haque, I

    2013-05-01

    All crocodilians are under various threats due to over exploitation and these species have been listed in Appendix I or II of CITES. Lack of molecular techniques for the forensic identification of confiscated samples makes it difficult to enforce the law. Therefore, we herein present a molecular method developed on the basis on 16S rRNA gene of mitochondrial DNA for identification of crocodile species. We have developed a set of 16S rRNA primers for PCR based identification of crocodilian species. These novel primers amplify partial 16S rRNA sequences of six crocodile species which can be later combined to obtain a larger region (1290 bp) of 16S rRNA gene. This 16S rRNA gene could be used as an effective tool for forensic authentication of crocodiles. The described primers hold great promise in forensic identification of crocodile species, which can aid in the effective enforcement of law and conservation of these species.

  14. Identification of forensically important sarcophagid flies (Diptera: Sarcophagidae) in China based on COI and period gene.

    PubMed

    Guo, Yadong; Zha, Lagabaiyila; Yan, Weitao; Li, Pei; Cai, Jifeng; Wu, LiXiang

    2014-01-01

    Unequivocal identification of insect specimens is an essential requirement in forensic entomology. With the development of molecular identification, spate of discussions about the feature of the DNA fragments have been raised. Relying solely on single DNA fragment for delimiting closely related species is supposed to be dangerous. Aiming at obtaining more reliable markers that might be universally used, we explore the utility of 700-bp COI fragment and 678-bp period gene fragment in the identification of Sarcophagidae (Diptera). Thirty-six sarcophagid fly specimens were collected from 19 locations in 11 Chinese provinces. Phylogenetic analysis of the sequenced segments showed that all sarcophagid specimens were properly assigned into nine species with relatively strong supporting values, which indicated the possibility of separation congeneric species with COI and period gene fragments. The difference between intraspecific threshold and interspecific divergence confirmed that the combination of nuclear and mitochondrial genes for species identification is much more accurate. The results of this research will be instrumental for implementation of the Chinese Sarcophagidae database.

  15. Identification of Sphaeroma terebrans via morphology and the mitochondrial cytochrome c oxidase subunit I (COI) gene

    PubMed Central

    LI, Xiu-Feng; HAN, Chong; ZHONG, Cai-Rong; XU, Jun-Qiu; HUANG, Jian-Rong

    2016-01-01

    Sphaeroma terebrans, a wood-boring isopoda, is distributed worldwide in tropical and subtropical mangroves. The taxonomy of S. terebrans is usually based on morphological characteristics, with its molecular identification still poorly understood. The number of teeth on the uropodal exopod and the length of the propodus of the seventh pereopod are considered as the major morphological characteristics in S. terebrans, which can cause difficulty in regards to accurate identification. In this study, we identified S. terebrans via molecular and morphological data. Furthermore, the validity of the mitochondrial cytochrome c oxidase subunit I (COI) gene as a DNA barcode for the identification of genus Sphaeroma, including species S. terebrans, S. retrolaeve, and S. serratum, was examined. The mitochondrial COI gene sequences of all specimens were sequenced and analysed. The interspecific Kimura 2-parameter distances were higher than intraspecific distances and no intraspecific-interspecific distance overlaps were observed. In addition, genetic distance and nucleotide diversity (π) exhibited no differences within S. terebrans. Our results revealed that the mitochondrial COI gene can serve as a valid DNA barcode for the identification of S. terebrans. Furthermore, the number of teeth on the uropodal exopod and the length of the propodus of the seventh pereopod were found to be unreliable taxonomic characteristics for S. terebrans. PMID:27686791

  16. Identification and characterization of the lamprey IRF gene.

    PubMed

    Pang, Yue; Liu, Shuang; Zheng, Zhen; Liu, Xin; Li, Qingwei

    2015-04-01

    Interferon regulatory factors (IRFs) are named for their ability to bind to and regulate interferon genes when an organism becomes infected with a virus. Numerous studies have revealed the versatile and critical functions of IRFs. In this study, an IRF gene from Lampetra japonica was identified and analyzed using bioinformatic methods. The L. japonica IRF (Lj-IRF) shares high sequence homology with other vertebrate IRFs but low sequence homology with an ascidian IRF-like protein. We also used recombinant Lj-IRF protein (rLj-IRF) to immunize New Zealand rabbits to prepare specific anti-rLj-IRF polyclonal antibodies. Enzyme-linked immunosorbent assays (ELISAs) and Western blotting assays were performed to detect the valence and specificity of the antibody. FACS analysis revealed that the Lj-IRF protein was expressed in approximately 21.14% of leukocytes and 9.60% of supraneural body cells in L. japonica, with immunofluorescence staining indicating a cytoplasmic location. The immunohistochemistry results demonstrated that IRF is distributed in the epithelial cells of the heart, supraneural body, kidneys and gills but is not detectable in intestinals or oral gland tissues. However, the expression of IRF was upregulated in lamprey intestinal tissues upon stimulation with the rLj-HMGB1 protein. Lj-IRF gene expression levels were higher in the rLj-HMGB1-stimulated group than the control group, and the expression level of Lj-IRF was significantly increased in the intestines as determined by quantitative real-time PCR. These results provide a foundation for studying the origin and evolution of the innate immune system in lampreys.

  17. Conserved gene structures and expression signals in methanogenic archaebacteria.

    PubMed

    Allmansberger, R; Bokranz, M; Kröckel, L; Schallenberg, J; Klein, A

    1989-01-01

    A comparative analysis of cotranscribed gene clusters comprising the structural genes mcrA, mcrB, mcrC, mcrD, and mcrG was carried out in three species of methanogens. mcrA, mcrB, and mcrG are the structural genes for the three subunits of methyl coenzyme M reductase, while the two other genes encode polypeptides of unknown functions. The degree of conservation of the mcr gene products among different species of methanogens varies. No correlation was found between the conservation of the G+C contents of the homologous genes and of the amino acid sequences of their products among the different bacteria. The comparison of RNA polymerase core subunit genes of Methanobacterium thermoautotrophicum as evolutionary markers with their equivalents in Escherichia coli, Saccharomyces cerevisiae, and Drosophila melanogaster showed that homologous polypeptide domains are encoded by different numbers of genes suggesting gene fusion of adjacent genes in the course of evolution. The archaebacterial subunits exhibit much stronger homology with their eukaryotic than with their eubacterial equivalents on the polypeptide sequence level. All the analyzed genes are preceded by ribosome binding sites of eubacterial type. In addition to known putative promoter sequences, conserved structural elements of the DNA were detected surrounding the transcription initiation sites of the mcr genes.

  18. In silico identification and characterization of the WRKY gene superfamily in pepper (Capsicum annuum L.).

    PubMed

    Cheng, Y; Yao, Z P; Ruan, M Y; Ye, Q J; Wang, R Q; Zhou, G Z; Luo, J

    2016-09-23

    The WRKY family is one of the most important transcription factor families in plants, involved in the regulation of a broad range of biological roles. The recent releases of whole-genome sequences of pepper (Capsicum annuum L.) allow us to perform a genome-wide identification and characterization of the WRKY family. In this study, 61 CaWRKY proteins were identified in the pepper genome. Based on protein structural and phylogenetic analyses, these proteins were classified into four main groups (I, II, III, and NG), and Group II was further divided into five subgroups (IIa to IIe). Chromosome mapping analysis indicated that CaWRKY genes are distributed across all 12 chromosomes, although the location of four CaWRKYs (CaWRKY58-CaWRKY61) could not be identified. Two pairs of CaWRKYs located on chromosome 01 appear to be tandem duplications. Furthermore, the phylogenetic tree showed a close evolutionary relationship of WRKYs in three species from Solanaceae. In conclusion, this comprehensive analysis of CaWRKYs will provide rich resources for further functional studies in pepper.

  19. IDENTIFICATION OF BIOLOGICALLY RELEVANT GENES USING A DATABASE OF RAT LIVER AND KIDNEY BASELINE GENE EXPRESSION

    EPA Science Inventory

    Microarray data from independent labs and studies can be compared to potentially identify toxicologically and biologically relevant genes. The Baseline Animal Database working group of HESI was formed to assess baseline gene expression from microarray data derived from control or...

  20. Computational identification and analysis of MADS box genes in Camellia sinensis.

    PubMed

    Gogoi, Madhurjya; Borchetia, Sangeeta; Bandyopadhyay, Tanoy

    2015-01-01

    MADS (Minichromosome Maintenance1 Agamous Deficiens Serum response factor) box genes encode transcription factors and they play a key role in growth and development of flowering plants. There are two types of MADS box genes- Type I (serum response factor (SRF)-like) and Type II (myocyte enhancer factor 2 (MEF2)-like). Type II MADS box genes have a conserved MIKC domain (MADS DNA-binding domain, intervening domain, keratin-like domain, and c-terminal domain) and these were extensively studied in plants. Compared to other plants very little is known about MADS box genes in Camellia sinensis. The present study aims at identifying and analyzing the MADS-box genes present in Camellia sinensis. A comparative bioinformatics and phylogenetic analysis of the Camellia sinensis sequences along with Arabidopsis thaliana MADS box sequences available in the public domain databases led to the identification of 16 genes which were orthologous to Type II MADS box gene family members. The protein sequences were classified into distinct clades which are associated with the conserved function of flower and seed development. The identified genes may be used for gene expression and gene manipulation studies to elucidate their role in the development and flowering of tea which may pave the way to improve the crop productivity.

  1. Computational identification and analysis of MADS box genes in Camellia sinensis

    PubMed Central

    Gogoi, Madhurjya; Borchetia, Sangeeta; Bandyopadhyay, Tanoy

    2015-01-01

    MADS (Minichromosome Maintenance1 Agamous Deficiens Serum response factor) box genes encode transcription factors and they play a key role in growth and development of flowering plants. There are two types of MADS box genes- Type I (serum response factor (SRF)-like) and Type II (myocyte enhancer factor 2 (MEF2)-like). Type II MADS box genes have a conserved MIKC domain (MADS DNA-binding domain, intervening domain, keratin-like domain, and c-terminal domain) and these were extensively studied in plants. Compared to other plants very little is known about MADS box genes in Camellia sinensis. The present study aims at identifying and analyzing the MADS-box genes present in Camellia sinensis. A comparative bioinformatics and phylogenetic analysis of the Camellia sinensis sequences along with Arabidopsis thaliana MADS box sequences available in the public domain databases led to the identification of 16 genes which were orthologous to Type II MADS box gene family members. The protein sequences were classified into distinct clades which are associated with the conserved function of flower and seed development. The identified genes may be used for gene expression and gene manipulation studies to elucidate their role in the development and flowering of tea which may pave the way to improve the crop productivity. PMID:25914445

  2. Identification of genes regulated during mechanical load-induced cardiac hypertrophy

    NASA Technical Reports Server (NTRS)

    Johnatty, S. E.; Dyck, J. R.; Michael, L. H.; Olson, E. N.; Abdellatif, M.; Schneider, M. (Principal Investigator)

    2000-01-01

    Cardiac hypertrophy is associated with both adaptive and adverse changes in gene expression. To identify genes regulated by pressure overload, we performed suppressive subtractive hybridization between cDNA from the hearts of aortic-banded (7-day) and sham-operated mice. In parallel, we performed a subtraction between an adult and a neonatal heart, for the purpose of comparing different forms of cardiac hypertrophy. Sequencing more than 100 clones led to the identification of an array of functionally known (70%) and unknown genes (30%) that are upregulated during cardiac growth. At least nine of those genes were preferentially expressed in both the neonatal and pressure over-load hearts alike. Using Northern blot analysis to investigate whether some of the identified genes were upregulated in the load-independent calcineurin-induced cardiac hypertrophy mouse model, revealed its incomplete similarity with the former models of cardiac growth. Copyright 2000 Academic Press.

  3. Identification and characterization of Lateral Organ Boundaries Domain genes in mulberry, Morus notabilis.

    PubMed

    Luo, Yiwei; Ma, Bi; Zeng, Qiwei; Xiang, Zhonghuai; He, Ningjia

    2016-06-01

    Genes from the plant specific Lateral Organ Boundaries Domain (LBD) family encode transcriptional regulators that have a variety of functions in various physiological and developmental processes. In the present study, 31 LBD genes were identified in the mulberry genome. The genome features of all MnLBD genes and phylogenetic studies with Arabidopsis LBD protein sequences, accompanied by the expression analysis of each of the Morus LBD genes provide insights into the functional prediction of mulberry LBDs. The genome-wide surveys of the current mulberry genome have resulted in the identification of catalogs of MnLBD genes that may function in the development of leaf, root, and secondary metabolism in Morus sp.

  4. Automated identification of elemental ions in macromolecular crystal structures

    SciTech Connect

    Echols, Nathaniel Morshed, Nader; Afonine, Pavel V.; McCoy, Airlie J.; Read, Randy J.; Terwilliger, Thomas C.; Adams, Paul D.

    2014-04-01

    The solvent-picking procedure in phenix.refine has been extended and combined with Phaser anomalous substructure completion and analysis of coordination geometry to identify and place elemental ions. Many macromolecular model-building and refinement programs can automatically place solvent atoms in electron density at moderate-to-high resolution. This process frequently builds water molecules in place of elemental ions, the identification of which must be performed manually. The solvent-picking algorithms in phenix.refine have been extended to build common ions based on an analysis of the chemical environment as well as physical properties such as occupancy, B factor and anomalous scattering. The method is most effective for heavier elements such as calcium and zinc, for which a majority of sites can be placed with few false positives in a diverse test set of structures. At atomic resolution, it is observed that it can also be possible to identify tightly bound sodium and magnesium ions. A number of challenges that contribute to the difficulty of completely automating the process of structure completion are discussed.

  5. Identification, cloning, and expression of Pseudomonas aeruginosa phosphorylcholine phosphatase gene.

    PubMed

    Massimelli, María J; Beassoni, Paola R; Forrellad, Marina A; Barra, José L; Garrido, Mónica N; Domenech, Carlos E; Lisa, Angela T

    2005-05-01

    Pseudomonas aeruginosa phosphorylcholine phosphatase (PChP) is a periplasmic enzyme produced simultaneously with the hemolytic phospholipase C (PLc-H) when the bacteria are grown in the presence of choline, betaine, dimethylglycine or carnitine. Molecular analysis of the P. aeruginosa mutant JUF8-00, after Tn5-751 mutagenesis, revealed that the PA5292 gene in the P. aeruginosa PAO1 genome was responsible for the synthesis of PChP. The enzyme expressed in E. coli, rPChP-Ec, purified by a chitin-binding column (IMPACT-CN system, New England BioLabs) was homogeneous after SDS-PAGE analysis. PChP was also expressed in P. aeruginosa PAO1-LAC, rPChP-Pa. Both recombinant enzymes exhibited a molecular mass of approximately 40 kDa, as expected for the size of the PA5292 gene, and catalyzed the hydrolysis of phosphorylcholine, phosphorylethanolamine, and p-nitrophenylphosphate. The saturation curve of rPChP-Ec and rPChP-Pa by phosphorylcholine revealed that these recombinant enzymes, like the purified native PChP, also contained the high- and low-affinity sites for phosphorylcholine and that the enzyme activity was inhibited by high substrate concentration.

  6. Identification of Hematopoietic Stem Cell Engraftment Genes in Gene Therapy Studies.

    PubMed

    Powers, John M; Trobridge, Grant D

    2013-09-01

    Hematopoietic stem cell (HSC) therapy using replication-incompetent retroviral vectors is a promising approach to provide life-long correction for genetic defects. HSC gene therapy clinical studies have resulted in functional cures for several diseases, but in some studies clonal expansion or leukemia has occurred. This is due to the dyregulation of endogenous host gene expression from vector provirus insertional mutagenesis. Insertional mutagenesis screens using replicating retroviruses have been used extensively to identify genes that influence oncogenesis. However, retroviral mutagenesis screens can also be used to determine the role of genes in biological processes such as stem cell engraftment. The aim of this review is to describe the potential for vector insertion site data from gene therapy studies to provide novel insights into mechanisms of HSC engraftment. In HSC gene therapy studies dysregulation of host genes by replication-incompetent vector proviruses may lead to enrichment of repopulating clones with vector integrants near genes that influence engraftment. Thus, data from HSC gene therapy studies can be used to identify novel candidate engraftment genes. As HSC gene therapy use continues to expand, the vector insertion site data collected will be of great interest to help identify novel engraftment genes and may ultimately lead to new therapies to improve engraftment.

  7. Identification of optimal housekeeping genes for examination of gene expression in bovine corpus luteum.

    PubMed

    Rekawiecki, Robert; Rutkowska, Joanna; Kotwica, Jan

    2012-12-01

    The selection of proper housekeeping genes for studies requiring genes expression normalization is an important step in the appropriate interpretation of results. The expression of housekeeping genes is regulated by many factors including age, gender, type of tissue or disease. The aim of the study was to identify optimal housekeeping genes in the corpus luteum obtained from cyclic or pregnant cows. The mRNA expression of thirteen housekeeping genes: C2orf29, SUZ12, TBP, TUBB2B, ZNF131, HPRT1, 18s RNA, GAPDH, SF3A1, SDHA, MRPL12, B2M and ACTB was measured by Real-time PCR. Range of cycle threshold (C(t)) values of the tested genes varied between 12 and 30 cycles, and 18s RNA had the highest coefficient of variation, whereas C2orf29 had the smallest coefficient. GeNorm software demonstrated C2orf29 and TBP as the most stable and 18s RNA and B2M as the most unstable housekeeping genes. Using the proposed cut-off value (0.15), no more than two of the best GeNorm housekeeping genes are proposed to be used in studies requiring gene expression normalization. NormFinder software demonstrated C2orf29 and SUZ12 as the best and 18s RNA and B2M as the worst housekeeping genes. The study indicates that selection of housekeeping genes may essentially affect the quality of the gene expression results.

  8. Genome-wide identification and analysis of the MADS-box gene family in sesame.

    PubMed

    Wei, Xin; Wang, Linhai; Yu, Jingyin; Zhang, Yanxin; Li, Donghua; Zhang, Xiurong

    2015-09-10

    MADS-box genes encode transcription factors that play crucial roles in plant growth and development. Sesame (Sesamum indicum L.) is an oil crop that contributes to the daily oil and protein requirements of almost half of the world's population; therefore, a genome-wide analysis of the MADS-box gene family is needed. Fifty-seven MADS-box genes were identified from 14 linkage groups of the sesame genome. Analysis of phylogenetic relationships with Arabidopsis thaliana, Utricularia gibba and Solanum lycopersicum MADS-box genes was performed. Sesame MADS-box genes were clustered into four groups: 28 MIKC(c)-type, 5 MIKC(⁎)-type, 14 Mα-type and 10 Mγ-type. Gene structure analysis revealed from 1 to 22 exons of sesame MADS-box genes. The number of exons in type II MADS-box genes greatly exceeded the number in type I genes. Motif distribution analysis of sesame MADS-box genes also indicated that type II MADS-box genes contained more motifs than type I genes. These results suggested that type II sesame MADS-box genes had more complex structures. By analyzing expression profiles of MADS-box genes in seven sesame transcriptomes, we determined that MIKC(C)-type MADS-box genes played significant roles in sesame flower and seed development. Although most MADS-box genes in the same clade showed similar expression features, some gene functions were diversified from the orthologous Arabidopsis genes. This research will contribute to uncovering the role of MADS-box genes in sesame development.

  9. In Silico Identification and Comparative Genomics of Candidate Genes Involved in Biosynthesis and Accumulation of Seed Oil in Plants

    PubMed Central

    Sharma, Arti; Chauhan, Rajinder Singh

    2012-01-01

    Genes involved in fatty acids biosynthesis, modification and oil body formation are expected to be conserved in structure and function in different plant species. However, significant differences in the composition of fatty acids and total oil contents in seeds have been observed in different plant species. Comparative genomics was performed on 261 genes involved in fatty acids biosynthesis, TAG synthesis, and oil bodies formation in Arabidopsis, Brassica rapa, castor bean and soybean. In silico expression analysis revealed that stearoyl desaturase, FatB, FAD2, oleosin and DGAT are highly abundant in seeds, thereby considered as ideal candidates for mining of favorable alleles in natural population. Gene structure analysis for major genes, ACCase, FatA, FatB, FAD2, FAD3 and DGAT, which are known to play crucial role in oil synthesis revealed that there are uncommon variations (SNPs and INDELs) which lead to varying content and composition of fatty acids in seed oil. The predicted variations can provide good targets for seed oil QTL identification, understanding the molecular mechanism of seed oil accumulation, and genetic modification to enhance seed oil yield in plants. PMID:22312320

  10. Identification of the chelocardin biosynthetic gene cluster from Amycolatopsis sulphurea: a platform for producing novel tetracycline antibiotics.

    PubMed

    Lukežič, Tadeja; Lešnik, Urška; Podgoršek, Ajda; Horvat, Jaka; Polak, Tomaž; Šala, Martin; Jenko, Branko; Raspor, Peter; Herron, Paul R; Hunter, Iain S; Petković, Hrvoje

    2013-12-01

    Tetracyclines (TCs) are medically important antibiotics from the polyketide family of natural products. Chelocardin (CHD), produced by Amycolatopsis sulphurea, is a broad-spectrum tetracyclic antibiotic with potent bacteriolytic activity against a number of Gram-positive and Gram-negative multi-resistant pathogens. CHD has an unknown mode of action that is different from TCs. It has some structural features that define it as 'atypical' and, notably, is active against tetracycline-resistant pathogens. Identification and characterization of the chelocardin biosynthetic gene cluster from A. sulphurea revealed 18 putative open reading frames including a type II polyketide synthase. Compared to typical TCs, the chd cluster contains a number of features that relate to its classification as 'atypical': an additional gene for a putative two-component cyclase/aromatase that may be responsible for the different aromatization pattern, a gene for a putative aminotransferase for C-4 with the opposite stereochemistry to TCs and a gene for a putative C-9 methylase that is a unique feature of this biosynthetic cluster within the TCs. Collectively, these enzymes deliver a molecule with different aromatization of ring C that results in an unusual planar structure of the TC backbone. This is a likely contributor to its different mode of action. In addition CHD biosynthesis is primed with acetate, unlike the TCs, which are primed with malonamate, and offers a biosynthetic engineering platform that represents a unique opportunity for efficient generation of novel tetracyclic backbones using combinatorial biosynthesis.

  11. Identification, classification, and partial characterization of genes in humans and other vertebrates homologous to a fish membrane progestin receptor

    PubMed Central

    Zhu, Yong; Bond, Jason; Thomas, Peter

    2003-01-01

    Recently we discovered a previously uncharacterized gene with the characteristics of a membrane progestin receptor (mPR) in a fish model, spotted seatrout. Here, we report the identification, cloning, and characteristics of other members of this hitherto unknown family of putative mPRs from several vertebrate species, including human, mouse, pig, Xenopus, zebrafish, and Fugu, with highly conserved nucleotide and deduced amino acid sequences and similar structures to the spotted seatrout mPR. The 13 vertebrate genes identified seem to belong to an unknown gene family. Phylogenetic analysis indicates these cDNAs comprise three distinct groups (named α, β, and γ) within this gene family. Structural analyses of the translated cDNAs suggest they encode membrane proteins with seven transmembrane domains. The transcript sizes of the human α, β, and γ putative mPR mRNAs varied from 2.8 to 5.8 kb and showed distinct distributions in reproductive, neural, kidney and intestinal tissues, respectively. Recombinant human α, γ, and mouse β proteins produced in an Escherichia coli expression system demonstrated high affinity (Kd = 20–30 nM) saturable binding for progesterone. Further analysis of binding to the γ-subtype revealed binding was specific for progestins and was displaceable, with rapid rates of association and dissociation (t1/2 = 2–8 min). These results suggest this is a new family of steroid receptors unrelated to nuclear steroid receptors, but instead having characteristics of G protein-coupled receptors. PMID:12601167

  12. Identification of cancer-related genes and motifs in the human gene regulatory network.

    PubMed

    Carson, Matthew B; Gu, Jianlei; Yu, Guangjun; Lu, Hui

    2015-08-01

    The authors investigated the regulatory network motifs and corresponding motif positions of cancer-related genes. First, they mapped disease-related genes to a transcription factor regulatory network. Next, they calculated statistically significant motifs and subsequently identified positions within these motifs that were enriched in cancer-related genes. Potential mechanisms of these motifs and positions are discussed. These results could be used to identify other disease- and cancer-related genes and could also suggest mechanisms for how these genes relate to co-occurring diseases.

  13. Identification of two aflatrem biosynthesis gene loci in Aspergillus flavus and metabolic engineering of Penicillium paxilli to elucidate their function.

    PubMed

    Nicholson, Matthew J; Koulman, Albert; Monahan, Brendon J; Pritchard, Beth L; Payne, Gary A; Scott, Barry

    2009-12-01

    Aflatrem is a potent tremorgenic toxin produced by the soil fungus Aspergillus flavus, and a member of a structurally diverse group of fungal secondary metabolites known as indole-diterpenes. Gene clusters for indole-diterpene biosynthesis have recently been described in several species of filamentous fungi. A search of Aspergillus complete genome sequence data identified putative aflatrem gene clusters in the genomes of A. flavus and Aspergillus oryzae. In both species the genes for aflatrem biosynthesis cluster at two discrete loci; the first, ATM1, is telomere proximal on chromosome 5 and contains a cluster of three genes, atmG, atmC, and atmM, and the second, ATM2, is telomere distal on chromosome 7 and contains five genes, atmD, atmQ, atmB, atmA, and atmP. Reverse transcriptase PCR in A. flavus demonstrated that aflatrem biosynthesis transcript levels increased with the onset of aflatrem production. Transfer of atmP and atmQ into Penicillium paxilli paxP and paxQ deletion mutants, known to accumulate paxilline intermediates paspaline and 13-desoxypaxilline, respectively, showed that AtmP is a functional homolog of PaxP and that AtmQ utilizes 13-desoxypaxilline as a substrate to synthesize aflatrem pathway-specific intermediates, paspalicine and paspalinine. We propose a scheme for aflatrem biosynthesis in A. flavus based on these reconstitution experiments in P. paxilli and identification of putative intermediates in wild-type cultures of A. flavus.

  14. ThioFinder: a web-based tool for the identification of thiopeptide gene clusters in DNA sequences.

    PubMed

    Li, Jing; Qu, Xudong; He, Xinyi; Duan, Lian; Wu, Guojun; Bi, Dexi; Deng, Zixin; Liu, Wen; Ou, Hong-Yu

    2012-01-01

    Thiopeptides are a growing class of sulfur-rich, highly modified heterocyclic peptides that are mainly active against Gram-positive bacteria including various drug-resistant pathogens. Recent studies also reveal that many thiopeptides inhibit the proliferation of human cancer cells, further expanding their application potentials for clinical use. Thiopeptide biosynthesis shares a common paradigm, featuring a ribosomally synthesized precursor peptide and conserved posttranslational modifications, to afford a characteristic core system, but differs in tailoring to furnish individual members. Identification of new thiopeptide gene clusters, by taking advantage of increasing information of DNA sequences from bacteria, may facilitate new thiopeptide discovery and enrichment of the unique biosynthetic elements to produce novel drug leads by applying the principle of combinatorial biosynthesis. In this study, we have developed a web-based tool ThioFinder to rapidly identify thiopeptide biosynthetic gene cluster from DNA sequence using a profile Hidden Markov Model approach. Fifty-four new putative thiopeptide biosynthetic gene clusters were found in the sequenced bacterial genomes of previously unknown producing microorganisms. ThioFinder is fully supported by an open-access database ThioBase, which contains the sufficient information of the 99 known thiopeptides regarding the chemical structure, biological activity, producing organism, and biosynthetic gene (cluster) along with the associated genome if available. The ThioFinder website offers researchers a unique resource and great flexibility for sequence analysis of thiopeptide biosynthetic gene clusters. ThioFinder is freely available at http://db-mml.sjtu.edu.cn/ThioFinder/.

