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Sample records for adrian proteomics myers

  1. 78 FR 14304 - Adrian Vela: Debarment Order

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-03-05

    ... at Sea Food Center's Tampa facility to divide the shrimp received from Thailand, Malaysia, and... HUMAN SERVICES Food and Drug Administration Adrian Vela: Debarment Order AGENCY: Food and Drug Administration, HHS. ACTION: Notice. SUMMARY: The Food and Drug Administration (FDA) is issuing an order...

  2. Adrian E. Gill 1937”1986

    NASA Astrophysics Data System (ADS)

    Clarke, Allan J.

    On April 19, Adrian Gill, FRS, my former thesis advisor and distinguished friend, died suddenly of cancer. My sadness and disbelief are more strongly felt because the life of this gifted and generous man ended so early.Born in Melbourne, Australia, Adrian was granted his Ph.D. at Cambridge University, Cambridge, U.K., in 1963. After a year at the Massachusetts Institute of Technology (Cambridge, Mass.), he returned to Cambridge in Britain, where he spent most of the rest of his life. In 1984, he left Cambridge to become director and cofounder of the Hooke Institute in Oxford, U.K. During his career he enjoyed many summers working in the United States.

  3. 33 CFR 100.736 - Annual Fort Myers Beach air show; Fort Myers Beach, FL.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 33 Navigation and Navigable Waters 1 2012-07-01 2012-07-01 false Annual Fort Myers Beach air show; Fort Myers Beach, FL. 100.736 Section 100.736 Navigation and Navigable Waters COAST GUARD, DEPARTMENT... Fort Myers Beach air show; Fort Myers Beach, FL. (a)(1) Regulated Area. The regulated area is formed...

  4. 33 CFR 100.736 - Annual Fort Myers Beach air show; Fort Myers Beach, FL.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 33 Navigation and Navigable Waters 1 2011-07-01 2011-07-01 false Annual Fort Myers Beach air show; Fort Myers Beach, FL. 100.736 Section 100.736 Navigation and Navigable Waters COAST GUARD, DEPARTMENT... Fort Myers Beach air show; Fort Myers Beach, FL. (a)(1) Regulated Area. The regulated area is formed...

  5. 33 CFR 100.736 - Annual Fort Myers Beach air show; Fort Myers Beach, FL.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 33 Navigation and Navigable Waters 1 2013-07-01 2013-07-01 false Annual Fort Myers Beach air show; Fort Myers Beach, FL. 100.736 Section 100.736 Navigation and Navigable Waters COAST GUARD, DEPARTMENT... Fort Myers Beach air show; Fort Myers Beach, FL. (a)(1) Regulated Area. The regulated area is formed...

  6. 33 CFR 100.736 - Annual Fort Myers Beach air show; Fort Myers Beach, FL.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 33 Navigation and Navigable Waters 1 2010-07-01 2010-07-01 false Annual Fort Myers Beach air show; Fort Myers Beach, FL. 100.736 Section 100.736 Navigation and Navigable Waters COAST GUARD, DEPARTMENT... Fort Myers Beach air show; Fort Myers Beach, FL. (a)(1) Regulated Area. The regulated area is formed...

  7. 33 CFR 100.736 - Annual Fort Myers Beach air show; Fort Myers Beach, FL.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 33 Navigation and Navigable Waters 1 2014-07-01 2014-07-01 false Annual Fort Myers Beach air show; Fort Myers Beach, FL. 100.736 Section 100.736 Navigation and Navigable Waters COAST GUARD, DEPARTMENT... Fort Myers Beach air show; Fort Myers Beach, FL. (a)(1) Regulated Area. The regulated area is formed...

  8. 33 CFR 100.717 - Annual Fort Myers Beach Offshore Grand Prix; Fort Myers, FL.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 33 Navigation and Navigable Waters 1 2013-07-01 2013-07-01 false Annual Fort Myers Beach Offshore Grand Prix; Fort Myers, FL. 100.717 Section 100.717 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY REGATTAS AND MARINE PARADES SAFETY OF LIFE ON NAVIGABLE WATERS § 100.717 Annual Fort Myers Beach Offshore Grand...

  9. 33 CFR 100.717 - Annual Fort Myers Beach Offshore Grand Prix; Fort Myers, FL.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 33 Navigation and Navigable Waters 1 2012-07-01 2012-07-01 false Annual Fort Myers Beach Offshore Grand Prix; Fort Myers, FL. 100.717 Section 100.717 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY REGATTAS AND MARINE PARADES SAFETY OF LIFE ON NAVIGABLE WATERS § 100.717 Annual Fort Myers Beach Offshore Grand...

  10. Roger Alan Myers (1930-2015).

    PubMed

    Phillips, Susan D; Ivey, Allen E

    2016-04-01

    Presents an obituary for Roger Alan Myers, who passed away September 13, 2015, in Stuart, Florida, at age 85. Meyers was a long-time national leader of counseling psychology. (PsycINFO Database Record PMID:27042889

  11. Adrian Fogelin's Fiction in the Middle School Classroom.

    ERIC Educational Resources Information Center

    Bowman, Cindy; Edenfield, Renn

    2003-01-01

    Presents a university teacher educator's perspective and a middle school classroom teacher's perspective of Adrian Fogelin's fiction. Discusses the use of "Crossing Jordan" in the schools. Discusses activities that can be used with this novel. Describes how pre-service teachers learn about teaching literature in the middle schools. Presents four…

  12. Omapatrilat. Bristol-Myers Squibb.

    PubMed

    Tabrizchi, R

    2001-10-01

    Bristol-Myers Squibb (BMS) is developing the vasopeptidase inihibitor, omapatrilat, a dual inhibitor of angiotensin converting enzyme (ACE) and neutral endopeptidase (NEP), for the potential treatment of cardiovascular diseases such as hypertension and heart failure [306287]. An NDA for the use of omapatrilat in hypertension was filed with the FDA and the regulatory authorities in the EU in December 1999 [351207], [353287]. In April 2000, BMS voluntarily withdrew the NDA in response to questions raised by the FDA regarding the comparative incidence and severity of an infrequent side effect (angioedema) reported within the NDA database. Prospective controlled clinical studies in patients with hypertension and heart failure were to continue. In May 2001, BMS reported that its blinded omapatrilat hypertension study was continuing and, pending supportive results from a data analysis anticipated in late summer/early autumn 2001, the company expected to refile an NDA with the FDA [409203]. In July 2000, BMS reported that it planned to conduct a multinational, 25,000 patient study (OCTAVE - Omapatrilat Cardiovascular Treatment Assessment Versus Enalapril) to compare the efficacy and safety of omapatrilat against enalapril in the treatment of hypertension [374909]. The OCTAVE trial was expected to generate data by mid-2001, which could allow for a launch by early 2002 [380280]. Phase III trials for hypertension had commenced by January 1998 [273646]. In January 2001, Merrill Lynch expected BMS to refile its NDA with the FDA in the second half of 2001 [395423]. In February 2001, Credit Suisse First Boston made a similar prediction, adding that it believed BMS would launch the drug in late 2002 or early 2003. The analysts also predicted peak sales for the drug of $585 million in 2005 [399484]. In May 2001, Merrill Lynch estimated sales of $1.8 billion in 2005 [411811]. PMID:11890357

  13. Myers-Briggs typology and Jungian individuation.

    PubMed

    Myers, Steve

    2016-06-01

    Myers-Briggs typology is widely seen as equivalent to and representative of Jungian theory by the users of the Myers-Briggs Type Indicator (MBTI) and similar questionnaires. However, the omission of the transcendent function from the theory, and the use of typological functions as its foundation, has resulted in an inadvertent reframing of the process of individuation. This is despite some attempts to integrate individuation and typology, and reintroduce the transcendent function into Myers-Briggs theory. This paper examines the differing views of individuation in Myers-Briggs and Jungian theory, and some of the challenges of reconciling those differences, particularly in the context of normality. It proposes eight principles, drawn mainly from Jungian and classical post-Jungian work, that show how individuation as a process can be integrated with contemporary Myers-Briggs typology. These principles show individuation as being a natural process that can be encouraged outside of the analytic process. They make use of a wide range of opposites as well as typological functions, whilst being centred on the transcendent function. Central to the process is the alchemical image of the caduceus and a practical interpretation of the axiom of Maria, both of which Jung used to illustrate the process of individuation. PMID:27192365

  14. Collective Bargaining Agreement between Adrian College and Adrian College Association of Professors (MEA/NEA), September 1, 1984-September 1, 1986.

    ERIC Educational Resources Information Center

    Michigan Education Association, East Lansing.

    The collective bargaining agreement between Adrian College and Adrian College Association of Professors, an affiliate of the Michigan and National Education Associations, covering the period September 1, 1984-September 1, 1986 is presented. Items covered in the agreement include: unit recognition; definitions; rights of the Board of Trustees;…

  15. The Myers-Briggs Type of College Student Leaders.

    ERIC Educational Resources Information Center

    Darst, Kimberly Vess

    2001-01-01

    Determined the Myers-Briggs type for 149 undergraduate students holding leadership positions in student organizations. Found that college student leaders tent to be Extraverted, Sensing, Thinking, and Judging on the Myers-Briggs Type Indicator. (EV)

  16. Adrian Stokes and the portrait of Melanie Klein.

    PubMed

    Sayers, Janet

    2015-08-01

    This paper focuses on the offer by the art writer Adrian Stokes to commission and pay for a portrait of the psychoanalyst Melanie Klein by the artist William Coldstream. It details some of the precursors of this offer in Stokes's preceding involvement first with Klein and then with Coldstream; her response to this offer; and its outcome and aftermath in Stokes's subsequent writing about Klein and Coldstream. PMID:25989030

  17. 1. Historic American Buildings Survey Photocopy: engraving published by Myer, ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    1. Historic American Buildings Survey Photocopy: engraving published by Myer, 1851 - United States General Post Office, Between Seventh, Eighth, E, & F Streets, Northwest, Washington, District of Columbia, DC

  18. 33 CFR 100.717 - Annual Fort Myers Beach Offshore Grand Prix; Fort Myers, FL.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ...°58.30′ W). All coordinates referenced use datum: NAD 83. (b) Special local regulations. (1) No vessel... coordinates referenced use datum: NAD 83. (3) All vessel traffic, not involved with the Fort Myers Beach... clear of the racecourse. All coordinates referenced use datum: NAD 83. (4) All vessel traffic,...

  19. 33 CFR 100.717 - Annual Fort Myers Beach Offshore Grand Prix; Fort Myers, FL.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ...°58.30′ W). All coordinates referenced use datum: NAD 83. (b) Special local regulations. (1) No vessel... coordinates referenced use datum: NAD 83. (3) All vessel traffic, not involved with the Fort Myers Beach... clear of the racecourse. All coordinates referenced use datum: NAD 83. (4) All vessel traffic,...

  20. 33 CFR 100.717 - Annual Fort Myers Beach Offshore Grand Prix; Fort Myers, FL.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ...°58.30′ W). All coordinates referenced use datum: NAD 83. (b) Special local regulations. (1) No vessel... coordinates referenced use datum: NAD 83. (3) All vessel traffic, not involved with the Fort Myers Beach... clear of the racecourse. All coordinates referenced use datum: NAD 83. (4) All vessel traffic,...

  1. 8. Photocopy of architectural drawing (from blueprint at Fort Myer ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    8. Photocopy of architectural drawing (from blueprint at Fort Myer Engineer Activity) 'Double set of Non-Commissioned Officers Qrs.' Quartermaster Generals Office, sheets 2 and 3, standard plan 23, June 1891, Lithographed on linen architectural drawing. 1 PLAN, 3 ELEVATIONS - Fort Myer, Non-Commissioned Officers Quarters, Washington Avenue between Johnson Lane & Custer Road, Arlington, Arlington County, VA

  2. 9. Photocopy of architectural drawing (from blueprint at Fort Myer ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    9. Photocopy of architectural drawing (from blueprint at Fort Myer Engineer Activity) 'Double Set of Non-Commissioned Officers Qrs.' Quartermaster Generals Office, sheet 1 and unnumbered sheet, standard plan 23, June 1891. lithograph on linen architectural drawing 2. PLANS, 1 SECTION, 2 DETAILS - Fort Myer, Non-Commissioned Officers Quarters, Washington Avenue between Johnson Lane & Custer Road, Arlington, Arlington County, VA

  3. 75 FR 61817 - Adrian & Blissfield Rail Road Company-Continuance in Control Exemption-Jackson & Lansing Railroad...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-10-06

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF TRANSPORTATION Surface Transportation Board Adrian & Blissfield Rail Road Company--Continuance in Control Exemption--Jackson & Lansing Railroad Company Adrian & Blissfield Rail Road Company (ADBF), a Class III rail...

  4. 75 FR 41895 - Inteva Products, LLC Adrian, Michigan; Inteva Products, LLC Troy, Michigan; Amended Certification...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-07-19

    ... Register on May 28, 2010 (75 FR 30072). At the request of the State agency, the Department reviewed the..., Michigan location provides human resources, administrative functions, engineering and financial services... Employment and Training Administration Inteva Products, LLC Adrian, Michigan; Inteva Products, LLC...

  5. An Assessment of the Myers-Briggs Type Indicator

    ERIC Educational Resources Information Center

    Carlyn, Marcia

    1977-01-01

    The Myers Briggs Type Indicator is a self-report inventory developed to measure variables in Carl Jung's personality typology. The four personality scales measured by the instrument, and the scoring process are described, and an extensive review of the intercorrelation, reliability, and validity research is presented. (Author/MV)

  6. Myers-Briggs Type Inventory Personality Preferences and Academic Performance.

    ERIC Educational Resources Information Center

    Lowenthal, Werner; Meth, Hilda

    1989-01-01

    A study to determine if there are any relationships between the Myers-Briggs Type Inventory personality preferences and academic performance in schools of pharmacy is discussed. Differences in academic performance that could be related to gender are reported. (Author/MLW)

  7. Myers-Briggs Type Indicator and Dental School Performance.

    ERIC Educational Resources Information Center

    Jones, Anne C.; Courts, Frank J.; Sandow, Pamela L.; Watson, Ronald E.

    1997-01-01

    A study, using Myers-Briggs Type Indicators, of 256 dental students in four classes found introverted students performed better on the National Dental Board Examinations but had progressively lower class rank over four years and experienced more major academic difficulties. Judging and sensing students had higher rank than perceiving and intuitive…

  8. Writing through the Labyrinth of Fears: The Legacy of Walter Dean Myers

    ERIC Educational Resources Information Center

    Tatum, Alfred W.

    2015-01-01

    This commentary discusses the legacy of Walter Dean Myers in relationship to advancing writing as an intellectual tool of protection for black male teens. Multiple implications are provided for teachers who want to engage black male teens to write fearlessly to extend the legacy of Walter Dean Myers.

  9. Myers-Briggs® Preferences and Academic Success in the First College Semester

    ERIC Educational Resources Information Center

    Sanborn, Debra K.

    2013-01-01

    This research examined aspects of Myers-Briggs® preferences and academic success in the first college semester. Academic aptitude as measured by precollege characteristics of ACT and class rank, academic performance during the first semester of college, and Myers-Briggs preference were analyzed for their significance within a learning community at…

  10. 33 CFR 100.740 - Annual Offshore Super Series Boat Race; Fort Myers Beach, FL.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 33 Navigation and Navigable Waters 1 2011-07-01 2011-07-01 false Annual Offshore Super Series Boat Race; Fort Myers Beach, FL. 100.740 Section 100.740 Navigation and Navigable Waters COAST GUARD... Annual Offshore Super Series Boat Race; Fort Myers Beach, FL. (a) Regulated area. (1) The regulated...

  11. 33 CFR 100.740 - Annual Offshore Super Series Boat Race; Fort Myers Beach, FL.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 33 Navigation and Navigable Waters 1 2010-07-01 2010-07-01 false Annual Offshore Super Series Boat Race; Fort Myers Beach, FL. 100.740 Section 100.740 Navigation and Navigable Waters COAST GUARD... Annual Offshore Super Series Boat Race; Fort Myers Beach, FL. (a) Regulated area. (1) The regulated...

  12. 33 CFR 100.740 - Annual Offshore Super Series Boat Race; Fort Myers Beach, FL.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 33 Navigation and Navigable Waters 1 2012-07-01 2012-07-01 false Annual Offshore Super Series Boat Race; Fort Myers Beach, FL. 100.740 Section 100.740 Navigation and Navigable Waters COAST GUARD... Annual Offshore Super Series Boat Race; Fort Myers Beach, FL. (a) Regulated area. (1) The regulated...

  13. 33 CFR 100.740 - Annual Offshore Super Series Boat Race; Fort Myers Beach, FL.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 33 Navigation and Navigable Waters 1 2014-07-01 2014-07-01 false Annual Offshore Super Series Boat Race; Fort Myers Beach, FL. 100.740 Section 100.740 Navigation and Navigable Waters COAST GUARD... Annual Offshore Super Series Boat Race; Fort Myers Beach, FL. (a) Regulated area. (1) The regulated...

  14. 33 CFR 100.740 - Annual Offshore Super Series Boat Race; Fort Myers Beach, FL.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 33 Navigation and Navigable Waters 1 2013-07-01 2013-07-01 false Annual Offshore Super Series Boat Race; Fort Myers Beach, FL. 100.740 Section 100.740 Navigation and Navigable Waters COAST GUARD... Annual Offshore Super Series Boat Race; Fort Myers Beach, FL. (a) Regulated area. (1) The regulated...

  15. Making Connections in the Life and Works of Walter Dean Myers.

    ERIC Educational Resources Information Center

    Greever, Ellen A.; Austin, Patricia

    1998-01-01

    Discusses the life and works of acclaimed writer Walter Dean Myers. Describes his struggles growing up, his time in the army, his decision to become a writer, and the father/son relationships in his books. Discusses how Myers' concern for African-American heritage, identity, and pride led to biographies of Sarah Forbes and of Malcolm X. (SR)

  16. Bibliography 1969-1976: Hester Adrian Research Centre for the Study of Learning Processes in the Mentally Handicapped.

    ERIC Educational Resources Information Center

    Mittler, P.

    1978-01-01

    This bibliography lists approximately 200 publications arising from work conducted in or in association with the Hester Adrian Research Centre between 1969 and 1976. They include books, chapters, journal articles, conference proceedings, teaching materials and tests, theses, and miscellaneous publications. (CP)

  17. The scalar sector in the Myers-Pospelov model

    SciTech Connect

    Reyes, C. M.; Urrutia, L.; Vergara, J. D.

    2008-03-06

    We construct a perturbative expansion of the scalar sector in the Myers-Pospelov model, up to second order in the Lorentz violating parameter and taking into account its higher-order time derivative character. This expansion allows us to construct an hermitian positive-definite Hamiltonian which provides a correct basis for quantization. Demanding that the modified normal frequencies remain real requires the introduction of an upper bound in the magnitude |k| of the momentum, which is a manifestation of the effective character of the model. The free scalar propagator, including the corresponding modified dispersion relations, is also calculated to the given order, thus providing the starting point to consider radiative corrections when interactions are introduced.

  18. Self-Selection Patterns of College Roommates as Identified by the Myers-Briggs Type Indicator.

    ERIC Educational Resources Information Center

    Anchors, W. Scott; Hale, John, Jr.

    1985-01-01

    Investigated patterns and processes by which students (N=422) made unassisted roommate pairings within residence halls using the Myers-Briggs Type Indicator. Results indicated introverts, intuitives, feelers, and perceivers each tended to self-select. (BL)

  19. On advancing behavior analysis in the treatment and prevention of battering: Commentary on Myers

    PubMed Central

    Peterson, Lizette; Calhoun, Karen

    1995-01-01

    Myers offers an important challenge to behavior analysts: eliminating the battering of women. In this commentary, we extend the conceptual model advocated by Myers, urge a bidirectional approach that focuses more on the battered woman and less on the battering man, caution against the indiscriminate use of marital therapy approaches, and argue that the most important contributions in the field may come from behavioral prevention rather than treatment interventions. PMID:16795879

  20. No ISCOs in Charged Myers Perry Spacetimes by Measuring Lyapunov Exponent

    NASA Astrophysics Data System (ADS)

    Pradhan, Parthapratim

    2015-01-01

    By computing coordinate time Lyapunov exponent, we prove that for more than four spacetime dimensions (N ≥ 3), there are no Innermost Stable Circular Orbit (ISCO) in charged Myers Perry blackhole spacetime.Using it, we show that the instability of equatorial circular geodesics, both massive and massless particles for such types of blackhole space-times.

  1. Survey of Librarians Using the Myers-Briggs Type Indicator (Form G Self-Scorable).

    ERIC Educational Resources Information Center

    Johns, Alan

    A survey conducted in February 1990 asked 100 librarians to respond to a mailed Myers-Briggs Type Indicator (MBTI), a widely used personality survey that determines Jungian personality types. The results of the MBTI can be applied to building work teams in the library. Forty-eight librarians responded to the survey. Their responses were tallied…

  2. The Myers-Briggs Type Indicator and the Teaching-Learning Process.

    ERIC Educational Resources Information Center

    McCaulley, Mary H.

    The Myers-Briggs Type Indicator (MBTI) was developed specifically to make possible the implementation of Carl Jung's theory of type and is concerned mainly with conscious elements of the personality. It assumes that to function well, an individual must have a well-developed system for perception and a well-developed system for making decisions or…

  3. Threads in Our Cultural Fabric: A Conversation with Walter Dean Myers.

    ERIC Educational Resources Information Center

    Sutton, Roger

    1994-01-01

    Presents an interview with Walter Dean Myers, the 1994 recipient of the Margaret A. Edwards Award for his novels depicting African American teenagers in urban America. Highlights include black stereotypes; writing from a black point of view; writing about a culture that's not your own; and readers identifying with characters. (LRW)

  4. Myers-Briggs Attitude Typology: The Influence of Birth Order with Other Family Variables.

    ERIC Educational Resources Information Center

    Stansbury, Virginia K.; Coll, Kenneth M.

    1998-01-01

    Investigates the influence of birth order with parenting style, age spacing, gender, and socioeconomic status on the Myers-Briggs attitude scales of Extroversion/Introversion and Judging/Perceiving. Results indicate that age spacing interacted with birth order to influence Extroversion/Introversion scores. Parenting style and gender interacted…

  5. Failure of the Ingard-Myers boundary condition for a lined duct: an experimental investigation.

    PubMed

    Renou, Ygaäl; Aurégan, Yves

    2011-07-01

    This paper deals with experimental investigation of the lined wall boundary condition in flow duct applications such as aircraft engine systems or automobile mufflers. A first experiment, based on a microphone array located in the liner test section, is carried out in order to extract the axial wavenumbers with the help of an "high-accurate" singular value decomposition Prony-like algorithm. The experimental axial wavenumbers are then used to provide the lined wall impedance for both downstream and upstream acoustic propagation by means of a straightforward impedance education method involving the classical Ingard-Myers boundary condition. The results show that the Ingard-Myers boundary condition fails to predict with accuracy the acoustic behavior in a lined duct with flow. An effective lined wall impedance, valid whatever the direction of acoustic propagation, can be suitably found from experimental axial wavenumbers and a modified version of the Ingard-Myers condition with the form inspired from a previous theoretical study [Aurégan et al., J. Acoust. Soc. Am. 109, 59-64 (2001)]. In a second experiment, the scattering matrix of the liner test section is measured and is then compared to the predicted scattering matrix using the multimodal approach and the lined wall impedances previously deduced. A large discrepancy is observed between the measured and the predicted scattering coefficients that confirms the poor accuracy provided from the Ingard-Myers boundary condition widely used in lined duct applications. PMID:21786877

  6. Using the Myers-Briggs Type Indicator in the Social Work Classroom.

    ERIC Educational Resources Information Center

    Aviles, Christopher B.

    The Myers-Briggs Type Indicator (MBTI) is one of the most popular measures of personality available today and has been taken by over 12 million people. The MBTI has been successfully utilized for personal and marriage counseling, conflict and stress management, and understanding learning styles. It is perfect for the social work classroom because…

  7. Eysenck Personality Questionnaire and Jungian Myers-Briggs Type Indicator Correlation of Extraversion-Introversion

    ERIC Educational Resources Information Center

    Steele, Robert S.; Kelly, Thomas J.

    1976-01-01

    C. G. Jung and H. J. Eysenck developed concepts of extraversion-introversion from radically different theoretical orientations. It is hypothesized that given the methods and content similarity of the Eysenck Personality Questionnaire and the Myers-Briggs Type Indicator. Extraversion-Introversion scales of the inventories will be significantly…

  8. The Complex and Elusive Nature of Religious Prosociality: Reply to Myers (2012) and Saroglou (2012)

    ERIC Educational Resources Information Center

    Galen, Luke W.

    2012-01-01

    This reply explores issues raised in comments by Myers (2012) and Saroglou (2012) on Galen (2012) regarding whether religiosity has any influence on prosociality. Areas of contention include (a) the distinction between religious belief and other influences, mainly the socialization effects of group behavior; (b) whether behavior largely restricted…

  9. Queens University of Charlotte--Myers Park Traditional Elementary School Partnership

    ERIC Educational Resources Information Center

    Horn, Suzanne E.; Wooten-Thornburg, Amy; Bonner, Paul; Boyd, Irma; Gerald, Jamie; Perkins, Shavonn; Mercer, Elizabeth; Hunter, Laura

    2010-01-01

    Great work can be accomplished with little budgets and big dreams and desires for increased student achievement. The focus of the Queens University of Charlotte and Myers Park Traditional School (MPTS) partnership was excellent teacher development that centered on learning as a community of teachers (both pre-service and in-service). What they…

  10. Enhancing Student Team Effectiveness: Application of Myers-Briggs Personality Assessment in Business Courses

    ERIC Educational Resources Information Center

    Amato, Christie H.; Amato, Louis H.

    2005-01-01

    This article examines the relationship between student perceptions of team learning experience and communication style. Student group learning perceptions were evaluated and team communication style was measured using dyads derived from Myers-Briggs personality profiles. Groups containing similar personalities were classified as compatible,…

  11. Subleading correction to statistical entropy for Breckenridge-Myers-Peet-Vafa black holes

    SciTech Connect

    Banerjee, Nabamita

    2009-04-15

    We study higher derivative corrections to the statistical entropy function and the statistical entropy for five-dimensional Breckenridge-Myers-Peet-Vafa black holes by doing the asymptotic expansion of the partition function. This enables us to evaluate entropy for a large range of charges, even out of the Cardy (Farey tail) limit.

  12. Differences in Myers-Briggs Personality Types among High School Band, Orchestra, and Choir Members

    ERIC Educational Resources Information Center

    MacLellan, Christin Reardon

    2011-01-01

    The purpose of this study was to explore personality type differences among high school band, string orchestra, and choir students according to ensemble membership. Participants (N = 355) were high school students who had participated in their school's band, orchestra, or choir for 1 year or more. The author administered the Myers-Briggs Type…

  13. Important and Unimportant Organizational Communication: Public Employee Freedom of Speech after "Connick v. Myers."

    ERIC Educational Resources Information Center

    Sanders, Wayne C.

    A review of 16 Federal Court of Appeals cases indicates the impact of the "Connick v. Myers" case on the nature of freedom of speech in public organizations. The case involved the firing of an assistant district attorney for circulating a job satisfaction survey after she was transferred to a less desirable section of the courts. Since the 1983…

  14. Teacher's Myers-Briggs Personality Profiles: Identifying Effective Teacher Personality Traits

    ERIC Educational Resources Information Center

    Rushton, Stephen; Morgan, Jackson; Richard, Michael

    2007-01-01

    The Myers-Briggs Type Inventory (MBTI) and Beiderman Risk Taking (BRT) scale were administered to 58 teachers living in the state of Florida, USA. These teachers are considered part of prestigious group of educators who were nominated into the Florida League of Teachers by their superintendents/directors. Descriptive data includes frequency and…

  15. The Influence of Hemispheric Dominance on Scores of the Myers-Briggs Type Indicator.

    ERIC Educational Resources Information Center

    Hartman, Steve E.; And Others

    1997-01-01

    Results for 75 medical students and 248 undergraduates suggest that the Myers-Briggs Type Indicator appears to sample only 3 bipolar personality dimensions rather than the 4 that the use of "type tables" implies. One of these dimensions shares substantial variance with the cognitive model of hemispheric dominance. (SLD)

  16. Opposition from Christians to Myers-Briggs Personality Typing: An Analysis and Evaluation

    ERIC Educational Resources Information Center

    Lloyd, John B.

    2007-01-01

    Myers-Briggs personality typing is widely used in the Christian church as an aid to individual self-understanding and spiritual formation. However, some Christian leaders have expressed doubt about its validity in understanding human personality and also opposition to its use in nurturing spiritual growth. The aim of the work reported was to…

  17. Personality Characteristics of South Korean Students with Visual Impairments Using the Myers-Briggs Type Indicator

    ERIC Educational Resources Information Center

    Bak, Sunhi

    2012-01-01

    Introduction: The study presented here was designed to determine whether there were significant differences in the frequency and preference scores of personality functions and the frequency of personality types, as measured by the Myers-Briggs Type Indicator (MBTI), by gender, school level, and level of visual function, of students with visual…

  18. Nerves, alcohol and drugs, the Adrian-Kato controversy on nervous conduction: deep insights from a "wrong" experiment?

    PubMed

    Piccolino, Marco

    2003-12-01

    Edgar Douglas Adrian, a dominating figure of 20th century electrophysiology, published in 1912 a study on the effects of the conduction block induced by application of alcohol vapours to small segments of nerves from which he derived the conclusion that nerve signals regenerate along the nerve fibre during the conduction process. This conclusion was based on results of experiments in which the time required to produce a conduction block was found to decrease as the length of the nerve segment treated was increased. These results could not be confirmed when similar experiments were performed about 10 years later by Gen'ichi Kato, a leading figure of Japanese physiology and founder of one of the great schools of Japanese electrophysiology. Directly or indirectly, the Adrian-Kato controversy was at the inception of two of the most important advancements of 20th century neurophysiology: the elucidation of the mechanism of nervous conduction in squid giant axon by Hodgkin and Huxley and the discovery of the saltatory conduction in myelinated nerve fibres by Tasaki, Takeuchi, Huxley and Stämpfli. This controversy is also interesting for its epistemological aspects, which is important now to re-evaluate. PMID:14629928

  19. Over-representation of Myers Briggs Type Indicator introversion in social phobia patients.

    PubMed

    Janowsky, D S; Morter, S; Tancer, M

    2000-01-01

    The purpose of this study is to profile the personalities of patients with social phobia. Sixteen patients with social phobia were compared with a normative population of 55,971, and with 24 hospitalized Major Depressive Disorder inpatients, using the Myers Briggs Type Indicator. The Myers Briggs Type Indicator, a popular personality survey, divides individuals into eight categories: Extroverts versus Introverts, Sensors versus Intuitives, Thinkers versus Feelers, and Judgers versus Perceivers. Social phobia patients were significantly more often Introverts (93.7%) than were subjects in the normative population (46.2%). In addition, using continuous scores, the social phobia patients scored as significantly more introverted than did the patients with Major Depressive Disorder, who also scored as Introverted. Introversion is a major component of social phobia, and this observation may have both etiological and therapeutic significance. PMID:10875053

  20. Painleve-gullstrand-type Coordinates for the Five-dimensional Myers-Perry Black Hole

    NASA Technical Reports Server (NTRS)

    Finch, Tehani Kahi

    2013-01-01

    The Painleve-Gullstrand coordinates provide a convenient framework for presenting the Schwarzschild geometry because of their flat constant-time hypersurfaces, and the fact that they are free of coordinate singularities outside r=0. Generalizations of Painlev´e-Gullstrand coordinates suitable for the Kerr geometry have been presented by Doran and Nat´ario. These coordinate systems feature a time coordinate identical to the proper time of zero-angular-momentum observers that are dropped from infinity. Here, the methods of Doran and Nat´ario are extended to the five-dimensional rotating black hole found by Myers and Perry. The result is a new formulation of the Myers-Perry metric. The properties and physical significance of these new coordinates are discussed.

  1. Nanoscale Proteomics

    SciTech Connect

    Shen, Yufeng; Tolic, Nikola; Masselon, Christophe D.; Pasa-Tolic, Liljiana; Camp, David G.; Anderson, Gordon A.; Smith, Richard D.; Lipton, Mary S.

    2004-02-01

    This paper describes efforts to develop a liquid chromatography (LC)/mass spectrometry (MS) technology for ultra-sensitive proteomics studies, i.e. nanoscale proteomics. The approach combines high-efficiency nano-scale LC with advanced MS, including high sensitivity and high resolution Fourier transform ion cyclotron resonance (FTICR) MS, to perform both single-stage MS and tandem MS (MS/MS) proteomic analyses. The technology developed enables large-scale protein identification from nanogram size proteomic samples and characterization of more abundant proteins from sub-picogram size complex samples. Protein identification in such studies using MS is feasible from <75 zeptomole of a protein, and the average proteome measurement throughput is >200 proteins/h and ~3 h/sample. Higher throughput (>1000 proteins/h) and more sensitive detection limits can be obtained using a “accurate mass and time” tag approach developed at our laboratory. These capabilities lay the foundation for studies from single or limited numbers of cells.

  2. Local energy decay of massive Dirac fields in the 5D Myers-Perry metric

    NASA Astrophysics Data System (ADS)

    Daudé, Thierry; Kamran, Niky

    2012-07-01

    We consider massive Dirac fields evolving in the exterior region of a five-dimensional Myers-Perry black hole and study their propagation properties. Our main result states that the local energy of such fields decays in a weak sense at late times. We obtain this result in two steps: first, using the separability of the Dirac equation, we prove the absence of a pure point spectrum for the corresponding Dirac operator; second, using a new form of the equation adapted to the local rotations of the black hole, we show by a Mourre theory argument that the spectrum is absolutely continuous. This leads directly to our main result.

  3. The upper bound of radiation energy in the Myers-Perry black hole collision

    NASA Astrophysics Data System (ADS)

    Gwak, Bogeun; Lee, Bum-Hoon

    2016-07-01

    We have investigated the upper bound of the radiation energy in the head-on collision of two Myers-Perry black holes. Initially, the two black holes are far away from each other, and they become one black hole after the collision. We have obtained the upper bound of the radiation energy thermodynamically allowed in the process. The upper bound of the radiation energy is obtained in general dimensions. The radiation bound depends on the alignments of rotating axes for a given initial condition due to spin-spin interaction. We have found that the collision may not be occurred for a initially ultra-spinning black hole.

  4. First Response to "The Teacher as a Service Professional," by Donald A. Myers: Don't Settle for a Booby Prize

    ERIC Educational Resources Information Center

    Sikula, John

    2008-01-01

    In this response to Donald A. Myers's "The Teacher as a Service Professional" (2008 [this issue]), the author suggests that teacher educators should not buy into Myers's concept because such would sell them short and be counterproductive to the advancement of the teaching profession. Teacher educators must not give up their struggle to advance the…

  5. Comparing University Students and Community College Students Learning Styles and Myers-Briggs Type Indicator (MBTI) Preferences.

    ERIC Educational Resources Information Center

    Herbster, Douglas L.; And Others

    This document reports on a study to determine if there is a pattern between specific learning styles and Myers-Briggs Type Indicator preferences. The learning style inventory used for the study, "The Teaching and Learning Styles Survey for Adolescents (TLC)," is based on Jungian style preferences--thinker, feeler, sensor, and intuitor--each of…

  6. A Review of the Myers-Briggs Type Inventory: A Potential Training Tool for Human Services Organizations.

    ERIC Educational Resources Information Center

    Aviles, Christopher B.

    The Myers-Briggs Type Inventory (MBTI) can be helpful in personal, career, and marriage counseling; conflict and stress management; team building; and understanding managerial and learning styles. It has great potential to be utilized in human services organizations for training purposes because it offers a way to conceptualize employee…

  7. Harlem Connections: Teaching Walter Dean Myers'"Scorpions" with Paul Laurence Dunbar's "The Sport of the Gods."

    ERIC Educational Resources Information Center

    West, Mark I.

    1999-01-01

    Describes how the author, in a course titled "Literature for Adolescents" paired Walter Dean Myers' 1988 young adult novel, "Scorpions," with Paul Laurence Dunbar's 1902 novel for adults, "The Sport of the Gods." Describes student readers' responses to the pair of books, which focus on the difficulties of growing up in Harlem. (SR)

  8. Validity Evidence for the Myers-Briggs Type Indicator as a Measure of Hemisphere Dominance: Another View.

    ERIC Educational Resources Information Center

    Taggart, William M.; And Others

    1991-01-01

    Relationships among the scales of the Myers Briggs Type Indicator and the Human Information Processing Survey revealed in a study by S. C. Shiflett (1989) were reinvestigated in a study involving 554 college students (270 males and 284 females). One significant gender difference among the correlations was found. (SLD)

  9. The Myers-Briggs Type Indicator[R] and Mainstream Psychology: Analysis and Evaluation of an Unresolved Hostility

    ERIC Educational Resources Information Center

    Lloyd, John B.

    2012-01-01

    The Myers-Briggs Type Indicator (MBTI[R]) is widely used as a staff-development tool in the business and voluntary sectors. Its Psychological Type approach is found to be a valuable aid to understanding self and others and thus to enhancing effective team-working. This continuing and growing popularity is surprising in view of the disdain with…

  10. Water quality study at the Congaree Swamp National monument of Myers Creek, Reeves Creek and Toms Creek. Technical report

    SciTech Connect

    Rikard, M.

    1991-11-01

    The Congaree Swamp National Monument is one of the last significant near virgin tracts of bottom land hardwood forests in the Southeast United States. The study documents a water quality monitoring program on Myers Creek, Reeves Creek and Toms Creek. Basic water quality parameters were analyzed. High levels of aluminum and iron were found, and recommendations were made for further monitoring.

  11. The Myers-Briggs Type Indicator as a Tool to Facilitate Learning Outcomes for Team Building in the Classroom

    ERIC Educational Resources Information Center

    Berry, Priscilla; Wood, Cindy; Thornton, Barry

    2007-01-01

    Globalization and domestic competition are forcing businesses to rethink the human resources utilization process, and one method for considering again this challenge is creating a team culture. One key to this process for human resources development is the understanding of how to create the most successful teams. The use of the Myers-Briggs Type…

  12. Considering Personality Type in Adult Learning: Using the Myers-Briggs Type Indicator in Instructor Preparation at PricewaterhouseCoopers

    ERIC Educational Resources Information Center

    Daisley, Richard J.

    2011-01-01

    This article explores the feasibility of using the Myers-Briggs Type Indicator (MBTI) as a framework for instructor development in a professional services training environment. It explores the consistency of MBTI with common adult learning theory, addresses questions on MBTI's reliability and validity, and explores the applicability of MBTI to the…

  13. The Learning Styles of Registered Nurse Baccalaureate Students Based on the Myers-Briggs Type Indicator: Implications for Teaching.

    ERIC Educational Resources Information Center

    Wahl, Sharon C.

    This descriptive study proposed to use the Myers Briggs Type Indicator (MBTI) to identify the learning styles of registered nurses who have returned to school, and to recommend teaching strategies based on commonalities of their learning styles. The MBTI was administered to 240 registered nurses who were enrolled in either a leadership course in…

  14. Myers-Briggs psychological type and achievement in anatomy and physiology.

    PubMed

    Harasym, P H; Leong, E J; Juschka, B B; Lucier, G E; Lorscheider, F L

    1995-06-01

    Results from the Myers-Briggs Type Indicator (MBTI) for 259 nursing students were compared with their achievement on examinations in an undergraduate course in anatomy and physiology. Factor analysis demonstrated that no relationship existed between any of the eight individual personality traits purported to be measured by MBTI (i.e., E, Extrovert; I, Introvert; S, Sensing; N, Intuition; T, Thinking; F, Feeling; J, Judging; P, Perceiving) and examination scores in this course. The analysis also showed that the bipolar scales S vs. N and J vs. P collapsed into a single bipolar scale (S/J vs. N/P). This means that the MBTI is only capable of measuring three bipolar scales of personality traits instead of four scales as currently claimed. Contrary to other findings, results from an analysis of variance revealed no meaningful relationship between course achievement and psychological types. PMID:7598175

  15. Evaluation of the BEAM--BEAM effect in PEP using Myer's simulation program

    SciTech Connect

    Hutton, A.

    1982-09-01

    The program BEAM BEAM written by Steve Myers for the LEP machine at CERN has given encouraging results in the simulation of the beam-beam effect in electron-positron storage rings. It therefore seemed worthwhile to apply the program to PEP with two main intentions. Firstly, to confirm the validity of the program by comparison with experimental data from previous PEP runs and secondly, to search for an improvement in the operating conditions of PEP. Clearly a successful prediction would also enhance the credibility of the program. The program itself has been extensively described in the literature and will not be repeated here, except for some comments of direct relevance to the present simulation. 14 refs., 15 figs., 4 tabs.

  16. Bimodal score distributions and the Myers-Briggs Type Indicator: fact or artifact?

    PubMed

    Bess, Tammy L; Harvey, Robert J

    2002-02-01

    We examined Myers-Briggs Type Indicator (MBTI) score distributions computed using item response theory (IRT) to assess the generalizability of earlier bimodality reports that have been cited in support of the "type" versus "trait" view of personality. Using the BILOG IRT program to score a sample of approximately 12,000 individuals who participated in leadership development programs, theta score distributions for the 4 dimensions of the MBTI computed using 10 (the BILOG default) versus 50 quadrature points were compared. Results indicated that past reports of bimodality were artifacts caused by BILOG's default use of a small number of quadrature points; when larger numbers of points were used, score distributions became strongly center-weighted. Although our findings are not supportive of the "type"-based hypothesis, the extremely high correlations between theta scores (rs > .996) suggest that no practical differences would be expected as a function of the number-of-quadrature-points decision. PMID:11936208

  17. Perturbations of near-horizon geometries and instabilities of Myers-Perry black holes

    SciTech Connect

    Durkee, Mark N.; Reall, Harvey S.

    2011-05-15

    It is shown that the equations governing linearized gravitational (or electromagnetic) perturbations of the near-horizon geometry of any known extreme vacuum black hole (allowing for a cosmological constant) can be Kaluza-Klein reduced to give the equation of motion of a charged scalar field in AdS{sub 2} with an electric field. One can define an effective Breitenloehner-Freedman bound for such a field. We conjecture that if a perturbation preserves certain symmetries then a violation of this bound should imply an instability of the full black hole solution. Evidence in favor of this conjecture is provided by the extreme Kerr solution and extreme cohomogeneity-1 Myers-Perry solution. In the latter case, we predict an instability in seven or more dimensions and, in five dimensions, we present results for operator conformal weights assuming the existence of a conformal field theory dual. We sketch a proof of our conjecture for scalar field perturbations.

  18. Polyploidy and the proteome.

    PubMed

    Soltis, Douglas E; Misra, Biswapriya B; Shan, Shengchen; Chen, Sixue; Soltis, Pamela S

    2016-08-01

    Although major advances have been made during the past 20 years in our understanding of the genetic and genomic consequences of polyploidy, our knowledge of polyploidy and the proteome is in its infancy. One of our goals is to stimulate additional study, particularly broad-scale proteomic analyses of polyploids and their progenitors. Although it may be too early to generalize regarding the extent to which transcriptomic data are predictive of the proteome of polyploids, it is clear that the proteome does not always reflect the transcriptome. Despite limited data, important observations on the proteomes of polyploids are emerging. In some cases, proteomic profiles show qualitatively and/or quantitatively non-additive patterns, and proteomic novelty has been observed. Allopolyploids generally combine the parental contributions, but there is evidence of parental dominance of one contributing genome in some allopolyploids. Autopolyploids are typically qualitatively identical to but quantitatively different from their parents. There is also evidence of parental legacy at the proteomic level. Proteomes clearly provide insights into the consequences of genomic merger and doubling beyond what is obtained from genomic and/or transcriptomic data. Translating proteomic changes in polyploids to differences in morphology and physiology remains the holy grail of polyploidy--this daunting task of linking genotype to proteome to phenotype should emerge as a focus of polyploidy research in the next decade. This article is part of a Special Issue entitled: Plant Proteomics--a bridge between fundamental processes and crop production, edited by Dr. Hans-Peter Mock. PMID:26993527

  19. Affirming Psychological Science--For Students, Teachers, and the Larger World: An Interview With David G. Myers

    ERIC Educational Resources Information Center

    Miller, Jr., Harold L.

    2005-01-01

    David G. Myers received a BA in chemistry, magna cum laude from Whitworth College and an MA and PhD in psychology from the University of Iowa. Since 1982 he has been the John Dirk Werkman Professor of Psychology at Hope College. He is best known for his authorship of Psychology (2004), now in its 7th edition, and Social Psychology (2005a), now in…

  20. Energy savings opportunity survey, Fort Myer, Arlington, Virginia, summer steam shut-down study: Volume 1 - executive summary

    SciTech Connect

    1994-03-01

    Fort Myer is a permanent United States Army installation located in Arlington County, Virginia, on a site backing Arlington National Cemetery and overlooking the Potomac River and Washington, D.C. The installation consists of offices, family housing, Army Band facilities, supporting facilities, and barracks buildings including those known as the `Old Guard Barracks` which house soldiers that provide services at Arlington National Cemetery. This report consists of the Summer Steam Shut Down Study of an Energy Savings Opportunity Survey (ESOS) at Fort Myer. The purpose of this study is to improve energy efficiency at Fort Myer by analyzing the effects and benefits of closing the central steam producing boiler facility, Building 447, during the non-heating months from mid-May to mid-October. Currently, the central steam plant operates through this period to provide steam for domestic hot water, steam driven laundry presses, air conditioning system reheat, food preparation and dishwashing demands of twenty-two buildings on the base.