  15. Identification of the dnaA and dnaN gene products of Escherichia coli.

    PubMed

    Yuasa, S; Sakakibara, Y

    1980-01-01

    A specialized transducing lambda phage carrying the dnaN genes of Escherichia coli specifies two proteins of about 41 and 48 kilodaltons (kd). The temperature-sensitive mutations, dnaN59 and dnaA167, were found to result in altered isoelectric points of the 41 and 48 kd proteins, respectively. Thus the dnaN gene product was identified as a weakly acidic 41 and 48 kd protein. The synthesis of the dnaN gene product is greatly reduced by insertion of a transposon Tn3 in the dnaA gene and by deletion in the gene at the distal end to the dnaN gene. Temperature-sensitive dnaA mutations, on the dnaN gene product. These results indicate that the synthesis of the dnaN gene product is dependent on the structural integrity of the dnaA gene.

  16. Shortening tobacco life cycle accelerates functional gene identification in genomic research.

    PubMed

    Ning, G; Xiao, X; Lv, H; Li, X; Zuo, Y; Bao, M

    2012-11-01

    Definitive allocation of function requires the introduction of genetic mutations and analysis of their phenotypic consequences. Novel, rapid and convenient techniques or materials are very important and useful to accelerate gene identification in functional genomics research. Here, over-expression of PmFT (Prunus mume), a novel FT orthologue, and PtFT (Populus tremula) lead to shortening of the tobacco life cycle. A series of novel short life cycle stable tobacco lines (30-50 days) were developed through repeated self-crossing selection breeding. Based on the second transformation via a gusA reporter gene, the promoter from BpFULL1 in silver birch (Betula pendula) and the gene (CPC) from Arabidopsis thaliana were effectively tested using short life cycle tobacco lines. Comparative analysis among wild type, short life cycle tobacco and Arabidopsis transformation system verified that it is optional to accelerate functional gene studies by shortening host plant material life cycle, at least in these short life cycle tobacco lines. The results verified that the novel short life cycle transgenic tobacco lines not only combine the advantages of economic nursery requirements and a simple transformation system, but also provide a robust, effective and stable host system to accelerate gene analysis. Thus, shortening tobacco life cycle strategy is feasible to accelerate heterologous or homologous functional gene identification in genomic research.

  17. Challenges and solutions for gene identification in the presence of familial locus heterogeneity

    PubMed Central

    Rehman, Atteeq U; Santos-Cortez, Regie Lyn P; Drummond, Meghan C; Shahzad, Mohsin; Lee, Kwanghyuk; Morell, Robert J; Ansar, Muhammad; Jan, Abid; Wang, Xin; Aziz, Abdul; Riazuddin, Saima; Smith, Joshua D; Wang, Gao T; Ahmed, Zubair M; Gul, Khitab; Shearer, A Eliot; Smith, Richard J H; Shendure, Jay; Bamshad, Michael J; Nickerson, Deborah A; Hinnant, John; Khan, Shaheen N; Fisher, Rachel A; Ahmad, Wasim; Friderici, Karen H; Riazuddin, Sheikh; Friedman, Thomas B; Wilch, Ellen S; Leal, Suzanne M

    2015-01-01

    Next-generation sequencing (NGS) of exomes and genomes has accelerated the identification of genes involved in Mendelian phenotypes. However, many NGS studies fall short of identifying causal variants, with estimates for success rates as low as 25% for uncovering the pathological variant underlying disease etiology. An important reason for such failures is familial locus heterogeneity, where within a single pedigree causal variants in two or more genes underlie Mendelian trait etiology. As examples of intra- and inter-sibship familial locus heterogeneity, we present 10 consanguineous Pakistani families segregating hearing impairment due to homozygous variants in two different hearing impairment genes and a European-American pedigree in which hearing impairment is caused by four variants in three different genes. We have identified 41 additional pedigrees with syndromic and nonsyndromic hearing impairment for which a single previously reported hearing impairment gene has been identified but only segregates with the phenotype in a subset of affected pedigree members. We estimate that locus heterogeneity occurs in 15.3% (95% confidence interval: 11.9%, 19.9%) of the families in our collection. We demonstrate novel approaches to apply linkage analysis and homozygosity mapping (for autosomal recessive consanguineous pedigrees), which can be used to detect locus heterogeneity using either NGS or SNP array data. Results from linkage analysis and homozygosity mapping can also be used to group sibships or individuals most likely to be segregating the same causal variants and thereby increase the success rate of gene identification. PMID:25491636

  18. Proceedings of the Workshop on Identification and Control of Flexible Space Structures, volume 1

    NASA Technical Reports Server (NTRS)

    Rodriguez, G. (Editor)

    1985-01-01

    Identification and control of flexible space structures were studied. Exploration of the most advanced modeling estimation, identification and control methodologies to flexible space structures was discussed. The following general areas were discussed: space platforms, antennas, and flight experiments; control/structure interactions - modeling, integrated design and optimization, control and stabilization, and shape control; control technology; control of space stations; large antenna control, dynamics and control experiments, and control/structure interaction experiments.

  19. Behavioral pattern identification for structural health monitoring in complex systems

    NASA Astrophysics Data System (ADS)

    Gupta, Shalabh

    Estimation of structural damage and quantification of structural integrity are critical for safe and reliable operation of human-engineered complex systems, such as electromechanical, thermofluid, and petrochemical systems. Damage due to fatigue crack is one of the most commonly encountered sources of structural degradation in mechanical systems. Early detection of fatigue damage is essential because the resulting structural degradation could potentially cause catastrophic failures, leading to loss of expensive equipment and human life. Therefore, for reliable operation and enhanced availability, it is necessary to develop capabilities for prognosis and estimation of impending failures, such as the onset of wide-spread fatigue crack damage in mechanical structures. This dissertation presents information-based online sensing of fatigue damage using the analytical tools of symbolic time series analysis ( STSA). Anomaly detection using STSA is a pattern recognition method that has been recently developed based upon a fixed-structure, fixed-order Markov chain. The analysis procedure is built upon the principles of Symbolic Dynamics, Information Theory and Statistical Pattern Recognition. The dissertation demonstrates real-time fatigue damage monitoring based on time series data of ultrasonic signals. Statistical pattern changes are measured using STSA to monitor the evolution of fatigue damage. Real-time anomaly detection is presented as a solution to the forward (analysis) problem and the inverse (synthesis) problem. (1) the forward problem - The primary objective of the forward problem is identification of the statistical changes in the time series data of ultrasonic signals due to gradual evolution of fatigue damage. (2) the inverse problem - The objective of the inverse problem is to infer the anomalies from the observed time series data in real time based on the statistical information generated during the forward problem. A computer-controlled special

  20. p63 gene structure in the phylum mollusca.

    PubMed

    Baričević, Ana; Štifanić, Mauro; Hamer, Bojan; Batel, Renato

    2015-08-01

    Roles of p53 family ancestor (p63) in the organisms' response to stressful environmental conditions (mainly pollution) have been studied among molluscs, especially in the genus Mytilus, within the last 15 years. Nevertheless, information about gene structure of this regulatory gene in molluscs is scarce. Here we report the first complete genomic structure of the p53 family orthologue in the mollusc Mediterranean mussel Mytilus galloprovincialis and confirm its similarity to vertebrate p63 gene. Our searches within the available molluscan genomes (Aplysia californica, Lottia gigantea, Crassostrea gigas and Biomphalaria glabrata), found only one p53 family member present in a single copy per haploid genome. Comparative analysis of those orthologues, additionally confirmed the conserved p63 gene structure. Conserved p63 gene structure can be a helpful tool to complement or/and revise gene annotations of any future p63 genomic sequence records in molluscs, but also in other animal phyla. Knowledge of the correct gene structure will enable better prediction of possible protein isoforms and their functions. Our analyses also pointed out possible mis-annotations of the p63 gene in sequenced molluscan genomes and stressed the value of manual inspection (based on alignments of cDNA and protein onto the genome sequence) for a reliable and complete gene annotation.

  1. Expansion and orthogonalization of measured modes for structure identification

    NASA Technical Reports Server (NTRS)

    Smith, Suzanne Weaver

    1989-01-01

    The purpose was to investigate a new simultaneous expansion/orthogonalization method in comparison with two previously published expansion methods and a widely used orthogonalization technique. Each expansion method uses data from an analytical model of the structure to complete the estimate of the mode shape vectors. Berman and Nagy used Guyan expansion in their work with improving analytical models. In this method, modes are expanded one at a time, producing a set not orthogonal with respect to the mass matrix. Baruch and Bar Itzhack's optimal orthogonalization procedure was used to subsequently adjust the expanded modes. A second expansion technique was presented by O'Callahan, Avitabile, and Reimer and separately by Kammer. Again, modes are expanded individually and orthogonalized after expansion with the same optimal technique as above. Finally, a simultaneous expansion/orthogonalization method was developed from the orthogonal Procrustes problem of computational mathematics. In this method modes are optimally expanded as a set and orthogonal with respect to the mass matrix as a result. Two demonstation problems were selected for the comparison of the methods described. The first problem is an 8 degree of freedom spring-mass problem first presented by Kabe. Several conditions were examined for expansion method including the presence of errors in the measured data and in the analysis models. As a second demonstration problem, data from tests of laboratory scale model truss structures was expanded for system identification. Tests with a complete structure produced a correlated analysis model and the stiffness and mass matrices. Tests of various damaged configurations produced measured data for 6 modes at 14 dof locations.

  2. Integrated identification and robust control tuning for large space structures

    NASA Technical Reports Server (NTRS)

    Yam, Y.; Bayard, D. S.; Scheid, R. E.

    1990-01-01

    System identification is studied for the explicit purpose of supporting modern H-infinity robust control design objectives. In the analysis, the true plant is not assumed to be in the identification model set. An integrated identification/robust control problem is posed in which the optimal solution guarantees the best robust performance relative to the system information contained in a given experimental data set. A numerical example demonstrating an approximate solution to the problem indicates the usefulness of the approach.

  3. Identification of lethal cluster of genes in the yeast transcription network

    NASA Astrophysics Data System (ADS)

    Rho, K.; Jeong, H.; Kahng, B.

    2006-05-01

    Identification of essential or lethal genes would be one of the ultimate goals in drug designs. Here we introduce an in silico method to select the cluster with a high population of lethal genes, called lethal cluster, through microarray assay. We construct a gene transcription network based on the microarray expression level. Links are added one by one in the descending order of the Pearson correlation coefficients between two genes. As the link density p increases, two meaningful link densities pm and ps are observed. At pm, which is smaller than the percolation threshold, the number of disconnected clusters is maximum, and the lethal genes are highly concentrated in a certain cluster that needs to be identified. Thus the deletion of all genes in that cluster could efficiently lead to a lethal inviable mutant. This lethal cluster can be identified by an in silico method. As p increases further beyond the percolation threshold, the power law behavior in the degree distribution of a giant cluster appears at ps. We measure the degree of each gene at ps. With the information pertaining to the degrees of each gene at ps, we return to the point pm and calculate the mean degree of genes of each cluster. We find that the lethal cluster has the largest mean degree.

  4. An Eye on Trafficking Genes: Identification of Four Eye Color Mutations in Drosophila

    PubMed Central

    Grant, Paaqua; Maga, Tara; Loshakov, Anna; Singhal, Rishi; Wali, Aminah; Nwankwo, Jennifer; Baron, Kaitlin; Johnson, Diana

    2016-01-01

    Genes that code for proteins involved in organelle biogenesis and intracellular trafficking produce products that are critical in normal cell function . Conserved orthologs of these are present in most or all eukaryotes, including Drosophila melanogaster. Some of these genes were originally identified as eye color mutants with decreases in both types of pigments found in the fly eye. These criteria were used for identification of such genes, four eye color mutations that are not annotated in the genome sequence: chocolate, maroon, mahogany, and red Malpighian tubules were molecularly mapped and their genome sequences have been evaluated. Mapping was performed using deletion analysis and complementation tests. chocolate is an allele of the VhaAC39-1 gene, which is an ortholog of the Vacuolar H+ ATPase AC39 subunit 1. maroon corresponds to the Vps16A gene and its product is part of the HOPS complex, which participates in transport and organelle fusion. red Malpighian tubule is the CG12207 gene, which encodes a protein of unknown function that includes a LysM domain. mahogany is the CG13646 gene, which is predicted to be an amino acid transporter. The strategy of identifying eye color genes based on perturbations in quantities of both types of eye color pigments has proven useful in identifying proteins involved in trafficking and biogenesis of lysosome-related organelles. Mutants of these genes can form the basis of valuable in vivo models to understand these processes. PMID:27558665

  5. Identification of Reference Genes for RT-qPCR Data Normalization in Cannabis sativa Stem Tissues

    PubMed Central

    Mangeot-Peter, Lauralie; Legay, Sylvain; Hausman, Jean-Francois; Esposito, Sergio; Guerriero, Gea

    2016-01-01

    Gene expression profiling via quantitative real-time PCR is a robust technique widely used in the life sciences to compare gene expression patterns in, e.g., different tissues, growth conditions, or after specific treatments. In the field of plant science, real-time PCR is the gold standard to study the dynamics of gene expression and is used to validate the results generated with high throughput techniques, e.g., RNA-Seq. An accurate relative quantification of gene expression relies on the identification of appropriate reference genes, that need to be determined for each experimental set-up used and plant tissue studied. Here, we identify suitable reference genes for expression profiling in stems of textile hemp (Cannabis sativa L.), whose tissues (isolated bast fibres and core) are characterized by remarkable differences in cell wall composition. We additionally validate the reference genes by analysing the expression of putative candidates involved in the non-oxidative phase of the pentose phosphate pathway and in the first step of the shikimate pathway. The goal is to describe the possible regulation pattern of some genes involved in the provision of the precursors needed for lignin biosynthesis in the different hemp stem tissues. The results here shown are useful to design future studies focused on gene expression analyses in hemp. PMID:27649158

  6. Genome-wide identification and characterization of the Dof gene family in Medicago truncatula.

    PubMed

    Shu, Y J; Song, L L; Zhang, J; Liu, Y; Guo, C H

    2015-09-09

    The DNA-binding one zinc finger (Dof) family is a classic plant-specific zinc-finger transcription factor family, which is involved in many important processes, including seed maturation and germination, plant growth and development, and light responses. Investigation of the Medicago truncatula genome revealed 42 putative Dof genes, each of which holds one Dof domain. These genes were classified into four groups based on phylogenetic analysis, which are similar to the groups reported for Arabidopsis and rice. Based on genome duplication analysis, it was found that the MtDof genes were distributed on all chromosomes and had expanded through tandem gene duplication and segmental duplication events. Two main duplication regions were identified, one from tandem duplication and another from segmental duplication. By analyzing high-throughput sequencing data from M. truncatula, we found that most of the MtDof genes showed specific expression patterns in different tissues. According to cis-regulatory element analysis, these MtDof genes are regulated by different cis-acting motifs, which are important for the functional divergence of the MtDof genes in different processes. Thus, using genome-wide identification, evolution, and expression pattern analysis of the Dof genes in M. truncatula, our study provides valuable information for understanding the potential function of the Dof genes in regulating the growth and development of M. truncatula.

  7. An Eye on Trafficking Genes: Identification of Four Eye Color Mutations in Drosophila.

    PubMed

    Grant, Paaqua; Maga, Tara; Loshakov, Anna; Singhal, Rishi; Wali, Aminah; Nwankwo, Jennifer; Baron, Kaitlin; Johnson, Diana

    2016-10-13

    Genes that code for proteins involved in organelle biogenesis and intracellular trafficking produce products that are critical in normal cell function . Conserved orthologs of these are present in most or all eukaryotes, including Drosophila melanogaster Some of these genes were originally identified as eye color mutants with decreases in both types of pigments found in the fly eye. These criteria were used for identification of such genes, four eye color mutations that are not annotated in the genome sequence: chocolate, maroon, mahogany, and red Malpighian tubules were molecularly mapped and their genome sequences have been evaluated. Mapping was performed using deletion analysis and complementation tests. chocolate is an allele of the VhaAC39-1 gene, which is an ortholog of the Vacuolar H(+) ATPase AC39 subunit 1. maroon corresponds to the Vps16A gene and its product is part of the HOPS complex, which participates in transport and organelle fusion. red Malpighian tubule is the CG12207 gene, which encodes a protein of unknown function that includes a LysM domain. mahogany is the CG13646 gene, which is predicted to be an amino acid transporter. The strategy of identifying eye color genes based on perturbations in quantities of both types of eye color pigments has proven useful in identifying proteins involved in trafficking and biogenesis of lysosome-related organelles. Mutants of these genes can form the basis of valuable in vivo models to understand these processes.

  8. Classification of Genes and Putative Biomarker Identification Using Distribution Metrics on Expression Profiles

    PubMed Central

    Huang, Hung-Chung; Jupiter, Daniel; VanBuren, Vincent

    2010-01-01

    Background Identification of genes with switch-like properties will facilitate discovery of regulatory mechanisms that underlie these properties, and will provide knowledge for the appropriate application of Boolean networks in gene regulatory models. As switch-like behavior is likely associated with tissue-specific expression, these gene products are expected to be plausible candidates as tissue-specific biomarkers. Methodology/Principal Findings In a systematic classification of genes and search for biomarkers, gene expression profiles (GEPs) of more than 16,000 genes from 2,145 mouse array samples were analyzed. Four distribution metrics (mean, standard deviation, kurtosis and skewness) were used to classify GEPs into four categories: predominantly-off, predominantly-on, graded (rheostatic), and switch-like genes. The arrays under study were also grouped and examined by tissue type. For example, arrays were categorized as ‘brain group’ and ‘non-brain group’; the Kolmogorov-Smirnov distance and Pearson correlation coefficient were then used to compare GEPs between brain and non-brain for each gene. We were thus able to identify tissue-specific biomarker candidate genes. Conclusions/Significance The methodology employed here may be used to facilitate disease-specific biomarker discovery. PMID:20140228

  9. Evolutionary and Topological Properties of Genes and Community Structures in Human Gene Regulatory Networks

    PubMed Central

    Szedlak, Anthony; Smith, Nicholas; Liu, Li; Paternostro, Giovanni; Piermarocchi, Carlo

    2016-01-01

    The diverse, specialized genes present in today’s lifeforms evolved from a common core of ancient, elementary genes. However, these genes did not evolve individually: gene expression is controlled by a complex network of interactions, and alterations in one gene may drive reciprocal changes in its proteins’ binding partners. Like many complex networks, these gene regulatory networks (GRNs) are composed of communities, or clusters of genes with relatively high connectivity. A deep understanding of the relationship between the evolutionary history of single genes and the topological properties of the underlying GRN is integral to evolutionary genetics. Here, we show that the topological properties of an acute myeloid leukemia GRN and a general human GRN are strongly coupled with its genes’ evolutionary properties. Slowly evolving (“cold”), old genes tend to interact with each other, as do rapidly evolving (“hot”), young genes. This naturally causes genes to segregate into community structures with relatively homogeneous evolutionary histories. We argue that gene duplication placed old, cold genes and communities at the center of the networks, and young, hot genes and communities at the periphery. We demonstrate this with single-node centrality measures and two new measures of efficiency, the set efficiency and the interset efficiency. We conclude that these methods for studying the relationships between a GRN’s community structures and its genes’ evolutionary properties provide new perspectives for understanding evolutionary genetics. PMID:27359334

  10. Identification of reference genes in human myelomonocytic cells for gene expression studies in altered gravity.

    PubMed

    Thiel, Cora S; Hauschild, Swantje; Tauber, Svantje; Paulsen, Katrin; Raig, Christiane; Raem, Arnold; Biskup, Josefine; Gutewort, Annett; Hürlimann, Eva; Unverdorben, Felix; Buttron, Isabell; Lauber, Beatrice; Philpot, Claudia; Lier, Hartwin; Engelmann, Frank; Layer, Liliana E; Ullrich, Oliver

    2015-01-01

    Gene expression studies are indispensable for investigation and elucidation of molecular mechanisms. For the process of normalization, reference genes ("housekeeping genes") are essential to verify gene expression analysis. Thus, it is assumed that these reference genes demonstrate similar expression levels over all experimental conditions. However, common recommendations about reference genes were established during 1 g conditions and therefore their applicability in studies with altered gravity has not been demonstrated yet. The microarray technology is frequently used to generate expression profiles under defined conditions and to determine the relative difference in expression levels between two or more different states. In our study, we searched for potential reference genes with stable expression during different gravitational conditions (microgravity, normogravity, and hypergravity) which are additionally not altered in different hardware systems. We were able to identify eight genes (ALB, B4GALT6, GAPDH, HMBS, YWHAZ, ABCA5, ABCA9, and ABCC1) which demonstrated no altered gene expression levels in all tested conditions and therefore represent good candidates for the standardization of gene expression studies in altered gravity.

  11. Identification of feature genes for smoking-related lung adenocarcinoma based on gene expression profile data

    PubMed Central

    Liu, Ying; Ni, Ran; Zhang, Hui; Miao, Lijun; Wang, Jing; Jia, Wenqing; Wang, Yuanyuan

    2016-01-01

    This study aimed to identify the genes and pathways associated with smoking-related lung adenocarcinoma. Three lung adenocarcinoma associated datasets (GSE43458, GSE10072, and GSE50081), the subjects of which included smokers and nonsmokers, were downloaded to screen the differentially expressed feature genes between smokers and nonsmokers. Based on the identified feature genes, we constructed the protein–protein interaction (PPI) network and optimized feature genes using closeness centrality (CC) algorithm. Then, the support vector machine (SVM) classification model was constructed based on the feature genes with higher CC values. Finally, pathway enrichment analysis of the feature genes was performed. A total of 213 down-regulated and 83 up-regulated differentially expressed genes were identified. In the constructed PPI network, the top ten nodes with higher degrees and CC values included ANK3, EPHA4, FGFR2, etc. The SVM classifier was constructed with 27 feature genes, which could accurately identify smokers and nonsmokers. Pathways enrichment analysis for the 27 feature genes revealed that they were significantly enriched in five pathways, including proteoglycans in cancer (EGFR, SDC4, SDC2, etc.), and Ras signaling pathway (FGFR2, PLA2G1B, EGFR, etc.). The 27 feature genes, such as EPHA4, FGFR2, and EGFR for SVM classifier construction and cancer-related pathways of Ras signaling pathway and proteoglycans in cancer may play key roles in the progression and development of smoking-related lung adenocarcinoma. PMID:27994470

  12. Identification and functional analysis of AG1-IA specific genes of Rhizoctonia solani.

    PubMed

    Ghosh, Srayan; Gupta, Santosh Kumar; Jha, Gopaljee

    2014-11-01

    Rhizoctonia solani is an important necrotrophic fungal pathogen which causes disease on diverse plant species. It has been classified into 14 genetically distinct anastomosis groups (AGs), however, very little is known about their genomic diversity. AG1-IA causes sheath blight disease in rice and controlling this disease remains a challenge for sustainable rice cultivation. Recently the draft genome sequences of AG1-IA (rice isolate) and AG1-IB (lettuce isolate) had become publicly available. In this study, using comparative genomics, we report identification of 3,942 R. solani genes that are uniquely present in AG1-IA. Many of these genes encode important biological, molecular functions and exhibit dynamic expression during in-planta growth of the pathogen in rice. Based upon sequence similarity with genes that are required for plant and human/zoonotic diseases, we identified several putative virulence/pathogenicity determinants amongst AG1-IA specific genes. While studying the expression of 19 randomly selected genes, we identified three genes highly up-regulated during in-planta growth. The detailed in silico characterization of these genes and extent of their up-regulation in different rice genotypes, having variable degree of disease susceptibility, suggests their importance in rice-Rhizoctonia interactions. In summary, the present study reports identification, functional characterization of AG1-IA specific genes and predicts important virulence determinants that might enable the pathogen to grow inside hostile plant environment. Further characterization of these genes would shed useful insights about the pathogenicity mechanism of AG1-IA on rice.

  13. Identification QTLs Controlling Genes for Se Uptake in Lentil Seeds

    PubMed Central

    Ates, Duygu; Sever, Tugce; Aldemir, Secil; Yagmur, Bulent; Temel, Hulya Yilmaz; Kaya, Hilal Betul; Alsaleh, Ahmad; Kahraman, Abdullah; Ozkan, Hakan; Vandenberg, Albert; Tanyolac, Bahattin

    2016-01-01

    Lentil (Lens culinaris Medik.) is an excellent source of protein and carbohydrates and is also rich in essential trace elements for the human diet. Selenium (Se) is an essential micronutrient for human health and nutrition, providing protection against several diseases and regulating important biological systems. Dietary intake of 55 μg of Se per day is recommended for adults, with inadequate Se intake causing significant health problems. The objective of this study was to identify and map quantitative trait loci (QTL) of genes controlling Se accumulation in lentil seeds using a population of 96 recombinant inbred lines (RILs) developed from the cross “PI 320937” × “Eston” grown in three different environments for two years (2012 and 2013). Se concentration in seed varied between 119 and 883 μg/kg. A linkage map consisting of 1,784 markers (4 SSRs, and 1,780 SNPs) was developed. The map spanned a total length of 4,060.6 cM, consisting of 7 linkage groups (LGs) with an average distance of 2.3 cM between adjacent markers. Four QTL regions and 36 putative QTL markers, with LOD scores ranging from 3.00 to 4.97, distributed across two linkage groups (LG2 and LG5) were associated with seed Se concentration, explaining 6.3–16.9% of the phenotypic variation. PMID:26978666

  14. Tenebrio molitor antifreeze protein gene identification and regulation.

    PubMed

    Qin, Wensheng; Walker, Virginia K

    2006-02-15

    The yellow mealworm, Tenebrio molitor, is a freeze susceptible, stored product pest. Its winter survival is facilitated by the accumulation of antifreeze proteins (AFPs), encoded by a small gene family. We have now isolated 11 different AFP genomic clones from 3 genomic libraries. All the clones had a single coding sequence, with no evidence of intervening sequences. Three genomic clones were further characterized. All have putative TATA box sequences upstream of the coding regions and multiple potential poly(A) signal sequences downstream of the coding regions. A TmAFP regulatory region, B1037, conferred transcriptional activity when ligated to a luciferase reporter sequence and after transfection into an insect cell line. A 143 bp core promoter including a TATA box sequence was identified. Its promoter activity was increased 4.4 times by inserting an exotic 245 bp intron into the construct, similar to the enhancement of transgenic expression seen in several other systems. The addition of a duplication of the first 120 bp sequence from the 143 bp core promoter decreased promoter activity by half. Although putative hormonal response sequences were identified, none of the five hormones tested enhanced reporter activity. These studies on the mechanisms of AFP transcriptional control are important for the consideration of any transfer of freeze-resistance phenotypes to beneficial hosts.

  15. Gene structure, chromosomal localization, and expression pattern of Capn12, a new member of the calpain large subunit gene family.