  1. The Staphylococcus aureus proteome.

    PubMed

    Otto, Andreas; van Dijl, Jan Maarten; Hecker, Michael; Becher, Dörte

    2014-03-01

    Staphylococcus aureus is a Gram-positive commensal bacterium that is regarded as a major threat for modern health care systems. This relates both to the ability of S. aureus to overcome antibiotic therapy by developing high-level resistance against multiple antibiotics and this bacterium's extensive arsenal of virulence factors. Understanding the mechanisms of resistance and functional studies on stress and starvation responses are the main goals of proteomics in staphylococcal research. This review high-lights recent advances in gel-based and gel-free proteomics analyses of S. aureus and pinpoints the importance of location-specific proteomics studies targeting the cytosol, the membrane, the cell surface and the extracellular milieu in combination with integrated global proteome studies. Emerging hot topics in staphylococcal proteomics are discussed with special focus on in vivo proteomics, membrane vesicles, biofilm formation and the acquisition of absolute proteome data for systems biological modeling approaches. PMID:24439828

  2. Geodesic motion in equal angular momenta Myers-Perry-AdS spacetimes

    NASA Astrophysics Data System (ADS)

    Delsate, Térence; Rocha, Jorge V.; Santarelli, Raphael

    2015-10-01

    We study the geodesic motion of massive and massless test particles in the background of equally spinning Myers-Perry-anti-de Sitter (AdS) black holes in five dimensions. By adopting a coordinate system that makes manifest the cohomogeneity-1 property of these spacetimes, the equations of motion simplify considerably. This allows us to easily separate the radial motion from the angular part and to obtain solutions for angular trajectories in a compact closed form. For the radial motion, we focus our attention on spherical orbits. In particular, we determine the timelike innermost stable circular orbits (ISCOs) for these asymptotically AdS spacetimes, as well as the location of null circular orbits. We find that the ISCO dives below the ergosurface for black holes rotating close to extremality and merges with the event horizon exactly at extremality, in analogy with the four-dimensional Kerr case. For sufficiently massive black holes in AdS, there exists a spin parameter range in which the background spacetime is stable against super-radiance and the ISCO lies inside the ergoregion. Our results for massless geodesics show that there are no stable circular null orbits outside the horizon, but there exist such orbits inside the horizon, as well as around overextremal spacetimes, i.e., naked singularities. We also discuss how these orbits deform from the static to the rotating case.

  3. The association between Myers-Briggs Type Indicator and Psychiatry as the specialty choice

    PubMed Central

    Richard, George; Durkin, Martin

    2016-01-01

    Objectives The purpose of this pilot study is to examine the association between Myers-Briggs Type Indicator (MBTI) and prospective psychiatry residents. Methods Forty-six American medical schools were contacted and asked to participate in this study. Data were collected and an aggregated list was compiled that included the following information: date of MBTI administration, academic year, MBTI form/version, residency match information and student demographic information. The data includes 835 American medical students who completed the MBTI survey and matched into a residency training program in the United States. All analyses were performed using R 3.1.2. Results The probability of an introvert matching to a psychiatry residency is no different than that of an extravert (p= 0.30). The probability of an intuitive individual matching to a psychiatry residency is no different than that of a sensing type (p=0.20). The probability of a feeling type matching to a psychiatry residency is no different than that of a thinking type (p= 0.50). The probability of a perceiving type matching to a psychiatry residency is no different than that of a judging type (p= 0.60). Conclusions Further analyses may elicit more accurate information regarding the personality profile of prospective psychiatry residents. The improvement in communication, team dynamics, mentor-mentee relationships and reduction in workplace conflicts are possible with the awareness of MBTI personality profiles. PMID:26851600

  4. Synchrotron radiation in Lorentz-violating electrodynamics: The Myers-Pospelov model

    SciTech Connect

    Montemayor, R.; Urrutia, L.F.

    2005-08-15

    We develop a detailed analysis of synchrotron radiation in the effective Lorentz invariance violating (LIV) model of Myers-Pospelov, considering explicitly both the dynamics of the charge producing the radiation and the dynamics of the electromagnetic field itself. Within the radiation approximation we compute exact expressions in the LIV parameters for the electric and magnetic fields, the angular distribution of the power spectrum, the total emitted power in the mth harmonic and the polarization. We also perform expansions of the exact results in terms of the LIV parameters to identify the dominant effects and study the main features of the high energy limit of the spectrum. A very interesting consequence is the appearance of rather unexpected and large amplifying factors associated with the LIV effects, which go along with the usual contributions of the expansion parameter. This opens up the possibility of looking for astrophysical sources where these amplifying factors are important to further explore the constraints imposed upon the LIV parameters by synchrotron radiation measurements. We briefly sketch some phenomenological applications in the case of supernova remnants and gamma ray bursts.

  5. Role of Heavy Atom Tunneling in Myers-Saito Cyclization of Cyclic Enyne-Cumulene Systems.

    PubMed

    Karmakar, Sharmistha; Datta, Ayan

    2016-02-11

    Direct dynamics calculation using canonical variational transtition state theory (CVT) inclusive of small curvature tunneling (SCT) reveals heavy atom tunneling in Myers-Saito cyclization of 10- and 9-membered cyclic enyne-cumulene systems like 1,6-didehydro[10]annulene and derivative of neocarzinostatin, respectively. The pure density functional theory functional, BLYP at a 6-31+G (d,p) basis set reproduce the observed reaction energies and barriers within 1.0 kcal/mol. The calculated rate constants of cyclization inclusive of heavy atom tunneling (k(CVT+SCT) = 3.26 × 10(-4) s(-1) at 222 K; t1/2 = 35 min) are in excellent agreement with experiments (t1/2 ∼ 21-31 min). Both primary and secondary kinetic isotope effect (KIE) become enhanced significantly upon inclusion of quantum mechanical tunneling. An Arrhenius plot of KIE shows measurable curvature at the experimental temperature of 222 K. The translation vector for the cyclization reactions in the transition-states (TS) show significant motion of primary and secondary carbon atoms explaining the origin of large KIE. PMID:26785136

  6. Health-hazard evaluation report HETA 91-090-2175, Caisson Platoon, Ft Myer, Virginia

    SciTech Connect

    Echt, A.

    1992-01-01

    In response to a request from an industrial hygiene technician with the Walter Reed Army Medical Center, an investigation was made of possible hazardous working conditions at the Caisson Platoon (SIC-0752), Ft. Myer, Virginia. The Caisson Platoon had 34 horses used in ceremonies. Specific concern was expressed about exposure of soldiers to air contaminants while cleaning the stables, levelling the grain bin, and working in the tack room. Exposures experienced by blacksmiths in the execution of their duties were also monitored. The author concludes that soldiers dyeing leather in the tack room were exposed to methylene-chloride (75092) and 2-ethoxyethanol (110805) above the NIOSH recommended exposure limits. Soldiers cleaning the stables were not overexposed to nuisance dust or endotoxin. Soldiers involved in levelling grain in the grain bin were exposed to grain dust for a brief period of nearly 7 times the 8 hour recommended exposure limit of 4mg/cu m. The exposures in the tack room could be reduced through the substitution of less hazardous ingredients in leather dyes, lacquers, and spray paints or through the use of local exhaust ventilation. The grain dust exposure can be controlled through the use of engineering controls, such as a vibratory shaker applied to the outside of the bin thus eliminating the need to enter the grain bin to level the grain. Local exhaust ventilation should be provided for welding operations in the blacksmith shop.

  7. Myers-Perry black holes with scalar hair and a mass gap

    NASA Astrophysics Data System (ADS)

    Brihaye, Yves; Herdeiro, Carlos; Radu, Eugen

    2014-12-01

    We construct a family of asymptotically flat, rotating black holes with scalar hair and a regular horizon, within five dimensional Einstein's gravity minimally coupled to a complex, massive scalar field doublet. These solutions are supported by rotation and have no static limit. They are described by their mass M, two equal angular momenta J1 =J2 ≡ J and a conserved Noether charge Q, measuring the scalar hair. For vanishing horizon size the solutions reduce to five dimensional boson stars. In the limit of vanishing Noether charge density, the scalar field becomes point-wise arbitrarily small and the geometry becomes, locally, arbitrarily close to that of a specific set of Myers-Perry black holes (MPBHs); but there remains a global difference with respect to the latter, manifest in a finite mass gap. Thus, the scalar hair never becomes a linear perturbation of MPBHs. This is a qualitative difference when compared to Kerr black holes with scalar hair [1]. Whereas the existence of the latter can be anticipated in linear theory, from the existence of scalar bound states on the Kerr geometry (i.e. scalar clouds), the hair of these MPBHs is intrinsically non-linear.

  8. Advanced proteomic liquid chromatography

    SciTech Connect

    Xie, Fang; Smith, Richard D.; Shen, Yufeng

    2012-10-26

    Liquid chromatography coupled with mass spectrometry is the predominant platform used to analyze proteomics samples consisting of large numbers of proteins and their proteolytic products (e.g., truncated polypeptides) and spanning a wide range of relative concentrations. This review provides an overview of advanced capillary liquid chromatography techniques and methodologies that greatly improve separation resolving power and proteomics analysis coverage, sensitivity, and throughput.

  9. Intravenous Micronutrient Therapy (Myers' Cocktail) for Fibromyalgia: A Placebo-Controlled Pilot Study

    PubMed Central

    Ali, Ather; Njike, Valentine Yanchou; Northrup, Veronika; Sabina, Alyse B.; Williams, Anna-Leila; Liberti, Lauren S.; Perlman, Adam I.; Adelson, Harry

    2009-01-01

    Abstract Objectives Intravenous micronutrient therapy (IVMT), and specifically the Myers' Cocktail, is a popular approach for treating fibromyalgia syndrome (FMS) among complementary and alternative medicine practitioners, but its efficacy is uncertain. This trial assessed the feasibility, safety, and provided insights into the efficacy of this therapy. Design This was a randomized, double-blind, placebo-controlled pilot study. Locations The study locations were an academic research center, teaching hospital, and affiliated Integrative Medicine Center in Derby, CT. Subjects The subjects were 34 adults with American College of Rheumatology (ACR)-defined FMS. Intervention Subjects were randomly assigned either to treatment (weekly infusions of IVMT) or to placebo (weekly infusions of lactated Ringer's solution) for 8 weeks. Outcome measures Primary outcome was change in the Tender Point Index, assessed 8 and 12 weeks after initiation. Secondary measures included a Visual Analog Scale to assess global pain, and validated measures of physical function (Fibromyalgia Impact Questionnaire), mood (Beck Depression Index), and quality of life (Health Status Questionnaire 2.0). Results Clinically significant improvements were noted (of a magnitude similar to other effective interventions). However, in part because of the high placebo response and the small sample size, no statistically significant differences were seen between groups, in any outcome measure, at 8 and 16 weeks. Statistically significant within-group differences were seen in both the intervention and placebo groups, demonstrating a treatment effect for both IVMT and placebo. At 8 weeks, the IVMT group experienced significantly improved tender points, pain, depression, and quality of life directly following treatment (all p ≤ 0.02), while the placebo group experienced significantly improved tender points only (p ≤ 0.05). The treatment effects of IVMT persisted at 4 weeks postintervention for tender

  10. Reinterpreting the Myers-Briggs Type Indicator from the perspective of the five-factor model of personality.

    PubMed

    McCrae, R R; Costa, P T

    1989-03-01

    The Myers-Briggs Type Indicator (MBTI; Myers & McCaulley, 1985) was evaluated from the perspectives of Jung's theory of psychological types and the five-factor model of personality as measured by self-reports and peer ratings on the NEO Personality Inventory (NEO-PI; Costa & McCrae, 1985b). Data were provided by 267 men and 201 women ages 19 to 93. Consistent with earlier research and evaluations, there was no support for the view that the MBTI measures truly dichotomous preferences or qualitatively distinct types; instead, the instrument measures four relatively independent dimensions. The interpretation of the Judging-Perceiving index was also called into question. The data suggest that Jung's theory is either incorrect or inadequately operationalized by the MBTI and cannot provide a sound basis for interpreting it. However, correlational analyses showed that the four MBTI indices did measure aspects of four of the five major dimensions of normal personality. The five-factor model provides an alternative basis for interpreting MBTI findings within a broader, more commonly shared conceptual framework. PMID:2709300

  11. Proteomics for systems toxicology

    PubMed Central

    Titz, Bjoern; Elamin, Ashraf; Martin, Florian; Schneider, Thomas; Dijon, Sophie; Ivanov, Nikolai V.; Hoeng, Julia; Peitsch, Manuel C.

    2014-01-01

    Current toxicology studies frequently lack measurements at molecular resolution to enable a more mechanism-based and predictive toxicological assessment. Recently, a systems toxicology assessment framework has been proposed, which combines conventional toxicological assessment strategies with system-wide measurement methods and computational analysis approaches from the field of systems biology. Proteomic measurements are an integral component of this integrative strategy because protein alterations closely mirror biological effects, such as biological stress responses or global tissue alterations. Here, we provide an overview of the technical foundations and highlight select applications of proteomics for systems toxicology studies. With a focus on mass spectrometry-based proteomics, we summarize the experimental methods for quantitative proteomics and describe the computational approaches used to derive biological/mechanistic insights from these datasets. To illustrate how proteomics has been successfully employed to address mechanistic questions in toxicology, we summarized several case studies. Overall, we provide the technical and conceptual foundation for the integration of proteomic measurements in a more comprehensive systems toxicology assessment framework. We conclude that, owing to the critical importance of protein-level measurements and recent technological advances, proteomics will be an integral part of integrative systems toxicology approaches in the future. PMID:25379146

  12. Commentary: Prospective trajectory research in adolescent suicidal behaviour - a possible basis for the development of empirically based interventions? A reflection on Adrian et al. (2016).

    PubMed

    Apter, Alan

    2016-05-01

    Suicidal behaviour in adolescence is a heterogeneous set of behaviours comprising a variety of behaviours ranging from suicidal ideation, suicidal threats, suicidal gestures, nonsuicidal self-injurious behaviour through medically nonserious to medically serious suicide attempts. Probably the most productive approach to this problem is a developmental one, taking one key concept and tracking it prospectively over the course of time through the developmental stages of adolescence. A natural starting point for such a study is that of suicidal ideation (SI). Thus, the article published in JCPP (Adrian et al. 2015) represents a major contribution to the field. The authors used the data from an important adolescent development study, the Developmental Pathways Project (DPP) to look at this problem. This editorial looks at this article in the context of other major studies in the field. The notion of discerning trajectories and following them up prospectively is a potentially major contribution to paediatric suicide research. Although obviously challenging, linking these trajectories to interventions and to suicide registers could lead to major breakthroughs in adolescent suicide prevention. PMID:27090382

  13. Proteomic Findings in Melanoma

    PubMed Central

    Sengupta, Deepanwita; Tackett, Alan J

    2016-01-01

    Although the emergence of proteomics as an independent branch of science is fairly recent, within a short period of time it has contributed substantially in various disciplines. The tool of mass spectrometry has become indispensable in the analysis of complex biological samples. Clinical applications of proteomics include detection of predictive and diagnostic markers, understanding mechanism of action of drugs as well as resistance mechanisms against them and assessment of therapeutic efficacy and toxicity of drugs in patients. Here, we have summarized the major contributions of proteomics towards the study of melanoma, which is a deadly variety of skin cancer with a high mortality rate. PMID:27274624

  14. A proteomic glimpse into human ureter proteome

    PubMed Central

    Hirao, Yoshitoshi; Elguoshy, Amr; Xu, Bo; Zhang, Ying; Fujinaka, Hidehiko; Yamamoto, Keiko; Yates, John R.; Yamamoto, Tadashi

    2015-01-01

    Urine has evolved as one of the most important biofluids in clinical proteomics due to its noninvasive sampling and its stability. Yet, it is used in clinical diagnostics of several disorders by detecting changes in its components including urinary protein/polypeptide profile. Despite the fact that majority of proteins detected in urine are primarily originated from the urogenital (UG) tract, determining its precise source within the UG tract remains elusive. In this article, we performed a comprehensive analysis of ureter proteome to assemble the first unbiased ureter dataset. Next, we compared these data to urine, urinary exosome, and kidney mass spectrometric datasets. Our result concluded that among 2217 nonredundant ureter proteins, 751 protein candidates (33.8%) were detected in urine as urinary protein/polypeptide or exosomal protein. On the other hand, comparing ureter protein hits (48) that are not shown in corresponding databases to urinary bladder and prostate human protein atlas databases pinpointed 21 proteins that might be unique to ureter tissue. In conclusion, this finding offers future perspectives for possible identification of ureter disease‐associated biomarkers such as ureter carcinoma. In addition, the ureter proteomic dataset published in this article will provide a valuable resource for researchers working in the field of urology and urine biomarker discovery. All MS data have been deposited in the ProteomeXchange with identifier PXD002620 (http://proteomecentral.proteomexchange.org/dataset/PXD002620). PMID:26442468

  15. The Relationship between Personality Type and Software Usability Using the Myers-Briggs Type Indicator (MBTI) and the Software Usability Measurement Inventory (SUMI)

    ERIC Educational Resources Information Center

    Lindsey, William H.

    2011-01-01

    The study attempted to determine if there is a relationship between user's psychological personality types, measured by the Myers Briggs Type Indicator[R] (MBTI[R]) and distinct measures of usability measured by the Software Usability Measurement Inventory (SUMI). The study was expected to provide an answer to the following basic research…

  16. Teaching Teams To Be Teams: An Exercise Using the Myers-Briggs Type Indicator and the Five-Factor Personality Traits.

    ERIC Educational Resources Information Center

    Clinebell, Sharon; Stecher, Mary

    2003-01-01

    Management students formed teams after completing exercises based on the Myers-Briggs Type Indicator and the Five-Factor Model of Personality. Team members examined how types and traits might affect performance. Most students indicated that understanding personality increased awareness of behavior. Teams that used extreme division of labor were…

  17. Analyzing the Relationship of Strengths to Personality Preferences and Vocational Interests Utilizing Clifton StrengthsFinder, Myers-Briggs Type Indicator, and Strong Interest Inventory

    ERIC Educational Resources Information Center

    Schenck, Paulette M.

    2009-01-01

    Throughout the history of vocational psychology, career counselors have constantly searched for, devised, and implemented practices and techniques to best prepare clients for the world of work. The purpose of this study was to explore the relationship between strengths to personality preference and vocational interests utilizing the Myers-Briggs…

  18. Proteome Characterization Centers - TCGA

    Cancer.gov

    The centers, a component of NCI’s Clinical Proteomic Tumor Analysis Consortium, will analyze a subset of TCGA samples to define proteins translated from cancer genomes and their related biological processes.

  19. Proteomics Research in Schizophrenia

    PubMed Central

    Davalieva, Katarina; Maleva Kostovska, Ivana; Dwork, Andrew J.

    2016-01-01

    Despite intense scientific efforts, the neuropathology and pathophysiology of schizophrenia are poorly understood. Proteomic studies, by testing large numbers of proteins for associations with disease, may contribute to the understanding of the molecular mechanisms of schizophrenia. They may also indicate the types and locations of cells most likely to harbor pathological alterations. Investigations using proteomic approaches have already provided much information on quantitative and qualitative protein patterns in postmortem brain tissue, peripheral tissues and body fluids. Different proteomic technologies such as 2-D PAGE, 2-D DIGE, SELDI-TOF, shotgun proteomics with label-based (ICAT), and label-free (MSE) quantification have been applied to the study of schizophrenia for the past 15 years. This review summarizes the results, mostly from brain but also from other tissues and bodily fluids, of proteomics studies in schizophrenia. Emphasis is given to proteomics platforms, varying sources of material, proposed candidate biomarkers emerging from comparative proteomics studies, and the specificity of the putative markers in terms of other mental illnesses. We also compare proteins altered in schizophrenia with reports of protein or mRNA sequences that are relatively enriched in specific cell types. While proteomic studies of schizophrenia find abnormalities in the expression of many proteins that are not cell type-specific, there appears to be a disproportionate representation of proteins whose synthesis and localization are highly enriched in one or more brain cell type compared with other types of brain cells. Two of the three proteins most commonly altered in schizophrenia are aldolase C and glial fibrillary acidic protein, astrocytic proteins with entirely different functions, but the studies are approximately evenly divided with regard to the direction of the differences and the concordance or discordance between the two proteins. Alterations of common myelin

  20. Proteomics Research in Schizophrenia.

    PubMed

    Davalieva, Katarina; Maleva Kostovska, Ivana; Dwork, Andrew J

    2016-01-01

    Despite intense scientific efforts, the neuropathology and pathophysiology of schizophrenia are poorly understood. Proteomic studies, by testing large numbers of proteins for associations with disease, may contribute to the understanding of the molecular mechanisms of schizophrenia. They may also indicate the types and locations of cells most likely to harbor pathological alterations. Investigations using proteomic approaches have already provided much information on quantitative and qualitative protein patterns in postmortem brain tissue, peripheral tissues and body fluids. Different proteomic technologies such as 2-D PAGE, 2-D DIGE, SELDI-TOF, shotgun proteomics with label-based (ICAT), and label-free (MS(E)) quantification have been applied to the study of schizophrenia for the past 15 years. This review summarizes the results, mostly from brain but also from other tissues and bodily fluids, of proteomics studies in schizophrenia. Emphasis is given to proteomics platforms, varying sources of material, proposed candidate biomarkers emerging from comparative proteomics studies, and the specificity of the putative markers in terms of other mental illnesses. We also compare proteins altered in schizophrenia with reports of protein or mRNA sequences that are relatively enriched in specific cell types. While proteomic studies of schizophrenia find abnormalities in the expression of many proteins that are not cell type-specific, there appears to be a disproportionate representation of proteins whose synthesis and localization are highly enriched in one or more brain cell type compared with other types of brain cells. Two of the three proteins most commonly altered in schizophrenia are aldolase C and glial fibrillary acidic protein, astrocytic proteins with entirely different functions, but the studies are approximately evenly divided with regard to the direction of the differences and the concordance or discordance between the two proteins. Alterations of common myelin

  1. Nanoscaled Proteomic Analysis

    NASA Astrophysics Data System (ADS)

    Xu, Yan; Jia, Lee

    2013-09-01

    Global proteomics research is currently hampered by the extremely complexity of the proteome and the absence of techniques like the polymerase chain reaction in genomics which enables multiplication of a single protein molecule. Since all the existing analytical technologies cannot overcome the detection limit and the dynamic concentration barrier, development of improved analytical technologies at nanoscale, ideally those that could recognize single protein molecule in the presence of high abundant of others, is a high priority for proteomics. In this chapter, we will show the state-of-the-art of nanoproteomics, i.e., the application of nanotechnologies to proteomics. Various nanomaterials including carbon nanomaterials, magnetic nanoparticles, silica nanoparticles, polymer and copolymer nanoparticles, metal and metal oxide nanoparticles have been used to improve sensitivity, specificity, and repeatability of proteomic analysis especially when the multidimensional separation system coupled with MALDI-TOF-MS is used. Among them, gold nanoparticles (GNPs) and carbon nanotubes (CNTs) are the two most important nanomaterials: while GNPs are frequently utilized for enzyme immobilization, high throughput bioassay, selection of target-peptides and target-protein, CNTs including single-walled carbon nanotubes (SWCNTs) and mutiple-walled carbon nanotubes (MWCNTs) have wide applications to electronic sensor, sensitive immunodetection, nanobiocatalysis, affinity probes, MALDI matrices, protein digestion, peptides enrichment and analysis. In perspectives, a deep understanding of the structures and property of nanomaterials and interdisciplinary applications of nanotechnology to proteomics will certainly be revolutionary and intellectually rewarding.

  2. Throwing Away the Key: The Ethics of Risk Assessment for Preventive Detention Schemes: R.G. Myers Memorial Lecture 2013.

    PubMed

    McSherry, B

    2014-09-01

    Preventive detention schemes that aim to protect the community from certain 'dangerous' individuals have long existed. While risk assessment is now pervasive in the management and treatment of many individuals, it raises particular issues when a person's liberty is at stake on the basis of what that person might do. This R.G. Myers Memorial Lecture addresses the ethical issues raised by mental health practitioners providing risk assessments for legislative schemes that involve the deprivation of liberty. It will focus in particular on Australian post-sentence preventive detention schemes for sex offenders that have been held by the United Nations Human Rights Committee to breach fundamental human rights. However, the ethical issues discussed also have repercussions for civil commitment laws that enable the detention of those with severe mental or intellectual impairments. PMID:25431531

  3. Collaborations in Proteomics Research - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    The National Cancer Institute (NCI), through the Office of Cancer Clinical Proteomics Research (OCCPR), has signed two Memorandums of Understanding (MOUs) in the sharing of proteomics reagents and protocols

  4. Proteomics analysis of human oligodendroglioma proteome.

    PubMed

    Khaghani-Razi-Abad, Solmaz; Hashemi, Mehrdad; Pooladi, Mehdi; Entezari, Maliheh; Kazemi, Elham

    2015-09-10

    Proteomics analyses enable the identification and quantitation of proteins. From a purely clinical perspective, the application of proteomics based on innovations, may greatly affect the future management of malignant brain tumors. This optimism is based on four main reasons: diagnosis, prognosis, selection of targeted therapy based on molecular profile of the brain tumor and monitoring therapeutic response, or resistance. We extracted the proteins of tumor and normal brain tissues, and then evaluated the protein purity by Bradford test. In this study, we separated the proteins by two-dimensional (2DG) gel electrophoresis methods. Then spots were analyzed, compared using statistical data and specific software and were identified by pH isoelectric, molecular weights and data banks. The protein profiles were determined using 2D gel electrophoresis and MALDI TOF/TOF mass spectrometry approaches. Simple statistical tests were used to establish a putative hierarchy in which the change in protein level was ranked according to a cut-off point with p<0.05. The 2D gel showed a total of 1328 spots among which 157 spots were under-expressed and 276 spots were overexpressed. Most proteins are subjects to post-translational modifications, where amino acid residues may be chemically modified or conjugated by small proteins like ubiquitin. Proteomics is a powerful way to identifying multiple proteins which are altered following a neuropharmacological intervention in a CNS disease. PMID:26002447

  5. Proteomics of Foodborne Bacterial Pathogens

    NASA Astrophysics Data System (ADS)

    Fagerquist, Clifton K.

    This chapter is intended to be a relatively brief overview of proteomic techniques currently in use for the identification and analysis of microorganisms with a special emphasis on foodborne pathogens. The chapter is organized as follows. First, proteomic techniques are introduced and discussed. Second, proteomic applications are presented specifically as they relate to the identification and qualitative/quantitative analysis of foodborne pathogens.

  6. Proteomic Assessment of Poultry Spermatozoa

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Fully characterizing the protein composition of spermatozoa is the first step in utilizing proteomics to delineate the function of sperm proteins. To date, sperm proteome maps have been partially developed for the human, mouse, rat, bull and several invertebrates. Here we report the first proteomic...

  7. Mining Proteomes Using Bioorthogonal Probes.

    PubMed

    Wu, Haoxing; Devaraj, Neal K

    2016-07-21

    The definition of proteomes in cells and animals at particular stages facilitates an understanding of protein function. In this issue of Cell Chemical Biology, Elliott et al. (2016) report an elegant approach of bioorthogonal labeling and enrichment of proteomes from stochastic orthogonal recoding of translation. With this method, low abundance proteomes can be identified in a multicellular system. PMID:27447043

  8. The Cysteine Proteome

    PubMed Central

    Go, Young-Mi; Chandler, Joshua D.; Jones, Dean P.

    2015-01-01

    The cysteine (Cys) proteome is a major component of the adaptive interface between the genome and the exposome. The thiol moiety of Cys undergoes a range of biologic modifications enabling biological switching of structure and reactivity. These biological modifications include sulfenylation and disulfide formation, formation of higher oxidation states, S-nitrosylation, persulfidation, metallation, and other modifications. Extensive knowledge about these systems and their compartmentalization now provides a foundation to develop advanced integrative models of Cys proteome regulation. In particular, detailed understanding of redox signaling pathways and sensing networks is becoming available to discriminate network structures. This research focuses attention on the need for atlases of Cys modifications to develop systems biology models. Such atlases will be especially useful for integrative studies linking the Cys proteome to imaging and other omics platforms, providing a basis for improved redox-based therapeutics. Thus, a framework is emerging to place the Cys proteome as a complement to the quantitative proteome in the omics continuum connecting the genome to the exposome. PMID:25843657

  9. High-Throughput Proteomics

    NASA Astrophysics Data System (ADS)

    Zhang, Zhaorui; Wu, Si; Stenoien, David L.; Paša-Tolić, Ljiljana

    2014-06-01

    Mass spectrometry (MS)-based high-throughput proteomics is the core technique for large-scale protein characterization. Due to the extreme complexity of proteomes, sophisticated separation techniques and advanced MS instrumentation have been developed to extend coverage and enhance dynamic range and sensitivity. In this review, we discuss the separation and prefractionation techniques applied for large-scale analysis in both bottom-up (i.e., peptide-level) and top-down (i.e., protein-level) proteomics. Different approaches for quantifying peptides or intact proteins, including label-free and stable-isotope-labeling strategies, are also discussed. In addition, we present a brief overview of different types of mass analyzers and fragmentation techniques as well as selected emerging techniques.

  10. Establishing Substantial Equivalence: Proteomics

    NASA Astrophysics Data System (ADS)

    Lovegrove, Alison; Salt, Louise; Shewry, Peter R.

    Wheat is a major crop in world agriculture and is consumed after processing into a range of food products. It is therefore of great importance to determine the consequences (intended and unintended) of transgenesis in wheat and whether genetically modified lines are substantially equivalent to those produced by conventional plant breeding. Proteomic analysis is one of several approaches which can be used to address these questions. Two-dimensional PAGE (2D PAGE) remains the most widely available method for proteomic analysis, but is notoriously difficult to reproduce between laboratories. We therefore describe methods which have been developed as standard operating procedures in our laboratory to ensure the reproducibility of proteomic analyses of wheat using 2D PAGE analysis of grain proteins.

  11. Pressurized Pepsin Digestion in Proteomics

    PubMed Central

    López-Ferrer, Daniel; Petritis, Konstantinos; Robinson, Errol W.; Hixson, Kim K.; Tian, Zhixin; Lee, Jung Hwa; Lee, Sang-Won; Tolić, Nikola; Weitz, Karl K.; Belov, Mikhail E.; Smith, Richard D.; Paša-Tolić, Ljiljana

    2011-01-01

    Integrated top-down bottom-up proteomics combined with on-line digestion has great potential to improve the characterization of protein isoforms in biological systems and is amendable to high throughput proteomics experiments. Bottom-up proteomics ultimately provides the peptide sequences derived from the tandem MS analyses of peptides after the proteome has been digested. Top-down proteomics conversely entails the MS analyses of intact proteins for more effective characterization of genetic variations and/or post-translational modifications. Herein, we describe recent efforts toward efficient integration of bottom-up and top-down LC-MS-based proteomics strategies. Since most proteomics separations utilize acidic conditions, we exploited the compatibility of pepsin (where the optimal digestion conditions are at low pH) for integration into bottom-up and top-down proteomics work flows. Pressure-enhanced pepsin digestions were successfully performed and characterized with several standard proteins in either an off-line mode using a Barocycler or an on-line mode using a modified high pressure LC system referred to as a fast on-line digestion system (FOLDS). FOLDS was tested using pepsin and a whole microbial proteome, and the results were compared against traditional trypsin digestions on the same platform. Additionally, FOLDS was integrated with a RePlay configuration to demonstrate an ultrarapid integrated bottom-up top-down proteomics strategy using a standard mixture of proteins and a monkey pox virus proteome. PMID:20627868

  12. Supporting open access to clinical trial data for researchers: The Duke Clinical Research Institute-Bristol-Myers Squibb Supporting Open Access to Researchers Initiative.

    PubMed

    Pencina, Michael J; Louzao, Darcy M; McCourt, Brian J; Adams, Monique R; Tayyabkhan, Rehbar H; Ronco, Peter; Peterson, Eric D

    2016-02-01

    There are growing calls for sponsors to increase transparency by providing access to clinical trial data. In response, Bristol-Myers Squibb and the Duke Clinical Research Institute have collaborated on a new initiative, Supporting Open Access to Researchers. The aim is to facilitate open sharing of Bristol-Myers Squibb trial data with interested researchers. Key features of the Supporting Open Access to Researchers data sharing model include an independent review committee that ensures expert consideration of each proposal, stringent data deidentification/anonymization and protection of patient privacy, requirement of prespecified statistical analysis plans, and independent review of manuscripts before submission for publication. We believe that these approaches will promote open science by allowing investigators to verify trial results as well as to pursue interesting secondary uses of trial data without compromising scientific integrity. PMID:26856217

  13. The Role of the Myers-Briggs Personality Type and Emotional Intelligence in Marital Satisfaction among Married Female Students at Tehran University.

    PubMed

    Shirzad, Galin

    2016-01-01

    The present descriptive correlational study was conducted to predict the role of emotional intelligence and the Myers-Briggs personality type in marital satisfaction in married female students Tehran University in 2015. The study population consisted of all the married female students at Tehran University who visited Iran MBTI center between 22.04.2015 and 21.06.2015. A total of 140 students were selected as the study samples. Data were collected using the Myer-Briggs Type Indicator, the Bar-On Emotional Intelligence Questionnaire and the Enrich Marital Satisfaction Scale and were then analyzed in SPSS-20 using the multivariate regression analysis. The results obtained showed that emotional intelligence (interpersonal and intra-personal skills) and personality type (extraverted and structured) can predict marital satisfaction. PMID:27302443

  14. “Seed Proteomics"

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Proteomic analysis of seeds encounters some specific problems that do not impinge on analyses of other plant cells, tissues, or organs. There are anatomic considerations. Seeds comprise the seed coat, the storage organ(s), and the embryonic axis. Are these to be studied individually or as a compo...

  15. Developing the wool proteome.

    PubMed

    Clerens, Stefan; Cornellison, Charisa D; Deb-Choudhury, Santanu; Thomas, Ancy; Plowman, Jeffrey E; Dyer, Jolon M

    2010-08-01

    The wool proteome has been largely uncharted due to a lack of database coverage, poor protein extractability and dynamic range issues. Yet, investigating correlations between wool physical properties and protein content, or characterising UV-, heat- or processing-induced protein damage requires the availability of an identifiable and identified proteome. In this study we have achieved unprecedented wool proteome identification through a strategy of comprehensive data acquisition, iterative protein identification/validation and concurrent augmentation of the sequence database. Data acquisition comprised a range of different hyphenated MS techniques including LC-MS/MS, LC-MALDI, 2D-LC-MS/MS and SDS-PAGE LC-MS. Using iterative searching of databases and search result combination using ProteinScape, a systematic expansion of identifiable proteins in the sequence database was achieved. This was followed by extensive validation and rationalisation of the protein identifications. In total, 72 complete and 30 partial ovine-specific protein sequences were added to the database, and 113 wool proteins were identified. Enhanced access to ovine-specific protein identification and characterisation will facilitate all wool fibre protein chemistry and proteomics research. PMID:20478423

  16. A Sydney proteome story.

    PubMed

    Williams, Keith L; Gooley, Andrew A; Wilkins, Marc R; Packer, Nicolle H

    2014-07-31

    This is the story of the experience of a multidisciplinary group at Macquarie University in Sydney as we participated in, and impacted upon, major currents that washed through protein science as the field of Proteomics emerged. The large scale analysis of proteins became possible. This is not a history of the field. Instead we have tried to encapsulate the stimulating personal ride we had transiting from conventional academe, to a Major National Research Facility, to the formation of Proteomics company Proteome Systems Ltd. There were lots of blind alleys, wrong directions, but we also got some things right and our efforts, along with those of many other groups around the world, did change the face of protein science. While the transformation is by no means yet complete, protein science is very different from the field in the 1990s. This article is part of a Special Issue entitled: 20years of Proteomics in memory of Viatliano Pallini. Guest Editors: Luca Bini, Juan J. Calvete, Natacha Turck, Denis Hochstrasser and Jean-Charles Sanchez. PMID:24735915

  17. Arabidopsis peroxisome proteomics

    PubMed Central

    Bussell, John D.; Behrens, Christof; Ecke, Wiebke; Eubel, Holger

    2013-01-01

    The analytical depth of investigation of the peroxisomal proteome of the model plant Arabidopsis thaliana has not yet reached that of other major cellular organelles such as chloroplasts or mitochondria. This is primarily due to the difficulties associated with isolating and obtaining purified samples of peroxisomes from Arabidopsis. So far only a handful of research groups have been successful in obtaining such fractions. To make things worse, enriched peroxisome fractions frequently suffer from significant organellar contamination, lowering confidence in localization assignment of the identified proteins. As with other cellular compartments, identification of peroxisomal proteins forms the basis for investigations of the dynamics of the peroxisomal proteome. It is therefore not surprising that, in terms of functional analyses by proteomic means, peroxisomes are lagging considerably behind chloroplasts or mitochondria. Alternative strategies are needed to overcome the obstacle of hard-to-obtain organellar fractions. This will help to close the knowledge gap between peroxisomes and other organelles and provide a full picture of the physiological pathways shared between organelles. In this review, we briefly summarize the status quo and discuss some of the methodological alternatives to classic organelle proteomic approaches. PMID:23630535

  18. Genomes to Proteomes

    SciTech Connect

    Panisko, Ellen A.; Grigoriev, Igor; Daly, Don S.; Webb-Robertson, Bobbie-Jo; Baker, Scott E.

    2009-03-01

    Biologists are awash with genomic sequence data. In large part, this is due to the rapid acceleration in the generation of DNA sequence that occurred as public and private research institutes raced to sequence the human genome. In parallel with the large human genome effort, mostly smaller genomes of other important model organisms were sequenced. Projects following on these initial efforts have made use of technological advances and the DNA sequencing infrastructure that was built for the human and other organism genome projects. As a result, the genome sequences of many organisms are available in high quality draft form. While in many ways this is good news, there are limitations to the biological insights that can be gleaned from DNA sequences alone; genome sequences offer only a bird's eye view of the biological processes endemic to an organism or community. Fortunately, the genome sequences now being produced at such a high rate can serve as the foundation for other global experimental platforms such as proteomics. Proteomic methods offer a snapshot of the proteins present at a point in time for a given biological sample. Current global proteomics methods combine enzymatic digestion, separations, mass spectrometry and database searching for peptide identification. One key aspect of proteomics is the prediction of peptide sequences from mass spectrometry data. Global proteomic analysis uses computational matching of experimental mass spectra with predicted spectra based on databases of gene models that are often generated computationally. Thus, the quality of gene models predicted from a genome sequence is crucial in the generation of high quality peptide identifications. Once peptides are identified they can be assigned to their parent protein. Proteins identified as expressed in a given experiment are most useful when compared to other expressed proteins in a larger biological context or biochemical pathway. In this chapter we will discuss the automatic

  19. Quantization of the Myers-Pospelov model: The photon sector interacting with standard fermions as a perturbation of QED

    SciTech Connect

    Reyes, C. M.; Urrutia, L. F.; Vergara, J. D.

    2008-12-15

    We study the quantization of the electromagnetic sector of the Myers-Pospelov model coupled to standard fermions. Our main objective, based upon experimental and observational evidence, is to construct an effective theory which is a genuine perturbation of QED, such that setting the Lorentz invariance violation parameters to zero will reproduce it. To this end we provide a physically motivated prescription, based on the effective character of the model, regarding the way in which the model should be constructed and how the QED limit should be approached. This amounts to the introduction of an additional coarse-graining physical energy scale M, under which we can trust the effective field theory formulation. The prescription is successfully tested in the calculation of the Lorentz invariance violating contributions arising from the electron self-energy. Such radiative corrections turn out to be properly scaled by very small factors for any reasonable values of the parameters and no fine-tuning problems are found. Microcausality violations are highly suppressed and occur only in a spacelike region extremely close to the light cone. The stability of the model is guaranteed by restricting to concordant frames satisfying 1-|v{sub max}|>6.5x10{sup -11}.

  20. Superfund Record of Decision (EPA Region 2): Myers Property, Franklin Township, NJ. (First remedial action), September 1990

    SciTech Connect

    Not Available

    1990-09-28

    The 7-acre Myers Property site is a former pesticide and industrial chemical manufacturing facility in Franklin Township, Hunterdon County, New Jersey. The site lies adjacent to, and in the 100-year floodplain of the Cakepoulin Creek which flows to the north of the site. The site is comprised of adjourning private lands, two acres of wetlands, and five acres of residential property with onsite residents. In 1978, State investigations identified 20 unlabeled drums of chemicals containing metals, DDT, other organic chemicals in a shed, and 24 cubic yards of asbestos material in an onsite warehouse. In addition, surface soil and debris were found to be contaminated with high levels of DDT, other organics, and metals. The Record of Decision (ROD) addresses the first of two operable units, and includes remediation of the soil, sediment, buildings, and shallow ground water aquifer. The ROD also addresses interim remedial activities for the second operable unit, the ground water in the bedrock aquifer, which will be fully addressed in a future ROD. The primary contaminants of concern affecting the soil, sediment, debris, and ground water are VOCs including benzene; other organics including PCBs, PAHs, dioxin, and pesticides such as DDT; and metals including arsenic, and lead.

  1. Proteome Analyses of Hepatocellular Carcinoma

    PubMed Central

    Megger, Dominik A.; Naboulsi, Wael; Meyer, Helmut E.; Sitek, Barbara

    2014-01-01

    Proteomics has evolved into a powerful and widely used bioanalytical technique in the study of cancer, especially hepatocellular carcinoma (HCC). In this review, we provide an up to date overview of feasible proteome-analytical techniques for clinical questions. In addition, we present a broad summary of proteomic studies of HCC utilizing various technical approaches for the analysis of samples derived from diverse sources like HCC cell lines, animal models, human tissue and body fluids. PMID:26357614

  2. Proteomics in bone research.

    PubMed

    Zhang, Hengwei; Recker, Robert; Lee, Wai-Nang Paul; Xiao, Gary Guishan

    2010-02-01

    Osteoporosis is prevalent among the elderly and is a major cause of bone fracture in this population. Bone integrity is maintained by the dynamic processes of bone resorption and bone formation (bone remodeling). Osteoporosis results when there is an imbalance of the two counteracting processes. Bone mineral density, measured by dual-energy x-ray absorptiometry has been the primary method to assess fracture risk for decades. Recent studies demonstrated that measurement of bone turnover markers allows for a dynamic assessment of bone remodeling, while imaging techniques, such as dual-energy x-ray absorptiometry, do not. The application of proteomics has permitted discoveries of new, sensitive, bone turnover markers, which provide unique information for clinical diagnosis and treatment of patients with bone diseases. This review summarizes the recent findings of proteomic studies on bone diseases, properties of mesenchymal stem cells with high expansion rates and osteoblast and osteoclast differentiation, with emphasis on the role of quantitative proteomics in the study of signaling dynamics, biomarkers and discovery of therapeutic targets. PMID:20121480

  3. The proteome of schizophrenia

    PubMed Central

    Nascimento, Juliana M; Martins-de-Souza, Daniel

    2015-01-01

    On observing schizophrenia from a clinical point of view up to its molecular basis, one may conclude that this is likely to be one of the most complex human disorders to be characterized in all aspects. Such complexity is the reflex of an intricate combination of genetic and environmental components that influence brain functions since pre-natal neurodevelopment, passing by brain maturation, up to the onset of disease and disease establishment. The perfect function of tissues, organs, systems, and finally the organism depends heavily on the proper functioning of cells. Several lines of evidence, including genetics, genomics, transcriptomics, neuropathology, and pharmacology, have supported the idea that dysfunctional cells are causative to schizophrenia. Together with the above-mentioned techniques, proteomics have been contributing to understanding the biochemical basis of schizophrenia at the cellular and tissue level through the identification of differentially expressed proteins and consequently their biochemical pathways, mostly in the brain tissue but also in other cells. In addition, mass spectrometry-based proteomics have identified and precisely quantified proteins that may serve as biomarker candidates to prognosis, diagnosis, and medication monitoring in peripheral tissue. Here, we review all data produced by proteomic investigation in the last 5 years using tissue and/or cells from schizophrenic patients, focusing on postmortem brain tissue and peripheral blood serum and plasma. This information has provided integrated pictures of the biochemical systems involved in the pathobiology, and has suggested potential biomarkers, and warrant potential targets to alternative treatment therapies to schizophrenia. PMID:27336025

  4. Proteomics. Tissue-based map of the human proteome.

    PubMed

    Uhlén, Mathias; Fagerberg, Linn; Hallström, Björn M; Lindskog, Cecilia; Oksvold, Per; Mardinoglu, Adil; Sivertsson, Åsa; Kampf, Caroline; Sjöstedt, Evelina; Asplund, Anna; Olsson, IngMarie; Edlund, Karolina; Lundberg, Emma; Navani, Sanjay; Szigyarto, Cristina Al-Khalili; Odeberg, Jacob; Djureinovic, Dijana; Takanen, Jenny Ottosson; Hober, Sophia; Alm, Tove; Edqvist, Per-Henrik; Berling, Holger; Tegel, Hanna; Mulder, Jan; Rockberg, Johan; Nilsson, Peter; Schwenk, Jochen M; Hamsten, Marica; von Feilitzen, Kalle; Forsberg, Mattias; Persson, Lukas; Johansson, Fredric; Zwahlen, Martin; von Heijne, Gunnar; Nielsen, Jens; Pontén, Fredrik

    2015-01-23

    Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray-based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body. PMID:25613900

  5. Proteomic analysis of Caenorhabditis elegans

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Proteomic studies of the free-living nematode Caenorhabditis elegans have recently received great attention because this animal is a useful model platform for the in vivo study of various biological problems relevant to human disease. In general, proteomic analysis is performed in order to address a...

  6. Molecular Biologist's Guide to Proteomics

    PubMed Central

    Graves, Paul R.; Haystead, Timothy A. J.