    PubMed

    Dear, T N; Meier, N T; Hunn, M; Boehm, T

    2000-09-01

    We report the identification of mouse Capn12, a new member of the calpain large subunit gene family. It possesses potential protease and calcium-binding domains, features typical of the classical calpains. In situ hybridization and Northern blot analysis demonstrate that during the anagen phase of the hair cycle the cortex of the hair follicle is the major expression site of Capn12. The gene was sequenced in its entirety and consists of 21 exons spanning 13 kb with an exon-intron structure typical of the calpain gene family. The last exon of the mouse Actn4 gene overlaps the 3' end of Capn12 but in the opposite orientation. This overlap between the two genes is conserved in the human genome. Three versions of the Capn12 mRNA transcript were identified. They occur as a result of alternative splicing, and two of these encode a protein lacking the C-terminal calmodulin-like domain. Radiation hybrid mapping localized Capn12 to mouse chromosome 7, closely linked to a marker positioned at 10.4 cM. Refined mapping of Capn5, also previously localized to chromosome 7, indicated that it was not closely linked to Capn12, mapping tightly linked to a marker positioned at 48.5 cM.

  16. Genome-wide identification of membrane-bound fatty acid desaturase genes in Gossypium hirsutum and their expressions during abiotic stress

    PubMed Central

    Feng, Jiyu; Dong, Yating; Liu, Wei; He, Qiuling; Daud, M. K.; Chen, Jinhong; Zhu, Shuijin

    2017-01-01

    Membrane-bound fatty acid desaturases (FADs) are of great importance and play multiple roles in plant growth and development. In the present study, 39 full-length FAD genes, based on database searches, were identified in tetraploid upland cotton (Gossypium hirsutum L.) and were phylogenetically clustered into four subfamilies. Genomic localization revealed that 34 genes were mapped on 22 chromosomes, and five genes were positioned on the scaffold sequences. The FAD genes of G. hirsutum in the same subfamily had similar gene structures. The structures of paralogous genes were considerably conserved in exons number and introns length. It was suggested that the FAD gene families in G. hirsutum might be duplicated mainly by segmental duplication. Moreover, the FAD genes were differentially expressed in different G. hirsutum tissues in response to different levels of salt and cold stresses, as determined by qRT-PCR analysis. The identification and functional analysis of FAD genes in G. hirsutum may provide more candidate genes for genetic modification. PMID:28374822

  17. Identification of Reference Genes in Human Myelomonocytic Cells for Gene Expression Studies in Altered Gravity

    PubMed Central

    Thiel, Cora S.; Hauschild, Swantje; Tauber, Svantje; Paulsen, Katrin; Raig, Christiane; Raem, Arnold; Biskup, Josefine; Gutewort, Annett; Hürlimann, Eva; Philpot, Claudia; Lier, Hartwin; Engelmann, Frank; Layer, Liliana E.

    2015-01-01

    Gene expression studies are indispensable for investigation and elucidation of molecular mechanisms. For the process of normalization, reference genes (“housekeeping genes”) are essential to verify gene expression analysis. Thus, it is assumed that these reference genes demonstrate similar expression levels over all experimental conditions. However, common recommendations about reference genes were established during 1 g conditions and therefore their applicability in studies with altered gravity has not been demonstrated yet. The microarray technology is frequently used to generate expression profiles under defined conditions and to determine the relative difference in expression levels between two or more different states. In our study, we searched for potential reference genes with stable expression during different gravitational conditions (microgravity, normogravity, and hypergravity) which are additionally not altered in different hardware systems. We were able to identify eight genes (ALB, B4GALT6, GAPDH, HMBS, YWHAZ, ABCA5, ABCA9, and ABCC1) which demonstrated no altered gene expression levels in all tested conditions and therefore represent good candidates for the standardization of gene expression studies in altered gravity. PMID:25654098

  18. Identification of housekeeping genes suitable for gene expression analysis in Jian carp (Cyprinus carpio var. jian).

    PubMed

    Tang, Yong-kai; Yu, Ju-hua; Xu, Pao; Li, Jian-lin; Li, Hong-xia; Ren, Hong-tao

    2012-10-01

    Jian carp (Cyprinus carpio var. jian) is an important economic fish species cultured in China. In this report, we performed a systematic analysis to identify an appropriate housekeeping (HK) gene for the study of gene expression in Jian carp. For this purpose, partial DNA sequences of four potential candidate genes (elongation factor 1 alpha (EF-1α), glyceraldehyde-3-phosphate (GAPDH), beta-actin (ACTB), and 18S ribosomal RNA (18S rRNA) were isolated, and their expression levels were studied using RNA extracted from nine tissues (forebrain, hypothalamus, liver, fore-intestine, hind-intestine, ovary, muscle, heart, kidney) in juvenile and adult Jian carp. Gene expression levels were quantified by quantitative real time RT-PCR (qRT-PCR), and expression stability was evaluated by comparing the coefficients of variation (CV) of the Ct values. The results showed that EF-1α was the most suitable HK gene in all tissues of juvenile and adult Jian carp. However, at distinct juvenile and adult developmental stages, there was not a single optimal gene for normalization of expression levels in all tissues. EF-1α was the most stable gene only in forebrain, hypothalamus, liver, heart, and kidney. These results provide data that can be expected to aid gene expression analysis in Jian carp research, but underline the importance of identifying the optimal HK gene for each new experimental paradigm.

  19. Identification of target genes of synovial sarcoma-associated fusion oncoprotein using human pluripotent stem cells

    SciTech Connect

    Hayakawa, Kazuo; Ikeya, Makoto; Fukuta, Makoto; Woltjen, Knut; Tamaki, Sakura; Takahara, Naoko; Kato, Tomohisa; Sato, Shingo; Otsuka, Takanobu; Toguchida, Junya

    2013-03-22

    Highlights: ► We tried to identify targets of synovial sarcoma (SS)-associated SYT–SSX fusion gene. ► We established pluripotent stem cell (PSC) lines with inducible SYT–SSX gene. ► SYT–SSX responsive genes were identified by the induction of SYT–SSX in PSC. ► SS-related genes were selected from database by in silico analyses. ► 51 genes were finally identified among SS-related genes as targets of SYT–SSX in PSC. -- Abstract: Synovial sarcoma (SS) is a malignant soft tissue tumor harboring chromosomal translocation t(X; 18)(p11.2; q11.2), which produces SS-specific fusion gene, SYT–SSX. Although precise function of SYT–SSX remains to be investigated, accumulating evidences suggest its role in gene regulation via epigenetic mechanisms, and the product of SYT–SSX target genes may serve as biomarkers of SS. Lack of knowledge about the cell-of-origin of SS, however, has placed obstacle in the way of target identification. Here we report a novel approach to identify SYT–SSX2 target genes using human pluripotent stem cells (hPSCs) containing a doxycycline-inducible SYT–SSX2 gene. SYT–SSX2 was efficiently induced both at mRNA and protein levels within three hours after doxycycline administration, while no morphological change of hPSCs was observed until 24 h. Serial microarray analyses identified genes of which the expression level changed more than twofold within 24 h. Surprisingly, the majority (297/312, 95.2%) were up-regulated genes and a result inconsistent with the current concept of SYT–SSX as a transcriptional repressor. Comparing these genes with SS-related genes which were selected by a series of in silico analyses, 49 and 2 genes were finally identified as candidates of up- and down-regulated target of SYT–SSX, respectively. Association of these genes with SYT–SSX in SS cells was confirmed by knockdown experiments. Expression profiles of SS-related genes in hPSCs and human mesenchymal stem cells (hMSCs) were strikingly

  20. Parameter identification methods for improving structural dynamic models. Ph.D. Thesis

    NASA Technical Reports Server (NTRS)

    Lawrence, Charles

    1988-01-01

    There is an increasing need to develop Parameter Identification methods for improving structural dynamic models, based on the inability of engineers to produce mathematical models which correlate with experimental data. This research explores the efficiency of combining Component Mode Synthesis (substructuring) methods with Parameter Identification procedures in order to improve analytical modeling of structural components and their connections. Improvements are computed in terms of physical stiffness and damping parameters in order that the physical characteristics of the model can be better understood. Connections involving both viscous and friction damping are investigated. Substructuring methods are utilized to reduce the complexity of the identification problem. Component and inter-component structural connection properties are evaluated and identified independently, thus simplifying the identification problem. It is shown that modal test data is effective for identifying modeling problems associated with structural components, and for determining the stiffness and damping properties of intercomponent connections. In general, Parameter Identification is improved when greater quantities of experimental data are available.

  1. Identification of material constants for a composite shell structure

    SciTech Connect

    Carne, T.G.; Martinez, D.R.

    1987-03-01

    One of the basic requirements of an engineering analysis is the development of an adequate mathematical model describing the system. Frequently, comparisons with test data are used as a measure of the model's adequacy, or the test data are directly used to update or modify the model. For nonmetallic structures, the modeling task is often more difficult due to uncertainties in the elastic constants. System identification provides a methodology for systematically updating the mathematical model for improved correlation with test data. In this work a finite element model of a composite shell was created. The model includes uncertain orthotropic elastic constants. To identify these constants, a modal survey was performed on an actual shell. The resulting modal data along with the finite element model of the shell were used in a Bayes estimation algorithm. Values of the elastic constants were estimated which minimized the differences between the test results and the finite element predictions. The estimation procedure employed the concept of successive linearization to obtain an approximate solution to the original nonlinear estimation problem.

  2. Fuzzy stochastic neural network model for structural system identification

    NASA Astrophysics Data System (ADS)

    Jiang, Xiaomo; Mahadevan, Sankaran; Yuan, Yong

    2017-01-01

    This paper presents a dynamic fuzzy stochastic neural network model for nonparametric system identification using ambient vibration data. The model is developed to handle two types of imprecision in the sensed data: fuzzy information and measurement uncertainties. The dimension of the input vector is determined by using the false nearest neighbor approach. A Bayesian information criterion is applied to obtain the optimum number of stochastic neurons in the model. A fuzzy C-means clustering algorithm is employed as a data mining tool to divide the sensed data into clusters with common features. The fuzzy stochastic model is created by combining the fuzzy clusters of input vectors with the radial basis activation functions in the stochastic neural network. A natural gradient method is developed based on the Kullback-Leibler distance criterion for quick convergence of the model training. The model is validated using a power density pseudospectrum approach and a Bayesian hypothesis testing-based metric. The proposed methodology is investigated with numerically simulated data from a Markov Chain model and a two-story planar frame, and experimentally sensed data from ambient vibration data of a benchmark structure.

  3. Coding exon-structure aware realigner (CESAR) utilizes genome alignments for accurate comparative gene annotation

    PubMed Central

    Sharma, Virag; Elghafari, Anas; Hiller, Michael

    2016-01-01

    Identifying coding genes is an essential step in genome annotation. Here, we utilize existing whole genome alignments to detect conserved coding exons and then map gene annotations from one genome to many aligned genomes. We show that genome alignments contain thousands of spurious frameshifts and splice site mutations in exons that are truly conserved. To overcome these limitations, we have developed CESAR (Coding Exon-Structure Aware Realigner) that realigns coding exons, while considering reading frame and splice sites of each exon. CESAR effectively avoids spurious frameshifts in conserved genes and detects 91% of shifted splice sites. This results in the identification of thousands of additional conserved exons and 99% of the exons that lack inactivating mutations match real exons. Finally, to demonstrate the potential of using CESAR for comparative gene annotation, we applied it to 188 788 exons of 19 865 human genes to annotate human genes in 99 other vertebrates. These comparative gene annotations are available as a resource (http://bds.mpi-cbg.de/hillerlab/CESAR/). CESAR (https://github.com/hillerlab/CESAR/) can readily be applied to other alignments to accurately annotate coding genes in many other vertebrate and invertebrate genomes. PMID:27016733

  4. Identification and manipulation of the pleuromutilin gene cluster from Clitopilus passeckerianus for increased rapid antibiotic production

    NASA Astrophysics Data System (ADS)

    Bailey, Andy M.; Alberti, Fabrizio; Kilaru, Sreedhar; Collins, Catherine M.; de Mattos-Shipley, Kate; Hartley, Amanda J.; Hayes, Patrick; Griffin, Alison; Lazarus, Colin M.; Cox, Russell J.; Willis, Christine L.; O’Dwyer, Karen; Spence, David W.; Foster, Gary D.

    2016-05-01

    Semi-synthetic derivatives of the tricyclic diterpene antibiotic pleuromutilin from the basidiomycete Clitopilus passeckerianus are important in combatting bacterial infections in human and veterinary medicine. These compounds belong to the only new class of antibiotics for human applications, with novel mode of action and lack of cross-resistance, representing a class with great potential. Basidiomycete fungi, being dikaryotic, are not generally amenable to strain improvement. We report identification of the seven-gene pleuromutilin gene cluster and verify that using various targeted approaches aimed at increasing antibiotic production in C. passeckerianus, no improvement in yield was achieved. The seven-gene pleuromutilin cluster was reconstructed within Aspergillus oryzae giving production of pleuromutilin in an ascomycete, with a significant increase (2106%) in production. This is the first gene cluster from a basidiomycete to be successfully expressed in an ascomycete, and paves the way for the exploitation of a metabolically rich but traditionally overlooked group of fungi.

  5. Identification and manipulation of the pleuromutilin gene cluster from Clitopilus passeckerianus for increased rapid antibiotic production

    PubMed Central

    Bailey, Andy M.; Alberti, Fabrizio; Kilaru, Sreedhar; Collins, Catherine M.; de Mattos-Shipley, Kate; Hartley, Amanda J.; Hayes, Patrick; Griffin, Alison; Lazarus, Colin M.; Cox, Russell J.; Willis, Christine L.; O’Dwyer, Karen; Spence, David W.; Foster, Gary D.

    2016-01-01

    Semi-synthetic derivatives of the tricyclic diterpene antibiotic pleuromutilin from the basidiomycete Clitopilus passeckerianus are important in combatting bacterial infections in human and veterinary medicine. These compounds belong to the only new class of antibiotics for human applications, with novel mode of action and lack of cross-resistance, representing a class with great potential. Basidiomycete fungi, being dikaryotic, are not generally amenable to strain improvement. We report identification of the seven-gene pleuromutilin gene cluster and verify that using various targeted approaches aimed at increasing antibiotic production in C. passeckerianus, no improvement in yield was achieved. The seven-gene pleuromutilin cluster was reconstructed within Aspergillus oryzae giving production of pleuromutilin in an ascomycete, with a significant increase (2106%) in production. This is the first gene cluster from a basidiomycete to be successfully expressed in an ascomycete, and paves the way for the exploitation of a metabolically rich but traditionally overlooked group of fungi. PMID:27143514

  6. [The application of genome editing in identification of plant gene function and crop breeding].

    PubMed

    Xiangchun, Zhou; Yongzhong, Xing

    2016-03-01

    Plant genome can be modified via current biotechnology with high specificity and excellent efficiency. Zinc finger nucleases (ZFN), transcription activator-like effector nucleases (TALEN) and clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated 9 (Cas9) system are the key engineered nucleases used in the genome editing. Genome editing techniques enable gene targeted mutagenesis, gene knock-out, gene insertion or replacement at the target sites during the endogenous DNA repair process, including non-homologous end joining (NHEJ) and homologous recombination (HR), triggered by the induction of DNA double-strand break (DSB). Genome editing has been successfully applied in the genome modification of diverse plant species, such as Arabidopsis thaliana, Oryza sativa, and Nicotiana tabacum. In this review, we summarize the application of genome editing in identification of plant gene function and crop breeding. Moreover, we also discuss the improving points of genome editing in crop precision genetic improvement for further study.

  7. Identification of suitable reference genes for gene expression studies of shoulder instability.

    PubMed

    Leal, Mariana Ferreira; Belangero, Paulo Santoro; Cohen, Carina; Figueiredo, Eduardo Antônio; Loyola, Leonor Casilla; Pochini, Alberto Castro; Smith, Marília Cardoso; Andreoli, Carlos Vicente; Belangero, Sintia Iole; Ejnisman, Benno; Cohen, Moises

    2014-01-01

    Shoulder instability is a common shoulder injury, and patients present with plastic deformation of the glenohumeral capsule. Gene expression analysis may be a useful tool for increasing the general understanding of capsule deformation, and reverse-transcription quantitative polymerase chain reaction (RT-qPCR) has become an effective method for such studies. Although RT-qPCR is highly sensitive and specific, it requires the use of suitable reference genes for data normalization to guarantee meaningful and reproducible results. In the present study, we evaluated the suitability of a set of reference genes using samples from the glenohumeral capsules of individuals with and without shoulder instability. We analyzed the expression of six commonly used reference genes (ACTB, B2M, GAPDH, HPRT1, TBP and TFRC) in the antero-inferior, antero-superior and posterior portions of the glenohumeral capsules of cases and controls. The stability of the candidate reference gene expression was determined using four software packages: NormFinder, geNorm, BestKeeper and DataAssist. Overall, HPRT1 was the best single reference gene, and HPRT1 and B2M composed the best pair of reference genes from different analysis groups, including simultaneous analysis of all tissue samples. GenEx software was used to identify the optimal number of reference genes to be used for normalization and demonstrated that the accumulated standard deviation resulting from the use of 2 reference genes was similar to that resulting from the use of 3 or more reference genes. To identify the optimal combination of reference genes, we evaluated the expression of COL1A1. Although the use of different reference gene combinations yielded variable normalized quantities, the relative quantities within sample groups were similar and confirmed that no obvious differences were observed when using 2, 3 or 4 reference genes. Consequently, the use of 2 stable reference genes for normalization, especially HPRT1 and B2M, is a

  8. The wish for identification and structural effects in the work of Freud.

    PubMed

    Widlöcher, D

    1985-01-01

    The concept of identification is a blurred one. There is no general agreement about the relationships with other concepts. On the other hand, Freud described several forms of identification, opposing each to the other (hysterical and narcissistic, primary and secondary, ego and superego identification). The author points out the fact every identificatory process must be considered as a work of the unconscious. 'To identify oneself with ...' always results from a process in which a representation is identified to an other and thus realizes the fulfillment of a wish. But identification itself becomes a drive goal: the wish for identification. On that point, the importance of drive opposition between primary identification and object relationship must be outlined. The structural effects are then considered. From this point of view, personality agencies can be characterized in the same time as the result of the identificatory process and the source of the wish for identification.

  9. A feature selection approach for identification of signature genes from SAGE data

    PubMed Central

    Barrera, Junior; Cesar, Roberto M; Humes, Carlos; Martins, David C; Patrão, Diogo FC; Silva, Paulo JS; Brentani, Helena

    2007-01-01

    Background One goal of gene expression profiling is to identify signature genes that robustly distinguish different types or grades of tumors. Several tumor classifiers based on expression profiling have been proposed using microarray technique. Due to important differences in the probabilistic models of microarray and SAGE technologies, it is important to develop suitable techniques to select specific genes from SAGE measurements. Results A new framework to select specific genes that distinguish different biological states based on the analysis of SAGE data is proposed. The new framework applies the bolstered error for the identification of strong genes that separate the biological states in a feature space defined by the gene expression of a training set. Credibility intervals defined from a probabilistic model of SAGE measurements are used to identify the genes that distinguish the different states with more reliability among all gene groups selected by the strong genes method. A score taking into account the credibility and the bolstered error values in order to rank the groups of considered genes is proposed. Results obtained using SAGE data from gliomas are presented, thus corroborating the introduced methodology. Conclusion The model representing counting data, such as SAGE, provides additional statistical information that allows a more robust analysis. The additional statistical information provided by the probabilistic model is incorporated in the methodology described in the paper. The introduced method is suitable to identify signature genes that lead to a good separation of the biological states using SAGE and may be adapted for other counting methods such as Massive Parallel Signature Sequencing (MPSS) or the recent Sequencing-By-Synthesis (SBS) technique. Some of such genes identified by the proposed method may be useful to generate classifiers. PMID:17519038

  10. Identification of Human Disease Genes from Interactome Network Using Graphlet Interaction

    PubMed Central

    Yang, Lun; Wei, Dong-Qing; Qi, Ying-Xin; Jiang, Zong-Lai

    2014-01-01

    Identifying genes related to human diseases, such as cancer and cardiovascular disease, etc., is an important task in biomedical research because of its applications in disease diagnosis and treatment. Interactome networks, especially protein-protein interaction networks, had been used to disease genes identification based on the hypothesis that strong candidate genes tend to closely relate to each other in some kinds of measure on the network. We proposed a new measure to analyze the relationship between network nodes which was called graphlet interaction. The graphlet interaction contained 28 different isomers. The results showed that the numbers of the graphlet interaction isomers between disease genes in interactome networks were significantly larger than random picked genes, while graphlet signatures were not. Then, we designed a new type of score, based on the network properties, to identify disease genes using graphlet interaction. The genes with higher scores were more likely to be disease genes, and all candidate genes were ranked according to their scores. Then the approach was evaluated by leave-one-out cross-validation. The precision of the current approach achieved 90% at about 10% recall, which was apparently higher than the previous three predominant algorithms, random walk, Endeavour and neighborhood based method. Finally, the approach was applied to predict new disease genes related to 4 common diseases, most of which were identified by other independent experimental researches. In conclusion, we demonstrate that the graphlet interaction is an effective tool to analyze the network properties of disease genes, and the scores calculated by graphlet interaction is more precise in identifying disease genes. PMID:24465923

  11. Vitamin D Pathway Status and the Identification of Target Genes in the Mouse Mammary Gland

    DTIC Science & Technology

    2014-11-01

    significant increase in cancer incidence in women who are vitamin D deficient (1;2). It was also shown that there is a correlation between breast cancer...the correlation between vitamin D deficiency and an increase in breast cancer incidence. 18 References 1 Abbas S et al. Dietary...AD_________________ Award Number: W81XWH-11-1-0152 TITLE: Vitamin D Pathway Status and the Identification of Target Genes in the Mouse Mammary

  12. Identification of Anthrax Toxin Genes in a Bacillus cereus Associated With An Illness Resembling Inhalation Anthrax

    DTIC Science & Technology

    2004-01-01

    Identification of anthrax toxin genes in a Bacillus cereus associated with an illness resembling inhalation anthrax Alex R. Hoffmaster*†, Jacques... Bacillus anthracis is the etiologic agent of anthrax, an acute fatal disease among mammals. It was thought to differ from Bacillus cereus , an...correlation of phenotypic characteristics and their genetic basis. Bacillus cereus and Bacillus anthracis are members of a closelyrelated phylogenetic

  13. The genomic fingerprinting of the coding region of the beta-tubulin gene in Leishmania identification.

    PubMed

    Luis, L; Ramírez, A; Aguilar, C M; Eresh, S; Barker, D C; Mendoza-León, A

    1998-06-01

    We have demonstrated the polymorphism of the beta-tubulin gene region in Leishmania and its value in the identification of the parasite. In this work we have shown that the coding region of the gene has sufficient variation to accurately discriminate these parasites at the subgenus level. Nevertheless, intrasubgenus diversity, for particular restriction enzymes, was found in New World Leishmania belonging to the Leishmania subgenus. For instance, differences were found between mexicana and amazonensis strains. A unique pattern at the species level was found in particular species of both subgenera, e.g. L. (L.) major strain P and L. (L.) tropica belonging to the Leishmania subgenus, and L. (V.) panamensis strain LS94 from the Viannia subgenus. Particular endonucleases are diagnostic in Leishmania species discrimination as in the case of PvuII for the mexicana and amazonensis. This variation evidenced in the beta-tubulin gene region of Leishmania also occurred in other Kinetoplastida e.g. Trypanosoma cruzi, Leptomonas spp. and Crithidia spp. Moreover, these organisms showed a different genomic fingerprinting for the beta-tubulin gene among them and also Leishmania. Thus, the polymorphism of the coding region of the beta-tubulin gene can be used as a molecular marker for the identification of Leishmania.

  14. Identification of minimal eukaryotic introns through GeneBase, a user-friendly tool for parsing the NCBI Gene databank.

    PubMed

    Piovesan, Allison; Caracausi, Maria; Ricci, Marco; Strippoli, Pierluigi; Vitale, Lorenza; Pelleri, Maria Chiara

    2015-12-01

    We have developed GeneBase, a full parser of the National Center for Biotechnology Information (NCBI) Gene database, which generates a fully structured local database with an intuitive user-friendly graphic interface for personal computers. Features of all the annotated eukaryotic genes are accessible through three main software tables, including for each entry details such as the gene summary, the gene exon/intron structure and the specific Gene Ontology attributions. The structuring of the data, the creation of additional calculation fields and the integration with nucleotide sequences allow users to make many types of comparisons and calculations that are useful for data retrieval and analysis. We provide an original example analysis of the existing introns across all the available species, through which the classic biological problem of the 'minimal intron' may find a solution using available data. Based on all currently available data, we can define the shortest known eukaryotic GT-AG intron length, setting the physical limit at the 30 base pair intron belonging to the human MST1L gene. This 'model intron' will shed light on the minimal requirement elements of recognition used for conventional splicing functioning. Remarkably, this size is indeed consistent with the sum of the splicing consensus sequence lengths.

  15. Identification of minimal eukaryotic introns through GeneBase, a user-friendly tool for parsing the NCBI Gene databank

    PubMed Central

    Piovesan, Allison; Caracausi, Maria; Ricci, Marco; Strippoli, Pierluigi; Vitale, Lorenza; Pelleri, Maria Chiara

    2015-01-01

    We have developed GeneBase, a full parser of the National Center for Biotechnology Information (NCBI) Gene database, which generates a fully structured local database with an intuitive user-friendly graphic interface for personal computers. Features of all the annotated eukaryotic genes are accessible through three main software tables, including for each entry details such as the gene summary, the gene exon/intron structure and the specific Gene Ontology attributions. The structuring of the data, the creation of additional calculation fields and the integration with nucleotide sequences allow users to make many types of comparisons and calculations that are useful for data retrieval and analysis. We provide an original example analysis of the existing introns across all the available species, through which the classic biological problem of the ‘minimal intron’ may find a solution using available data. Based on all currently available data, we can define the shortest known eukaryotic GT-AG intron length, setting the physical limit at the 30 base pair intron belonging to the human MST1L gene. This ‘model intron’ will shed light on the minimal requirement elements of recognition used for conventional splicing functioning. Remarkably, this size is indeed consistent with the sum of the splicing consensus sequence lengths. PMID:26581719

  16. Identification of potentially hazardous human gene products in GMO risk assessment.

    PubMed

    Bergmans, Hans; Logie, Colin; Van Maanen, Kees; Hermsen, Harm; Meredyth, Michelle; Van Der Vlugt, Cécile

    2008-01-01

    Genetically modified organisms (GMOs), e.g. viral vectors, could threaten the environment if by their release they spread hazardous gene products. Even in contained use, to prevent adverse consequences, viral vectors carrying genes from mammals or humans should be especially scrutinized as to whether gene products that they synthesize could be hazardous in their new context. Examples of such potentially hazardous gene products (PHGPs) are: protein toxins, products of dominant alleles that have a role in hereditary diseases, gene products and sequences involved in genome rearrangements, gene products involved in immunomodulation or with an endocrine function, gene products involved in apoptosis, activated proto-oncogenes. For contained use of a GMO that carries a construct encoding a PHGP, the precautionary principle dictates that safety measures should be applied on a "worst case" basis, until the risks of the specific case have been assessed. The potential hazard of cloned genes can be estimated before empirical data on the actual GMO become available. Preliminary data may be used to focus hazard identification and risk assessment. Both predictive and empirical data may also help to identify what further information is needed to assess the risk of the GMO. A two-step approach, whereby a PHGP is evaluated for its conceptual dangers, then checked by data bank searches, is delineated here.

  17. Identification of a new calcitonin gene in the salmon Oncorhynchus gorbuscha.

    PubMed Central

    Jansz, H; Martial, K; Zandberg, J; Milhaud, G; Benson, A A; Julienne, A; Moukhtar, M S; Cressent, M

    1996-01-01

    Three isoforms of calcitonin (CT) exist in salmonids. Isohormones I and II are expressed in the pink salmon Oncorhynchus gorbuscha. We report here the existence in this species of a CT gene and of its transcripts, which encode for a fourth isohormone, the salmon CT (sCT) IV. This new CT gene was identified by PCR from genomic DNA and by sequencing the amplified DNA. The expression of this CT gene was established in ultimobranchial body and brain, by reverse transcription-PCR, hybridization and sequencing. The sCT IV gene, like the sCT I gene, is a complex transcription unit, containing exons encoding for a CT as a calcitonin gene-related peptide (CGRP) molecule. The predicted peptide, sCT IV, has a greater homology with the eel CT and the sCT II than with the sCT I. Alignment of the sCT IV with other fish and chicken CT showed amino acid modifications in similar positions as those found during evolution. The predicted salmon CGRP IV peptide is highly homologous to the known CGRP molecules in other species, confirming the high conservation of the molecule during evolution. This identification of a new salmon CT gene is interesting both for the therapeutic potential represented by the new molecules encoded by this gene and for phylogenetic studies. Images Fig. 2 Fig. 3 Fig. 4 PMID:8901583

  18. Automated Identification of Core Regulatory Genes in Human Gene Regulatory Networks.

    PubMed

    Narang, Vipin; Ramli, Muhamad Azfar; Singhal, Amit; Kumar, Pavanish; de Libero, Gennaro; Poidinger, Michael; Monterola, Christopher

    2015-01-01

    Human gene regulatory networks (GRN) can be difficult to interpret due to a tangle of edges interconnecting thousands of genes. We constructed a general human GRN from extensive transcription factor and microRNA target data obtained from public databases. In a subnetwork of this GRN that is active during estrogen stimulation of MCF-7 breast cancer cells, we benchmarked automated algorithms for identifying core regulatory genes (transcription factors and microRNAs). Among these algorithms, we identified K-core decomposition, pagerank and betweenness centrality algorithms as the most effective for discovering core regulatory genes in the network evaluated based on previously known roles of these genes in MCF-7 biology as well as in their ability to explain the up or down expression status of up to 70% of the remaining genes. Finally, we validated the use of K-core algorithm for organizing the GRN in an easier to interpret layered hierarchy where more influential regulatory genes percolate towards the inner layers. The integrated human gene and miRNA network and software used in this study are provided as supplementary materials (S1 Data) accompanying this manuscript.

  19. Identification of reference genes and validation for gene expression studies in diverse axolotl (Ambystoma mexicanum) tissues.

    PubMed

    Guelke, Eileen; Bucan, Vesna; Liebsch, Christina; Lazaridis, Andrea; Radtke, Christine; Vogt, Peter M; Reimers, Kerstin

    2015-04-10

    For the precise quantitative RT-PCR normalization a set of valid reference genes is obligatory. Moreover have to be taken into concern the experimental conditions as they bias the regulation of reference genes. Up till now, no reference targets have been described for the axolotl (Ambystoma mexicanum). In a search in the public database SalSite for genetic information of the axolotl we identified fourteen presumptive reference genes, eleven of which were further tested for their gene expression stability. This study characterizes the expressional patterns of 11 putative endogenous control genes during axolotl limb regeneration and in an axolotl tissue panel. All 11 reference genes showed variable expression. Strikingly, ACTB was to be found most stable expressed in all comparative tissue groups, so we reason it to be suitable for all different kinds of axolotl tissue-type investigations. Moreover do we suggest GAPDH and RPLP0 as suitable for certain axolotl tissue analysis. When it comes to axolotl limb regeneration, a validated pair of reference genes is ODC and RPLP0. With these findings, new insights into axolotl gene expression profiling might be gained.

  20. Rapid direct identification of Cryptococcus neoformans from pigeon droppings by nested PCR using CNLAC1 gene.

    PubMed

    Chae, H S; Park, G N; Kim, S H; Jo, H J; Kim, J T; Jeoung, H Y; An, D J; Kim, N H; Shin, B W; Kang, Y I; Chang, K S

    2012-08-01

    Isolation and identification of Cryptococcus neoformans and pathogenic yeast-like fungi from pigeon droppings has been taken for a long time and requires various nutrients for its growth. In this study, we attempted to establish a rapid direct identification method of Cr. neoformans from pigeon dropping samples by nested-PCR using internal transcribed spacer (ITS) CAP64 and CNLAC1 genes, polysaccharide capsule gene and laccase-associated gene to produce melanin pigment, respectively, which are common genes of yeasts. The ITS and CAP64 genes were amplified in all pathogenic yeasts, but CNLAC1 was amplified only in Cr. neoformans. The ITS gene was useful for yeast genotyping depending on nucleotide sequence. Homology of CAP64 genes among the yeasts were very high. The specificity of PCR using CNLAC1 was demonstrated in Cr. neoformans environmental strains but not in other yeast-like fungi. The CNLAC1 gene was detected in 5 serotypes of Cr. neoformans. The nested-PCR amplified up to 10(-11) μg of the genomic DNA and showed high sensitivity. All pigeon droppings among 31 Cr. neoformans-positive samples were positive and all pigeon droppings among 348 Cr. neoformans-negative samples were negative by the direct nested-PCR. In addition, after primary enrichment of pigeon droppings in Sabouraud dextrose broth, all Cr. neoformans-negative samples were negative by the nested-PCR, which showed high specificity. The nested-PCR showed high sensitivity without culture of pigeon droppings. Nested-PCR using CNLAC1 provides a rapid and reliable molecular diagnostic method to overcome weak points such as long culture time of many conventional methods.

  1. Identification of multiple genetic loci that regulate adenovirus gene therapy.

    PubMed

    Zhang, H-G; Hsu, H-C; Yang, P-A; Yang, X; Wu, Q; Liu, Z; Yi, N; Mountz, J D

    2004-01-01

    A key aspect of the immune response to adenovirus (Ad) gene therapy is the generation of a cytotoxic T-cell (CTL) response. To better understand the genetic network underlying these events, 20 strains of C57BL/6 x DBA/2 (BXD) recombinant inbred (RI) mice were administered with AdLacZ and analyzed at days 7, 21, 30, and 50 for liver beta-galactosidase (LacZ) expression and CTL response. Sera levels of interferon gamma (IFN-gamma), tumor necrosis factor-alpha (TNF-alpha), and interleukin-6 (IL-6) were analyzed at different times after AdLacZ. There was a distinct strain-dependent expression of LacZ, which was strongly correlated with the CTL response. Among the five BXD RI strains that exhibited significantly prolonged LacZ expression, four also exhibited a marked defect in the production of Ad-specific CTL. There was a strong correlation between the sera levels of IFN-gamma, TNF-alpha, and IL-6, but cytokine responses were not significantly correlated with LacZ expression or the CTL response. Quantitative trait loci regulating LacZ on day 30 were found on chromosome (Chr) 19 (33 cM) and Chr 15 (42.8 cM). Cytotoxicity mapped to Chr 7 (41.0 and 57.4-65.2 cM), Chr 15 (61.7 cM), and Chr X (27.8 cM). IFN-gamma production mapped to Chr 18 (22, 27, and 32 cM) and Chr 11 (64.0 cM). TNF-alpha and IL-6 production mapped to Chr 6 (91.5 cM) Chr 9 (42.0 cM) and Chr 8 (52 and 73.0 cM). These results indicate that different strains of mice exhibit different pathways for effective clearance of AdLacZ depending on genetic polymorphisms and interactions at multiple genetic loci.

  2. Identification of the retinoblastoma (Rb) gene and expression in response to environmental stressors in the intertidal copepod Tigriopus japonicus.

    PubMed

    Kim, Bo-Mi; Jeong, Chang-Bum; Lee, Min Chul; Rhee, Jae-Sung; Lee, Jae-Seong

    2015-12-01

    There have been no reports thus far on the structure or molecular characterization of the retinoblastoma (Rb) gene of aquatic animals. Herein we describe the identification of the Rb gene of the intertidal copepod Tigriopus japonicus. In silico analyses revealed the conserved Rb domains of T. japonicus with those of protostomes. Phylogenetic analysis revealed that orthologs of Rb gene were evolved by an ancient split event in deuterostomes, while only a single Rb gene was conserved in protostomes except for Drosophila. The transcription of the T. japonicus Rb gene continuously increased across the molting transition from nauplius to the copepodid and adult stages, suggesting that it may play a developmental role in the molting process of T. japonicus. Information on Rb's response to environmental stressors, including toxin exposure, is lacking in copepods. To examine the transcriptional response to stressful conditions in laboratory culture conditions, copepods were exposed to UV-B radiation and different concentrations of metals, environmental toxins, and biocides. Transcription of the T. japonicus Rb gene was upregulated in response to about half of the 96 h-LD50 of UV-B radiation (12 kJ/m(2)) for 48 h, while the approximate 96 h-LD50 value (24 kJ/m(2)) of UV-B and relatively high concentrations of several toxins and biocides induced the downregulation of T. japonicus Rb mRNA expression. Taken together, our findings suggest that the T. japonicus Rb gene is sensitive to environmentally unfavorable conditions that can induce cell cycle alteration.

  3. The putative phytocyanin genes in Chinese cabbage (Brassica rapa L.): genome-wide identification, classification and expression analysis.

    PubMed

    Li, Jun; Gao, Guizhen; Zhang, Tianyao; Wu, Xiaoming

    2013-02-01

    Phytocyanins (PCs) are a plant-specific family of small copper-containing electron transfer proteins. PCs may bind with a single copper atom to function as electron transporters in various biological systems, such as copper trafficking and plant photosynthesis. Evidence indicates that PCs may also be involved in plant developmental processes and stress responses. Many PCs possess arabinogalactan protein-like regions and are therefore termed chimeric arabinogalactan proteins (CAGPs). Previously, 38 and 62 PC genes have been identified in Arabidopsis (Arabidopsis thaliana) and rice (Oryza sativa), respectively. The recent release of the Chinese cabbage genome (B. rapa ssp. Pekinensis line Chiifu-401-42) enabled us to perform a genome-wide identification and analysis. In this study we identified 84 putative PC genes in the B. rapa genome. All of the Brassica rapa phytocyanins (BrPCs) described here could be divided, based on motif constitution, into the following three main subclasses: 52 early nodulin-like proteins (ENODLs), 16 uclacyanin-like proteins (UCLs), and 11 stellacyanin-like proteins (SCLs). A structural analysis predicted that 71 BrPCs contained N-terminal secretion signals and 45 BrPCs may be glycosylphosphatidylinositol-anchored to the plasma membrane. Glycosylation prediction revealed that 48 BrPCs were CAGPs with putative arabinogalactan glycomodules, and 57 BrPCs had N-glycosylation sites. Additionally, gene duplication analysis demonstrated that almost all of the duplicated BrPC genes shared the same conserved collinear blocks and that segmental duplications play an important role in the diversification of this gene family. Surprisingly, all BrUCL genes were duplicated except for BrUCL16. Expression analyses indicated that BrENODL22/27 and BrSCL8/9 were highly expressed in reproductive organs; BrUCL6/16 was strongly expressed in roots and even more strongly expressed in stems. The genome-wide identification, classification and expression analysis of

  4. Sex identification of pigs using polymerase chain reaction amplification of the amelogenin gene.

    PubMed

    Sembon, Shoichiro; Suzuki, Shun-ichi; Fuchimoto, Dai-ichiro; Iwamoto, Masaki; Kawarasaki, Tatsuo; Onishi, Akira

    2008-11-01

    The amelogenin (AMEL) gene exists on both sex chromosomes of various mammalian species and the length and sequence of the noncoding regions differ between the two chromosome-specific alleles. Because both forms can be amplified using a single primer set, the use of AMEL in polymerase chain reaction (PCR)-based methods has facilitated sex identification in various mammalian species, including cattle, sheep and humans. In this study, we designed PCR primers to yield different-sized products from the AMEL genes on the X (AMELX) and Y (AMELY) chromosomes of pigs. PCR amplification of genomic DNA samples collected from various breeds of pigs (European breeds: Landrace, Large White, Duroc and Berkshire; Chinese breeds: Meishan and Jinhua and their crossbreeds) yielded the expected products. For all breeds, DNA from male pigs produced two bands (520 and 350 bp; AMELX and AMELY, respectively), whereas samples from female pigs generated only the 520 bp product. We then tested the use of PCR of AMEL for sex identification of in vitro-produced (IVP) porcine embryos sampled at 2 or 5 to 6 days after fertilization; germinal vesicle (GV)-stage oocytes and electroactivated embryos were used as controls. More than 88% of the GV-stage oocytes and electroactivated embryos yielded a single 520 bp single band and about 50% of the IVP embryos tested produced both bands. Our findings show that PCR analysis of the AMEL gene is reliable for sex identification of pigs and porcine embryos.

  5. Identification of genes related to beak deformity of chickens using digital gene expression profiling.

    PubMed

    Bai, Hao; Zhu, Jing; Sun, Yanyan; Liu, Ranran; Liu, Nian; Li, Dongli; Wen, Jie; Chen, Jilan

    2014-01-01

    Frequencies of up to 3% of beak deformity (normally a crossed beak) occur in some indigenous chickens in China, such as and Beijing-You. Chickens with deformed beaks have reduced feed intake, growth rate, and abnormal behaviors. Beak deformity represents an economic as well as an animal welfare problem in the poultry industry. Because the genetic basis of beak deformity remains incompletely understood, the present study sought to identify important genes and metabolic pathways involved in this phenotype. Digital gene expression analysis was performed on deformed and normal beaks collected from Beijing-You chickens to detect global gene expression differences. A total of >11 million cDNA tags were sequenced, and 5,864,499 and 5,648,877 clean tags were obtained in the libraries of deformed and normal beaks, respectively. In total, 1,156 differentially expressed genes (DEG) were identified in the deformed beak with 409 being up-regulated and 747 down-regulated in the deformed beaks. qRT-PCR using eight genes was performed to verify the results of DGE profiling. Gene ontology (GO) analysis highlighted that genes of the keratin family on GGA25 were abundant among the DEGs. Pathway analysis showed that many DEGs were linked to the biosynthesis of unsaturated fatty acids and glycerolipid metabolism. Combining the analyses, 11 genes (MUC, LOC426217, BMP4, ACAA1, LPL, ALDH7A1, GLA, RETSAT, SDR16C5, WWOX, and MOGAT1) were highlighted as potential candidate genes for beak deformity in chickens. Some of these genes have been identified previously, while others have unknown function with respect to thus phenotype. To the best of our knowledge, this is the first genome-wide study to investigate the transcriptome differences in the deformed and normal beaks of chickens. The DEGs identified here are worthy of further functional characterization.

  6. Identification of Genes Related to Beak Deformity of Chickens Using Digital Gene Expression Profiling

    PubMed Central

    Sun, Yanyan; Liu, Ranran; Liu, Nian; Li, Dongli; Wen, Jie; Chen, Jilan

    2014-01-01

    Frequencies of up to 3% of beak deformity (normally a crossed beak) occur in some indigenous chickens in China, such as and Beijing-You. Chickens with deformed beaks have reduced feed intake, growth rate, and abnormal behaviors. Beak deformity represents an economic as well as an animal welfare problem in the poultry industry. Because the genetic basis of beak deformity remains incompletely understood, the present study sought to identify important genes and metabolic pathways involved in this phenotype. Digital gene expression analysis was performed on deformed and normal beaks collected from Beijing-You chickens to detect global gene expression differences. A total of >11 million cDNA tags were sequenced, and 5,864,499 and 5,648,877 clean tags were obtained in the libraries of deformed and normal beaks, respectively. In total, 1,156 differentially expressed genes (DEG) were identified in the deformed beak with 409 being up-regulated and 747 down-regulated in the deformed beaks. qRT-PCR using eight genes was performed to verify the results of DGE profiling. Gene ontology (GO) analysis highlighted that genes of the keratin family on GGA25 were abundant among the DEGs. Pathway analysis showed that many DEGs were linked to the biosynthesis of unsaturated fatty acids and glycerolipid metabolism. Combining the analyses, 11 genes (MUC, LOC426217, BMP4, ACAA1, LPL, ALDH7A1, GLA, RETSAT, SDR16C5, WWOX, and MOGAT1) were highlighted as potential candidate genes for beak deformity in chickens. Some of these genes have been identified previously, while others have unknown function with respect to thus phenotype. To the best of our knowledge, this is the first genome-wide study to investigate the transcriptome differences in the deformed and normal beaks of chickens. The DEGs identified here are worthy of further functional characterization. PMID:25198128

  7. The ankyrin repeat gene family in rice: genome-wide identification, classification and expression profiling.

    PubMed

    Huang, Jianyan; Zhao, Xiaobo; Yu, Huihui; Ouyang, Yidan; Wang, Lei; Zhang, Qifa

    2009-10-01

    Ankyrin repeat (ANK) containing proteins comprise a large protein family. Although many members of this family have been implicated in plant growth, development and signal transduction, only a few ANK genes have been reported in rice. In this study, we analyzed the structures, phylogenetic relationship, genome localizations and expression profiles of 175 ankyrin repeat genes identified in rice (OsANK). Domain composition analysis suggested OsANK proteins can be classified into ten subfamilies. Chromosomal localizations of OsANK genes indicated nine segmental duplication events involving 17 genes and 65 OsANK genes were involved in tandem duplications. The expression profiles of 158 OsANK genes were analyzed in 24 tissues covering the whole life cycle of two rice genotypes, Minghui 63 and Zhenshan 97. Sixteen genes showed preferential expression in given tissues compared to all the other tissues in Minghui 63 and Zhenshan 97. Nine genes were preferentially expressed in stamen of 1 day before flowering, suggesting that these genes may play important roles in pollination and fertilization. Expression data of OsANK genes were also obtained with tissues of seedlings subjected to three phytohormone (NAA, GA3 and KT) and light/dark treatments. Eighteen genes showed differential expression with at least one phytohormone treatment while under light/dark treatments, 13 OsANK genes showed differential expression. Our data provided a very useful reference for cloning and functional analysis of members of this gene family in rice.

  8. Identification of residues of SARS-CoV nsp1 that differentially affect inhibition of gene expression and antiviral signaling.

    PubMed

    Jauregui, Andrew R; Savalia, Dhruti; Lowry, Virginia K; Farrell, Cara M; Wathelet, Marc G

    2013-01-01

    An epidemic of Severe Acute Respiratory Syndrome (SARS) led to the identification of an associated coronavirus, SARS-CoV. This virus evades the host innate immune response in part through the expression of its non-structural protein (nsp) 1, which inhibits both host gene expression and virus- and interferon (IFN)-dependent signaling. Thus, nsp1 is a promising target for drugs, as inhibition of nsp1 would make SARS-CoV more susceptible to the host antiviral defenses. To gain a better understanding of nsp1 mode of action, we generated and analyzed 38 mutants of the SARS-CoV nsp1, targeting 62 solvent exposed residues out of the 180 amino acid protein. From this work, we identified six classes of mutants that abolished, attenuated or increased nsp1 inhibition of host gene expression and/or antiviral signaling. Each class of mutants clustered on SARS-CoV nsp1 surface and suggested nsp1 interacts with distinct host factors to exert its inhibitory activities. Identification of the nsp1 residues critical for its activities and the pathways involved in these activities should help in the design of drugs targeting nsp1. Significantly, several point mutants increased the inhibitory activity of nsp1, suggesting that coronaviruses could evolve a greater ability to evade the host response through mutations of such residues.

  9. Identification of structure-activity relationships from screening a structurally compact DNA-encoded chemical library.

    PubMed

    Franzini, Raphael M; Ekblad, Torun; Zhong, Nan; Wichert, Moreno; Decurtins, Willy; Nauer, Angela; Zimmermann, Mauro; Samain, Florent; Scheuermann, Jörg; Brown, Peter J; Hall, Jonathan; Gräslund, Susanne; Schüler, Herwig; Neri, Dario

    2015-03-23

    Methods for the rapid and inexpensive discovery of hit compounds are essential for pharmaceutical research and DNA-encoded chemical libraries represent promising tools for this purpose. We here report on the design and synthesis of DAL-100K, a DNA-encoded chemical library containing 103 200 structurally compact compounds. Affinity screening experiments and DNA-sequencing analysis provided ligands with nanomolar affinities to several proteins, including prostate-specific membrane antigen and tankyrase 1. Correlations of sequence counts with binding affinities and potencies of enzyme inhibition were observed and enabled the identification of structural features critical for activity. These results indicate that libraries of this type represent a useful source of small-molecule binders for target proteins of pharmaceutical interest and information on structural features important for binding.

  10. Construction of a BAC library and identification of Dmrt1 gene of the rice field eel, Monopterus albus

    SciTech Connect

    Jang Songhun; Zhou Fang; Xia Laixin; Zhao Wei; Cheng Hanhua . E-mail: hhcheng@whu.edu.cn; Zhou Rongjia . E-mail: rjzhou@whu.edu.cn

    2006-09-22

    A bacterial artificial chromosome (BAC) library was constructed using nuclear DNA from the rice field eel (Monopterus albus). The BAC library consists of a total of 33,000 clones with an average insert size of 115 kb. Based on the rice field eel haploid genome size of 600 Mb, the BAC library is estimated to contain approximately 6.3 genome equivalents and represents 99.8% of the genome of the rice field eel. This is first BAC library constructed from this species. To estimate the possibility of isolating a specific clone, high-density colony hybridization-based library screening was performed using Dmrt1 cDNA of the rice field eel as a probe. Both library screening and PCR identification results revealed three positive BAC clones which were overlapped, and formed a contig covering the Dmrt1 gene of 195 kb. By sequence comparisons with the Dmrt1 cDNA and sequencing of first four intron-exon junctions, Dmrt1 gene of the rice field eel was predicted to contain four introns and five exons. The sizes of first and second intron are 1.5 and 2.6 kb, respectively, and the sizes of last two introns were predicted to be about 20 kb. The Dmrt1 gene structure was conserved in evolution. These results also indicate that the BAC library is a useful resource for BAC contig construction and molecular isolation of functional genes.

  11. Identification of natural killer cell receptor genes in the genome of the marsupial Tasmanian devil (Sarcophilus harrisii).

    PubMed

    van der Kraan, Lauren E; Wong, Emily S W; Lo, Nathan; Ujvari, Beata; Belov, Katherine

    2013-01-01

    Within the mammalian immune system, natural killer (NK) cells contribute to the first line of defence against infectious agents and tumours. Their activity is regulated, in part, by cell surface NK cell receptors. NK receptors can be divided into two unrelated, but functionally analogous superfamilies based on the structure of their extracellular ligand-binding domains. Receptors belonging to the C-type lectin superfamily are predominantly encoded in the natural killer complex (NKC), while receptors belonging to the immunoglobulin superfamily are predominantly encoded in the leukocyte receptor complex (LRC). Natural killer cell receptors are emerging as a rapidly evolving gene family which can display significant intra- and interspecific variation. To date, most studies have focused on eutherian mammals, with significantly less known about the evolution of these receptors in marsupials. Here, we describe the identification of 43 immunoglobulin domain-containing LRC genes in the genome of the Tasmanian devil (Sarcophilus harrisii), the largest remaining marsupial carnivore and only the second marsupial species to be studied. We also identify orthologs of NKC genes KLRK1, CD69, CLEC4E, CLEC1B, CLEC1A and an ortholog of an opossum NKC receptor. Characterisation of these regions in a second, distantly related marsupial provides new insights into the dynamic evolutionary histories of these receptors in mammals. Understanding the functional role of these genes is also important for the development of therapeutic agents against Devil Facial Tumour Disease, a contagious cancer that threatens the Tasmanian devil with extinction.

  12. Structure and in vitro transcription of human globin genes.

    PubMed

    Proudfoot, N J; Shander, M H; Manley, J L; Gefter, M L; Maniatis, T

    1980-09-19

    The alpha-like and beta-like subunits of human hemoglobin are encoded by a small family of genes that are differentially expressed during development. Through the use of molecular cloning procedures, each member of this gene family has been isolated and extensively characterized. Although the alpha-like and beta-like globin genes are located on different chromosomes, both sets of genes are arranged in closely linked clusters. In both clusters, each of the genes is transcribed from the same DNA strand, and the genes are arranged in the order of their expressions during development. Structural comparisons of immediately adjacent genes within each cluster have provided evidence for the occurrence of gene duplication and correction during evolution and have led to the discovery of pseudogenes, genes that have acquired numerous mutations that prevent their normal expression. Recently, in vivo and in vitro systems for studying the expression of cloned eukaryotic genes have been developed as a means of identifying DNA sequences that are necessary for normal gene function. This article describes the application of an in vitro transcription procedure to the study of human globin gene expression.

  13. Computational Identification and Systematic Classification of Novel Cytochrome P450 Genes in Salvia miltiorrhiza

    PubMed Central

    Nelson, David R.; Wu, Kai; Liu, Chang

    2014-01-01

    Salvia miltiorrhiza is one of the most economically important medicinal plants. Cytochrome P450 (CYP450) genes have been implicated in the biosynthesis of its active components. However, only a dozen full-length CYP450 genes have been described, and there is no systematic classification of CYP450 genes in S. miltiorrhiza. We obtained 77,549 unigenes from three tissue types of S. miltiorrhiza using RNA-Seq technology. Combining our data with previously identified CYP450 sequences and scanning with the CYP450 model from Pfam resulted in the identification of 116 full-length and 135 partial-length CYP450 genes. The 116 genes were classified into 9 clans and 38 families using standard criteria. The RNA-Seq results showed that 35 CYP450 genes were co-expressed with CYP76AH1, a marker gene for tanshinone biosynthesis, using r≥0.9 as a cutoff. The expression profiles for 16 of 19 randomly selected CYP450 obtained from RNA-Seq were validated by qRT-PCR. Comparing against the KEGG database, 10 CYP450 genes were found to be associated with diterpenoid biosynthesis. Considering all the evidence, 3 CYP450 genes were identified to be potentially involved in terpenoid biosynthesis. Moreover, we found that 15 CYP450 genes were possibly regulated by antisense transcripts (r≥0.9 or r≤–0.9). Lastly, a web resource (SMCYP450, http://www.herbalgenomics.org/samicyp450) was set up, which allows users to browse, search, retrieve and compare CYP450 genes and can serve as a centralized resource. PMID:25493946

  14. Genome-Wide Identification and Analysis of the TIFY Gene Family in Grape

    PubMed Central

    Zhang, Yucheng; Gao, Min; Singer, Stacy D.; Fei, Zhangjun; Wang, Hua; Wang, Xiping

    2012-01-01

    Background The TIFY gene family constitutes a plant-specific group of genes with a broad range of functions. This family encodes four subfamilies of proteins, including ZML, TIFY, PPD and JASMONATE ZIM-Domain (JAZ) proteins. JAZ proteins are targets of the SCFCOI1 complex, and function as negative regulators in the JA signaling pathway. Recently, it has been reported in both Arabidopsis and rice that TIFY genes, and especially JAZ genes, may be involved in plant defense against insect feeding, wounding, pathogens and abiotic stresses. Nonetheless, knowledge concerning the specific expression patterns and evolutionary history of plant TIFY family members is limited, especially in a woody species such as grape. Methodology/Principal Findings A total of two TIFY, four ZML, two PPD and 11 JAZ genes were identified in the Vitis vinifera genome. Phylogenetic analysis of TIFY protein sequences from grape, Arabidopsis and rice indicated that the grape TIFY proteins are more closely related to those of Arabidopsis than those of rice. Both segmental and tandem duplication events have been major contributors to the expansion of the grape TIFY family. In addition, synteny analysis between grape and Arabidopsis demonstrated that homologues of several grape TIFY genes were found in the corresponding syntenic blocks of Arabidopsis, suggesting that these genes arose before the divergence of lineages that led to grape and Arabidopsis. Analyses of microarray and quantitative real-time RT-PCR expression data revealed that grape TIFY genes are not a major player in the defense against biotrophic pathogens or viruses. However, many of these genes were responsive to JA and ABA, but not SA or ET. Conclusion The genome-wide identification, evolutionary and expression analyses of grape TIFY genes should facilitate further research of this gene family and provide new insights regarding their evolutionary history and regulatory control. PMID:22984514

  15. Automated frequency domain system identification of a large space structure

    NASA Technical Reports Server (NTRS)

    Yam, Y.; Bayard, D. S.; Hadaegh, F. Y.; Mettler, E.; Milman, M. H.