    2002-01-01

    The emergence of proteomics, the large-scale analysis of proteins, has been inspired by the realization that the final product of a gene is inherently more complex and closer to function than the gene itself. Shortfalls in the ability of bioinformatics to predict both the existence and function of genes have also illustrated the need for protein analysis. Moreover, only through the study of proteins can posttranslational modifications be determined, which can profoundly affect protein function. Proteomics has been enabled by the accumulation of both DNA and protein sequence databases, improvements in mass spectrometry, and the development of computer algorithms for database searching. In this review, we describe why proteomics is important, how it is conducted, and how it can be applied to complement other existing technologies. We conclude that currently, the most practical application of proteomics is the analysis of target proteins as opposed to entire proteomes. This type of proteomics, referred to as functional proteomics, is always driven by a specific biological question. In this way, protein identification and characterization has a meaningful outcome. We discuss some of the advantages of a functional proteomics approach and provide examples of how different methodologies can be utilized to address a wide variety of biological problems. PMID:11875127

  7. Proteome Studies of Filamentous Fungi

    SciTech Connect

    Baker, Scott E.; Panisko, Ellen A.

    2011-04-20

    The continued fast pace of fungal genome sequence generation has enabled proteomic analysis of a wide breadth of organisms that span the breadth of the Kingdom Fungi. There is some phylogenetic bias to the current catalog of fungi with reasonable DNA sequence databases (genomic or EST) that could be analyzed at a global proteomic level. However, the rapid development of next generation sequencing platforms has lowered the cost of genome sequencing such that in the near future, having a genome sequence will no longer be a time or cost bottleneck for downstream proteomic (and transcriptomic) analyses. High throughput, non-gel based proteomics offers a snapshot of proteins present in a given sample at a single point in time. There are a number of different variations on the general method and technologies for identifying peptides in a given sample. We present a method that can serve as a “baseline” for proteomic studies of fungi.

  8. Proteomics research in India: an update.

    PubMed

    Reddy, Panga Jaipal; Atak, Apurva; Ghantasala, Saicharan; Kumar, Saurabh; Gupta, Shabarni; Prasad, T S Keshava; Zingde, Surekha M; Srivastava, Sanjeeva

    2015-09-01

    After a successful completion of the Human Genome Project, deciphering the mystery surrounding the human proteome posed a major challenge. Despite not being largely involved in the Human Genome Project, the Indian scientific community contributed towards proteomic research along with the global community. Currently, more than 76 research/academic institutes and nearly 145 research labs are involved in core proteomic research across India. The Indian researchers have been major contributors in drafting the "human proteome map" along with international efforts. In addition to this, virtual proteomics labs, proteomics courses and remote triggered proteomics labs have helped to overcome the limitations of proteomics education posed due to expensive lab infrastructure. The establishment of Proteomics Society, India (PSI) has created a platform for the Indian proteomic researchers to share ideas, research collaborations and conduct annual conferences and workshops. Indian proteomic research is really moving forward with the global proteomics community in a quest to solve the mysteries of proteomics. A draft map of the human proteome enhances the enthusiasm among intellectuals to promote proteomic research in India to the world.This article is part of a Special Issue entitled: Proteomics in India. PMID:25868663

  9. University studies science course selection and academic achievement in relation to the Myers-Briggs Type Indicator

    NASA Astrophysics Data System (ADS)

    Skauge, Suzanne Elizabeth

    This research conducted at a southern regional university studied general education (University Studies - US) science course selection and academic success in US science in relation to Myers-Briggs Type Indicator (MBTI) preference categories (SF, ST, NF and NT). Additionally, differences in type preferences among students with mathematics and/or reading competency were explored. Data was examined for 755 students enrolled in the freshman success seminar course between Fall 1989 and Spring 1995 who had completed the MBTI test as part of that class. US science courses examined were grouped by science study: earth science, biology, chemistry and physics. Academic success was defined as a grade of "C" or higher and proficiency criteria were dictated by the university catalog. The study's nonparametric test results did not find any significant differences between MBTI type preferences and the two main areas of focus, US science course selection and academic success in US science courses. However, significant proportional differences were found between type preferences in relation to student reading competency (sig. = .03), as well as, reading competency and academic success in science (sig. = .04) even though fairly weak relationships existed between the variables with contingency coefficients of .11 and .10 respectively. All other relationships tested proved not significant. Each type's course selection closely reflected the overall sample: Earth Science 52.3%, Biology 34%, Chemistry 7.5% and Physics 6.1%. Nearly one-fifth (19.7%) of the sample were not successful in their selected science course. Less than two-fifths (37.7%) of student sample were not mathematics and/or reading competent. Academically in science intuitive types tended to do better than sensing types and feeling types tended to better than thinking types (NF 2.41, NT 2.36, SF 2.29 and ST 2.23). Further analysis found the TF preference scale contributed more toward the significant differences in reading

  10. Ovarian Cancer Proteomic, Phosphoproteomic, and Glycoproteomic Data Released - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    National Cancer Institute (NCI) Clinical Proteomic Tumor Analysis Consortium (CPTAC) scientists have just released a comprehensive dataset of the proteomic analysis of high grade serous ovarian tumor samples,

  11. Immunocapture strategies in translational proteomics

    PubMed Central

    Fredolini, Claudia; Byström, Sanna; Pin, Elisa; Edfors, Fredrik; Tamburro, Davide; Iglesias, Maria Jesus; Häggmark, Anna; Hong, Mun-Gwan; Uhlen, Mathias; Nilsson, Peter; Schwenk, Jochen M

    2016-01-01

    Aiming at clinical studies of human diseases, antibody-assisted assays have been applied to biomarker discovery and toward a streamlined translation from patient profiling to assays supporting personalized treatments. In recent years, integrated strategies to couple and combine antibodies with mass spectrometry-based proteomic efforts have emerged, allowing for novel possibilities in basic and clinical research. Described in this review are some of the field’s current and emerging immunocapture approaches from an affinity proteomics perspective. Discussed are some of their advantages, pitfalls and opportunities for the next phase in clinical and translational proteomics. PMID:26558424

  12. Plant proteomics methods and protocols.

    PubMed

    Jorrin-Novo, Jesus V

    2014-01-01

    In this first, introductory chapter, it is intended to summarize from a methodological point of view the state of the art in plant proteomics, focusing on mass spectrometry-based strategies. Thus, this chapter is mainly directed at beginners or at those trying to get into the field, rather than at those with real experience or a long trajectory in plant proteomics research. The different alternative workflows, methods, techniques, and protocols from the experimental design to the data analysis will be briefly commented, with cross references to previous monographs and reviews, as well as to the rest of the book chapters. The difficulty of working with proteins, together with the power, limitations, and challenges of the approach will also be briefly discussed.Proteins, as molecular entities, and the cell proteome, as a whole, are much more complex than what we thought in the past and can be studied in a single experiment. Because of that, fractionation and complementary strategies are required for its study. The MS analysis of complex samples may result in up to 100,000-peptide spectra that cannot be easily analyzed with standard procedures. Therefore, proteomics, more than other -omics, needs a dry lab, time, and an effort in data mining.As main conclusion, it can be stated that proteomics is in its beginnings. It is starting to make important contributions to a proper gene annotation, identification, and characterization of gene products or protein species and to the knowledge of living organisms, having also an enormous application potential to translational research. However, and despite its great potential, and as in any other experimental approach, it is far from being a Pandora's Box. In the case of plant research, the full potential of proteomics is quite far from being totally exploited, and second-, third-, and fourth-generation proteomics techniques are still of very limited use. Most of the plant proteomics papers so far published belong to the

  13. Vitreous Proteomics and Diabetic Retinopathy

    PubMed Central

    Walia, Saloni; Clermont, Allen C.; Gao, Ben-Bo; Aiello, Lloyd Paul; Feener, Edward P.

    2016-01-01

    Diabetic retinopathy is the major cause of acquired blindness in working age adults. Studies of the vitreous proteome have provided insights into the etiology of diabetic retinopathy and suggested potential molecular targets for treatments. Further characterization of the protein changes associated with the progression of this disease may suggest additional therapeutic approaches as well as reveal novel factors that may be useful in predicting risk and functional outcomes of interventional therapies. This article provides an overview of the various techniques used for proteomic analysis of the vitreous and details results from studies evaluating vitreous of diabetic patients using the proteomic approach. PMID:21091014

  14. The rigorous bound on the transmission probability for massless scalar field of non-negative-angular-momentum mode emitted from a Myers-Perry black hole

    NASA Astrophysics Data System (ADS)

    Ngampitipan, Tritos; Boonserm, Petarpa; Chatrabhuti, Auttakit; Visser, Matt

    2016-06-01

    Hawking radiation is the evidence for the existence of black hole. What an observer can measure through Hawking radiation is the transmission probability. In the laboratory, miniature black holes can successfully be generated. The generated black holes are, most commonly, Myers-Perry black holes. In this paper, we will derive the rigorous bounds on the transmission probabilities for massless scalar fields of non-negative-angular-momentum modes emitted from a generated Myers-Perry black hole in six, seven, and eight dimensions. The results show that for low energy, the rigorous bounds increase with the increase in the energy of emitted particles. However, for high energy, the rigorous bounds decrease with the increase in the energy of emitted particles. When the black holes spin faster, the rigorous bounds decrease. For dimension dependence, the rigorous bounds also decrease with the increase in the number of extra dimensions. Furthermore, as comparison to the approximate transmission probability, the rigorous bound is proven to be useful.

  15. Quantitative Proteome Mapping of Nitrotyrosines

    SciTech Connect

    Bigelow, Diana J.; Qian, Weijun

    2008-02-10

    An essential first step in the understanding disease and environmental perturbations is the early and quantitative detection of the increased levels of the inflammatory marker nitrotyrosine, as compared with its endogenous levels within the tissue or cellular proteome. Thus, methods that successfully address a proteome-wide quantitation of nitrotyrosine and related oxidative modifications can provide early biomarkers of risk and progression of disease as well as effective strategies for therapy. Multidimensional separations LC coupled with tandem mass spectrometry (LC-MS/MS) has, in recent years, significantly expanded our knowledge of human (and mammalian model system) proteomes including some nascent work in identification of post-translational modifications. In the following review, we discuss the application of LC-MS/MS for quantitation and identification of nitrotyrosine-modified proteins within the context of complex protein mixtures presented in mammalian proteomes.

  16. The human proteomics initiative (HPI).

    PubMed

    O'Donovan, C; Apweiler, R; Bairoch, A

    2001-05-01

    The availability of the human genome sequence has enabled the exploration and exploitation of the human genome and proteome to begin. Research has now focussed on the annotation of the genome and in particular of the proteome. With expert annotation extracted from the literature by biologists as the foundation, it has been possible to expand into the areas of data mining and automatic annotation. With further development and integration of pattern recognition methods and the application of alignments clustering, proteome analysis can now be provided in a meaningful way. These various approaches have been integrated to attach, extract and combine as much relevant information as possible to the proteome. This resource should be valuable to users from both research and industry. PMID:11301130

  17. Proteomics of Plant Pathogenic Fungi

    PubMed Central

    González-Fernández, Raquel; Prats, Elena; Jorrín-Novo, Jesús V.

    2010-01-01

    Plant pathogenic fungi cause important yield losses in crops. In order to develop efficient and environmental friendly crop protection strategies, molecular studies of the fungal biological cycle, virulence factors, and interaction with its host are necessary. For that reason, several approaches have been performed using both classical genetic, cell biology, and biochemistry and the modern, holistic, and high-throughput, omic techniques. This work briefly overviews the tools available for studying Plant Pathogenic Fungi and is amply focused on MS-based Proteomics analysis, based on original papers published up to December 2009. At a methodological level, different steps in a proteomic workflow experiment are discussed. Separate sections are devoted to fungal descriptive (intracellular, subcellular, extracellular) and differential expression proteomics and interactomics. From the work published we can conclude that Proteomics, in combination with other techniques, constitutes a powerful tool for providing important information about pathogenicity and virulence factors, thus opening up new possibilities for crop disease diagnosis and crop protection. PMID:20589070

  18. Spectral library searching in proteomics.

    PubMed

    Griss, Johannes

    2016-03-01

    Spectral library searching has become a mature method to identify tandem mass spectra in proteomics data analysis. This review provides a comprehensive overview of available spectral library search engines and highlights their distinct features. Additionally, resources providing spectral libraries are summarized and tools presented that extend experimental spectral libraries by simulating spectra. Finally, spectrum clustering algorithms are discussed that utilize the same spectrum-to-spectrum matching algorithms as spectral library search engines and allow novel methods to analyse proteomics data. PMID:26616598

  19. The Succinated Proteome

    SciTech Connect

    Merkley, Eric D.; Metz, Thomas O.; Smith, Richard D.; Baynes, John; Frizell, Norma

    2014-03-30

    Succination is a chemical modification of cysteine in protein by the Krebs cycle intermediate, fumarate, yielding S-(2-succino)cysteine (2SC). Intracellular fumarate concentration and succination of proteins are increased by hyperpolarization of the inner mitochondrial membrane, in concert with mitochondrial, endoplasmic reticulum (ER) and oxidative stress in adipocytes grown in high glucose medium and in adipose tissue in obesity and diabetes. Increased succination of proteins is also detected in the kidney of a fumarase conditional knock-out mouse which develops renal tumors. Keap1, the gatekeeper of the antioxidant response, was identified as a major succinated protein in renal cancer cells, suggesting that succination may play a role in activation of the antioxidant response. A wide range of proteins is subject to succination, including enzymes, adipokines, cytoskeletal proteins and ER chaperones with functional cysteine residues. There is also significant overlap between succinated and glutathionylated proteins, and with proteins containing cysteine residues that are readily oxidized to the sulfenic (cysteic) acid. Succination of adipocyte proteins is inhibited by uncouplers, which discharge the mitochondrial membrane potential (Δψm) and by ER stress inhibitors. 2SC serves as a biomarker of mitochondrial stress or dysfunction in chronic diseases, such as obesity, diabetes and cancer, and recent studies suggest that succination is a mechanistic link between mitochondrial dysfunction, oxidative and ER stress, and cellular progression toward apoptosis. In this article, we review the history of the succinated proteome and the challenges associated with measuring this non-enzymatic post-translational modification of proteins by proteomics approaches.

  20. THE SUCCINATED PROTEOME

    PubMed Central

    Merkley, Eric D.; Metz, Thomas O.; Smith, Richard D.; Baynes, John W.; Frizzell, Norma

    2014-01-01

    The post-translational modifications (PTMs) of cysteine residues include oxidation, S-glutathionylation, S-nitrosylation, and succination, all of which modify protein function or turnover in response to a changing intracellular redox environment. Succination is a chemical modification of cysteine in proteins by the Krebs cycle intermediate, fumarate, yielding S-(2-succino) cysteine (2SC). Intracellular fumarate concentration and succination of proteins are increased by hyperpolarization of the inner mitochondrial membrane, in concert with mitochondrial, endoplasmic reticulum (ER) and oxidative stress in 3T3 adipocytes grown in high glucose medium and in adipose tissue in obesity and diabetes in mice. Increased succination of proteins is also detected in the kidney of a fumarase deficient conditional knock-out mouse which develops renal cysts. A wide range of proteins are subject to succination, including enzymes, adipokines, cytoskeletal proteins, and ER chaperones with functional cysteine residues. There is also some overlap between succinated and glutathionylated proteins, suggesting that the same low pKa thiols are targeted by both. Succination of adipocyte proteins in diabetes increases as a result of nutrient excess derived mitochondrial stress and this is inhibited by uncouplers, which discharge the mitochondrial membrane potential (ΔΨm) and relieve the electron transport chain. 2SC therefore serves as a biomarker of mitochondrial stress or dysfunction in chronic diseases, such as obesity, diabetes, and cancer, and recent studies suggest that succination is a mechanistic link between mitochondrial dysfunction, oxidative and ER stress, and cellular progression toward apoptosis. In this article, we review the history of the succinated proteome and the challenges associated with measuring this non-enzymatic PTM of proteins by proteomics approaches. PMID:24115015

  1. The proteome of human saliva

    NASA Astrophysics Data System (ADS)

    Griffin, Timothy J.

    2013-05-01

    Human saliva holds tremendous potential for transforming disease and health diagnostics given its richness of molecular information and non-invasive collection. Enumerating its molecular constituents is an important first step towards reaching this potential. Among the molecules in saliva, proteins and peptides arguably have the most value: they can directly indicate biochemical functions linked to a health condition/disease state, and they are attractive targets for biomarker assay development. However, cataloging and defining the human salivary proteome is challenging given the dynamic, chemically heterogeneous and complex nature of the system. In addition, the overall human saliva proteome is composed of several "sub-proteomes" which include: intact full length proteins, proteins carrying post-translational modifications (PTMs), low molecular weight peptides, and the metaproteome, derived from protein products from nonhuman organisms (e.g. microbes) present in the oral cavity. Presented here will be a summary of communal efforts to meet the challenge of characterizing the multifaceted saliva proteome, focusing on the use of mass spectrometry as the proteomic technology of choice. Implications of these efforts to characterize the salivary proteome in the context of disease diagnostics will also be discussed.

  2. Cell death proteomics database: consolidating proteomics data on cell death.

    PubMed

    Arntzen, Magnus Ø; Bull, Vibeke H; Thiede, Bernd

    2013-05-01

    Programmed cell death is a ubiquitous process of utmost importance for the development and maintenance of multicellular organisms. More than 10 different types of programmed cell death forms have been discovered. Several proteomics analyses have been performed to gain insight in proteins involved in the different forms of programmed cell death. To consolidate these studies, we have developed the cell death proteomics (CDP) database, which comprehends data from apoptosis, autophagy, cytotoxic granule-mediated cell death, excitotoxicity, mitotic catastrophe, paraptosis, pyroptosis, and Wallerian degeneration. The CDP database is available as a web-based database to compare protein identifications and quantitative information across different experimental setups. The proteomics data of 73 publications were integrated and unified with protein annotations from UniProt-KB and gene ontology (GO). Currently, more than 6,500 records of more than 3,700 proteins are included in the CDP. Comparing apoptosis and autophagy using overrepresentation analysis of GO terms, the majority of enriched processes were found in both, but also some clear differences were perceived. Furthermore, the analysis revealed differences and similarities of the proteome between autophagosomal and overall autophagy. The CDP database represents a useful tool to consolidate data from proteome analyses of programmed cell death and is available at http://celldeathproteomics.uio.no. PMID:23537399

  3. Proteomics in evolutionary ecology.

    PubMed

    Baer, B; Millar, A H

    2016-03-01

    Evolutionary ecologists are traditionally gene-focused, as genes propagate phenotypic traits across generations and mutations and recombination in the DNA generate genetic diversity required for evolutionary processes. As a consequence, the inheritance of changed DNA provides a molecular explanation for the functional changes associated with natural selection. A direct focus on proteins on the other hand, the actual molecular agents responsible for the expression of a phenotypic trait, receives far less interest from ecologists and evolutionary biologists. This is partially due to the central dogma of molecular biology that appears to define proteins as the 'dead-end of molecular information flow' as well as technical limitations in identifying and studying proteins and their diversity in the field and in many of the more exotic genera often favored in ecological studies. Here we provide an overview of a newly forming field of research that we refer to as 'Evolutionary Proteomics'. We point out that the origins of cellular function are related to the properties of polypeptide and RNA and their interactions with the environment, rather than DNA descent, and that the critical role of horizontal gene transfer in evolution is more about coopting new proteins to impact cellular processes than it is about modifying gene function. Furthermore, post-transcriptional and post-translational processes generate a remarkable diversity of mature proteins from a single gene, and the properties of these mature proteins can also influence inheritance through genetic and perhaps epigenetic mechanisms. The influence of post-transcriptional diversification on evolutionary processes could provide a novel mechanistic underpinning for elements of rapid, directed evolutionary changes and adaptations as observed for a variety of evolutionary processes. Modern state-of the art technologies based on mass spectrometry are now available to identify and quantify peptides, proteins, protein

  4. Separability of the massive Dirac equation in 5-dimensional Myers-Perry black hole geometry and its relation to a rank-three Killing-Yano tensor

    NASA Astrophysics Data System (ADS)

    Wu, Shuang-Qing

    2008-09-01

    The Dirac equation for the electron around a five-dimensional rotating black hole with two different angular momenta is separated into purely radial and purely angular equations. The general solution is expressed as a superposition of solutions derived from these two decoupled ordinary differential equations. By separating variables for the massive Klein-Gordon equation in the same spacetime background, I derive a simple and elegant form for the Stäckel-Killing tensor, which can be easily written as the square of a rank-three Killing-Yano tensor. I have also explicitly constructed a symmetry operator that commutes with the scalar Laplacian by using the Stäckel-Killing tensor, and the one with the Dirac operator by the Killing-Yano tensor admitted by the five-dimensional Myers-Perry metric, respectively.

  5. Separability of the massive Dirac equation in 5-dimensional Myers-Perry black hole geometry and its relation to a rank-three Killing-Yano tensor

    SciTech Connect

    Wu Shuangqing

    2008-09-15

    The Dirac equation for the electron around a five-dimensional rotating black hole with two different angular momenta is separated into purely radial and purely angular equations. The general solution is expressed as a superposition of solutions derived from these two decoupled ordinary differential equations. By separating variables for the massive Klein-Gordon equation in the same spacetime background, I derive a simple and elegant form for the Staeckel-Killing tensor, which can be easily written as the square of a rank-three Killing-Yano tensor. I have also explicitly constructed a symmetry operator that commutes with the scalar Laplacian by using the Staeckel-Killing tensor, and the one with the Dirac operator by the Killing-Yano tensor admitted by the five-dimensional Myers-Perry metric, respectively.