    1989-01-01

    This paper presents the development and experimental results of an automated on-orbit system identification method for large flexible spacecraft that yields estimated quantities to support on-line design and tuning of robust high performance control systems. The procedure consists of applying an input to the plant, obtaining an output, and then conducting nonparametric identification to yield the spectral estimate of the system transfer function. A parametric model is determined by curve fitting the spectral estimate to a rational transfer function. The identification method has been demonstrated experimentally on the Large Spacecraft Control Laboratory in JPL.

  16. Yersinia spp. Identification Using Copy Diversity in the Chromosomal 16S rRNA Gene Sequence.

    PubMed

    Hao, Huijing; Liang, Junrong; Duan, Ran; Chen, Yuhuang; Liu, Chang; Xiao, Yuchun; Li, Xu; Su, Mingming; Jing, Huaiqi; Wang, Xin

    2016-01-01

    API 20E strip test, the standard for Enterobacteriaceae identification, is not sufficient to discriminate some Yersinia species for some unstable biochemical reactions and the same biochemical profile presented in some species, e.g. Yersinia ferderiksenii and Yersinia intermedia, which need a variety of molecular biology methods as auxiliaries for identification. The 16S rRNA gene is considered a valuable tool for assigning bacterial strains to species. However, the resolution of the 16S rRNA gene may be insufficient for discrimination because of the high similarity of sequences between some species and heterogeneity within copies at the intra-genomic level. In this study, for each strain we randomly selected five 16S rRNA gene clones from 768 Yersinia strains, and collected 3,840 sequences of the 16S rRNA gene from 10 species, which were divided into 439 patterns. The similarity among the five clones of 16S rRNA gene is over 99% for most strains. Identical sequences were found in strains of different species. A phylogenetic tree was constructed using the five 16S rRNA gene sequences for each strain where the phylogenetic classifications are consistent with biochemical tests; and species that are difficult to identify by biochemical phenotype can be differentiated. Most Yersinia strains form distinct groups within each species. However Yersinia kristensenii, a heterogeneous species, clusters with some Yersinia enterocolitica and Yersinia ferderiksenii/intermedia strains, while not affecting the overall efficiency of this species classification. In conclusion, through analysis derived from integrated information from multiple 16S rRNA gene sequences, the discrimination ability of Yersinia species is improved using our method.

  17. Identification of Novel Tumor Suppressor Genes in Breast Cancer Using Gene Tapping Technique

    DTIC Science & Technology

    2001-10-01

    surface antigen. Fumarase precursor (FH) mRNA, nuclear gene encoding mitochondrial protein. DNA-binding protein (GLI3). Succinate dehydrogenase iron...mitochondrial protein. Succinate dehydrogenase iron-protein subunit (sdhB) gene. Lyn niRNA encoding a tyrosine kinase. - 12- Unpublished Results mRNA for...from the other allele can be inhibited by using an inducible antisense vector [16] or small RNA inhibitors (RNAi) [17]. The library is an asset to

  18. SFM: A novel sequence-based fusion method for disease genes identification and prioritization.

    PubMed

    Yousef, Abdulaziz; Moghadam Charkari, Nasrollah

    2015-10-21

    The identification of disease genes from human genome is of great importance to improve diagnosis and treatment of disease. Several machine learning methods have been introduced to identify disease genes. However, these methods mostly differ in the prior knowledge used to construct the feature vector for each instance (gene), the ways of selecting negative data (non-disease genes) where there is no investigational approach to find them and the classification methods used to make the final decision. In this work, a novel Sequence-based fusion method (SFM) is proposed to identify disease genes. In this regard, unlike existing methods, instead of using a noisy and incomplete prior-knowledge, the amino acid sequence of the proteins which is universal data has been carried out to present the genes (proteins) into four different feature vectors. To select more likely negative data from candidate genes, the intersection set of four negative sets which are generated using distance approach is considered. Then, Decision Tree (C4.5) has been applied as a fusion method to combine the results of four independent state-of the-art predictors based on support vector machine (SVM) algorithm, and to make the final decision. The experimental results of the proposed method have been evaluated by some standard measures. The results indicate the precision, recall and F-measure of 82.6%, 85.6% and 84, respectively. These results confirm the efficiency and validity of the proposed method.

  19. Identification of novel genes expressed during host infection in Streptococcus equi ssp. zooepidemicus ATCC35246.

    PubMed

    Ma, Zhe; Yu, Lei; Zhou, Hong; Liu, Tingting; Xu, Bin; Ma, Fang; Peng, Jie; Fan, Hongjie

    2015-02-01

    Infection with Streptococcus equi ssp. zooepidemicus (Streptococcus zooepidemicus, SEZ) can cause septicemia, meningitis, and mastitis in domesticated species. Identification of this organism's virulence factors is an effective way of clarifying its pathogenic mechanism. We employed in vivo-induced antigen technology (IVIAT) to find bacterial genes that were only expressed or upregulated in an infected host (IVI genes). Convalescent-phase sera from pigs infected with SEZ were pooled, adsorbed against in vitro antigens, and used to screen SEZ genomic expression libraries. This analysis identified 43 genes as IVI genes. Six of these 43 genes were verified via real-time PCR. Following the analysis, we were able to assign a putative function to 36 of the 43 proteins. These proteins included those involved in virulence and adaptation; formation of intermediary products; gene replication, transcription and expression; energy metabolism; transport and also various proteins of unknown function. The relationship between sagD gene and bacterial virulence was confirmed. This study provides new molecular data for the study of streptococcal disease in swine and is important for identifying the pathogenic mechanisms of SEZ.

  20. Identification and Network-Enabled Characterization of Auxin Response Factor Genes in Medicago truncatula

    PubMed Central

    Burks, David J.; Azad, Rajeev K.

    2016-01-01

    The Auxin Response Factor (ARF) family of transcription factors is an important regulator of environmental response and symbiotic nodulation in the legume Medicago truncatula. While previous studies have identified members of this family, a recent spurt in gene expression data coupled with genome update and reannotation calls for a reassessment of the prevalence of ARF genes and their interaction networks in M. truncatula. We performed a comprehensive analysis of the M. truncatula genome and transcriptome that entailed search for novel ARF genes and the co-expression networks. Our investigation revealed 8 novel M. truncatula ARF (MtARF) genes, of the total 22 identified, and uncovered novel gene co-expression networks as well. Furthermore, the topological clustering and single enrichment analysis of several network models revealed the roles of individual members of the MtARF family in nitrogen regulation, nodule initiation, and post-embryonic development through a specialized protein packaging and secretory pathway. In summary, this study not just shines new light on an important gene family, but also provides a guideline for identification of new members of gene families and their functional characterization through network analyses. PMID:28018393

  1. Soluble methane monooxygenase component B gene probe for identification of methanotrophs that rapidly degrade trichloroethylene.

    PubMed Central

    Tsien, H C; Hanson, R S

    1992-01-01

    Restriction fragment length polymorphisms, Western blot (immunoblot) analysis, and fluorescence-labelled signature probes were used for the characterization of methanotrophic bacteria as well as for the identification of methanotrophs which contained the soluble methane monooxygenase (MMO) gene and were able to degrade trichloroethylene (TCE). The gene encoding a soluble MMO component B protein from Methylosinus trichosporium OB3b was cloned. It contained a 2.2-kb EcoRI fragment. With this cloned component B gene as probe, methanotroph types I, II, and X and environmental and bioreactor samples were screened for the presence of the gene encoding soluble MMO. Fragments produced by digestion of DNA with rare cutting restriction endonucleases were separated by pulsed-field gel electrophoresis and transferred to Zeta-Probe membrane (Bio-Rad) for Southern blot analysis. Samples were also analyzed for the presence of soluble MMO by Western blot analysis and the ability to degrade TCE. The physiological groups of methanotrophs in each sample were determined by hybridizing cells with fluorescence-labelled signature probes. Among twelve pure or mixed cultures, DNA fragments of seven methanotrophs hybridized with the soluble MMO B gene probe. When grown in media with limited copper, all of these bacteria degraded TCE. All of them are type II methanotrophs. The soluble MMO component B gene of the type X methanotroph, Methylococcus capsulatus Bath, did not hybridize to the M. trichosporium OB3b soluble MMO component B gene probe, although M. capsulatus Bath also produces a soluble MMO. Images PMID:1349468

  2. DriverDB: an exome sequencing database for cancer driver gene identification

    PubMed Central

    Cheng, Wei-Chung; Chung, I-Fang; Chen, Chen-Yang; Sun, Hsing-Jen; Fen, Jun-Jeng; Tang, Wei-Chun; Chang, Ting-Yu; Wong, Tai-Tong; Wang, Hsei-Wei

    2014-01-01

    Exome sequencing (exome-seq) has aided in the discovery of a huge amount of mutations in cancers, yet challenges remain in converting oncogenomics data into information that is interpretable and accessible for clinical care. We constructed DriverDB (http://ngs.ym.edu.tw/driverdb/), a database which incorporates 6079 cases of exome-seq data, annotation databases (such as dbSNP, 1000 Genome and Cosmic) and published bioinformatics algorithms dedicated to driver gene/mutation identification. We provide two points of view, ‘Cancer’ and ‘Gene’, to help researchers to visualize the relationships between cancers and driver genes/mutations. The ‘Cancer’ section summarizes the calculated results of driver genes by eight computational methods for a specific cancer type/dataset and provides three levels of biological interpretation for realization of the relationships between driver genes. The ‘Gene’ section is designed to visualize the mutation information of a driver gene in five different aspects. Moreover, a ‘Meta-Analysis’ function is provided so researchers may identify driver genes in customer-defined samples. The novel driver genes/mutations identified hold potential for both basic research and biotech applications. PMID:24214964

  3. Identification of genes associated with tumorigenesis of meibomian cell carcinoma by microarray analysis.

    PubMed

    Kumar, Arun; Kumar Dorairaj, Syril; Prabhakaran, Venkatesh C; Prakash, D Ravi; Chakraborty, Sanjukta

    2007-11-01

    Meibomian cell carcinoma (MCC) is a malignant tumor of the meibomian glands located in the eyelids. No information exists on the cytogenetic and genetic aspects of MCC. There is no report on the gene expression profile of MCC. Thus there is a need, for both scientific and clinical reasons, to identify genes and pathways that are involved in the development and progression of MCC. We analyzed the gene expression profile of MCC by the microarray technique. Forty-four genes were upregulated and 149 genes were downregulated in MCC. Differential expression data were confirmed for 5 genes by semiquantitative RT-PCR in MCC tumors: GTF2H4, RBM12, UBE2D3, DDX17, and LZTS1. We found dysregulation of two major pathways in MCC: MAPK and JAK/STAT. Clusters of genes on chromosomes 1, 12, and 19 were dysregulated in MCC. The data presented here will facilitate the identification of specific markers and therapeutic targets for the treatment of MCC patients.

  4. Identification of Genes Discriminating Multiple Sclerosis Patients from Controls by Adapting a Pathway Analysis Method

    PubMed Central

    Zhang, Lei; Wang, Linlin; Tian, Pu

    2016-01-01

    The focus of analyzing data from microarray experiments has shifted from the identification of associated individual genes to that of associated biological pathways or gene sets. In bioinformatics, a feature selection algorithm is usually used to cope with the high dimensionality of microarray data. In addition to those algorithms that use the biological information contained within a gene set as a priori to facilitate the process of feature selection, various gene set analysis methods can be applied directly or modified readily for the purpose of feature selection. Significance analysis of microarray to gene-set reduction analysis (SAM-GSR) algorithm, a novel direction of gene set analysis, is one of such methods. Here, we explore the feature selection property of SAM-GSR and provide a modification to better achieve the goal of feature selection. In a multiple sclerosis (MS) microarray data application, both SAM-GSR and our modification of SAM-GSR perform well. Our results show that SAM-GSR can carry out feature selection indeed, and modified SAM-GSR outperforms SAM-GSR. Given pathway information is far from completeness, a statistical method capable of constructing biologically meaningful gene networks is of interest. Consequently, both SAM-GSR algorithms will be continuously revaluated in our future work, and thus better characterized. PMID:27846233

  5. Molecular Identification and Quantification of Tetracycline and Erythromycin Resistance Genes in Spanish and Italian Retail Cheeses

    PubMed Central

    Flórez, Ana Belén; Alegría, Ángel; Delgado, Susana

    2014-01-01

    Large antibiotic resistance gene pools in the microbiota of foods may ultimately pose a risk for human health. This study reports the identification and quantification of tetracycline- and erythromycin-resistant populations, resistance genes, and gene diversity in traditional Spanish and Italian cheeses, via culturing, conventional PCR, real-time quantitative PCR (qPCR), and denaturing gradient gel electrophoresis (DGGE). The numbers of resistant bacteria varied widely among the antibiotics and the different cheese varieties; in some cheeses, all the bacterial populations seemed to be resistant. Up to eight antibiotic resistance genes were sought by gene-specific PCR, six with respect to tetracycline, that is, tet(K), tet(L), tet(M), tet(O), tet(S), and tet(W), and two with respect to erythromycin, that is, erm(B) and erm(F). The most common resistance genes in the analysed cheeses were tet(S), tet(W), tet(M), and erm(B). The copy numbers of these genes, as quantified by qPCR, ranged widely between cheeses (from 4.94 to 10.18log⁡10/g). DGGE analysis revealed distinct banding profiles and two polymorphic nucleotide positions for tet(W)-carrying cheeses, though the similarity of the sequences suggests this tet(W) to have a monophyletic origin. Traditional cheeses would therefore appear to act as reservoirs for large numbers of many types of antibiotic resistance determinants. PMID:25302306

  6. Identification of differentially expressed genes and their subpathways in recurrent versus primary bone giant cell tumors.

    PubMed

    Chen, Shuxin; Li, Chunquan; Wu, Bingli; Zhang, Chunlong; Liu, Cheng; Lin, Xiaoxu; Wu, Xiangqiao; Sun, Lingling; Liu, Chunpeng; Chen, Bo; Zhong, Zhigang; Xu, Liyan; Li, Enmin

    2014-09-01

    Giant cell tumor (GCT) of the bone is a benign but locally aggressive bone neoplasm with a strong tendency to develop local recurrent and metastatic disease. Thus, it provides a useful model system for the identification of biological mechanisms involved in bone tumor progression and metastasis. This study profiled 24 cases of recurrent versus primary bone GCT tissues using QuantiGene 2.0 Multiplex Arrays that included Human p53 80-Plex Panels and Human Stem Cell 80-Plex Panels. A total of 32 differentially expressed genes were identified, including the 20 most upregulated genes and the 12 most downregulated genes in recurrent GCT. The genes identified are related to cell growth, adhesion, apoptosis, signal transduction and bone formation. Furthermore, iSubpathwayMiner analyses were performed to identify significant biological pathway regions (subpathway) associated with this disease. The pathway analysis identified 11 statistically significant enriched subpathways, including pathways in cancer, p53 signaling pathway, osteoclast differentiation pathway and Wnt signaling pathway. Among these subpathways, four genes (IGF1, MDM2, STAT1 and RAC1) were presumed to play an important role in bone GCT recurrence. The differentially expressed MDM2 protein was immunohistochemically confirmed in the recurrent versus primary bone GCT tissues. This study identified differentially expressed genes and their subpathways in recurrent GCT, which may serve as potential biomarkers for the prediction of GCT recurrence.

  7. Characterization of transcriptome and identification of biomineralization genes in winged pearl oyster (Pteria penguin) mantle tissue.

    PubMed

    Li, Haimei; Liu, Baosuo; Huang, Guiju; Fan, Sigang; Zhang, Bo; Su, Jiaqi; Yu, Dahui

    2017-03-01

    The winged pearl oyster Pteria penguin is a commercially important marine pearl oyster species, with pearls that are quite different from those of other pearl oysters. Among such species, mantle tissue is the main organ responsible for shell and pearl formation, a biomineralization process that is regulated by a series of genes, most of which remain unknown. In this study, we sequenced and characterized the transcriptome of P. penguin mantle tissue using the HiSeq 2000 sequencing platform. A total of 93,204 unique transcripts were assembled from 51,580,076 quality reads, with a mean length of 608bp, and 40,974 unigenes were annotated. The sequence data enabled the identification of 79,702 potential single nucleotide polymorphism loci and 4345 putative simple sequence repeat loci. A total of 71 unique transcripts were identified homologous to known biomineralization genes, including mantle gene, nacrein, pearlin, pif, chitinase, and shematrin, of which only 3 were previously reported in P. penguin. qPCR analysis indicated that 10 randomly selected biomineralization genes were much more highly expressed in mantle tissue than in the other tissues. In addition, 30 unique sequences were identified as highly expressed, with FPKM values of >3000, and most of these were biomineralization-related genes, including shematrin family genes, a jacalin-related lectin synthesis gene, calponin-2, and paramyosin. These findings will be useful for future studies of biomineralization in P. penguin, as well as in other Pteria species.

  8. Identification of Candidate B-Lymphoma Genes by Cross-Species Gene Expression Profiling

    PubMed Central

    Tompkins, Van S.; Han, Seong-Su; Olivier, Alicia; Syrbu, Sergei; Bair, Thomas; Button, Anna; Jacobus, Laura; Wang, Zebin; Lifton, Samuel; Raychaudhuri, Pradip; Morse, Herbert C.; Weiner, George; Link, Brian; Smith, Brian J.; Janz, Siegfried

    2013-01-01

    Comparative genome-wide expression profiling of malignant tumor counterparts across the human-mouse species barrier has a successful track record as a gene discovery tool in liver, breast, lung, prostate and other cancers, but has been largely neglected in studies on neoplasms of mature B-lymphocytes such as diffuse large B cell lymphoma (DLBCL) and Burkitt lymphoma (BL). We used global gene expression profiles of DLBCL-like tumors that arose spontaneously in Myc-transgenic C57BL/6 mice as a phylogenetically conserved filter for analyzing the human DLBCL transcriptome. The human and mouse lymphomas were found to have 60 concordantly deregulated genes in common, including 8 genes that Cox hazard regression analysis associated with overall survival in a published landmark dataset of DLBCL. Genetic network analysis of the 60 genes followed by biological validation studies indicate FOXM1 as a candidate DLBCL and BL gene, supporting a number of studies contending that FOXM1 is a therapeutic target in mature B cell tumors. Our findings demonstrate the value of the “mouse filter” for genomic studies of human B-lineage neoplasms for which a vast knowledge base already exists. PMID:24130802

  9. Genome-wide identification and analysis of the MADS-box gene family in apple.

    PubMed

    Tian, Yi; Dong, Qinglong; Ji, Zhirui; Chi, Fumei; Cong, Peihua; Zhou, Zongshan

    2015-01-25

    The MADS-box gene family is one of the most widely studied families in plants and has diverse developmental roles in flower pattern formation, gametophyte cell division and fruit differentiation. Although the genome-wide analysis of this family has been performed in some species, little is known regarding MADS-box genes in apple (Malus domestica). In this study, 146 MADS-box genes were identified in the apple genome and were phylogenetically clustered into six subgroups (MIKC(c), MIKC*, Mα, Mβ, Mγ and Mδ) with the MADS-box genes from Arabidopsis and rice. The predicted apple MADS-box genes were distributed across all 17 chromosomes at different densities. Additionally, the MADS-box domain, exon length, gene structure and motif compositions of the apple MADS-box genes were analysed. Moreover, the expression of all of the apple MADS-box genes was analysed in the root, stem, leaf, flower tissues and five stages of fruit development. All of the apple MADS-box genes, with the exception of some genes in each group, were expressed in at least one of the tissues tested, which indicates that the MADS-box genes are involved in various aspects of the physiological and developmental processes of the apple. To the best of our knowledge, this report describes the first genome-wide analysis of the apple MADS-box gene family, and the results should provide valuable information for understanding the classification, cloning and putative functions of this family.

  10. Sequential Multisine Excitation Signals for System Identification of Large Space Structures

    DTIC Science & Technology

    2005-09-06

    Linear system identification of complex nonlinear systems, such as large space structures, can be difficult because such systems are often lightly...used to collect frequency response data for linear system identification are poorly suited to systems that exhibit nonlinear responses. Specifically

  11. Proceedings of the Workshop on Identification and Control of Flexible Space Structures, Volume 3

    NASA Technical Reports Server (NTRS)

    Rodriguez, G. (Editor)

    1985-01-01

    The results of a workshop on identification and control of flexible space structures are reported. This volume deals mainly with control theory and methodologies as they apply to space stations and large antennas. Integration and dynamics and control experimental findings are reported. Among the areas of control theory discussed were feedback, optimization, and parameter identification.

  12. The construction of Arabidopsis expressed sequence tag assemblies. A new resource to facilitate gene identification.

    PubMed Central

    Rounsley, S D; Glodek, A; Sutton, G; Adams, M D; Somerville, C R; Venter, J C; Kerlavage, A R

    1996-01-01

    The generation of large numbers of partial cDNA sequences, or expressed sequence tags (ESTs), has provided a method with which to sample a large number of genes from an organism. More than 25,000 Arabidopsis thaliana ESTs have been deposited in public databases, producing the largest collection of ESTs for any plant species. We describe here the application of a method of reducing redundancy and increasing information content in this collection by grouping overlapping ESTs representing the same gene into a "contig" or assembly. The increased information content of these assemblies allows more putative identifications to be assigned based on the results of similarity searches with nucleotide and protein databases. The results of this analysis indicate that sequence information is available for approximately 12,600 nonoverlapping ESTs from Arabidopsis. Comparison of the assemblies with 953 Arabidopsis coding sequences indicates that up to 57% of all Arabidopsis genes are represented by an EST. Clustering analysis of these sequences suggests that between 300 and 700 gene families are represented by between 700 and 2000 sequences in the EST database. A database of the assembled sequences, their putative identifications, and cellular roles is available through the World Wide Web. PMID:8938416

  13. Global identification and expression analysis of stress-responsive genes of the Argonaute family in apple.

    PubMed

    Xu, Ruirui; Liu, Caiyun; Li, Ning; Zhang, Shizhong

    2016-12-01

    Argonaute (AGO) proteins, which are found in yeast, animals, and plants, are the core molecules of the RNA-induced silencing complex. These proteins play important roles in plant growth, development, and responses to biotic stresses. The complete analysis and classification of the AGO gene family have been recently reported in different plants. Nevertheless, systematic analysis and expression profiling of these genes have not been performed in apple (Malus domestica). Approximately 15 AGO genes were identified in the apple genome. The phylogenetic tree, chromosome location, conserved protein motifs, gene structure, and expression of the AGO gene family in apple were analyzed for gene prediction. All AGO genes were phylogenetically clustered into four groups (i.e., AGO1, AGO4, MEL1/AGO5, and ZIPPY/AGO7) with the AGO genes of Arabidopsis. These groups of the AGO gene family were statistically analyzed and compared among 31 plant species. The predicted apple AGO genes are distributed across nine chromosomes at different densities and include three segment duplications. Expression studies indicated that 15 AGO genes exhibit different expression patterns in at least one of the tissues tested. Additionally, analysis of gene expression levels indicated that the genes are mostly involved in responses to NaCl, PEG, heat, and low-temperature stresses. Hence, several candidate AGO genes are involved in different aspects of physiological and developmental processes and may play an important role in abiotic stress responses in apple. To the best of our knowledge, this study is the first to report a comprehensive analysis of the apple AGO gene family. Our results provide useful information to understand the classification and putative functions of these proteins, especially for gene members that may play important roles in abiotic stress responses in M. hupehensis.

  14. Identification and isolation of stimulator of interferon genes (STING): an innate immune sensory and adaptor gene from camelids.

    PubMed

    Premraj, A; Aleyas, A G; Nautiyal, B; Rasool, T J

    2013-10-01

    The mechanism by which type I interferon-mediated antiviral response is mounted by hosts against invading pathogen is an intriguing one. Of late, an endoplasmic reticulum transmembrane protein encoded by a gene called stimulator of interferon genes (STING) is implicated in the innate signalling pathways and has been identified and cloned in few mammalian species including human, mouse and pig. In this article, we report the identification of STING from three different species of a highly conserved family of mammals - the camelids. cDNAs encoding the STING of Old World camels - dromedary camel (Camelus dromedarius) and bactrian camel (Camelus bactrianus) and a New World camel - llama (Llama glama) were amplified using conserved primers and RACE. The complete STING cDNA of dromedary camel is 2171 bp long with a 706-bp 5' untranslated regions (UTR), an 1137-bp open reading frame (ORF) and a 328-bp 3' UTR. Sequence and phylogenetic analysis of the ORF of STING from these three camelids indicate high level of similarity among camelids and conservation of critical amino acid residues across different species. Quantitative real-time PCR analysis revealed high levels of STING mRNA expression in blood, spleen, lymph node and lung. The identification of camelid STING will help in better understanding of the role of this molecule in the innate immunity of the camelids and other mammals.

  15. Identification of a genomic reservoir for new TRIM genes in primate genomes.

    PubMed

    Han, Kyudong; Lou, Dianne I; Sawyer, Sara L

    2011-12-01

    Tripartite Motif (TRIM) ubiquitin ligases act in the innate immune response against viruses. One of the best characterized members of this family, TRIM5α, serves as a potent retroviral restriction factor with activity against HIV. Here, we characterize what are likely to be the youngest TRIM genes in the human genome. For instance, we have identified 11 TRIM genes that are specific to humans and African apes (chimpanzees, bonobos, and gorillas) and another 7 that are human-specific. Many of these young genes have never been described, and their identification brings the total number of known human TRIM genes to approximately 100. These genes were acquired through segmental duplications, most of which originated from a single locus on chromosome 11. Another polymorphic duplication of this locus has resulted in these genes being copy number variable within the human population, with a Han Chinese woman identified as having 12 additional copies of these TRIM genes compared to other individuals screened in this study. Recently, this locus was annotated as one of 34 "hotspot" regions that are also copy number variable in the genomes of chimpanzees and rhesus macaques. Most of the young TRIM genes originating from this locus are expressed, spliced, and contain signatures of positive natural selection in regions known to determine virus recognition in TRIM5α. However, we find that they do not restrict the same retroviruses as TRIM5α, consistent with the high degree of divergence observed in the regions that control target specificity. We propose that this recombinationally volatile locus serves as a reservoir from which new TRIM genes arise through segmental duplication, allowing primates to continually acquire new antiviral genes that can be selected to target new and evolving pathogens.