  6. Proteomic insights into floral biology.

    PubMed

    Li, Xiaobai; Jackson, Aaron; Xie, Ming; Wu, Dianxing; Tsai, Wen-Chieh; Zhang, Sheng

    2016-08-01

    The flower is the most important biological structure for ensuring angiosperms reproductive success. Not only does the flower contain critical reproductive organs, but the wide variation in morphology, color, and scent has evolved to entice specialized pollinators, and arguably mankind in many cases, to ensure the successful propagation of its species. Recent proteomic approaches have identified protein candidates related to these flower traits, which has shed light on a number of previously unknown mechanisms underlying these traits. This review article provides a comprehensive overview of the latest advances in proteomic research in floral biology according to the order of flower structure, from corolla to male and female reproductive organs. It summarizes mainstream proteomic methods for plant research and recent improvements on two dimensional gel electrophoresis and gel-free workflows for both peptide level and protein level analysis. The recent advances in sequencing technologies provide a new paradigm for the ever-increasing genome and transcriptome information on many organisms. It is now possible to integrate genomic and transcriptomic data with proteomic results for large-scale protein characterization, so that a global understanding of the complex molecular networks in flower biology can be readily achieved. This article is part of a Special Issue entitled: Plant Proteomics--a bridge between fundamental processes and crop production, edited by Dr. Hans-Peter Mock. PMID:26945514

  7. Proteomic analysis of engineered cartilage

    PubMed Central

    Pu, Xinzhu; Oxford, Julia Thom

    2016-01-01

    Summary Tissue engineering holds promise for the treatment of damaged and diseased tissues, especially for those tissues that do not undergo repair and regeneration readily in situ. Many techniques are available for cell and tissue culturing and differentiation of chondrocytes using a variety of cell types, differentiation methods, and scaffolds. In each case, it is critical to demonstrate the cellular phenotype and tissue composition, with particular attention to the extracellular matrix molecules that play a structural role and that contribute to the mechanical properties of the resulting tissue construct. Mass spectrometry provides an ideal analytical method with which to characterize the full spectrum of proteins produced by tissue engineered cartilage. Using normal cartilage tissue as a standard, tissue engineered cartilage can be optimized according to the entire proteome. Proteomic analysis is a complementary approach to biochemical, immunohistochemical, and mechanical testing of cartilage constructs. Proteomics is applicable as an analysis approach to most cartilage constructs generated from a variety of cellular sources including primary chondrocytes, mesenchymal stem cells from bone marrow, adipose tissue, induced pluripotent stem cells, and embryonic stem cells. Additionally, proteomics can be used to optimize novel scaffolds and bioreactor applications, yielding cartilage tissue with the proteomic profile of natural cartilage. PMID:26445845

  8. Structural Proteomics of Herpesviruses

    PubMed Central

    Leroy, Baptiste; Gillet, Laurent; Vanderplasschen, Alain; Wattiez, Ruddy

    2016-01-01

    Herpesviruses are highly prevalent viruses associated with numerous pathologies both in animal and human populations. Until now, most of the strategies used to prevent or to cure these infections have been unsuccessful because these viruses have developed numerous immune evasion mechanisms. Therefore, a better understanding of their complex lifecycle is needed. In particular, while the genome of numerous herpesviruses has been sequenced, the exact composition of virions remains unknown for most of them. Mass spectrometry has recently emerged as a central method and has permitted fundamental discoveries in virology. Here, we review mass spectrometry-based approaches that have recently allowed a better understanding of the composition of the herpesvirus virion. In particular, we describe strategies commonly used for proper sample preparation and fractionation to allow protein localization inside the particle but also to avoid contamination by nonstructural proteins. A collection of other important data regarding post-translational modifications or the relative abundance of structural proteins is also described. This review also discusses the poorly studied importance of host proteins in herpesvirus structural proteins and the necessity to develop a quantitative workflow to better understand the dynamics of the structural proteome. In the future, we hope that this collaborative effort will assist in the development of new strategies to fight these infections. PMID:26907323

  9. Nanotechnologies in proteomics.

    PubMed

    Ivanov, Yuri D; Govorun, Vadim M; Bykov, Victor A; Archakov, Alexander I

    2006-03-01

    Progress in proteomic researches is largely determined by development and implementation of new methods for the revelation and identification of proteins in biological material in a wide concentration range (from 10(-3) M to single molecules). The most perspective approaches to address this problem involve (i) nanotechnological physicochemical procedures for the separation of multicomponent protein mixtures; among these of particular interest are biospecific nanotechnological procedures for selection of proteins from multicomponent protein mixtures with their subsequent concentration on solid support; (ii) identification and counting of single molecules by use of molecular detectors. The prototypes of biospecific nanotechnological procedures, based on the capture of ligand biomolecules by biomolecules of immobilized ligate and the concentration of the captured ligands on appropriate surfaces, are well known; these are affinity chromatography, magnetic biobeads technology, different biosensor methods, etc. Here, we review the most promising nanotechnological approaches for selection of proteins and kinetic characterization of their complexes based on these biospecific methods with subsequent MS/MS identification of proteins and protein complexes. Two major groups of methods for the analysis and identification of individual molecules and their complexes by use of molecular detectors will be reviewed: scanning probe microscopy (SPM) (including atomic-force microscopy) and cryomassdetector technology. PMID:16447155

  10. Structural Proteomics of Herpesviruses.

    PubMed

    Leroy, Baptiste; Gillet, Laurent; Vanderplasschen, Alain; Wattiez, Ruddy

    2016-02-01

    Herpesviruses are highly prevalent viruses associated with numerous pathologies both in animal and human populations. Until now, most of the strategies used to prevent or to cure these infections have been unsuccessful because these viruses have developed numerous immune evasion mechanisms. Therefore, a better understanding of their complex lifecycle is needed. In particular, while the genome of numerous herpesviruses has been sequenced, the exact composition of virions remains unknown for most of them. Mass spectrometry has recently emerged as a central method and has permitted fundamental discoveries in virology. Here, we review mass spectrometry-based approaches that have recently allowed a better understanding of the composition of the herpesvirus virion. In particular, we describe strategies commonly used for proper sample preparation and fractionation to allow protein localization inside the particle but also to avoid contamination by nonstructural proteins. A collection of other important data regarding post-translational modifications or the relative abundance of structural proteins is also described. This review also discusses the poorly studied importance of host proteins in herpesvirus structural proteins and the necessity to develop a quantitative workflow to better understand the dynamics of the structural proteome. In the future, we hope that this collaborative effort will assist in the development of new strategies to fight these infections. PMID:26907323

  11. Proteome of Hydra Nematocyst*

    PubMed Central

    Balasubramanian, Prakash G.; Beckmann, Anna; Warnken, Uwe; Schnölzer, Martina; Schüler, Andreas; Bornberg-Bauer, Erich; Holstein, Thomas W.; Özbek, Suat

    2012-01-01

    Stinging cells or nematocytes of jellyfish and other cnidarians represent one of the most poisonous and sophisticated cellular inventions in animal evolution. This ancient cell type is unique in containing a giant secretory vesicle derived from the Golgi apparatus. The organelle structure within the vesicle comprises an elastically stretched capsule (nematocyst) to which a long tubule is attached. During exocytosis, the barbed part of the tubule is accelerated with >5 million g in <700 ns, enabling a harpoon-like discharge (Nüchter, T., Benoit, M., Engel, U., Ozbek, S., and Holstein, T. W. (2006) Curr. Biol. 16, R316–R318). Hitherto, the molecular components responsible for the organelle's biomechanical properties were largely unknown. Here, we describe the proteome of nematocysts from the freshwater polyp Hydra magnipapillata. Our analysis revealed an unexpectedly complex secretome of 410 proteins with venomous and lytic but also adhesive or fibrous properties. In particular, the insoluble fraction of the nematocyst represents a functional extracellular matrix structure of collagenous and elastic nature. This finding suggests an evolutionary scenario in which exocytic vesicles harboring a venomous secretome assembled a sophisticated predatory structure from extracellular matrix motif proteins. PMID:22291027

  12. Proteomics technology in systems biology.

    PubMed

    Smith, Jeffrey C; Figeys, Daniel

    2006-08-01

    It has now become apparent that a full understanding of a biological process (e.g. a disease state) is only possible if all biomolecular interactions are taken into account. Systems biology works towards understanding the intricacies of cellular life through the collaborative efforts of biologists, chemists, mathematicians and computer scientists and recently, a number of laboratories around the world have embarked upon such research agendas. The fields of genomics and proteomics are foundational in systems biology studies and a great deal of research is currently being conducted in each worldwide. Moreover, many technological advances (particularly in mass spectrometry) have led to a dramatic rise in the number of proteomic studies over the past two decades. This short review summarizes a selection of technological innovations in proteomics that contribute to systems biology studies. PMID:16880956

  13. Advances of Proteomic Sciences in Dentistry

    PubMed Central

    Khurshid, Zohaib; Zohaib, Sana; Najeeb, Shariq; Zafar, Muhammad Sohail; Rehman, Rabia; Rehman, Ihtesham Ur

    2016-01-01

    Applications of proteomics tools revolutionized various biomedical disciplines such as genetics, molecular biology, medicine, and dentistry. The aim of this review is to highlight the major milestones in proteomics in dentistry during the last fifteen years. Human oral cavity contains hard and soft tissues and various biofluids including saliva and crevicular fluid. Proteomics has brought revolution in dentistry by helping in the early diagnosis of various diseases identified by the detection of numerous biomarkers present in the oral fluids. This paper covers the role of proteomics tools for the analysis of oral tissues. In addition, dental materials proteomics and their future directions are discussed. PMID:27187379

  14. Advances of Proteomic Sciences in Dentistry.

    PubMed

    Khurshid, Zohaib; Zohaib, Sana; Najeeb, Shariq; Zafar, Muhammad Sohail; Rehman, Rabia; Rehman, Ihtesham Ur

    2016-01-01

    Applications of proteomics tools revolutionized various biomedical disciplines such as genetics, molecular biology, medicine, and dentistry. The aim of this review is to highlight the major milestones in proteomics in dentistry during the last fifteen years. Human oral cavity contains hard and soft tissues and various biofluids including saliva and crevicular fluid. Proteomics has brought revolution in dentistry by helping in the early diagnosis of various diseases identified by the detection of numerous biomarkers present in the oral fluids. This paper covers the role of proteomics tools for the analysis of oral tissues. In addition, dental materials proteomics and their future directions are discussed. PMID:27187379

  15. Scientific Workflow Management in Proteomics

    PubMed Central

    de Bruin, Jeroen S.; Deelder, André M.; Palmblad, Magnus

    2012-01-01

    Data processing in proteomics can be a challenging endeavor, requiring extensive knowledge of many different software packages, all with different algorithms, data format requirements, and user interfaces. In this article we describe the integration of a number of existing programs and tools in Taverna Workbench, a scientific workflow manager currently being developed in the bioinformatics community. We demonstrate how a workflow manager provides a single, visually clear and intuitive interface to complex data analysis tasks in proteomics, from raw mass spectrometry data to protein identifications and beyond. PMID:22411703

  16. Microbial proteomics: the quiet revolution

    SciTech Connect

    Seraphin, Bertrand; Hettich, Robert {Bob} L

    2012-01-01

    Technological developments in DNA sequencing and their application to study thousands of microbial genomes or even microbial ecosystems still today often make the headlines of general newspapers and scientific journals. These revolutionary changes are hiding another revolution that is unfolding more quietly in the background: the development of microbial proteomics to study genome expression products. It is important to recognize that while DNA sequencing reveals extensive details about the genomic potential of an organism or community, proteomic measurements reveal the functional gene products that are present and operational under specific environmental conditions, and thus perhaps better characterize the critical biomolecules that execute the life processes (enzymes, signaling, structural factors, etc.).

  17. What is Proteomics? - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    The term "proteome" refers to the entire complement of proteins, including the modifications made to a particular set of proteins, produced by an organism or a cellular system. This will vary with time and distinct requirements, such as stresses, that a cell or organism undergoes.

  18. Wheat proteomics: proteome modulation and abiotic stress acclimation

    PubMed Central

    Komatsu, Setsuko; Kamal, Abu H. M.; Hossain, Zahed

    2014-01-01

    Cellular mechanisms of stress sensing and signaling represent the initial plant responses to adverse conditions. The development of high-throughput “Omics” techniques has initiated a new era of the study of plant molecular strategies for adapting to environmental changes. However, the elucidation of stress adaptation mechanisms in plants requires the accurate isolation and characterization of stress-responsive proteins. Because the functional part of the genome, namely the proteins and their post-translational modifications, are critical for plant stress responses, proteomic studies provide comprehensive information about the fine-tuning of cellular pathways that primarily involved in stress mitigation. This review summarizes the major proteomic findings related to alterations in the wheat proteomic profile in response to abiotic stresses. Moreover, the strengths and weaknesses of different sample preparation techniques, including subcellular protein extraction protocols, are discussed in detail. The continued development of proteomic approaches in combination with rapidly evolving bioinformatics tools and interactive databases will facilitate understanding of the plant mechanisms underlying stress tolerance. PMID:25538718

  19. Proteomics Funding Opportunity - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    To expand the understanding of how cells sense and respond to changes in their physical environment, the NCI is seeking to perform proteomic assays on the panel of cell lines grown on a variety of substrates. These assays will provide insight into changes in protein levels or phosphorylation changes that could reflect the activity of mechano-transduction pathways.

  20. Comparative proteomics in acute myeloid leukemia

    PubMed Central

    Luczak, Magdalena; Kaźmierczak, Maciej; Hadschuh, Luiza; Lewandowski, Krzysztof; Komarnicki, Mieczysław

    2012-01-01

    The term proteomics was used for the first time in 1995 to describe large-scale protein analyses. At the same time proteomics was distinguished as a new domain of the life sciences. The major object of proteomic studies is the proteome, i.e. the set of all proteins accumulating in a given cell, tissue or organ. During the last years several new methods and techniques have been developed to increase the fidelity and efficacy of proteomic analyses. The most widely used are two-dimensional electrophoresis (2DE) and mass spectrometry (MS). In the past decade proteomic analyses have also been successfully applied in biomedical research. They allow one to determine how various diseases affect the pattern of protein accumulation. In this paper, we attempt to summarize the results of the proteomic analyses of acute myeloid leukemia (AML) cells. They have increased our knowledge on the mechanisms underlying AML development and contributed to progress in AML diagnostics and treatment. PMID:23788862

  1. Proteomics in Aquaculture Research: Are We There Yet?

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Proteomics can be defined as the study of the entire proteome, the proteome being the expressed compliment of the genome. Proteomics aims to understand gene function and molecular processes of the living cell through the study of expressed proteins. A review of the literature suggests proteomics i...

  2. Proteomics of Saccharomyces cerevisiae Organelles*

    PubMed Central

    Wiederhold, Elena; Veenhoff, Liesbeth M.; Poolman, Bert; Slotboom, Dirk Jan

    2010-01-01

    Knowledge of the subcellular localization of proteins is indispensable to understand their physiological roles. In the past decade, 18 studies have been performed to analyze the protein content of isolated organelles from Saccharomyces cerevisiae. Here, we integrate the data sets and compare them with other large scale studies on protein localization and abundance. We evaluate the completeness and reliability of the organelle proteomics studies. Reliability depends on the purity of the organelle preparations, which unavoidably contain (small) amounts of contaminants from different locations. Quantitative proteomics methods can be used to distinguish between true organellar constituents and contaminants. Completeness is compromised when loosely or dynamically associated proteins are lost during organelle preparation and also depends on the sensitivity of the analytical methods for protein detection. There is a clear trend in the data from the 18 organelle proteomics studies showing that proteins of low abundance frequently escape detection. Proteins with unknown function or cellular abundance are also infrequently detected, indicating that these proteins may not be expressed under the conditions used. We discuss that the yeast organelle proteomics studies provide powerful lead data for further detailed studies and that methodological advances in organelle preparation and in protein detection may help to improve the completeness and reliability of the data. PMID:19955081

  3. Periodontal Proteomics: Wonders Never Cease!

    PubMed Central

    Grover, Harpreet Singh; Kapoor, Shalini; Saksena, Neha

    2013-01-01

    Proteins are vital parts of living organisms, as they are integral components of the physiological metabolic pathways of cells. Periodontal tissues comprise multicompartmental groups of interacting cells and matrices that provide continuous support, attachment, proprioception, and physical protection for the teeth. The proteome map, that is, complete catalogue of the matrix and cellular proteins expressed in alveolar bone, cementum, periodontal ligament, and gingiva, is to be explored for more in-depth understanding of periodontium. The ongoing research to understand the signalling pathways that allow cells to divide, differentiate, and die in controlled manner has brought us to the era of proteomics. Proteomics is defined as the study of all proteins including their relative abundance, distribution, posttranslational modifications, functions, and interactions with other macromolecules, in a given cell or organism within a given environment and at a specific stage in the cell cycle. Its application to periodontal science can be used to monitor health status, disease onset, treatment response, and outcome. Proteomics can offer answers to critical, unresolved questions such as the biological basis for the heterogeneity in gingival, alveolar bone, and cemental cell populations. PMID:24490073

  4. Proteomics of foodborne bacterial pathogens

    Technology Transfer Automated Retrieval System (TEKTRAN)

    This chapter focuses on recent research on foodborne bacterial pathogens that use mass spectrometry-based proteomic techniques as well as protein microarrays. Mass spectrometry ionization techniques (e.g. electrospray ionization and matrix-assisted laser desorption/ionization), analyzers (e.g. ion ...

  5. Proteomic approaches to bacterial differentiation

    SciTech Connect

    Norbeck, Angela D.; Callister, Stephen J.; Monroe, Matthew E.; Jaitly, Navdeep; Elias, Dwayne A.; Lipton, Mary S.; Smith, Richard D.

    2006-01-02

    While genomic approaches have been applied to the detection and identification of individual bacteria within microbial communities, analogous proteomics approaches have been effectively precluded due to the inherent complexity. An in silico assessment of peptides derived from artificial simple and complex communities was performed to evaluate the effect of proteome complexity on species detection. Detection and validation of predicted peptides initially identified as distinctive within the simple community was experimentally performed using a mass spectrometry-based proteomics approach. An assessment of peptide distinctiveness and the potential for mapping to a particular bacterium within a community was made throughout each step of the study. A second assessment performed in silico of peptide distinctiveness for a complex community of 25 microorganisms was also conducted. The experimental data for a simple community, and the in silico data for a complex community revealed that it is feasible to predict, observe, and quantify distinctive peptides from one organism in the presence of at least a 100-fold greater abundance of another, thus yielding putative markers for the identification of a bacterium of interest. This work represents a first step towards quantitative proteomic characterization of complex microbial communities.

  6. Breast Cancer Proteomic and Phosphoproteomic Data Released - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    National Cancer Institute (NCI) Clinical Proteomic Tumor Analysis Consortium (CPTAC) scientists have released a dataset of proteins and phophorylated phosphopeptides identified through deep proteomic and phosphoproteomic analysis of breast tumor samples, previously genomically analyzed by The Cancer Genome Atlas (TCGA).

  7. NCI Launches Proteomics Assay Portal - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    In a paper recently published by the journal Nature Methods, Investigators from the National Cancer Institute’s Clinical Proteomic Tumor Analysis Consortium (NCI-CPTAC) announced the launch of a proteomics Assay Portal for multiple reaction monitoring-mass

  8. CPTAC Releases Largest-Ever Breast Cancer Proteome Dataset - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    National Cancer Institute (NCI) Clinical Proteomic Tumor Analysis Consortium (CPTAC) scientists have released a dataset of proteins and phophorylated phosphopeptides identified through deep proteomic and phosphoproteomic analysis of breast tumor samples, previously genomically analyzed by The Cancer Genome Atlas (TCGA).

  9. Proteomics Data on UCSC Genome Browser - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    The National Cancer Institute's Clinical Proteomic Tumor Analysis Consortium scientists are working together with the University of California, Santa Cruz (UCSC) Genomics Institute to provide public access to cancer proteomics data.

  10. Exploring the potential of public proteomics data

    PubMed Central

    Vaudel, Marc; Verheggen, Kenneth; Csordas, Attila; Ræder, Helge; Berven, Frode S.; Martens, Lennart; Vizcaíno, Juan A.

    2015-01-01

    In a global effort for scientific transparency, it has become feasible and good practice to share experimental data supporting novel findings. Consequently, the amount of publicly available MS‐based proteomics data has grown substantially in recent years. With some notable exceptions, this extensive material has however largely been left untouched. The time has now come for the proteomics community to utilize this potential gold mine for new discoveries, and uncover its untapped potential. In this review, we provide a brief history of the sharing of proteomics data, showing ways in which publicly available proteomics data are already being (re‐)used, and outline potential future opportunities based on four different usage types: use, reuse, reprocess, and repurpose. We thus aim to assist the proteomics community in stepping up to the challenge, and to make the most of the rapidly increasing amount of public proteomics data. PMID:26449181

  11. Characterization of the porcine synovial fluid proteome and a comparison to the plasma proteome.

    PubMed

    Bennike, Tue Bjerg; Barnaby, Omar; Steen, Hanno; Stensballe, Allan

    2015-12-01

    Synovial fluid is present in all joint cavities, and protects the articular cartilage surfaces in large by lubricating the joint, thus reducing friction. Several studies have described changes in the protein composition of synovial fluid in patients with joint disease. However, the protein concentration, content, and synovial fluid volume change dramatically during active joint diseases and inflammation, and the proteome composition of healthy synovial fluid is incompletely characterized. We performed a normative proteomics analysis of porcine synovial fluid, and report data from optimizing proteomic methods to investigate the proteome of healthy porcine synovial fluid (Bennike et al., 2014 [1]). We included an evaluation of different proteolytic sample preparation techniques, and an analysis of posttranslational modifications with a focus on glycosylation. We used pig (Sus Scrofa) as a model organism, as the porcine immune system is highly similar to human and the pig genome is sequenced. Furthermore, porcine model systems are commonly used large animal models to study several human diseases. In addition, we analyzed the proteome of human plasma, and compared the proteomes to the obtained porcine synovial fluid proteome. The proteome of the two body fluids were found highly similar, underlining the detected plasma derived nature of many synovial fluid components. The healthy porcine synovial fluid proteomics data, human rheumatoid arthritis synovial fluid proteomics data used in the method optimization, human plasma proteomics data, and search results, have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD000935. PMID:26543887

  12. Characterization of the porcine synovial fluid proteome and a comparison to the plasma proteome

    PubMed Central

    Bennike, Tue Bjerg; Barnaby, Omar; Steen, Hanno; Stensballe, Allan

    2015-01-01

    Synovial fluid is present in all joint cavities, and protects the articular cartilage surfaces in large by lubricating the joint, thus reducing friction. Several studies have described changes in the protein composition of synovial fluid in patients with joint disease. However, the protein concentration, content, and synovial fluid volume change dramatically during active joint diseases and inflammation, and the proteome composition of healthy synovial fluid is incompletely characterized. We performed a normative proteomics analysis of porcine synovial fluid, and report data from optimizing proteomic methods to investigate the proteome of healthy porcine synovial fluid (Bennike et al., 2014 [1]). We included an evaluation of different proteolytic sample preparation techniques, and an analysis of posttranslational modifications with a focus on glycosylation. We used pig (Sus Scrofa) as a model organism, as the porcine immune system is highly similar to human and the pig genome is sequenced. Furthermore, porcine model systems are commonly used large animal models to study several human diseases. In addition, we analyzed the proteome of human plasma, and compared the proteomes to the obtained porcine synovial fluid proteome. The proteome of the two body fluids were found highly similar, underlining the detected plasma derived nature of many synovial fluid components. The healthy porcine synovial fluid proteomics data, human rheumatoid arthritis synovial fluid proteomics data used in the method optimization, human plasma proteomics data, and search results, have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD000935. PMID:26543887

  13. Proteomics and Ovarian Cancer: Integrating Proteomics Information Into Clinical Care

    PubMed Central

    Hays, John L.; Kim, Geoffrey; Giuroiu, Iulia; Kohn, Elise C.

    2010-01-01

    The power of proteomics allows unparalleled opportunity to query the molecular mechanisms of a malignant cell and the tumor microenvironment in patients with ovarian cancer and other solid tumors. This information has given us insight into the perturbations of signaling pathways within tumor cells and has aided the discovery of new drug targets for the tumor and possible prognostic indicators of outcome and disease response to therapy. Proteomics analysis of serum and ascites has also given us sources with which to discover possible early markers for the presence of new disease and for the progression of established cancer throughout the course of treatment. Unfortunately, this wealth of information has yielded little to date in changing the clinical care of these patients from a diagnostic, prognostic, or treatment perspective. The rational examination and translation of proteomics data in the context of past clinical trials and the design of future clinical trials must occur before we can march forward into the future of personalized medicine. PMID:20561909

  14. Database independent proteomics analysis of the ostrich and human proteome.

    PubMed

    Altelaar, A F Maarten; Navarro, Danny; Boekhorst, Jos; van Breukelen, Bas; Snel, Berend; Mohammed, Shabaz; Heck, Albert J R

    2012-01-10

    Mass spectrometry (MS)-based proteome analysis relies heavily on the presence of complete protein databases. Such a strategy is extremely powerful, albeit not adequate in the analysis of unpredicted postgenome events, such as posttranslational modifications, which exponentially increase the search space. Therefore, it is of interest to explore "database-free" approaches. Here, we sampled the ostrich and human proteomes with a method facilitating de novo sequencing, utilizing the protease Lys-N in combination with electron transfer dissociation. By implementing several validation steps, including the combined use of collision-induced dissociation/electron transfer dissociation data and a cross-validation with conventional database search strategies, we identified approximately 2,500 unique de novo peptide sequences from the ostrich sample with over 900 peptides generating full backbone sequence coverage. This dataset allowed the appropriate positioning of ostrich in the evolutionary tree. The described database-free sequencing approach is generically applicable and has great potential in important proteomics applications such as in the analysis of variable parts of endogenous antibodies or proteins modified by a plethora of complex posttranslational modifications. PMID:22198768

  15. Proteomic global profiling for cancer biomarker discovery.

    PubMed

    Faca, Vitor; Wang, Hong; Hanash, Samir

    2009-01-01

    The ultimate goal of cancer molecular diagnostics is the development of simple tests to predict cancer risk, detect cancer early, classify tumors, and monitor response to therapy. Proteomics is well suited for these tasks. However, there are substantial challenges that need to be met to identify the most informative markers using proteomics. Approaches for in-depth quantitative proteomic analysis based on isotopic labeling and protein fractionation are presented in this chapter. PMID:19241042

  16. Biospecimen Solicitation - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    A funding opportunity in support of the National Cancer Institute’s Clinical Proteomic Tumor Analysis Consortium (CPTAC) seeks to prospectively procure tumor samples, collected for proteomics investigation.

  17. Proteomics of Leaf Tissues from Populus

    SciTech Connect

    Hurst, Gregory {Greg} B; Yang, Xiaohan; Tschaplinski, Timothy J; Tuskan, Gerald A; Lankford, Patricia K; Shah, Manesh B; Jawdy, Sara; Gunter, Lee E; Engle, Nancy L

    2010-01-01

    Trees of the genus Populus are farmed commercially for wood and fiber, and are a potential bioenergy crop. As a scientific model organism, P. trichocarpa was the first forest tree for which the genome sequence has been determined. Knowledge of the Populus proteome will provide a deeper understanding of gene expression patterns in various tissues of the plant. To build on our previous profile of the proteome of xylem tissue in Populus (Kalluri et al., Proteomics 2009, 9, 4871), we are currently developing methods for studying the proteome of Populus leaves.

  18. Quantitative Proteomic Analysis of the Human Nucleolus.

    PubMed

    Bensaddek, Dalila; Nicolas, Armel; Lamond, Angus I

    2016-01-01

    Recent years have witnessed spectacular progress in the field of mass spectrometry (MS)-based quantitative proteomics, including advances in instrumentation, chromatography, sample preparation methods, and experimental design for multidimensional analyses. It is now possible not only to identify most of the protein components of a cell proteome in a single experiment, but also to describe additional proteome dimensions, such as protein turnover rates, posttranslational modifications, and subcellular localization. Furthermore, by comparing the proteome at different time points, it is possible to create a "time-lapse" view of proteome dynamics. By combining high-throughput quantitative proteomics with detailed subcellular fractionation protocols and data analysis techniques it is also now possible to characterize in detail the proteomes of specific subcellular organelles, providing important insights into cell regulatory mechanisms and physiological responses. In this chapter we present a reliable workflow and protocol for MS-based analysis and quantitation of the proteome of nucleoli isolated from human cells. The protocol presented is based on a SILAC analysis of human MCF10A-Src-ER cells with analysis performed on a Q-Exactive Plus Orbitrap MS instrument (Thermo Fisher Scientific). The subsequent chapter describes how to process the resulting raw MS files from this experiment using MaxQuant software and data analysis procedures to evaluate the nucleolar proteome using customized R scripts. PMID:27576725

  19. ProCon - PROteomics CONversion tool.

    PubMed

    Mayer, Gerhard; Stephan, Christian; Meyer, Helmut E; Kohl, Michael; Marcus, Katrin; Eisenacher, Martin

    2015-11-01

    With the growing amount of experimental data produced in proteomics experiments and the requirements/recommendations of journals in the proteomics field to publicly make available data described in papers, a need for long-term storage of proteomics data in public repositories arises. For such an upload one needs proteomics data in a standardized format. Therefore, it is desirable, that the proprietary vendor's software will integrate in the future such an export functionality using the standard formats for proteomics results defined by the HUPO-PSI group. Currently not all search engines and analysis tools support these standard formats. In the meantime there is a need to provide user-friendly free-to-use conversion tools that can convert the data into such standard formats in order to support wet-lab scientists in creating proteomics data files ready for upload into the public repositories. ProCon is such a conversion tool written in Java for conversion of proteomics identification data into standard formats mzIdentML and Pride XML. It allows the conversion of Sequest™/Comet .out files, of search results from the popular and often used ProteomeDiscoverer® 1.x (x=versions 1.1 to1.4) software and search results stored in the LIMS systems ProteinScape® 1.3 and 2.1 into mzIdentML and PRIDE XML. This article is part of a Special Issue entitled: Computational Proteomics. PMID:26182917

  20. Proteomic biomarkers in lung cancer.

    PubMed

    Pastor, M D; Nogal, A; Molina-Pinelo, S; Carnero, A; Paz-Ares, L

    2013-09-01

    The correct understanding of tumour development relies on the comprehensive study of proteins. They are the main orchestrators of vital processes, such as signalling pathways, which drive the carcinogenic process. Proteomic technologies can be applied to cancer research to detect differential protein expression and to assess different responses to treatment. Lung cancer is the number one cause of cancer-related death in the world. Mostly diagnosed at late stages of the disease, lung cancer has one of the lowest 5-year survival rates at 15 %. The use of different proteomic techniques such as two-dimensional gel electrophoresis (2D-PAGE), isotope labelling (ICAT, SILAC, iTRAQ) and mass spectrometry may yield new knowledge on the underlying biology of lung cancer and also allow the development of new early detection tests and the identification of changes in the cancer protein network that are associated with prognosis and drug resistance. PMID:23606351

  1. Proteome analysis for rat saliva.

    PubMed

    Inenaga, Kiyotoshi; Yamada, Naoyuki; Yuji, Reiko; Kawai, Misako; Uneyama, Hisayuki; Ono, Kentaro; Suzuki, Ei-ichiro; Torii, Kunio

    2009-01-01

    Proteome analysis is a popular method to discover biomarkers for the prevention and diagnosis of diseases. Since saliva is a non-invasively available body fluid, gathering of saliva causes minimal harm to patients. Therefore, detection of proteins for the prevention and diagnosis from the saliva sample may be the preferred method, especially for children and elderly people. However, the abundance of salivary proteins and contaminant proteins from food and mouth bacteria obscure identification of proteins present in the saliva at low concentrations. To address this problem, we developed a shotgun proteomic method using two-dimensional nano-flow LC tandem mass spectrometry. We report here that our method is able to detect proteins quantitatively even in small sample volumes of saliva. PMID:20224185

  2. The rat brain hippocampus proteome.

    PubMed

    Fountoulakis, Michael; Tsangaris, George T; Maris, Antony; Lubec, Gert

    2005-05-01

    The hippocampus is crucial in memory storage and retrieval and plays an important role in stress response. In humans, the CA1 area of hippocampus is one of the first brain areas to display pathology in Alzheimer's disease. A comprehensive analysis of the hippocampus proteome has not been accomplished yet. We applied proteomics technologies to construct a two-dimensional database for rat brain hippocampus proteins. Hippocampus samples from eight months old animals were analyzed by two-dimensional electrophoresis and the proteins were identified by matrix-assisted laser desorption ionization time-of-flight mass spectrometry. The database comprises 148 different gene products, which are in the majority enzymes, structural proteins and heat shock proteins. It also includes 39 neuron specific gene products. The database may be useful in animal model studies of neurological disorders. PMID:15797529

  3. Forensic Proteomics of Poxvirus Production

    SciTech Connect

    Wunschel, David S.; Tulman, Edan; Engelmann, Heather E.; Clowers, Brian H.; Geary, Steven J.; Robinson, Aaron C.; Liao, Xiaofen

    2013-08-27

    The field of microbial forensics has recently sought to develop methods to discern biological signatures to indicate production methods for biological agents. Viral agents have received less attention to date. Their obligate propagation in living cells makes purification from cellular material a challenge. This leads to potential carryover of protein-rich signature of their production system. Here we have explored a proteomic analysis of Vaccinia virus as a model poxvirus system in which to compare samples of virus propagated in different cell lines and subjected to different purification schemes. The proteomic data sets indicated viral, host cell and culture medium proteins, and several layers of data analysis were applied to build confidence in the peptide identification and capture information on the taxonomic utility of each. The analysis showed clear shifts in protein profiles with virus purification, with successive gradient purification steps showing different levels of viral protein enrichment. Peptides from cellular proteins, including those present in purified virus preparations, provided signatures which enabled discrimination of cell line substrates, including distinguishing between cells derived from different primate species. The ability to discern multiple aspects of viral production demonstrates the potential value of proteomic analysis as tool for microbial forensics.

  4. Proteomic Investigations into Hemodialysis Therapy

    PubMed Central

    Bonomini, Mario; Sirolli, Vittorio; Pieroni, Luisa; Felaco, Paolo; Amoroso, Luigi; Urbani, Andrea

    2015-01-01

    The retention of a number of solutes that may cause adverse biochemical/biological effects, called uremic toxins, characterizes uremic syndrome. Uremia therapy is based on renal replacement therapy, hemodialysis being the most commonly used modality. The membrane contained in the hemodialyzer represents the ultimate determinant of the success and quality of hemodialysis therapy. Membrane’s performance can be evaluated in terms of removal efficiency for unwanted solutes and excess fluid, and minimization of negative interactions between the membrane material and blood components that define the membrane’s bio(in)compatibility. Given the high concentration of plasma proteins and the complexity of structural functional relationships of this class of molecules, the performance of a membrane is highly influenced by its interaction with the plasma protein repertoire. Proteomic investigations have been increasingly applied to describe the protein uremic milieu, to compare the blood purification efficiency of different dialyzer membranes or different extracorporeal techniques, and to evaluate the adsorption of plasma proteins onto hemodialysis membranes. In this article, we aim to highlight investigations in the hemodialysis setting making use of recent developments in proteomic technologies. Examples are presented of why proteomics may be helpful to nephrology and may possibly affect future directions in renal research. PMID:26690416

  5. Protein Neighbors and Proximity Proteomics*

    PubMed Central

    Rees, Johanna S.; Li, Xue-Wen; Perrett, Sarah; Lilley, Kathryn S.; Jackson, Antony P.

    2015-01-01

    Within cells, proteins can co-assemble into functionally integrated and spatially restricted multicomponent complexes. Often, the affinities between individual proteins are relatively weak, and proteins within such clusters may interact only indirectly with many of their other protein neighbors. This makes proteomic characterization difficult using methods such as immunoprecipitation or cross-linking. Recently, several groups have described the use of enzyme-catalyzed proximity labeling reagents that covalently tag the neighbors of a targeted protein with a small molecule such as fluorescein or biotin. The modified proteins can then be isolated by standard pulldown methods and identified by mass spectrometry. Here we will describe the techniques as well as their similarities and differences. We discuss their applications both to study protein assemblies and to provide a new way for characterizing organelle proteomes. We stress the importance of proteomic quantitation and independent target validation in such experiments. Furthermore, we suggest that there are biophysical and cell-biological principles that dictate the appropriateness of enzyme-catalyzed proximity labeling methods to address particular biological questions of interest. PMID:26355100

  6. Human saliva proteome: an overview

    NASA Astrophysics Data System (ADS)

    Griffin, Timothy J.

    2014-06-01

    Human saliva contains a rich mixture of biomolecules. Proteins are a major component of this mixture. Given their role as the molecular effectors within biological systems, ranging from catalysis to transport to structure, proteins have great potential as biomarkers of health and disease. The ability to collect these salivary biomarkers easily using non-invasive means makes saliva proteins even more attractive for diagnostic applications. Thousands of proteins are now to be known to be present in human saliva - discovered using proteomic technologies. Emerging technologies are now making it possible to go beyond large-scale cataloging of salivary proteins. These include approaches to catalog protein contributions from the community of microorganisms residing in the oral cavity (metaproteomics) that may reflect the health state of the human host. New mass spectrometry-based proteomics methods are also emerging, shifting the emphasis from large-scale discovery experiments to hypothesis-driven assays for profiling proteins of interest within saliva, enabling validation of their association with specific health conditions. This paper provides a brief overview of efforts to catalog the proteome of human saliva. Recent developments making possible characterization of the metaproteome of human saliva will be discussed, and technologies driving new mass spectrometry-based assays for targeted analysis of proteins within complex samples, such as saliva.

  7. Cell wall proteomics of crops

    PubMed Central

    Komatsu, Setsuko; Yanagawa, Yuki

    2012-01-01

    Cell wall proteins play key roles in cell structure and metabolism, cell enlargement, signal transduction, responses to environmental stress, and many other physiological events. Agricultural crops are often used for investigating stress tolerance because cultivars with differing degrees of tolerance are available. Abiotic and biotic stress factors markedly influence the geographical distribution and yields of many crop species. Crop cell wall proteomics is of particular importance for improving crop productivity, particularly under unfavorable environmental conditions. To better understand the mechanisms underlying stress response in crops, cell wall proteomic analyses are being increasingly utilized. In this review, the methods of purification and purity assays of cell wall protein fractions from crops are described, and the results of protein identification using gel-based and gel-free proteomic techniques are presented. Furthermore, protein composition of the cell walls of rice, wheat, maize, and soybean are compared, and the role of cell wall proteins in crops under flooding and drought stress is discussed. This review will be useful for clarifying the role of the cell wall of crops in response to environmental stresses. PMID:23403621

  8. Proteomic patterns associated with heterosis.

    PubMed

    Xing, Jiewen; Sun, Qixin; Ni, Zhongfu

    2016-08-01

    Heterosis is characterized by higher seed yields, plant biomass or other traits in heterozygotes or hybrids compared with their genetically divergent parents, which are often homozygous. Despite extensive investigation of heterosis and its wide application in crops such as maize, rice, wheat and sorghum, its molecular basis is still enigmatic. In the past century, some pioneers have proposed multigene models referring to the complementation of allelic and gene expression variation, which is likely to be an important contributor to heterosis. In addition, there are potential interactions of epigenetic variation involved in heterosis via novel mechanisms. At the level of gene expression, many recent studies have revealed that the heterosis phenomenon can be deciphered not only at the transcriptional level but also at the proteomic level. This review presents an update on the information supporting the involvement of proteomic patterns in heterosis and a possible future direction of the field. This article is part of a Special Issue entitled: Plant Proteomics - a bridge between fundamental processes and crop production, edited by Dr. Hans-Peter Mock. PMID:26721744

  9. Protein Neighbors and Proximity Proteomics.

    PubMed

    Rees, Johanna S; Li, Xue-Wen; Perrett, Sarah; Lilley, Kathryn S; Jackson, Antony P

    2015-11-01

    Within cells, proteins can co-assemble into functionally integrated and spatially restricted multicomponent complexes. Often, the affinities between individual proteins are relatively weak, and proteins within such clusters may interact only indirectly with many of their other protein neighbors. This makes proteomic characterization difficult using methods such as immunoprecipitation or cross-linking. Recently, several groups have described the use of enzyme-catalyzed proximity labeling reagents that covalently tag the neighbors of a targeted protein with a small molecule such as fluorescein or biotin. The modified proteins can then be isolated by standard pulldown methods and identified by mass spectrometry. Here we will describe the techniques as well as their similarities and differences. We discuss their applications both to study protein assemblies and to provide a new way for characterizing organelle proteomes. We stress the importance of proteomic quantitation and independent target validation in such experiments. Furthermore, we suggest that there are biophysical and cell-biological principles that dictate the appropriateness of enzyme-catalyzed proximity labeling methods to address particular biological questions of interest. PMID:26355100

  10. Applications of Proteomic Technologies to Toxicology

    EPA Science Inventory

    Proteomics is the large-scale study of gene expression at the protein level. This cutting edge technology has been extensively applied to toxicology research recently. The up-to-date development of proteomics has presented the toxicology community with an unprecedented opportunit...

  11. Endosperm and Amyloplast Proteomes of Wheat Grain

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Advances in proteomics and genomics have improved our understanding of the gluten proteins, a complex and functionally important protein group. Proteomic approaches also have been used to identify other proteins that may play roles in wheat flour functionality, to assign genes for gluten proteins to...

  12. Global Proteome Analysis of Leptospira interrogans

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Comparative global proteome analyses were performed on Leptospira interrogans serovar Copenhageni grown under conventional in vitro conditions and those mimicking in vivo conditions (iron limitation and serum presence). Proteomic analyses were conducted using iTRAQ and LC-ESI-tandem mass spectrometr...

  13. Proteomics: Protein Identification Using Online Databases

    ERIC Educational Resources Information Center

    Eurich, Chris; Fields, Peter A.; Rice, Elizabeth

    2012-01-01

    Proteomics is an emerging area of systems biology that allows simultaneous study of thousands of proteins expressed in cells, tissues, or whole organisms. We have developed this activity to enable high school or college students to explore proteomic databases using mass spectrometry data files generated from yeast proteins in a college laboratory…

  14. Centennial Paper: Proteomics in animal science

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Proteomics holds significant promise as a method for advancing animal science research. The use of this technology in animal science is still in its infancy. The ability of proteomics to simultaneously identify and quantify potentially thousands of proteins is unparalleled. In this review, we wil...

  15. The promise of proteomics in animal science

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Proteomics hold significant promise as a method for advancing animal science research. The use of this technology in animal science is still in its infancy. The ability of proteomics to simultaneously identify and quantify potentially thousands of proteins is unparalleled. In this review, we will...

  16. Cell cycle: proteomics gives it a spin.

    PubMed

    Archambault, Vincent

    2005-08-01

    The eukaryotic cell division cycle has been studied at the molecular level for over 30 years, most fruitfully in model organisms. In the past 5 years, developments in mass spectrometry-based proteomics have been applied to the study of protein interactions and post-translational modifications involving key cell cycle regulators such as cyclin-dependent kinases and the anaphase-promoting complex, as well as effectors such as centrosomes, the kinetochore and DNA replication forks. In addition, innovations in chemical biology, functional proteomics and bioinformatics have been employed to study the cell cycle at the proteome level. This review surveys the contributions of proteomics to cell cycle research. The near future should see the application of more quantitative proteomic approaches to probe the dynamic aspects of the molecular system that underlie the cell cycle in model organisms and in human cells. PMID:16097893

  17. Accurate Mass Measurements in Proteomics

    SciTech Connect

    Liu, Tao; Belov, Mikhail E.; Jaitly, Navdeep; Qian, Weijun; Smith, Richard D.

    2007-08-01

    To understand different aspects of life at the molecular level, one would think that ideally all components of specific processes should be individually isolated and studied in details. Reductionist approaches, i.e., studying one biological event at a one-gene or one-protein-at-a-time basis, indeed have made significant contributions to our understanding of many basic facts of biology. However, these individual “building blocks” can not be visualized as a comprehensive “model” of the life of cells, tissues, and organisms, without using more integrative approaches.1,2 For example, the emerging field of “systems biology” aims to quantify all of the components of a biological system to assess their interactions and to integrate diverse types of information obtainable from this system into models that could explain and predict behaviors.3-6 Recent breakthroughs in genomics, proteomics, and bioinformatics are making this daunting task a reality.7-14 Proteomics, the systematic study of the entire complement of proteins expressed by an organism, tissue, or cell under a specific set of conditions at a specific time (i.e., the proteome), has become an essential enabling component of systems biology. While the genome of an organism may be considered static over short timescales, the expression of that genome as the actual gene products (i.e., mRNAs and proteins) is a dynamic event that is constantly changing due to the influence of environmental and physiological conditions. Exclusive monitoring of the transcriptomes can be carried out using high-throughput cDNA microarray analysis,15-17 however the measured mRNA levels do not necessarily correlate strongly with the corresponding abundances of proteins,18-20 The actual amount of functional proteins can be altered significantly and become independent of mRNA levels as a result of post-translational modifications (PTMs),21 alternative splicing,22,23 and protein turnover.24,25 Moreover, the functions of expressed

  18. Toxic metal proteomics: reaction of the mammalian zinc proteome with Cd²⁺.

    PubMed

    Namdarghanbari, Mohammad Ali; Bertling, Joseph; Krezoski, Susan; Petering, David H

    2014-07-01

    The hypothesis was tested that Cd(2+) undergoes measureable reaction with the Zn-proteome through metal ion exchange chemistry. The Zn-proteome of pig kidney LLC-PK1 cells is relatively inert to reaction with competing ligands, including Zinquin acid, EDTA, and apo-metallothionein. Upon reaction of Cd(2+) with the Zn-proteome, Cd(2+) associates with the proteome and near stoichiometric amounts of Zn(2+) become reactive with these chelating agents. The results strongly support the hypothesis that Cd(2+) displaces Zn(2+) from native proteomic binding sites resulting in the formation of a Cd-proteome. Mobilized Zn(2+) becomes adventitiously bound to proteome and available for reaction with added metal binding ligands. Cd-proteome and Zn-metallothionein readily exchange metal ions, raising the possibility that this reaction restores functionality to Cd-proteins. In a parallel experiment, cells were exposed to Cd(2+) and pyrithione briefly to generate substantial proteome-bound Cd(2+). Upon transition to a Cd(2+) free medium, the cells generated new metallothionein protein over time that bound most of the proteomic Cd(2+) as well as additional Zn(2+). PMID:24529759

  19. Subnuclear Proteomics in Colorectal Cancer

    PubMed Central

    Albrethsen, Jakob; Knol, Jaco C.; Piersma, Sander R.; Pham, Thang V.; de Wit, Meike; Mongera, Sandra; Carvalho, Beatriz; Verheul, Henk M. W.; Fijneman, Remond J. A.; Meijer, Gerrit A.; Jimenez, Connie R.