  16. Nanoscale structure of protamine/DNA complexes for gene delivery

    NASA Astrophysics Data System (ADS)

    Motta, Simona; Brocca, Paola; Del Favero, Elena; Rondelli, Valeria; Cantù, Laura; Amici, Augusto; Pozzi, Daniela; Caracciolo, Giulio

    2013-02-01

    Understanding the internal packing of gene carriers is a key-factor to realize both gene protection during transport and de-complexation at the delivery site. Here, we investigate the structure of complexes formed by DNA fragments and protamine, applied in gene delivery. We found that complexes are charge- and size-tunable aggregates, depending on the protamine/DNA ratio, hundred nanometers in size. Their compactness and fractal structure depend on the length of the DNA fragments. Accordingly, on the local scale, the sites of protamine/DNA complexation assume different morphologies, seemingly displaying clumping ability for the DNA network only for shorter DNA fragments.

  17. Genome-wide identification of the TIFY gene family in three cultivated Gossypium species and the expression of JAZ genes

    PubMed Central

    Sun, Quan; Wang, Guanghao; Zhang, Xiao; Zhang, Xiangrui; Qiao, Peng; Long, Lu; Yuan, Youlu; Cai, Yingfan

    2017-01-01

    TIFY proteins are plant-specific proteins containing TIFY, JAZ, PPD and ZML subfamilies. A total of 50, 54 and 28 members of the TIFY gene family in three cultivated cotton species—Gossypium hirsutum, Gossypium barbadense and Gossypium arboretum—were identified, respectively. The results of phylogenetic analysis showed that these TIFY genes were divided into eight clusters. The different clusters of gene family members often have similar gene structures, including the number of exons. The results of quantitative reverse transcription polymerase chain reaction (qRT-PCR) showed that different JAZ genes displayed distinct expression patterns in the leaves of upland cotton under treatment with Gibberellin (GA), methyl jasmonate (MeJA), Jasmonic acid (JA) and abscisic acid (ABA). Different groups of JAZ genes exhibited different expression patterns in cotton leaves infected with Verticillium dahliae. The results of the comparative analysis of TIFY genes in the three cultivated species will be useful for understanding the involvement of these genes in development and stress resistance in cotton. PMID:28186193

  18. Characterization and Functional Analysis of Five MADS-Box B Class Genes Related to Floral Organ Identification in Tagetes erecta

    PubMed Central

    Ai, Ye; Zhang, Chunling; Sun, Yalin; Wang, Weining; Bao, Manzhu

    2017-01-01

    According to the floral organ development ABC model, B class genes specify petal and stamen identification. In order to study the function of B class genes in flower development of Tagetes erecta, five MADS-box B class genes were identified and their expression and putative functions were studied. Sequence comparisons and phylogenetic analyses indicated that there were one PI-like gene—TePI, two euAP3-like genes—TeAP3-1 and TeAP3-2, and two TM6-like genes—TeTM6-1 and TeTM6-2 in T. erecta. Strong expression levels of these genes were detected in stamens of the disk florets, but little or no expression was detected in bracts, receptacles or vegetative organs. Yeast hybrid experiments of the B class proteins showed that TePI protein could form a homodimer and heterodimers with all the other four B class proteins TeAP3-1, TeAP3-2, TeTM6-1 and TeTM6-2. No homodimer or interaction was observed between the euAP3 and TM6 clade members. Over-expression of five B class genes of T. erecta in Nicotiana rotundifolia showed that only the transgenic plants of 35S::TePI showed altered floral morphology compared with the non-transgenic line. This study could contribute to the understanding of the function of B class genes in flower development of T. erecta, and provide a theoretical basis for further research to change floral organ structures and create new materials for plant breeding. PMID:28081202

  19. Identification of genes involved in the biology of atypical teratoid/rhabdoid tumours using Drosophila melanogaster

    NASA Astrophysics Data System (ADS)

    Jeibmann, Astrid; Eikmeier, Kristin; Linge, Anna; Kool, Marcel; Koos, Björn; Schulz, Jacqueline; Albrecht, Stefanie; Bartelheim, Kerstin; Frühwald, Michael C.; Pfister, Stefan M.; Paulus, Werner; Hasselblatt, Martin

    2014-06-01

    Atypical teratoid/rhabdoid tumours (AT/RT) are malignant brain tumours. Unlike most other human brain tumours, AT/RT are characterized by inactivation of one single gene, SMARCB1. SMARCB1 is a member of the evolutionarily conserved SWI/SNF chromatin remodelling complex, which has an important role in the control of cell differentiation and proliferation. Little is known, however, about the pathways involved in the oncogenic effects of SMARCB1 inactivation, which might also represent targets for treatment. Here we report a comprehensive genetic screen in the fruit fly that revealed several genes not yet associated with loss of snr1, the Drosophila homologue of SMARCB1. We confirm the functional role of identified genes (including merlin, kibra and expanded, known to regulate hippo signalling pathway activity) in human rhabdoid tumour cell lines and AT/RT tumour samples. These results demonstrate that fly models can be employed for the identification of clinically relevant pathways in human cancer.

  20. Identification of nine novel arylsulfatase a (ARSA) gene mutations in patients with metachromatic leukodystrophy (MLD).

    PubMed

    Eng, Barry; Nakamura, Lisa N; O'Reilly, Natasha; Schokman, Natasha; Nowaczyk, Magorzata M J; Krivit, William; Waye, John S

    2003-11-01

    Metachromatic leukodystrophy (MLD) is a rare autosomal recessive disorder caused by mutations of the arylsulfatase A (ARSA) gene. We have investigated more than fifty MLD patients using allele-specific PCR assays to detect the pseudodeficiency (PD) allele and several common MLD mutations, followed by comprehensive nucleotide sequencing of the ARSA gene to detect rare or private mutations. Here we report the identification of nine novel microlesions in the ARSA gene: five missense mutations (c.464C>T, c.542T>A, c.916T>C, c.973G>A, c.1286A>C), three frameshift mutations (c.205_206delTG, c.489_495del, c.1483_1486dup), and one splice donor site mutation (c.973+1G>A). Comprehensive mutation detection has facilitated carrier detection and prenatal diagnosis for several at-risk MLD families.

  1. Vector Integration Sites Identification for Gene-Trap Screening in Mammalian Haploid Cells

    PubMed Central

    Yu, Jian; Ciaudo, Constance

    2017-01-01

    Forward genetic screens using retroviral (or transposon) gene-trap vectors in a haploid genome revolutionized the investigation of molecular networks in mammals. However, the sequencing data generated by Phenotypic interrogation followed by Tag sequencing (PhiT-seq) were not well characterized. The analysis of human and mouse haploid screens allowed us to describe PhiT-seq data and to define quality control steps. Moreover, we identified several blind spots in both haploid genomes where gene-trap vectors can hardly integrate. Integration of transcriptomic data improved the performance of candidate gene identification. Furthermore, we experimented with various statistical tests to account for biological replicates in PhiT-seq and investigated the effect of normalization methods and other parameters on the performance. Finally, we developed: VISITs, a dedicated pipeline for analyzing PhiT-seq data (https://sourceforge.net/projects/visits/). PMID:28303933

  2. Identification of Ramie Genes in Response to Pratylenchus coffeae Infection Challenge by Digital Gene Expression Analysis

    PubMed Central

    Yu, Yongting; Zeng, Liangbin; Yan, Zhun; Liu, Touming; Sun, Kai; Zhu, Taotao; Zhu, Aiguo

    2015-01-01

    Root lesion disease, caused by Pratylenchus coffeae, seriously impairs the growth and yield of ramie, an important natural fiber crop. The ramie defense mechanism against P. coffeae infection is poorly understood, which hinders efforts to improve resistance via breeding programs. In this study, the transcriptome of the resistant ramie cultivar Qingdaye was characterized using Illumina sequence technology. About 46.3 million clean pair end (PE) reads were generated and assembled into 40,826 unigenes with a mean length of 830 bp. Digital gene expression (DGE) analysis was performed on both the control roots (CK) and P. coffeae-challenged roots (CH), and the differentially expressed genes (DEGs) were identified. Approximately 10.16 and 8.07 million cDNA reads in the CK and CH cDNA libraries were sequenced, respectively. A total of 137 genes exhibited different transcript abundances between the two libraries. Among them, the expressions of 117 and 20 DEGs were up- and down-regulated in P. coffeae-challenged ramie, respectively. The expression patterns of 15 candidate genes determined by qRT-PCR confirmed the results of DGE analysis. Time-course expression profiles of eight defense-related genes in susceptible and resistant ramie cultivars were different after P. coffeae inoculation. The differential expression of protease inhibitors, pathogenesis-related proteins (PRs), and transcription factors in resistant and susceptible ramie during P. coffeae infection indicated that cystatin likely plays an important role in nematode resistance. PMID:26378527

  3. Gene array identification of Ipf1/Pdx1-/- regulated genes in pancreatic progenitor cells

    PubMed Central

    Svensson, Per; Williams, Cecilia; Lundeberg, Joakim; Rydén, Patrik; Bergqvist, Ingela; Edlund, Helena

    2007-01-01

    Background The homeodomain transcription factor IPF1/PDX1 exerts a dual role in the pancreas; Ipf1/Pdx1 global null mutants fail to develop a pancreas whereas conditional inactivation of Ipf1/Pdx1 in β-cells leads to impaired β-cell function and diabetes. Although several putative target genes have been linked to the β-cell function of Ipf1/Pdx1, relatively little is known with respect to genes regulated by IPF1/PDX1 in early pancreatic progenitor cells. Results Microarray analyses identified a total of 111 genes that were differentially expressed in e10.5 pancreatic buds of Ipf1/Pdx1-/- embryos. The expression of one of these, Spondin 1, which encodes an extracellular matrix protein, has not previously been described in the pancreas. Quantitative real-time RT-PCR analyses and immunohistochemical analyses also revealed that the expression of FgfR2IIIb, that encodes the receptor for FGF10, was down-regulated in Ipf1/Pdx1-/- pancreatic progenitor cells. Conclusion This microarray analysis has identified a number of candidate genes that are differentially expressed in Ipf1/Pdx1-/- pancreatic buds. Several of the differentially expressed genes were known to be important for pancreatic progenitor cell proliferation and differentiation whereas others have not previously been associated with pancreatic development. PMID:18036209

  4. Identification of Ramie Genes in Response to Pratylenchus coffeae Infection Challenge by Digital Gene Expression Analysis.

    PubMed

    Yu, Yongting; Zeng, Liangbin; Yan, Zhun; Liu, Touming; Sun, Kai; Zhu, Taotao; Zhu, Aiguo

    2015-09-11

    Root lesion disease, caused by Pratylenchus coffeae, seriously impairs the growth and yield of ramie, an important natural fiber crop. The ramie defense mechanism against P. coffeae infection is poorly understood, which hinders efforts to improve resistance via breeding programs. In this study, the transcriptome of the resistant ramie cultivar Qingdaye was characterized using Illumina sequence technology. About 46.3 million clean pair end (PE) reads were generated and assembled into 40,826 unigenes with a mean length of 830 bp. Digital gene expression (DGE) analysis was performed on both the control roots (CK) and P. coffeae-challenged roots (CH), and the differentially expressed genes (DEGs) were identified. Approximately 10.16 and 8.07 million cDNA reads in the CK and CH cDNA libraries were sequenced, respectively. A total of 137 genes exhibited different transcript abundances between the two libraries. Among them, the expressions of 117 and 20 DEGs were up- and down-regulated in P. coffeae-challenged ramie, respectively. The expression patterns of 15 candidate genes determined by qRT-PCR confirmed the results of DGE analysis. Time-course expression profiles of eight defense-related genes in susceptible and resistant ramie cultivars were different after P. coffeae inoculation. The differential expression of protease inhibitors, pathogenesis-related proteins (PRs), and transcription factors in resistant and susceptible ramie during P. coffeae infection indicated that cystatin likely plays an important role in nematode resistance.

  5. Identification of the biosynthetic gene cluster and an additional gene for resistance to the antituberculosis drug capreomycin.

    PubMed

    Felnagle, Elizabeth A; Rondon, Michelle R; Berti, Andrew D; Crosby, Heidi A; Thomas, Michael G

    2007-07-01

    Capreomycin (CMN) belongs to the tuberactinomycin family of nonribosomal peptide antibiotics that are essential components of the drug arsenal for the treatment of multidrug-resistant tuberculosis. Members of this antibiotic family target the ribosomes of sensitive bacteria and disrupt the function of both subunits of the ribosome. Resistance to these antibiotics in Mycobacterium species arises due to mutations in the genes coding for the 16S or 23S rRNA but can also arise due to mutations in a gene coding for an rRNA-modifying enzyme, TlyA. While Mycobacterium species develop resistance due to alterations in the drug target, it has been proposed that the CMN-producing bacterium, Saccharothrix mutabilis subsp. capreolus, uses CMN modification as a mechanism for resistance rather than ribosome modification. To better understand CMN biosynthesis and resistance in S. mutabilis subsp. capreolus, we focused on the identification of the CMN biosynthetic gene cluster in this bacterium. Here, we describe the cloning and sequence analysis of the CMN biosynthetic gene cluster from S. mutabilis subsp. capreolus ATCC 23892. We provide evidence for the heterologous production of CMN in the genetically tractable bacterium Streptomyces lividans 1326. Finally, we present data supporting the existence of an additional CMN resistance gene. Initial work suggests that this resistance gene codes for an rRNA-modifying enzyme that results in the formation of CMN-resistant ribosomes that are also resistant to the aminoglycoside antibiotic kanamycin. Thus, S. mutabilis subsp. capreolus may also use ribosome modification as a mechanism for CMN resistance.

  6. Identification of Lactobacillus plantarum genes modulating the cytokine response of human peripheral blood mononuclear cells

    PubMed Central

    2010-01-01

    Background Modulation of the immune system is one of the most plausible mechanisms underlying the beneficial effects of probiotic bacteria on human health. Presently, the specific probiotic cell products responsible for immunomodulation are largely unknown. In this study, the genetic and phenotypic diversity of strains of the Lactobacillus plantarum species were investigated to identify genes of L. plantarum with the potential to influence the amounts of cytokines interleukin 10 (IL-10) and IL-12 and the ratio of IL-10/IL-12 produced by peripheral blood mononuclear cells (PBMCs). Results A total of 42 Lactobacillus plantarum strains isolated from diverse environmental and human sources were evaluated for their capacity to stimulate cytokine production in PBMCs. The L. plantarum strains induced the secretion of the anti-inflammatory cytokine IL-10 over an average 14-fold range and secretion of the pro-inflammatory cytokine IL-12 over an average 16-fold range. Comparisons of the strain-specific cytokine responses of PBMCs to comparative genome hybridization profiles obtained with L. plantarum WCFS1 DNA microarrays (also termed gene-trait matching) resulted in the identification of 6 candidate genetic loci with immunomodulatory capacities. These loci included genes encoding an N-acetyl-glucosamine/galactosamine phosphotransferase system, the LamBDCA quorum sensing system, and components of the plantaricin (bacteriocin) biosynthesis and transport pathway. Deletion of these genes in L. plantarum WCFS1 resulted in growth phase-dependent changes in the PBMC IL-10 and IL-12 cytokine profiles compared with wild-type cells. Conclusions The altered PBMC cytokine profiles obtained with the L. plantarum WCFS1 mutants were in good agreement with the predictions made by gene-trait matching for the 42 L. plantarum strains. This study therefore resulted in the identification of genes present in certain strains of L. plantarum which might be responsible for the stimulation of anti

  7. Identification of Nocobactin NA Biosynthetic Gene Clusters in Nocardia farcinica▿ §

    PubMed Central

    Hoshino, Yasutaka; Chiba, Kazuhiro; Ishino, Keiko; Fukai, Toshio; Igarashi, Yasuhiro; Yazawa, Katsukiyo; Mikami, Yuzuru; Ishikawa, Jun

    2011-01-01

    We identified the biosynthetic gene clusters of the siderophore nocobactin NA. The nbt clusters, which were discovered as genes highly homologous to the mycobactin biosynthesis genes by the genomic sequencing of Nocardia farcinica IFM 10152, consist of 10 genes separately located at two genomic regions. The gene organization of the nbt clusters and the predicted functions of the nbt genes, particularly the cyclization and epimerization domains, were in good agreement with the chemical structure of nocobactin NA. Disruptions of the nbtA and nbtE genes, respectively, reduced and abolished the productivity of nocobactin NA. The heterologous expression of the nbtS gene revealed that this gene encoded a salicylate synthase. These results indicate that the nbt clusters are responsible for the biosynthesis of nocobactin NA. We also found putative IdeR-binding sequences upstream of the nbtA, -G, -H, -S, and -T genes, whose expression was more than 10-fold higher in the low-iron condition than in the high-iron condition. These results suggest that nbt genes are regulated coordinately by IdeR protein in an iron-dependent manner. The ΔnbtE mutant was found to be impaired in cytotoxicity against J774A.1 cells, suggesting that nocobactin NA production is required for virulence of N. farcinica. PMID:21097631

  8. Identification of proteins from a cell wall fraction of the diatom Thalassiosira pseudonana: insights into silica structure formation.

    PubMed

    Frigeri, Luciano G; Radabaugh, Timothy R; Haynes, Paul A; Hildebrand, Mark

    2006-01-01

    Diatoms are unicellular eucaryotic algae with cell walls containing silica, intricately and ornately structured on the nanometer scale. Overall silica structure is formed by expansion and molding of the membrane-bound silica deposition vesicle. Although molecular details of silica polymerization are being clarified, we have limited insight into molecular components of the silica deposition vesicle, particularly of membrane-associated proteins that may be involved in structure formation. To identify such proteins, we refined existing procedures to isolate an enriched cell wall fraction from the diatom Thalassiosira pseudonana, the first diatom with a sequenced genome. We applied tandem mass spectrometric analysis to this fraction, identifying 31 proteins for further evaluation. mRNA levels for genes encoding these proteins were monitored during synchronized progression through the cell cycle and compared with two previously identified silaffin genes (involved in silica polymerization) having distinct mRNA patterns that served as markers for cell wall formation. Of the 31 proteins identified, 10 had mRNA patterns that correlated with the silaffins, 13 had patterns that did not, and seven had patterns that correlated but also showed additional features. The possible involvements of these proteins in cell wall synthesis are discussed. In particular, glutamate acetyltransferase was identified, prompting an analysis of mRNA patterns for other genes in the polyamine biosynthesis pathway and identification of those induced during cell wall synthesis. Application of a specific enzymatic inhibitor for ornithine decarboxylase resulted in dramatic alteration of silica structure, confirming the involvement of polyamines and demonstrating that manipulation of proteins involved in cell wall synthesis can alter structure. To our knowledge, this is the first proteomic analysis of a diatom, and furthermore we identified new candidate genes involved in structure formation and

  9. The SOD Gene Family in Tomato: Identification, Phylogenetic Relationships, and Expression Patterns.

    PubMed

    Feng, Kun; Yu, Jiahong; Cheng, Yuan; Ruan, Meiying; Wang, Rongqing; Ye, Qingjing; Zhou, Guozhi; Li, Zhimiao; Yao, Zhuping; Yang, Yuejian; Zheng, Qingsong; Wan, Hongjian

    2016-01-01

    Superoxide dismutases (SODs) are critical antioxidant enzymes that protect organisms from reactive oxygen species (ROS) caused by adverse conditions, and have been widely found in the cytoplasm, chloroplasts, and mitochondria of eukaryotic and prokaryotic cells. Tomato (Solanum lycopersicum L.) is an important economic crop and is cultivated worldwide. However, abiotic and biotic stresses severely hinder growth and development of the plant, which affects the production and quality of the crop. To reveal the potential roles of SOD genes under various stresses, we performed a systematic analysis of the tomato SOD gene family and analyzed the expression patterns of SlSOD genes in response to abiotic stresses at the whole-genome level. The characteristics of the SlSOD gene family were determined by analyzing gene structure, conserved motifs, chromosomal distribution, phylogenetic relationships, and expression patterns. We determined that there are at least nine SOD genes in tomato, including four Cu/ZnSODs, three FeSODs, and one MnSOD, and they are unevenly distributed on 12 chromosomes. Phylogenetic analyses of SOD genes from tomato and other plant species were separated into two groups with a high bootstrap value, indicating that these SOD genes were present before the monocot-dicot split. Additionally, many cis-elements that respond to different stresses were found in the promoters of nine SlSOD genes. Gene expression analysis based on RNA-seq data showed that most genes were expressed in all tested tissues, with the exception of SlSOD6 and SlSOD8, which were only expressed in young fruits. Microarray data analysis showed that most members of the SlSOD gene family were altered under salt- and drought-stress conditions. This genome-wide analysis of SlSOD genes helps to clarify the function of SlSOD genes under different stress conditions and provides information to aid in further understanding the evolutionary relationships of SOD genes in plants.

  10. The SOD Gene Family in Tomato: Identification, Phylogenetic Relationships, and Expression Patterns

    PubMed Central

    Feng, Kun; Yu, Jiahong; Cheng, Yuan; Ruan, Meiying; Wang, Rongqing; Ye, Qingjing; Zhou, Guozhi; Li, Zhimiao; Yao, Zhuping; Yang, Yuejian; Zheng, Qingsong; Wan, Hongjian

    2016-01-01

    Superoxide dismutases (SODs) are critical antioxidant enzymes that protect organisms from reactive oxygen species (ROS) caused by adverse conditions, and have been widely found in the cytoplasm, chloroplasts, and mitochondria of eukaryotic and prokaryotic cells. Tomato (Solanum lycopersicum L.) is an important economic crop and is cultivated worldwide. However, abiotic and biotic stresses severely hinder growth and development of the plant, which affects the production and quality of the crop. To reveal the potential roles of SOD genes under various stresses, we performed a systematic analysis of the tomato SOD gene family and analyzed the expression patterns of SlSOD genes in response to abiotic stresses at the whole-genome level. The characteristics of the SlSOD gene family were determined by analyzing gene structure, conserved motifs, chromosomal distribution, phylogenetic relationships, and expression patterns. We determined that there are at least nine SOD genes in tomato, including four Cu/ZnSODs, three FeSODs, and one MnSOD, and they are unevenly distributed on 12 chromosomes. Phylogenetic analyses of SOD genes from tomato and other plant species were separated into two groups with a high bootstrap value, indicating that these SOD genes were present before the monocot-dicot split. Additionally, many cis-elements that respond to different stresses were found in the promoters of nine SlSOD genes. Gene expression analysis based on RNA-seq data showed that most genes were expressed in all tested tissues, with the exception of SlSOD6 and SlSOD8, which were only expressed in young fruits. Microarray data analysis showed that most members of the SlSOD gene family were altered under salt- and drought-stress conditions. This genome-wide analysis of SlSOD genes helps to clarify the function of SlSOD genes under different stress conditions and provides information to aid in further understanding the evolutionary relationships of SOD genes in plants. PMID:27625661

  11. Free-decay time-domain modal identification for large space structures

    NASA Technical Reports Server (NTRS)

    Kim, Hyoung M.; Vanhorn, David A.; Doiron, Harold H.

    1992-01-01

    Concept definition studies for the Modal Identification Experiment (MIE), a proposed space flight experiment for the Space Station Freedom (SSF), have demonstrated advantages and compatibility of free-decay time-domain modal identification techniques with the on-orbit operational constraints of large space structures. Since practical experience with modal identification using actual free-decay responses of large space structures is very limited, several numerical and test data reduction studies were conducted. Major issues and solutions were addressed, including closely-spaced modes, wide frequency range of interest, data acquisition errors, sampling delay, excitation limitations, nonlinearities, and unknown disturbances during free-decay data acquisition. The data processing strategies developed in these studies were applied to numerical simulations of the MIE, test data from a deployable truss, and launch vehicle flight data. Results of these studies indicate free-decay time-domain modal identification methods can provide accurate modal parameters necessary to characterize the structural dynamics of large space structures.

  12. Identification of Genes in Thuja plicata Foliar Terpenoid Defenses1[C][W][OA

    PubMed Central

    Foster, Adam J.; Hall, Dawn E.; Mortimer, Leanne; Abercromby, Shelley; Gries, Regine; Gries, Gerhard; Bohlmann, Jörg; Russell, John; Mattsson, Jim

    2013-01-01

    Thuja plicata (western redcedar) is a long-lived conifer species whose foliage is rarely affected by disease or insect pests, but can be severely damaged by ungulate browsing. Deterrence to browsing correlates with high foliar levels of terpenoids, in particular the monoterpenoid α-thujone. Here, we set out to identify genes whose products may be involved in the production of α-thujone and other terpenoids in this species. First, we generated a foliar transcriptome database from which to draw candidate genes. Second, we mapped the storage of thujones and other terpenoids to foliar glands. Third, we used global expression profiling to identify more than 600 genes that are expressed at high levels in foliage with glands, but can either not be detected or are expressed at low levels in a natural variant lacking foliar glands. Fourth, we used in situ RNA hybridization to map the expression of a putative monoterpene synthase to the epithelium of glands and used enzyme assays with recombinant protein of the same gene to show that it produces sabinene, the monoterpene precursor of α-thujone. Finally, we identified candidate genes with predicted enzymatic functions for the conversion of sabinene to α-thujone. Taken together, this approach generated both general resources and detailed functional characterization in the identification of genes of foliar terpenoid biosynthesis in T. plicata. PMID:23388118

  13. Identification of Nitrogen Use Efficiency Genes in Barley: Searching for QTLs Controlling Complex Physiological Traits

    PubMed Central

    Han, Mei; Wong, Julia; Su, Tao; Beatty, Perrin H.; Good, Allen G.

    2016-01-01

    Over the past half century, the use of nitrogen (N) fertilizers has markedly increased crop yields, but with considerable negative effects on the environment and human health. Consequently, there has been a strong push to reduce the amount of N fertilizer used by maximizing the nitrogen use efficiency (NUE) of crops. One approach would be to use classical genetics to improve the NUE of a crop plant. This involves both conventional breeding and quantitative trait loci (QTL) mapping in combination with marker-assisted selection (MAS) to track key regions of the chromosome that segregate for NUE. To achieve this goal, one of initial steps is to characterize the NUE-associated genes, then use the profiles of specific genes to combine plant physiology and genetics to improve plant performance. In this study, on the basis of genetic homology and expression analysis, barley candidate genes from a variety of families that exhibited potential roles in enhancing NUE were identified and mapped. We then performed an analysis of QTLs associated with NUE in field trials and further analyzed their map-location data to narrow the search for these candidate genes. These results provide a novel insight on the identification of NUE genes and for the future prospects, will lead to a more thorough understanding of physiological significances of the diverse gene families that may be associated with NUE in barley. PMID:27818673

  14. Identification and expression analysis of cold and freezing stress responsive genes of Brassica oleracea.

    PubMed

    Ahmed, Nasar Uddin; Jung, Hee-Jeong; Park, Jong-In; Cho, Yong-Gu; Hur, Yoonkang; Nou, Ill-Sup

    2015-01-10

    Cold and freezing stress is a major environmental constraint to the production of Brassica crops. Enhancement of tolerance by exploiting cold and freezing tolerance related genes offers the most efficient approach to address this problem. Cold-induced transcriptional profiling is a promising approach to the identification of potential genes related to cold and freezing stress tolerance. In this study, 99 highly expressed genes were identified from a whole genome microarray dataset of Brassica rapa. Blast search analysis of the Brassica oleracea database revealed the corresponding homologous genes. To validate their expression, pre-selected cold tolerant and susceptible cabbage lines were analyzed. Out of 99 BoCRGs, 43 were differentially expressed in response to varying degrees of cold and freezing stress in the contrasting cabbage lines. Among the differentially expressed genes, 18 were highly up-regulated in the tolerant lines, which is consistent with their microarray expression. Additionally, 12 BoCRGs were expressed differentially after cold stress treatment in two contrasting cabbage lines, and BoCRG54, 56, 59, 62, 70, 72 and 99 were predicted to be involved in cold regulatory pathways. Taken together, the cold-responsive genes identified in this study provide additional direction for elucidating the regulatory network of low temperature stress tolerance and developing cold and freezing stress resistant Brassica crops.

  15. Identification of a gene in the process of being lost from the genus Agrostis.

    PubMed

    Li, Huaijun Michael; Rotter, David; Bonos, Stacy A; Meyer, William A; Belanger, Faith C

    2005-08-01

    Lineage-specific gene loss is considered one of the processes contributing to speciation and genome diversity. Such gene loss has been inferred from interspecies comparisons of orthologous DNA segments. Examples of intraspecific gene loss are rare. Here we report identification of a gene, designated Crs-1 (creeping specific-1), that appears to be in the process of being lost from heterozygous populations of the species creeping bentgrass (Agrostis stolonifera). The Crs-1 gene encodes a protein with an N-terminal dirigent protein domain and a C-terminal lectin domain and is similar to the maize (Zea mays) beta-glucosidase aggregating factor. Most individual creeping bentgrass plants examined are lacking Crs-1. Some individuals are hemizygous for the Crs-1 locus, indicating major haplotype noncolinearity at that locus. Crs-1 was not detected in several other Agrostis species, indicating it is being lost from the genus. The Crs-1 locus in creeping bentgrass provides a rare example of the evolutionary process of gene loss occurring within a plant species.

  16. Identification of expressed resistance gene analogs from peanut (Arachis hypogaea L.) expressed sequence tags.

    PubMed

    Liu, Zhanji; Feng, Suping; Pandey, Manish K; Chen, Xiaoping; Culbreath, Albert K; Varshney, Rajeev K; Guo, Baozhu

    2013-05-01

    Low genetic diversity makes peanut (Arachis hypogaea L.) very vulnerable to plant pathogens, causing severe yield loss and reduced seed quality. Several hundred partial genomic DNA sequences as nucleotide-binding-site leucine-rich repeat (NBS-LRR) resistance genes (R) have been identified, but a small portion with expressed transcripts has been found. We aimed to identify resistance gene analogs (RGAs) from peanut expressed sequence tags (ESTs) and to develop polymorphic markers. The protein sequences of 54 known R genes were used to identify homologs from peanut ESTs from public databases. A total of 1,053 ESTs corresponding to six different classes of known R genes were recovered, and assembled 156 contigs and 229 singletons as peanut-expressed RGAs. There were 69 that encoded for NBS-LRR proteins, 191 that encoded for protein kinases, 82 that encoded for LRR-PK/transmembrane proteins, 28 that encoded for Toxin reductases, 11 that encoded for LRR-domain containing proteins and four that encoded for TM-domain containing proteins. Twenty-eight simple sequence repeats (SSRs) were identified from 25 peanut expressed RGAs. One SSR polymorphic marker (RGA121) was identified. Two polymerase chain reaction-based markers (Ahsw-1 and Ahsw-2) developed from RGA013 were homologous to the Tomato Spotted Wilt Virus (TSWV) resistance gene. All three markers were mapped on the same linkage group AhIV. These expressed RGAs are the source for RGA-tagged marker development and identification of peanut resistance genes.

  17. Genome-wide identification and characterization of aquaporin gene family in moso bamboo (Phyllostachys edulis).

    PubMed

    Sun, Huayu; Li, Lichao; Lou, Yongfeng; Zhao, Hansheng; Gao, Zhimin

    2016-05-01

    Aquaporins (AQPs) are known to play a major role in maintaining water and hydraulic conductivity balance in the plant system. Numerous studies have showed AQPs execute multi-function throughout plant growth and development, including water transport, nitrogen, carbon, and micronutrient acquisition etc. However, little information on AQPs is known in bamboo. In this study, we present the first genome-wide identification and characterization of AQP genes in moso bamboo (Phyllostachys edulis) using bioinformatics. In total, 26 AQP genes were identified by homologous analysis, which were divided into four groups (PIPs, TIPs, NIPs, and SIPs) based on the phylogenetic analysis. All the genes were located on 26 different scaffolds respectively on basis of the gene mapped to bamboo genome. Evolutionary analysis indicated that Ph. edulis was more close to Oryza sativa than Zea mays in the genetic relationship. Besides, qRT-PCR was used to analyze gene expression profiles, which revealed that AQP genes were expressed constitutively in all the detected tissues, and were all responsive to the environmental cues such as drought, water, and NaCl stresses. This data suggested that AQPs may play fundamental roles in maintaining normal growth and development of bamboo, which would contribute to better understanding for the complex regulation mechanism involved in the fast-growing process of bamboo. Furthermore, the result could provide valuable information for further research on bamboo functional genomics.

  18. Identification of novel genes involved in gastric carcinogenesis by suppression subtractive hybridization.

    PubMed

    Mottaghi-Dastjerdi, N; Soltany-Rezaee-Rad, M; Sepehrizadeh, Z; Roshandel, G; Ebrahimifard, F; Setayesh, N

    2015-01-01

    Gastric cancer (GC) is one of the most common and life-threatening types of malignancies. Identification of the differentially expressed genes in GC is one of the best approaches for establishing new diagnostic and therapeutic targets. Furthermore, these investigations could advance our knowledge about molecular biology and the carcinogenesis of this cancer. To screen for the overexpressed genes in gastric adenocarcinoma, we performed suppression subtractive hybridization (SSH) on gastric adenocarcinoma tissue and the corresponding normal gastric tissue, and eight genes were found to be overexpressed in the tumor compared with those of the normal tissue. The genes were ribosomal protein L18A, RNase H2 subunit B, SEC13, eukaryotic translation initiation factor 4A1, tetraspanin 8, cytochrome c oxidase subunit 2, NADH dehydrogenase subunit 4, and mitochondrially encoded ATP synthase 6. The common functions among the identified genes include involvement in protein synthesis, involvement in genomic stability maintenance, metastasis, metabolic improvement, cell signaling pathways, and chemoresistance. Our results provide new insights into the molecular biology of GC and drug discovery: each of the identified genes could be further investigated as targets for prognosis evaluation, diagnosis, treatment, evaluation of the response to new anticancer drugs, and determination of the molecular pathogenesis of GC.

  19. Transcriptional identification and characterization of differentially expressed genes associated with embryogenesis in radish (Raphanus sativus L.).

    PubMed

    Zhai, Lulu; Xu, Liang; Wang, Yan; Zhu, Xianwen; Feng, Haiyang; Li, Chao; Luo, Xiaobo; Everlyne, Muleke M; Liu, Liwang

    2016-02-23

    Embryogenesis is an important component in the life cycle of most plant species. Due to the difficulty in embryo isolation, the global gene expression involved in plant embryogenesis, especially the early events following fertilization are largely unknown in radish. In this study, three cDNA libraries from ovules of radish before and after fertilization were sequenced using the Digital Gene Expression (DGE) tag profiling strategy. A total of 5,777 differentially expressed transcripts were detected based on pairwise comparison in the three libraries (0_DAP, 7_DAP and 15_DAP). Results from Gene Ontology (GO) and pathway enrichment analysis revealed that these differentially expressed genes (DEGs) were implicated in numerous life processes including embryo development and phytohormones biosynthesis. Notably, some genes encoding auxin response factor (ARF ), Leafy cotyledon1 (LEC1) and somatic embryogenesis receptor-like kinase (SERK ) known to be involved in radish embryogenesis were differentially expressed. The expression patterns of 30 genes including LEC1-2, AGL9, LRR, PKL and ARF8-1 were validated by qRT-PCR. Furthermore, the cooperation between miRNA and mRNA may play a pivotal role in the radish embryogenesis process. This is the first report on identification of DEGs profiles related to radish embryogenesis and seed development. These results could facilitate further dissection of the molecular mechanisms underlying embryogenesis and seed development in radish.

  20. [Identification of new genes that affect [PSI^(+)] prion toxicity in Saccharomyces cerevisiae yeast].

    PubMed

    Matveenko, A G; Belousov, M V; Bondarev, S A; Moskalenko, S E; Zhouravleva, G A

    2016-01-01

    Translation termination is an important step in gene expression. Its correct processing is governed by eRF1 (Sup45) and eRF3 (Sup35) proteins. In Saccharomyces cerevisiae, mutations in the corresponding genes, as well as Sup35 aggregation in [PSI^(+)] cells that propagate the prion form of Sup35 lead to inaccurate stop codon recognition and, consequently, nonsense suppression. The presence of stronger prion variants results in the more efficient suppression of nonsense mutations. Previously, we proposed a synthetic lethality test that enables the identification of genes that may influence either translation termination factors or [PSI^(+)] manifestation. This is based on the fact that the combination of sup45 mutations with the strong [PSI^(+)] prion variant in diploids is lethal. In this work, a set of genes that were previously shown to enhance nonsense suppression was analyzed. It was found that ABF1, FKH2, and REB1 overexpression decreased the growth of strains in a prion-dependent manner and, thus, might influence [PSI^(+)] prion toxicity. It was also shown that the synthetic lethality of [PSI^(+)] and sup45 mutations increased with the overexpression of GLN3 and MOT3 that encode Q/N-rich transcription factors. An analysis of the effects of their expression on the transcription of the release factors genes revealed an increase in SUP35 transcription in both cases. Since SUP35 overexpression is known to be toxic in [PSI^(+)] strains, these genes apparently enhance [PSI^(+)] toxicity via the regulation of SUP35 transcription.

  1. Transcriptional identification and characterization of differentially expressed genes associated with embryogenesis in radish (Raphanus sativus L.)

    PubMed Central

    Zhai, Lulu; Xu, Liang; Wang, Yan; Zhu, Xianwen; Feng, Haiyang; Li, Chao; Luo, Xiaobo; Everlyne, Muleke M.; Liu, Liwang

    2016-01-01

    Embryogenesis is an important component in the life cycle of most plant species. Due to the difficulty in embryo isolation, the global gene expression involved in plant embryogenesis, especially the early events following fertilization are largely unknown in radish. In this study, three cDNA libraries from ovules of radish before and after fertilization were sequenced using the Digital Gene Expression (DGE) tag profiling strategy. A total of 5,777 differentially expressed transcripts were detected based on pairwise comparison in the three libraries (0_DAP, 7_DAP and 15_DAP). Results from Gene Ontology (GO) and pathway enrichment analysis revealed that these differentially expressed genes (DEGs) were implicated in numerous life processes including embryo development and phytohormones biosynthesis. Notably, some genes encoding auxin response factor (ARF ), Leafy cotyledon1 (LEC1) and somatic embryogenesis receptor-like kinase (SERK ) known to be involved in radish embryogenesis were differentially expressed. The expression patterns of 30 genes including LEC1-2, AGL9, LRR, PKL and ARF8-1 were validated by qRT-PCR. Furthermore, the cooperation between miRNA and mRNA may play a pivotal role in the radish embryogenesis process. This is the first report on identification of DEGs profiles related to radish embryogenesis and seed development. These results could facilitate further dissection of the molecular mechanisms underlying embryogenesis and seed development in radish. PMID:26902837

  2. Identification and Functional Analysis of Trypanosoma cruzi Genes That Encode Proteins of the Glycosylphosphatidylinositol Biosynthetic Pathway

    PubMed Central

    Cardoso, Mariana S.; Junqueira, Caroline; Trigueiro, Ricardo C.; Shams-Eldin, Hosam; Macedo, Cristiana S.; Araújo, Patrícia R.; Gomes, Dawidson A.; Martinelli, Patrícia M.; Kimmel, Jürgen; Stahl, Philipp; Niehus, Sebastian; Schwarz, Ralph T.; Previato, José O.; Mendonça-Previato, Lucia; Gazzinelli, Ricardo T.; Teixeira, Santuza M. R.

    2013-01-01

    Background Trypanosoma cruzi is a protist parasite that causes Chagas disease. Several proteins that are essential for parasite virulence and involved in host immune responses are anchored to the membrane through glycosylphosphatidylinositol (GPI) molecules. In addition, T. cruzi GPI anchors have immunostimulatory activities, including the ability to stimulate the synthesis of cytokines by innate immune cells. Therefore, T. cruzi genes related to GPI anchor biosynthesis constitute potential new targets for the development of better therapies against Chagas disease. Methodology/Principal Findings In silico analysis of the T. cruzi genome resulted in the identification of 18 genes encoding proteins of the GPI biosynthetic pathway as well as the inositolphosphorylceramide (IPC) synthase gene. Expression of GFP fusions of some of these proteins in T. cruzi epimastigotes showed that they localize in the endoplasmic reticulum (ER). Expression analyses of two genes indicated that they are constitutively expressed in all stages of the parasite life cycle. T. cruzi genes TcDPM1, TcGPI10 and TcGPI12 complement conditional yeast mutants in GPI biosynthesis. Attempts to generate T. cruzi knockouts for three genes were unsuccessful, suggesting that GPI may be an essential component of the parasite. Regarding TcGPI8, which encodes the catalytic subunit of the transamidase complex, although we were able to generate single allele knockout mutants, attempts to disrupt both alleles failed, resulting instead in parasites that have undergone genomic recombination and maintained at least one active copy of the gene. Conclusions/Significance Analyses of T. cruzi sequences encoding components of the GPI biosynthetic pathway indicated that they are essential genes involved in key aspects of host-parasite interactions. Complementation assays of yeast mutants with these T. cruzi genes resulted in yeast cell lines that can now be employed in high throughput screenings of drugs against this

  3. Identification of Gene Transcription Start Sites and Enhancers Responding to Pulmonary Carbon Nanotube Exposure in Vivo.

    PubMed

    Bornholdt, Jette; Saber, Anne Thoustrup; Lilje, Berit; Boyd, Mette; Jørgensen, Mette; Chen, Yun; Vitezic, Morana; Jacobsen, Nicklas Raun; Poulsen, Sarah Søs; Berthing, Trine; Bressendorff, Simon; Vitting-Seerup, Kristoffer; Andersson, Robin; Hougaard, Karin Sørig; Yauk, Carole L; Halappanavar, Sabina; Wallin, Håkan; Vogel, Ulla; Sandelin, Albin

    2017-03-31

    Increased use of nanomaterials in industry, medicine, and consumer products has raised concerns over their toxicity. To ensure safe use of nanomaterials, understanding their biological effects at the molecular level is crucial. In particular, the regulatory mechanisms responsible for the cascade of genes activated by nanomaterial exposure are not well-characterized. To this end, we profiled the genome-wide usage of gene transcription start sites and linked active enhancer regions in lungs of C57BL/6 mice 24 h after intratracheal instillation of a single dose of the multiwalled carbon nanotube (MWCNT) Mitsui-7. Our results revealed a massive gene regulatory response, where expression of key inflammatory genes (e.g., Csf3, Il24, and Fgf23) was increased >100-fold 24 h after Mitsui-7 exposure. Many of the Mitsui-7-responsive transcription start sites were alternative transcription start sites for known genes, and the number of alternative transcription start sites used in a given gene was correlated with overall Mitsui-7 response. Strikingly, genes that were up-regulated after Mitsui-7 exposure only through their main annotated transcription start site were linked to inflammatory and defense responses, while genes up-regulated only through alternative transcription start sites were functionally heterogeneous and not inflammation-associated. Furthermore, we identified almost 12 000 active enhancers, many of which were Mitsui-7-responsive, and we identified similarly responding putative target genes. Overall, our study provides the location and activity of Mitsui-7-induced enhancers and transcription start sites, providing a useful resource for targeted experiments elucidating the biological effects of nanomaterials and the identification of biomarkers for early detection of MWCNT-induced inflammation.

  4. Physical model-set identification for robust control of flexible structures

    NASA Technical Reports Server (NTRS)

    Karlov, Valeri I.; Glaese, Roger M.; Miller, David W.; Crawley, Edward F.

    1993-01-01

    An approach to dynamic system identification is presented taking into account the goal of enhancing robust control performance of flexible structures. Identification techniques are derived which take advantage of the physics of structural dynamics and can provide realistic bounds for all potential parameter uncertainties. The developed approach includes input optimization which distributes excitation energy in such a way that the influence of residual uncertainties on robust control performance is reduced.

  5. A comparative overview of modal testing and system identification for control of structures

    NASA Technical Reports Server (NTRS)

    Juang, J.-N.; Pappa, R. S.

    1988-01-01

    A comparative overview is presented of the disciplines of modal testing used in structural engineering and system identification used in control theory. A list of representative references from both areas is given, and the basic methods are described briefly. Recent progress on the interaction of modal testing and control disciplines is discussed. It is concluded that combined efforts of researchers in both disciplines are required for unification of modal testing and system identification methods for control of flexible structures.

  6. The gene search system. A method for efficient detection and rapid molecular identification of genes in Drosophila melanogaster.

    PubMed Central

    Toba, G; Ohsako, T; Miyata, N; Ohtsuka, T; Seong, K H; Aigaki, T

    1999-01-01

    We have constructed a P-element-based gene search vector for efficient detection of genes in Drosophila melanogaster. The vector contains two copies of the upstream activating sequence (UAS) enhancer adjacent to a core promoter, one copy near the terminal inverted repeats at each end of the vector, and oriented to direct transcription outward. Genes were detected on the basis of phenotypic changes caused by GAL4-dependent forced expression of vector-flanking DNA, and the transcripts were identified with reverse transcriptase PCR (RT-PCR) using the vector-specific primer and followed by direct sequencing. The system had a greater sensitivity than those already in use for gain-of-function screening: 64% of the vector insertion lines (394/613) showed phenotypes with forced expression of vector-flanking DNA, such as lethality or defects in adult structure. Molecular analysis of 170 randomly selected insertions with forced expression phenotypes revealed that 21% matched the sequences of cloned genes, and 18% matched reported expressed sequence tags (ESTs). Of the insertions in cloned genes, 83% were upstream of the protein-coding region. We discovered two new genes that showed sequence similarity to human genes, Ras-related protein 2 and microsomal glutathione S-transferase. The system can be useful as a tool for the functional mapping of the Drosophila genome. PMID:9927464

  7. Identification of Scopulariopsis species by partial 28S rRNA gene sequence analysis.

    PubMed

    Jagielski, Tomasz; Kosim, Kinga; Skóra, Magdalena; Macura, Anna Barbara; Bielecki, Jacek

    2013-01-01

    The genus Scopulariopsis contains over 30 species of mitosporic moulds, which although usually saprophytic may also act as opportunistic pathogens in humans. They have mainly been associated with onychomycosis, and only sporadically reported as a cause of deep tissue infections or systemic disease. Identification of Scopulariopsis species still largely relies on phenotype-based methods. There is a need for a molecular diagnostic approach, that would allow to reliably discriminate between different Scopulariopsis species. The aim of this study was to apply sequence analysis of partial 28S rRNA gene for species identification of Scopulariopsis clinical isolates. Although the method employed did reveal some genetic polymorphism among Scopulariopsis isolates tested, it was not enough for species delineation. For this to be achieved, other genetic loci, within and beyond the rDNA operon, need to be investigated.

  8. Distal chromatin structure influences local nucleosome positions and gene expression.

    PubMed

    Jansen, An; van der Zande, Elisa; Meert, Wim; Fink, Gerald R; Verstrepen, Kevin J

    2012-05-01

    The positions of nucleosomes across the genome influence several cellular processes, including gene transcription. However, our understanding of the factors dictating where nucleosomes are located and how this affects gene regulation is still limited. Here, we perform an extensive in vivo study to investigate the influence of the neighboring chromatin structure on local nucleosome positioning and gene expression. Using truncated versions of the Saccharomyces cerevisiae URA3 gene, we show that nucleosome positions in the URA3 promoter are at least partly determined by the local DNA sequence, with so-called 'anti-nucleosomal elements' like poly(dA:dT) tracts being key determinants of nucleosome positions. In addition, we show that changes in the nucleosome positions in the URA3 promoter strongly affect the promoter activity. Most interestingly, in addition to demonstrating the effect of the local DNA sequence, our study provides novel in vivo evidence that nucleosome positions are also affected by the position of neighboring nucleosomes. Nucleosome structure may therefore be an important selective force for conservation of gene order on a chromosome, because relocating a gene to another genomic position (where the positions of neighboring nucleosomes are different from the original locus) can have dramatic consequences for the gene's nucleosome structure and thus its expression.

  9. Genome Wide Identification, Phylogeny, and Expression of Aquaporin Genes in Common Carp (Cyprinus carpio)

    PubMed Central

    Feng, Jingyan; Xu, Jian; Mahboob, Shahid; Al-Ghanim, Khalid; Li, Xuejun

    2016-01-01

    Background Aquaporins (Aqps) are integral membrane proteins that facilitate the transport of water and small solutes across cell membranes. Among vertebrate species, Aqps are highly conserved in both gene structure and amino acid sequence. These proteins are vital for maintaining water homeostasis in living organisms, especially for aquatic animals such as teleost fish. Studies on teleost Aqps are mainly limited to several model species with diploid genomes. Common carp, which has a tetraploidized genome, is one of the most common aquaculture species being adapted to a wide range of aquatic environments. The complete common carp genome has recently been released, providing us the possibility for gene evolution of aqp gene family after whole genome duplication. Results In this study, we identified a total of 37 aqp genes from common carp genome. Phylogenetic analysis revealed that most of aqps are highly conserved. Comparative analysis was performed across five typical vertebrate genomes. We found that almost all of the aqp genes in common carp were duplicated in the evolution of the gene family. We postulated that the expansion of the aqp gene family in common carp was the result of an additional whole genome duplication event and that the aqp gene family in other teleosts has been lost in their evolution history with the reason that the functions of genes are redundant and conservation. Expression patterns were assessed in various tissues, including brain, heart, spleen, liver, intestine, gill, muscle, and skin, which demonstrated the comprehensive expression profiles of aqp genes in the tetraploidized genome. Significant gene expression divergences have been observed, revealing substantial expression divergences or functional divergences in those duplicated aqp genes post the latest WGD event. Conclusions To some extent, the gene families are also considered as a unique source for evolutionary studies. Moreover, the whole set of common carp aqp gene family

  10. Polymerase Chain Reaction (PCR)-based methods for detection and identification of mycotoxigenic Penicillium species using conserved genes

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Polymerase chain reaction amplification of conserved genes and sequence analysis provides a very powerful tool for the identification of toxigenic as well as non-toxigenic Penicillium species. Sequences are obtained by amplification of the gene fragment, sequencing via capillary electrophoresis of d...

  11. Identification of virulence genes in the corn pathogen Colletotrichum graminicola by Agrobacterium tumefaciens-mediated transformation.

    PubMed

    Münch, Steffen; Ludwig, Nancy; Floss, Daniela S; Sugui, Janyce A; Koszucka, Anna M; Voll, Lars M; Sonnewald, Uwe; Deising, Holger B

    2011-01-01

    A previously developed Agrobacterium tumefaciens-mediated transformation (ATMT) protocol for the plant pathogenic fungus Colletotrichum graminicola led to high rates of tandem integration of the whole Ti-plasmid, and was therefore considered to be unsuitable for the identification of pathogenicity and virulence genes by insertional mutagenesis in this pathogen. We used a modified ATMT protocol with acetosyringone present only during the co-cultivation of C. graminicola and A. tumefaciens. Analysis of 105 single-spore isolates randomly chosen from a collection of approximately 2000 transformants, indicated that almost 70% of the transformants had single T-DNA integrations. Of 500 independent transformants tested, 10 exhibited attenuated virulence in infection assays on whole plants. Microscopic analyses primarily revealed defects at different pre-penetration stages of infection-related morphogenesis. Three transformants were characterized in detail. The identification of the T-DNA integration sites was performed by amplification of genomic DNA ends after endonuclease digestion and polynucleotide tailing. In one transformant, the T-DNA had integrated into the 5'-flank of a gene with similarity to allantoicase genes of other Ascomycota. In the second and third transformants, the T-DNA had integrated into an open reading frame (ORF) and into the 5'-flank of an ORF. In both cases, the ORFs have unknown function.

  12. Molecular Genetic Studies of Gene Identification for Osteoporosis: The 2009 Update

    PubMed Central

    Xu, Xiang-Hong; Dong, Shan-Shan; Guo, Yan; Yang, Tie-Lin; Lei, Shu-Feng; Papasian, Christopher J.; Zhao, Ming; Deng, Hong-Wen

    2010-01-01

    Osteoporosis is a complex human disease that results in increased susceptibility to fragility fractures. It can be phenotypically characterized using several traits, including bone mineral density, bone size, bone strength, and bone turnover markers. The identification of gene variants that contribute to osteoporosis phenotypes, or responses to therapy, can eventually help individualize the prognosis, treatment, and prevention of fractures and their adverse outcomes. Our previously published reviews have comprehensively summarized the progress of molecular genetic studies of gene identification for osteoporosis and have covered the data available to the end of September 2007. This review represents our continuing efforts to summarize the important and representative findings published between October 2007 and November 2009. The topics covered include genetic association and linkage studies in humans, transgenic and knockout mouse models, as well as gene-expression microarray and proteomics studies. Major results are tabulated for comparison and ease of reference. Comments are made on the notable findings and representative studies for their potential influence and implications on our present understanding of the genetics of osteoporosis. PMID:20357209

  13. Sex identification of Japanese black bear, Ursus thibetanus japonicus, by PCR based on amelogenin gene.

    PubMed

    Yamamoto, Kaori; Tsubota, Toshio; Komatsu, Takeshi; Katayama, Atsushi; Murase, Tetsuma; Kita, Isao; Kudo, Tadaaki

    2002-06-01

    A method for sex identification of the Japanese black bear was examined using a polymerase chain reaction (PCR) and sequencing of a part of the amelogenin gene. This gene is located on the X and Y chromosomes, and there are 54 nucleotide deletions on the Y chromosome-specific gene. Forty-seven (26 male and 21 female) DNA samples and 23 (13 male and 10 female) DNA samples, respectively extracted from white blood cells and hairs of Japanese black bears were analyzed. The primers SE47 and SE48 from this X-Y homologous region were used in sex identification by PCR amplification. These primers amplified X- and Y-specific bands, which could be used to discriminate between sexes by a length polymorphism in all samples. We suggest that PCR amplification using the primers SE47 and SE48 is useful for sex determination of the Japanese black bear and could be applied to DNA analysis of small samples such as hairs.

  14. Identification of Genes Coding Aminoglycoside Modifying Enzymes in E. coli of UTI Patients in India

    PubMed Central

    Bashir, Yasir; Dar, Firdous Ahmad; Sekhar, M.

    2016-01-01

    This study is to probe the pattern of antibiotic resistance against aminoglycosides and its mechanism in E. coli obtained from patients from Chennai, India. Isolation and identification of pathogens were done on MacConkey agar. Antimicrobial sensitivity testing was done by disc diffusion test. The identification of genes encoding aminoglycoside modifying enzymes was done by Polymerase Chain Reaction (PCR). Out of 98 isolates, 71 (72.45%) isolates were identified as E. coli and the remaining 27 (27.55%) as other bacteria. Disc diffusion method results showed a resistance level of 72.15% for streptomycin, 73.4% for gentamicin, 63.26% for neomycin, 57.14% for tobramycin, 47.9% for netilmicin, and 8.16% for amikacin in E. coli. PCR screening showed the presence of four genes, namely, rrs, aacC2, aacA-aphD, and aphA3, in their plasmid DNA. The results point towards the novel mechanism of drug resistance in E. coli from UTI patients in India as they confirm the presence of genes encoding enzymes that cause resistance to aminoglycoside drugs. This could be an alarm for drug prescription to UTI patients. PMID:27403451

  15. Identification of Four Entamoeba histolytica Organellar DNA Polymerases of the Family B and Cellular Localization of the Ehodp1 Gene and EhODP1 Protein

    PubMed Central

    Herrera-Aguirre, María Esther; Luna-Arias, Juan Pedro; Labra-Barrios, María Luisa; Orozco, Esther

    2010-01-01

    We report the identification of a family of four active genes (Ehodp1, Ehodp2, Ehodp3, and Ehodp4) encoding putative DNA polymerases in Entamoeba histolytica, the protozoan parasite responsible of human amoebiasis. The four Ehodp genes show similarity to DNA polymerases encoded in fungi and plant mitochondrial plasmids. EhODP polypeptides conserve the 3′-5′ exonuclease II and 5′-3′ polymerization domains, and they have the I, II, and III conserved boxes that characterize them as DNA polymerases of family B. Furthermore, we found in EhODP polymerases two novel A and B boxes, present also in DNA polymerases encoded in fungi mitochondrial plasmids. By in situ PCR, Ehodp1 gene was located in nuclei and in DNA-containing cytoplasmic structures. Additionally, using polyclonal antibodies against a recombinant rEhODP1-168 polypeptide, and confocal microscopy, EhODP1 was located in cytoplasmic DNA-containing structures. PMID:20300437

  16. Identification of pathogenicity‐related genes in Fusarium oxysporum f. sp. cepae

    PubMed Central

    Vágány, Viktória; Jackson, Alison C.; Harrison, Richard J.; Rainoni, Alessandro; Clarkson, John P.

    2016-01-01

    Summary Pathogenic isolates of Fusarium oxysporum, distinguished as formae speciales (f. spp.) on the basis of their host specificity, cause crown rots, root rots and vascular wilts on many important crops worldwide. Fusarium oxysporum f. sp. cepae (FOC) is particularly problematic to onion growers worldwide and is increasing in prevalence in the UK. We characterized 31 F. oxysporum isolates collected from UK onions using pathogenicity tests, sequencing of housekeeping genes and identification of effectors. In onion seedling and bulb tests, 21 isolates were pathogenic and 10 were non‐pathogenic. The molecular characterization of these isolates, and 21 additional isolates comprising other f. spp. and different Fusarium species, was carried out by sequencing three housekeeping genes. A concatenated tree separated the F. oxysporum isolates into six clades, but did not distinguish between pathogenic and non‐pathogenic isolates. Ten putative effectors were identified within FOC, including seven Secreted In Xylem (SIX) genes first reported in F. oxysporum f. sp. lycopersici. Two highly homologous proteins with signal peptides and RxLR motifs (CRX1/CRX2) and a gene with no previously characterized domains (C5) were also identified. The presence/absence of nine of these genes was strongly related to pathogenicity against onion and all were shown to be expressed in planta. Different SIX gene complements were identified in other f. spp., but none were identified in three other Fusarium species from onion. Although the FOC SIX genes had a high level of homology with other f. spp., there were clear differences in sequences which were unique to FOC, whereas CRX1 and C5 genes appear to be largely FOC specific. PMID:26609905

  17. Identification of Genes Associated with Resilience/Vulnerability to Sleep Deprivation and Starvation in Drosophila

    PubMed Central

    Thimgan, Matthew S.; Seugnet, Laurent; Turk, John; Shaw, Paul J.

    2015-01-01

    , Seugnet L, Turk J, Shaw PJ. Identification of genes associated with resilience/vulnerability to sleep deprivation and starvation in Drosophila. SLEEP 2015;38(5):801–814. PMID:25409104

  18. Physiological and molecular characterization of drought responses and identification of candidate tolerance genes in cassava

    PubMed Central

    Turyagyenda, Laban F.; Kizito, Elizabeth B.; Ferguson, Morag; Baguma, Yona; Agaba, Morris; Harvey, Jagger J. W.; Osiru, David S. O.

    2013-01-01

    Cassava is an important root crop to resource-poor farmers in marginal areas, where its production faces drought stress constraints. Given the difficulties associated with cassava breeding, a molecular understanding of drought tolerance in cassava will help in the identification of markers for use in marker-assisted selection and genes for transgenic improvement of drought tolerance. This study was carried out to identify candidate drought-tolerance genes and expression-based markers of drought stress in cassava. One drought-tolerant (improved variety) and one drought-susceptible (farmer-preferred) cassava landrace were grown in the glasshouse under well-watered and water-stressed conditions. Their morphological, physiological and molecular responses to drought were characterized. Morphological and physiological measurements indicate that the tolerance of the improved variety is based on drought avoidance, through reduction of water loss via partial stomatal closure. Ten genes that have previously been biologically validated as conferring or being associated with drought tolerance in other plant species were confirmed as being drought responsive in cassava. Four genes (MeALDH, MeZFP, MeMSD and MeRD28) were identified as candidate cassava drought-tolerance genes, as they were exclusively up-regulated in the drought-tolerant genotype to comparable levels known to confer drought tolerance in other species. Based on these genes, we hypothesize that the basis of the tolerance at the cellular level is probably through mitigation of the oxidative burst and osmotic adjustment. This study provides an initial characterization of the molecular response of cassava to drought stress resembling field conditions. The drought-responsive genes can now be used as expression-based markers of drought stress tolerance in cassava, and the candidate tolerance genes tested in the context of breeding (as possible quantitative trait loci) and engineering drought tolerance in transgenics

  19. Identification of pathogenicity-related genes in Fusarium oxysporum f. sp. cepae.

    PubMed

    Taylor, Andrew; Vágány, Viktória; Jackson, Alison C; Harrison, Richard J; Rainoni, Alessandro; Clarkson, John P

    2016-09-01

    Pathogenic isolates of Fusarium oxysporum, distinguished as formae speciales (f. spp.) on the basis of their host specificity, cause crown rots, root rots and vascular wilts on many important crops worldwide. Fusarium oxysporum f. sp. cepae (FOC) is particularly problematic to onion growers worldwide and is increasing in prevalence in the UK. We characterized 31 F. oxysporum isolates collected from UK onions using pathogenicity tests, sequencing of housekeeping genes and identification of effectors. In onion seedling and bulb tests, 21 isolates were pathogenic and 10 were non-pathogenic. The molecular characterization of these isolates, and 21 additional isolates comprising other f. spp. and different Fusarium species, was carried out by sequencing three housekeeping genes. A concatenated tree separated the F. oxysporum isolates into six clades, but did not distinguish between pathogenic and non-pathogenic isolates. Ten putative effectors were identified within FOC, including seven Secreted In Xylem (SIX) genes first reported in F. oxysporum f. sp. lycopersici. Two highly homologous proteins with signal peptides and RxLR motifs (CRX1/CRX2) and a gene with no previously characterized domains (C5) were also identified. The presence/absence of nine of these genes was strongly related to pathogenicity against onion and all were shown to be expressed in planta. Different SIX gene complements were identified in other f. spp., but none were identified in three other Fusarium species from onion. Although the FOC SIX genes had a high level of homology with other f. spp., there were clear differences in sequences which were unique to FOC, whereas CRX1 and C5 genes appear to be largely FOC specific.

  20. Characteristics of X- and Y-chromosome specific regions of the amelogenin gene and a PCR-based method for sex identification in red deer (Cervus elaphus).

    PubMed

    Gurgul, Artur; Radko, Anna; Słota, Ewa

    2010-07-01

    The present study attempts to analyse sequences of the X- and Y-chromosome specific regions of the amelogenin (AMEL) gene in red deer. To this end, primers specific for each form of the gene (AMELX and AMELY) were designed based on bovine genomic sequences and the homologous regions of the genes were sequenced. The obtained sequence of AMELX gene showed high similarity with the corresponding region in cattle (91%) and humans (77%), but this similarity was slightly lower among AMELY genes and showed 87 and 73% of identical nucleotides, respectively. In addition, three single nucleotide polymorphisms (SNPs) were found in the AMELX gene of the female red deer investigated. Comparative analysis of the homologous fragments of the red deer AMELX and AMELY genes confirmed the deletion of an AMELY gene fragment in relation to AMELX. Homology of both sequences was 82% of identical nucleotides in the coding region and 74% in 3' non-coding sequence. The sequences studied showed considerable similarity to homologous fragments of the human and bovine gene, but the structural differences observed lead us to design PCR-based method for sex identification in red deer, based on the presented sequences.

  1. Identification of C4 photosynthesis metabolism and regulatory-associated genes in Eleocharis vivipara by SSH.

    PubMed

    Chen, Taiyu; Ye, Rongjian; Fan, Xiaolei; Li, Xianghua; Lin, Yongjun

    2011-09-01

    This is the first effort to investigate the candidate genes involved in kranz developmental regulation and C(4) metabolic fluxes in Eleocharis vivipara, which is a leafless freshwater amphibious plant and possesses a distinct culms anatomy structure and photosynthetic pattern in contrasting environments. A terrestrial specific SSH library was constructed to investigate the genes involved in kranz anatomy developmental regulation and C(4) metabolic fluxes. A total of 73 ESTs and 56 unigenes in 384 clones were identified by array hybridization and sequencing. In total, 50 unigenes had homologous genes in the databases of rice and Arabidopsis. The real-time quantitative PCR results showed that most of the genes were accumulated in terrestrial culms and ABA-induced culms. The C(4) marker genes were stably accumulated during the culms development process in terrestrial culms. With respect to C(3) culms, C(4) photosynthesis metabolism consumed much more transporters and translocators related to ion metabolism, organic acids and carbohydrate metabolism, phosphate metabolism, amino acids metabolism, and lipids metabolism. Additionally, ten regulatory genes including five transcription factors, four receptor-like proteins, and one BURP protein were identified. These regulatory genes, which co-accumulated with the culms developmental stages, may play important roles in culms structure developmental regulation, bundle sheath chloroplast maturation, and environmental response. These results shed new light on the C(4) metabolic fluxes, environmental response, and anatomy structure developmental regulation in E. vivipara.

  2. Genome-wide identification, splicing, and expression analysis of the myosin gene family in maize (Zea mays).

    PubMed

    Wang, Guifeng; Zhong, Mingyu; Wang, Jiajia; Zhang, Jushan; Tang, Yuanping; Wang, Gang; Song, Rentao

    2014-03-01

    The actin-based myosin system is essential for the organization and dynamics of the endomembrane system and transport network in plant cells. Plants harbour two unique myosin groups, class VIII and class XI, and the latter is structurally and functionally analogous to the animal and fungal class V myosin. Little is known about myosins in grass, even though grass includes several agronomically important cereal crops. Here, we identified 14 myosin genes from the genome of maize (Zea mays). The relatively larger sizes of maize myosin genes are due to their much longer introns, which are abundant in transposable elements. Phylogenetic analysis indicated that maize myosin genes could be classified into class VIII and class XI, with three and 11 members, respectively. Apart from subgroup XI-F, the remaining subgroups were duplicated at least in one analysed lineage, and the duplication events occurred more extensively in Arabidopsis than in maize. Only two pairs of maize myosins were generated from segmental duplication. Expression analysis revealed that most maize myosin genes were expressed universally, whereas a few members (XI-1, -6, and -11) showed an anther-specific pattern, and many underwent extensive alternative splicing. We also found a short transcript at the O1 locus, which conceptually encoded a headless myosin that most likely functions at the transcriptional level rather than via a dominant-negative mechanism at the translational level. Together, these data provide significant insights into the evolutionary and functional characterization of maize myosin genes that could transfer to the identification and application of homologous myosins of other grasses.

  3. Coherent structure coloring: identification of coherent structures from sparse flow trajectories using graph theory

    NASA Astrophysics Data System (ADS)

    Schlueter, Kristy; Dabiri, John

    2016-11-01

    Coherent structure identification is important in many fluid dynamics applications, including transport phenomena in ocean flows and mixing and diffusion in turbulence. However, many of the techniques currently available for measuring such flows, including ocean drifter datasets and particle tracking velocimetry, only result in sparse velocity data. This is often insufficient for the use of current coherent structure detection algorithms based on analysis of the deformation gradient. Here, we present a frame-invariant method for detecting coherent structures from Lagrangian flow trajectories that can be sparse in number. The method, based on principles used in graph coloring algorithms, examines a measure of the kinematic dissimilarity of all pairs of flow trajectories, either measured experimentally, e.g. using particle tracking velocimetry; or numerically, by advecting fluid particles in the Eulerian velocity field. Coherence is assigned to groups of particles whose kinematics remain similar throughout the time interval for which trajectory data is available, regardless of their physical proximity to one another. Through the use of several analytical and experimental validation cases, this algorithm is shown to robustly detect coherent structures using significantly less flow data than is required by existing methods. This research was supported by the Department of Defense (DoD) through the National Defense Science & Engineering Graduate Fellowship (NDSEG) Program.

  4. THE COMPOSITIONAL STRUCTURE OF GENE ONTOLOGY TERMS

    PubMed Central

    OGREN, P. V.; COHEN, K. B.; ACQUAAH-MENSAH, G. K.; EBERLEIN, J.; HUNTER, L.

    2008-01-01

    An analysis of the term names in the Gene Ontology reveals the prevalence of substring relations between terms: 65.3% of all GO terms contain another GO term as a proper substring. This substring relation often coincides with a derivational relationship between the terms. For example, the term regulation of cell proliferation (GO:0042127) is derived from the term cell proliferation (GO:0008283) by addition of the phrase regulation of. Further, we note that particular substrings which are not themselves GO terms (e.g. regulation of in the preceding example) recur frequently and in consistent subtrees of the ontology, and that these frequently occurring substrings often indicate interesting semantic relationships between the related terms. We describe the extent of these phenomena—substring relations between terms, and the recurrence of derivational phrases such as regulation of—and propose that these phenomena can be exploited in various ways to make the information in GO more computationally accessible, to construct a conceptually richer representation of the data encoded in the ontology, and to assist in the analysis of natural language texts. PMID:14992505

  5. Competency-Based Occupational Programs: Identification, Structuring, and Evaluation.

    ERIC Educational Resources Information Center

    Pensacola Junior Coll., FL.

    This publication presents results of the third phase of a Pensacola Junior College project to develop certain vocational programs as competency-based education. A brief narrative discusses the entire project--especially phase 3, which involved identification and definition of those competencies expected by an employer using input from an advisory…

  6. Genome-Wide Identification, Characterization and Expression Analysis of the TCP Gene Family in Prunus mume.

    PubMed

    Zhou, Yuzhen; Xu, Zongda; Zhao, Kai; Yang, Weiru; Cheng, Tangren; Wang, Jia; Zhang, Qixiang

    2016-01-01

    TCP proteins, belonging to a plant-specific transcription factors family, are known to have great functions in plant development, especially flower and leaf development. However, there is little information about this gene family in Prunus mume, which is widely cultivated in China as an ornamental and fruit tree. Here a genome-wide analysis of TCP genes was performed to explore their evolution in P. mume. Nineteen PmTCPs were identified and three of them contained putative miR319 target sites. Phylogenetic and comprehensive bioinformatics analyses of these genes revealed that different types of TCP genes had undergone different evolutionary processes and the genes in the same clade had similar chromosomal location, gene structure, and conserved domains. Expression analysis of these PmTCPs indicated that there were diverse expression patterns among different clades. Most TCP genes were predominantly expressed in flower, leaf, and stem, and showed high expression levels in the different stages of flower bud differentiation, especially in petal formation stage and gametophyte development. Genes in TCP-P subfamily had main roles in both flower development and gametophyte development. The CIN genes in double petal cultivars might have key roles in the formation of petal, while they were correlated with gametophyte development in the single petal cultivar. The CYC/TB1 type genes were highly detected in the formation of petal and pistil. The less-complex flower types of P. mume might result from the fact that there were only two CYC type genes present in P. mume and a lack of CYC2 genes to control the identity of flower types. These results lay the foundation for further study on the functions of TCP genes during flower development.

  7. Genome-Wide Identification, Characterization and Expression Analysis of the TCP Gene Family in Prunus mume

    PubMed Central

    Zhou, Yuzhen; Xu, Zongda; Zhao, Kai; Yang, Weiru; Cheng, Tangren; Wang, Jia; Zhang, Qixiang

    2016-01-01

    TCP proteins, belonging to a plant-specific transcription factors family, are known to have great functions in plant development, especially flower and leaf development. However, there is little information about this gene family in Prunus mume, which is widely cultivated in China as an ornamental and fruit tree. Here a genome-wide analysis of TCP genes was performed to explore their evolution in P. mume. Nineteen PmTCPs were identified and three of them contained putative miR319 target sites. Phylogenetic and comprehensive bioinformatics analyses of these genes revealed that different types of TCP genes had undergone different evolutionary processes and the genes in the same clade had similar chromosomal location, gene structure, and conserved domains. Expression analysis of these PmTCPs indicated that there were diverse expression patterns among different clades. Most TCP genes were predominantly expressed in flower, leaf, and stem, and showed high expression levels in the different stages of flower bud differentiation, especially in petal formation stage and gametophyte development. Genes in TCP-P subfamily had main roles in both flower development and gametophyte development. The CIN genes in double petal cultivars might have key roles in the formation of petal, while they were correlated with gametophyte development in the single petal cultivar. The CYC/TB1 type genes were highly detected in the formation of petal and pistil. The less-complex flower types of P. mume might result from the fact that there were only two CYC type genes present in P. mume and a lack of CYC2 genes to control the identity of flower types. These results lay the foundation for further study on the functions of TCP genes during flower development. PMID:27630648

  8. Identification of Three Novel Mutations in the FRMD7 Gene for X-linked Idiopathic Congenital Nystagmus

    PubMed Central

    Zhang, Xiao; Ge, Xianglian; Yu, Ying; Zhang, Yilan; Wu, Yaming; Luan, Yin; Sun, Ji; Qu, Jia; Jin, Zi-Bing; Gu, Feng

    2014-01-01

    Idiopathic congenital nystagmus (ICN) consists of involuntary and periodic ocular motility, often with seriously reduced visual acuity. To identify the genetic defects associated with X-linked ICN, we performed PCR-based DNA direct sequencing of two candidate genes, FRMD7 and GPR143, in four families. Mutation analysis led to identification of three novel mutations, p.S260R, p.Q487X, and p.V549Y fsX554, in FRMD7 in three of the recruited families. Results from structural modeling indicated that the p.S260R may potentially disrupt FRMD7 function through loss of a phosphorylation site and/or interference with protein-protein interactions. Both p.Q487X, and p.V549Y fsX554 mutations were predicted to generate nonfunctional truncated proteins. Using a capture next generation sequencing method, we excluded CASK as the responsible gene for the remaining family. Combining sequence analysis and structural modeling, we report three novel mutations in FRMD7 in three independent families with XLICN, and provide molecular insights for future XLICN diagnosis and treatment. PMID:24434814

  9. Identification of Three Novel Mutations in the FRMD7 Gene for X-linked Idiopathic Congenital Nystagmus

    NASA Astrophysics Data System (ADS)

    Zhang, Xiao; Ge, Xianglian; Yu, Ying; Zhang, Yilan; Wu, Yaming; Luan, Yin; Sun, Ji; Qu, Jia; Jin, Zi-Bing; Gu, Feng

    2014-01-01

    Idiopathic congenital nystagmus (ICN) consists of involuntary and periodic ocular motility, often with seriously reduced visual acuity. To identify the genetic defects associated with X-linked ICN, we performed PCR-based DNA direct sequencing of two candidate genes, FRMD7 and GPR143, in four families. Mutation analysis led to identification of three novel mutations, p.S260R, p.Q487X, and p.V549Y fsX554, in FRMD7 in three of the recruited families. Results from structural modeling indicated that the p.S260R may potentially disrupt FRMD7 function through loss of a phosphorylation site and/or interference with protein-protein interactions. Both p.Q487X, and p.V549Y fsX554 mutations were predicted to generate nonfunctional truncated proteins. Using a capture next generation sequencing method, we excluded CASK as the responsible gene for the remaining family. Combining sequence analysis and structural modeling, we report three novel mutations in FRMD7 in three independent families with XLICN, and provide molecular insights for future XLICN diagnosis and treatment.

  10. Identification of neuronal target genes for CCAAT/Enhancer Binding Proteins

    PubMed Central

    Kfoury, N.; Kapatos, G.

    2009-01-01

    CCAAT/Enhancer Binding Proteins (C/EBPs) play pivotal roles in development and plasticity of the nervous system. Identification of the physiological targets of C/EBPs (C/EBP target genes) should therefore provide insight into the underlying biology of these processes. We used unbiased genome-wide mapping to identify 115 C/EBPβ target genes in PC12 cells that include transcription factors, neurotransmitter receptors, ion channels, protein kinases and synaptic vesicle proteins. C/EBPβ binding sites were located primarily within introns, suggesting novel regulatory functions, and were associated with binding sites for other developmentally important transcription factors. Experiments using dominant negatives showed C/EBPβ to repress transcription of a subset of target genes. Target genes in rat brain were subsequently found to preferentially bind C/EBPα, β and δ. Analysis of the hippocampal transcriptome of C/EBPβ knockout mice revealed dysregulation of a high percentage of transcripts identified as C/EBP target genes. These results support the hypothesis that C/EBPs play non-redundant roles in the brain. PMID:19103292

  11. Identification and developmental expression profiling of putative alkaloid biosynthetic genes in Corydalis yanhusuo bulbs.

    PubMed

    Liao, Dengqun; Wang, Pengfei; Jia, Chan; Sun, Peng; Qi, Jianjun; Zhou, Lili; Li, Xian'en

    2016-01-18

    Alkaloids in bulbs of Corydalis (C.) yanhusuo are the major pharmacologically active compounds in treatment of blood vessel diseases, tumors and various pains. However, due to the absence of gene sequences in C. yanhusuo, the genes involved in alkaloid biosynthesis and their expression during bulb development remain unknown. We therefore established the first transcriptome database of C. yanhusuo via Illumina mRNA-Sequencing of a RNA composite sample collected at Bulb initiation (Day 0), early enlargement (Day 10) and maturation (Day 30). 25,013,630 clean 90 bp paired-end reads were de novo assembled into 47,081 unigenes with an average length of 489 bp, among which 30,868 unigenes (65.56%) were annotated in four protein databases. Of 526 putative unigenes involved in biosynthesis o f various alkaloids, 187 were identified as the candidate genes involved in the biosynthesis of benzylisoquinoline alkaloids (BIAs), the only alkaloid type reported in C. yanhusuo untill now. BIAs biosynthetic genes were highly upregulated in the overall pathway during bulb development. Identification of alkaloid biosynthetic genes in C. yanhusuo provide insights on pathways and molecular regulation of alkaloid biosynthesis, to initiate metabolic engineering in order to improve the yield of interesting alkaloids and to identify potentially new alkaloids predicted from the transcriptomic information.

  12. Species identification and phylogenetic analysis of genus Nassarius (Nassariidae) based on mitochondrial genes

    NASA Astrophysics Data System (ADS)

    Li, Haitao; Lin, Duan; Fang, Hongda; Zhu, Aijia; Gao, Yang

    2010-05-01

    Genus Nassarius contains many subgenera, such as Zeuxis, Telasco, Niotha, Varicinassa, Plicarcularia, Nassarius s. str. and Reticunassa. On the basis of morphological characteristics of the shell and radula and sequences of mitochondrial cytochrome oxidase subunit I (COI) and 16S rRNA genes, Nassarius specimens collected from the South China Sea were identified and phylogenetically analyzed. Although Nassarius sp. and Nassarius ( Varicinassa) variciferus were morphologically different in their shells, few variations were found among their radular teeth and sequences of mtCOI and mt16S RNA genes. Therefore, Nassarius sp. should be classified as N. (Varicinassa) variciferus. Nassarius (Zeuxis) sp. has only a subtle difference from Nassarius (Zeuxis) algidus on the shell, but it shows obvious differences in radular teeth and DNA sequence, indicating that they are two distinct species. Sequence divergence of mtCOI and mt16S RNA genes within Nassarius species was much lower than that between species, suggesting that these two genes are suitable for Nassarius species identification. Phylogenetic analysis (neighbor-joining and maximum parsimony) based on mtCOI and mt16S rRNA genes revealed the presence of two groups in genus Nassarius and a closest relationship between subgenera Zeuxis and Telasco. Species of subgenus Plicarcularia did not form a single clade. The molecular phylogeny was not congruent with the previous morphological phylogeny. The subgeneric divisions of genus Nassarius appear to be uncertain and unreliable.

  13. Identification of FECH gene multiple variations in two Chinese patients with erythropoietic protoporphyria and a review* #

    PubMed Central

    Long, Zhang-biao; Wang, Yong-wei; Yang, Chen; Liu, Gang; Du, Ya-li; Nie, Guang-jun; Chang, Yan-zhong; Han, Bing

    2016-01-01

    Erythropoietic protoporphyria (EPP), an autosomal dominant disease, is caused by partial deficiency of ferrochelatase (FECH), which catalyzes the terminal step of heme biosynthesis because of loss-of-function mutations in the FECH gene. To date, only a few cases have been described in Asia. In this study, we describe the clinical features of two Chinese patients with EPP, with diagnosis confirmed by the increase of free protoporphyrin in erythrocytes, detection of plasma fluorescence peak at 630–634 nm, and analysis of FECH gene mutations. Using gene scanning, we identified a small deletion in the FECH gene (c.973 delA) in one proband (patient A) and a pathogenic FECH mutation (c.1232 G>T) in the other (patient B) and also observed some nucleotide variations (c.798 C>G, c.921 A>G, IVS1−23 C>T, IVS3+23 A>G, IVS9+35 C>T, and IVS3−48 T>C) in these patients. The family pedigree of patient A was then established by characterization of the genotype of the patient’s relatives. We also analyzed the potential perniciousness of the missense mutation with bioinformatic software, Polyphen and Sift. In summary, Chinese EPP patients have similar manifestations to those of Caucasians, and identification of the Chinese FECH gene mutations expands the FECH genotypic spectrum and may contribute to genetic counseling. PMID:27704751

  14. Identification and developmental expression profiling of putative alkaloid biosynthetic genes in Corydalis yanhusuo bulbs

    PubMed Central

    Liao, Dengqun; Wang, Pengfei; Jia, Chan; Sun, Peng; Qi, Jianjun; Zhou, Lili; Li, Xian’en

    2016-01-01

    Alkaloids in bulbs of Corydalis (C.) yanhusuo are the major pharmacologically active compounds in treatment of blood vessel diseases, tumors and various pains. However, due to the absence of gene sequences in C. yanhusuo, the genes involved in alkaloid biosynthesis and their expression during bulb development remain unknown. We therefore established the first transcriptome database of C. yanhusuo via Illumina mRNA-Sequencing of a RNA composite sample collected at Bulb initiation (Day 0), early enlargement (Day 10) and maturation (Day 30). 25,013,630 clean 90 bp paired-end reads were de novo assembled into 47,081 unigenes with an average length of 489 bp, among which 30,868 unigenes (65.56%) were annotated in four protein databases. Of 526 putative unigenes involved in biosynthesis o f various alkaloids, 187 were identified as the candidate genes involved in the biosynthesis of benzylisoquinoline alkaloids (BIAs), the only alkaloid type reported in C. yanhusuo untill now. BIAs biosynthetic genes were highly upregulated in the overall pathway during bulb development. Identification of alkaloid biosynthetic genes in C. yanhusuo provide insights on pathways and molecular regulation of alkaloid biosynthesis, to initiate metabolic engineering in order to improve the yield of interesting alkaloids and to identify potentially new alkaloids predicted from the transcriptomic information. PMID:26777987

  15. In silico identification and characterization of N-Terminal acetyltransferase genes of