    2010-01-01

    Abnormalities in nuclear phenotype and chromosome structure are key features of cancer cells. Investigation of the protein determinants of nuclear subfractions in cancer may yield molecular insights into aberrant chromosome function and chromatin organization and in addition may yield biomarkers for early cancer detection. Here we evaluate a proteomics work flow for profiling protein constituents in subnuclear domains in colorectal cancer tissues and apply this work flow to a comparative analysis of the nuclear matrix fraction in colorectal adenoma and carcinoma tissue samples. First, we established the reproducibility of the entire work flow. In a reproducibility analysis of three nuclear matrix fractions independently isolated from the same colon tumor homogenate, 889 of 1,047 proteins (85%) were reproducibly identified at high confidence (minimally two peptides per protein at 99% confidence interval at the protein level) with an average coefficient of variance for the number of normalized spectral counts per protein of 30%. This indicates a good reproducibility of the entire work flow from biochemical isolation to nano-LC-MS/MS analysis. Second, using spectral counting combined with statistics, we identified proteins that are significantly enriched in the nuclear matrix fraction relative to two earlier fractions (the chromatin-binding and intermediate filament fractions) isolated from six colorectal tissue samples. The total data set contained 2,059 non-redundant proteins. Gene ontology mining and protein network analysis of nuclear matrix-enriched proteins revealed enrichment for proteins implicated in “RNA processing” and “mRNA metabolic process.” Finally, an explorative comparison of the nuclear matrix proteome in colorectal adenoma and carcinoma tissues revealed many proteins previously implicated in oncogenesis as well as new candidates. A subset of these differentially expressed proteins also exhibited a corresponding change at the mRNA level

  20. Characterizing the successful student in general chemistry and physical science classes in terms of Jung's personality types as identified by the Myers-Briggs Type Indicator

    NASA Astrophysics Data System (ADS)

    Riley, Wayne David

    1998-11-01

    A student's success in a science class can depend upon previous experiences, motivation, and the level of interest in the subject. Since psychological type is intrinsic to a person's whole being, it can be influential upon the student's motivation and interests. Thus, a study of student psychological types versus the level of success in a class, as measured by a percentage, has potential to uncover certain personality characteristics which may be helpful to or which may hinder a student's learning environment. This study was initiated, using the Myers-Briggs Type Indicator, to evaluate any correlation between a student's personality type and his/her performance in a science class. A total of 1041 students from three classes: Chemistry 121/122, Chemistry 112, Physical Science 100, volunteered for the study. An analysis of variance (ANOVA) was used to determine the levels of significance among sixteen personality types' averages. The results reveal that for the Chemistry 1121/122 course, the average score of the INTJ personality type was 5.1 to 12.6 points higher than every other personality type. The ANOVA identifies 3 personality types with averages significantly below the INTJ at the p < 0.05 significance level. The ANOVA analysis for the Chemistry 112 course identified significances between student scores at p = 0.08. The significance level for the differences among scores for the Physical Science 100 course was determined at a level of p = 0.02. Significance levels for p < 0.05 and <0.01 were identified between several groups in this course. The data suggest, that although personality type may not predict a particular student's success in a science class, students with certain personality traits may be favored in a chemistry class due the structure of the instruction and the presentation of the subject matter.

  1. Ultrasensitive proteome analysis using paramagnetic bead technology

    PubMed Central

    Hughes, Christopher S; Foehr, Sophia; Garfield, David A; Furlong, Eileen E; Steinmetz, Lars M; Krijgsveld, Jeroen

    2014-01-01

    In order to obtain a systems-level understanding of a complex biological system, detailed proteome information is essential. Despite great progress in proteomics technologies, thorough interrogation of the proteome from quantity-limited biological samples is hampered by inefficiencies during processing. To address these challenges, here we introduce a novel protocol using paramagnetic beads, termed Single-Pot Solid-Phase-enhanced Sample Preparation (SP3). SP3 provides a rapid and unbiased means of proteomic sample preparation in a single tube that facilitates ultrasensitive analysis by outperforming existing protocols in terms of efficiency, scalability, speed, throughput, and flexibility. To illustrate these benefits, characterization of 1,000 HeLa cells and single Drosophila embryos is used to establish that SP3 provides an enhanced platform for profiling proteomes derived from sub-microgram amounts of material. These data present a first view of developmental stage-specific proteome dynamics in Drosophila at a single-embryo resolution, permitting characterization of inter-individual expression variation. Together, the findings of this work position SP3 as a superior protocol that facilitates exciting new directions in multiple areas of proteomics ranging from developmental biology to clinical applications. PMID:25358341

  2. Proteomic Analysis of Chinese Hamster Ovary Cells

    PubMed Central

    Baycin-Hizal, Deniz; Tabb, David L.; Chaerkady, Raghothama; Chen, Lily; Lewis, Nathan E.; Nagarajan, Harish; Sarkaria, Vishaldeep; Kumar, Amit; Wolozny, Daniel; Colao, Joe; Jacobson, Elena; Tian, Yuan; O'Meally, Robert N.; Krag, Sharon S.; Cole, Robert N.; Palsson, Bernhard O.; Zhang, Hui; Betenbaugh, Michael

    2013-01-01

    In order to complement the recent genomic sequencing of Chinese hamster ovary (CHO) cells, proteomic analysis was performed on CHO including the cellular proteome, secretome, and glycoproteome using tandem mass spectrometry (MS/MS) of multiple fractions obtained from gel electrophoresis, multi-dimensional liquid chromatography, and solid phase extraction of glycopeptides (SPEG). From the 120 different mass spectrometry analyses generating 682,097 MS/MS spectra, 93,548 unique peptide sequences were identified with at most a 0.02 false discovery rate (FDR). A total of 6164 grouped proteins were identified from both glycoproteome and proteome analysis, representing an 8-fold increase in the number of proteins currently identified in the CHO proteome. Furthermore, this is the first proteomic study done using CHO genome exclusively which provides for more accurate identification of proteins. From this analysis, the CHO codon frequency was determined and found to be distinct from humans, which will facilitate expression of human proteins in CHO cells. Analysis of the combined proteomic and mRNA data sets indicated the enrichment of a number of pathways including protein processing and apoptosis but depletion of proteins involved in steroid hormone and glycosphingolipid metabolism. 504 of the detected proteins included N-acetylation modifications and 1292 different proteins were observed to be N-glycosylated. This first large-scale proteomic analysis will enhance the knowledge base about CHO capabilities for recombinant expression and provide information useful in cell engineering efforts aimed at modifying CHO cellular functions. PMID:22971049

  3. Proteomic analysis of Chinese hamster ovary cells.

    PubMed

    Baycin-Hizal, Deniz; Tabb, David L; Chaerkady, Raghothama; Chen, Lily; Lewis, Nathan E; Nagarajan, Harish; Sarkaria, Vishaldeep; Kumar, Amit; Wolozny, Daniel; Colao, Joe; Jacobson, Elena; Tian, Yuan; O'Meally, Robert N; Krag, Sharon S; Cole, Robert N; Palsson, Bernhard O; Zhang, Hui; Betenbaugh, Michael

    2012-11-01

    To complement the recent genomic sequencing of Chinese hamster ovary (CHO) cells, proteomic analysis was performed on CHO cells including the cellular proteome, secretome, and glycoproteome using tandem mass spectrometry (MS/MS) of multiple fractions obtained from gel electrophoresis, multidimensional liquid chromatography, and solid phase extraction of glycopeptides (SPEG). From the 120 different mass spectrometry analyses generating 682,097 MS/MS spectra, 93,548 unique peptide sequences were identified with at most 0.02 false discovery rate (FDR). A total of 6164 grouped proteins were identified from both glycoproteome and proteome analysis, representing an 8-fold increase in the number of proteins currently identified in the CHO proteome. Furthermore, this is the first proteomic study done using the CHO genome exclusively, which provides for more accurate identification of proteins. From this analysis, the CHO codon frequency was determined and found to be distinct from humans, which will facilitate expression of human proteins in CHO cells. Analysis of the combined proteomic and mRNA data sets indicated the enrichment of a number of pathways including protein processing and apoptosis but depletion of proteins involved in steroid hormone and glycosphingolipid metabolism. Five-hundred four of the detected proteins included N-acetylation modifications, and 1292 different proteins were observed to be N-glycosylated. This first large-scale proteomic analysis will enhance the knowledge base about CHO capabilities for recombinant expression and provide information useful in cell engineering efforts aimed at modifying CHO cellular functions. PMID:22971049

  4. Legume proteomics: Progress, prospects, and challenges.

    PubMed

    Rathi, Divya; Gayen, Dipak; Gayali, Saurabh; Chakraborty, Subhra; Chakraborty, Niranjan

    2016-01-01

    Legumes are the major sources of food and fodder with strong commercial relevance, and are essential components of agricultural ecosystems owing to their ability to carry out endosymbiotic nitrogen fixation. In recent years, legumes have become one of the major choices of plant research. The legume proteomics is currently represented by more than 100 reference maps and an equal number of stress-responsive proteomes. Among the 48 legumes in the protein databases, most proteomic studies have been accomplished in two model legumes, soybean, and barrel medic. This review highlights recent contributions in the field of legume proteomics to comprehend the defence and regulatory mechanisms during development and adaptation to climatic changes. Here, we attempted to provide a concise overview of the progress in legume proteomics and discuss future developments in three broad perspectives: (i) proteome of organs/tissues; (ii) subcellular compartments; and (iii) spatiotemporal changes in response to stress. Such data mining may aid in discovering potential biomarkers for plant growth, in general, apart from essential components involved in stress tolerance. The prospect of integrating proteome data with genome information from legumes will provide exciting opportunities for plant biologists to achieve long-term goals of crop improvement and sustainable agriculture. PMID:26563903

  5. Visualizing Meta-Features in Proteomic Maps

    PubMed Central

    2011-01-01

    Background The steps of a high-throughput proteomics experiment include the separation, differential expression and mass spectrometry-based identification of proteins. However, the last and more challenging step is inferring the biological role of the identified proteins through their association with interaction networks, biological pathways, analysis of the effect of post-translational modifications, and other protein-related information. Results In this paper, we present an integrative visualization methodology that allows combining experimentally produced proteomic features with protein meta-features, typically coming from meta-analysis tools and databases, in synthetic Proteomic Feature Maps. Using three proteomics analysis scenarios, we show that the proposed visualization approach is effective in filtering, navigating and interacting with the proteomics data in order to address visually challenging biological questions. The novelty of our approach lies in the ease of integration of any user-defined proteomic features in easy-to-comprehend visual representations that resemble the familiar 2D-gel images, and can be adapted to the user's needs. The main capabilities of the developed VIP software, which implements the presented visualization methodology, are also highlighted and discussed. Conclusions By using this visualization and the associated VIP software, researchers can explore a complex heterogeneous proteomics dataset from different perspectives in order to address visually important biological queries and formulate new hypotheses for further investigation. VIP is freely available at http://pelopas.uop.gr/~egian/VIP/index.html. PMID:21798033

  6. Brain Proteomics of Anopheles gambiae

    PubMed Central

    Dwivedi, Sutopa B.; Muthusamy, Babylakshmi; Kumar, Praveen; Kim, Min-Sik; Nirujogi, Raja Sekhar; Getnet, Derese; Ahiakonu, Priscilla; De, Gourav; Nair, Bipin; Gowda, Harsha; Prasad, T.S. Keshava; Kumar, Nirbhay

    2014-01-01

    Abstract Anopheles gambiae has a well-adapted system for host localization, feeding, and mating behavior, which are all governed by neuronal processes in the brain. However, there are no published reports characterizing the brain proteome to elucidate neuronal signaling mechanisms in the vector. To this end, a large-scale mapping of the brain proteome of An. gambiae was carried out using high resolution tandem mass spectrometry, revealing a repertoire of >1800 proteins, of which 15% could not be assigned any function. A large proportion of the identified proteins were predicted to be involved in diverse biological processes including metabolism, transport, protein synthesis, and olfaction. This study also led to the identification of 10 GPCR classes of proteins, which could govern sensory pathways in mosquitoes. Proteins involved in metabolic and neural processes, chromatin modeling, and synaptic vesicle transport associated with neuronal transmission were predominantly expressed in the brain. Proteogenomic analysis expanded our findings with the identification of 15 novel genes and 71 cases of gene refinements, a subset of which were validated by RT-PCR and sequencing. Overall, our study offers valuable insights into the brain physiology of the vector that could possibly open avenues for intervention strategies for malaria in the future. PMID:24937107

  7. Proteomics and the Inner Ear

    PubMed Central

    Thalmann, Isolde

    2001-01-01

    The inner ear, one of the most complex organs, contains within its bony shell three sensory systems, the evolutionary oldest gravity receptor system, the three semicircular canals for the detection of angular acceleration, and the auditory system - unrivaled in sensitivity and frequency discrimination. All three systems are susceptible to a host of afflictions affecting the quality of life for all of us. In the first part of this review we present an introduction to the milestones of inner ear research to pave the way for understanding the complexities of a proteomics approach to the ear. Minute sensory structures, surrounded by large fluid spaces and a hard bony shell, pose extreme challenges to the ear researcher. In spite of these obstacles, a powerful preparatory technique was developed, whereby precisely defined microscopic tissue elements can be isolated and analyzed, while maintaining the biochemical state representative of the in vivo conditions. The second part consists of a discussion of proteomics as a tool in the elucidation of basic and pathologic mechanisms, diagnosis of disease, as well as treatment. Examples are the organ of Corti proteins OCP1 and OCP2, oncomodulin, a highly specific calcium-binding protein, and several disease entities, Meniere's disease, benign paroxysmal positional vertigo, and perilymphatic fistula. PMID:11790893

  8. Bioinformatic challenges in targeted proteomics.

    PubMed

    Reker, Daniel; Malmström, Lars

    2012-09-01

    Selected reaction monitoring mass spectrometry is an emerging targeted proteomics technology that allows for the investigation of complex protein samples with high sensitivity and efficiency. It requires extensive knowledge about the sample for the many parameters needed to carry out the experiment to be set appropriately. Most studies today rely on parameter estimation from prior studies, public databases, or from measuring synthetic peptides. This is efficient and sound, but in absence of prior data, de novo parameter estimation is necessary. Computational methods can be used to create an automated framework to address this problem. However, the number of available applications is still small. This review aims at giving an orientation on the various bioinformatical challenges. To this end, we state the problems in classical machine learning and data mining terms, give examples of implemented solutions and provide some room for alternatives. This will hopefully lead to an increased momentum for the development of algorithms and serve the needs of the community for computational methods. We note that the combination of such methods in an assisted workflow will ease both the usage of targeted proteomics in experimental studies as well as the further development of computational approaches. PMID:22866949

  9. Neural Stem Cells (NSCs) and Proteomics*

    PubMed Central

    Shoemaker, Lorelei D.; Kornblum, Harley I.

    2016-01-01

    Neural stem cells (NSCs) can self-renew and give rise to the major cell types of the CNS. Studies of NSCs include the investigation of primary, CNS-derived cells as well as animal and human embryonic stem cell (ESC)-derived and induced pluripotent stem cell (iPSC)-derived sources. NSCs provide a means with which to study normal neural development, neurodegeneration, and neurological disease and are clinically relevant sources for cellular repair to the damaged and diseased CNS. Proteomics studies of NSCs have the potential to delineate molecules and pathways critical for NSC biology and the means by which NSCs can participate in neural repair. In this review, we provide a background to NSC biology, including the means to obtain them and the caveats to these processes. We then focus on advances in the proteomic interrogation of NSCs. This includes the analysis of posttranslational modifications (PTMs); approaches to analyzing different proteomic compartments, such the secretome; as well as approaches to analyzing temporal differences in the proteome to elucidate mechanisms of differentiation. We also discuss some of the methods that will undoubtedly be useful in the investigation of NSCs but which have not yet been applied to the field. While many proteomics studies of NSCs have largely catalogued the proteome or posttranslational modifications of specific cellular states, without delving into specific functions, some have led to understandings of functional processes or identified markers that could not have been identified via other means. Many challenges remain in the field, including the precise identification and standardization of NSCs used for proteomic analyses, as well as how to translate fundamental proteomics studies to functional biology. The next level of investigation will require interdisciplinary approaches, combining the skills of those interested in the biochemistry of proteomics with those interested in modulating NSC function. PMID:26494823

  10. Neural Stem Cells (NSCs) and Proteomics.

    PubMed

    Shoemaker, Lorelei D; Kornblum, Harley I

    2016-02-01

    Neural stem cells (NSCs) can self-renew and give rise to the major cell types of the CNS. Studies of NSCs include the investigation of primary, CNS-derived cells as well as animal and human embryonic stem cell (ESC)-derived and induced pluripotent stem cell (iPSC)-derived sources. NSCs provide a means with which to study normal neural development, neurodegeneration, and neurological disease and are clinically relevant sources for cellular repair to the damaged and diseased CNS. Proteomics studies of NSCs have the potential to delineate molecules and pathways critical for NSC biology and the means by which NSCs can participate in neural repair. In this review, we provide a background to NSC biology, including the means to obtain them and the caveats to these processes. We then focus on advances in the proteomic interrogation of NSCs. This includes the analysis of posttranslational modifications (PTMs); approaches to analyzing different proteomic compartments, such the secretome; as well as approaches to analyzing temporal differences in the proteome to elucidate mechanisms of differentiation. We also discuss some of the methods that will undoubtedly be useful in the investigation of NSCs but which have not yet been applied to the field. While many proteomics studies of NSCs have largely catalogued the proteome or posttranslational modifications of specific cellular states, without delving into specific functions, some have led to understandings of functional processes or identified markers that could not have been identified via other means. Many challenges remain in the field, including the precise identification and standardization of NSCs used for proteomic analyses, as well as how to translate fundamental proteomics studies to functional biology. The next level of investigation will require interdisciplinary approaches, combining the skills of those interested in the biochemistry of proteomics with those interested in modulating NSC function. PMID:26494823

  11. 1st Central and Eastern European Proteomic Conference and 3rd Czech Proteomic Conference.

    PubMed

    Kovarova, Hana; Gadher, Suresh Jivan; Archakov, Alexander

    2008-02-01

    The 1st Central and Eastern European Proteomic Conference was organized together with the 3rd Czech Proteomic Conference in the TOP Hotel, Prague in the Czech Republic from the 29th to the 31st October, 2007. The aim was to strengthen links with scientists from Central and Eastern Europe including Russia, which until now have been weak or nonexistent, and to highlight the emergence of excellent proteomic studies from various countries, which until now were not visible. PMID:18282121

  12. Accounting for population variation in targeted proteomics

    SciTech Connect

    Fujimoto, Grant M.; Monroe, Matthew E.; Rodriguez, Larissa M.; Wu, Chaochao; MacLean, Brendan; Smith, Richard D.; MacCoss, Michael; Payne, Samuel H.

    2014-01-03

    Individual proteomes typically differ from the reference human proteome at ~10,000 single amino acid variants. When viewed at the population scale, this individual variation results in a wide variety of protein sequences. In targeted proteomics experiments, such variability would confound accurate protein quantification. To facilitate researchers in identifying target peptides with high variability within the human population we have created the Population Variation plug-in for Skyline, which provides easy access to the polymorphisms stored in dbSNP. Given a set of peptides, the tool reports minor allele frequency for common polymorphisms. We highlight the importance of considering genetic variation by applying the tool to public datasets.

  13. Affinity Proteomics in the mountains: Alpbach 2015.

    PubMed

    Taussig, Michael J

    2016-09-25

    The 2015 Alpbach Workshop on Affinity Proteomics, organised by the EU AFFINOMICS consortium, was the 7th workshop in this series. As in previous years, the focus of the event was the current state of affinity methods for proteome analysis, including complementarity with mass spectrometry, progress in recombinant binder production methods, alternatives to classical antibodies as affinity reagents, analysis of proteome targets, industry focus on biomarkers, and diagnostic and clinical applications. The combination of excellent science with Austrian mountain scenery and winter sports engender an atmosphere that makes this series of workshops exceptional. The articles in this Special Issue represent a cross-section of the presentations at the 2015 meeting. PMID:27118167

  14. Proteomics: a subcellular look at spermatozoa

    PubMed Central

    2011-01-01

    Background Male-factor infertility presents a vexing problem for many reproductively active couples. Many studies have focused on abnormal sperm parameters. Recent advances in proteomic techniques, especially in mass spectrometry, have aided in the study of sperm and more specifically, sperm proteins. The aim of this study was to review the current literature on the various proteomic techniques, and their usefulness in diagnosing sperm dysfunction and potential applications in the clinical setting. Methods Review of PubMed database. Key words: spermatozoa, proteomics, protein, proteome, 2D-PAGE, mass spectrometry. Results Recently employed proteomic methods, such as two-dimensional polyacrylamide gel electrophoresis, mass spectrometry, and differential in gel electrophoresis, have identified numerous sperm-specific proteins. They also have provided a further understanding of protein function involved in sperm processes and for the differentiation between normal and abnormal states. In addition, studies on the sperm proteome have demonstrated the importance of post-translational modifications, and their ability to bring about physiological changes in sperm function. No longer do researchers believe that in order for them to elucidate the biochemical functions of genes, mere knowledge of the human genome sequence is sufficient. Moreover, a greater understanding of the physiological function of every protein in the tissue-specific proteome is essential in order to unravel the biological display of the human genome. Conclusion Recent advances in proteomic techniques have provided insight into sperm function and dysfunction. Several multidimensional separation techniques can be utilized to identify and characterize spermatozoa. Future developments in bioinformatics can further assist researchers in understanding the vast amount of data collected in proteomic studies. Moreover, such advances in proteomics may help to decipher metabolites which can act as biomarkers in

  15. Proteomics for Protein Expression Profiling in Neuroscience*

    PubMed Central

    Freeman, Willard M.; Hemby, Scott E.

    2013-01-01

    As the technology of proteomics moves from a theoretical approach to a practical reality, neuroscientists will have to determine the most appropriate applications for this technology. Neuroscientists will have to surmount difficulties particular to their research, such as limited sample amounts, heterogeneous cellular compositions in samples, and the fact that many proteins of interest are rare, hydrophobic proteins. This review examines protein isolation and protein fractionation and separation using two-dimensional electrophoresis (2-DE) and mass spectrometry proteomic methods. Methods for quantifying relative protein expression between samples (e.g., 2-DIGE, and ICAT) are also described. The coverage of the proteome, ability to detect membrane proteins, resource requirements, and quantitative reliability of different approaches is also discussed. Although there are many challenges in proteomic neuroscience, this field promises many rewards in the future. PMID:15176464

  16. The Mitochondrial Proteome and Human Disease

    PubMed Central

    Calvo, Sarah E.; Mootha, Vamsi K.

    2015-01-01

    For nearly three decades, the sequence of the human mitochondrial genome (mtDNA) has provided a molecular framework for understanding maternally inherited diseases. However, the vast majority of human mitochondrial disorders are caused by nuclear defects, which is not surprising since the mtDNA encodes only 13 proteins. Advances in genomics, mass spectrometry, and computation have only recently made it possible to systematically identify the complement of over 1,000 proteins that comprise the mammalian mitochondrial proteome. Here, we review recent progress in characterizing the mitochondrial proteome and highlight insights into its complexity, tissue heterogeneity, evolutionary origins, and biochemical versatility. We then discuss how this proteome is being used to discover the genetic basis of respiratory chain disorders as well as to expand our definition of mitochondrial disease. Finally, we explore future prospects and challenges for using the mitochondrial proteome as a foundation for systems analysis of the organelle. PMID:20690818

  17. Characterization of individual mouse cerebrospinal fluid proteomes

    SciTech Connect

    Smith, Jeffrey S.; Angel, Thomas E.; Chavkin, Charles; Orton, Daniel J.; Moore, Ronald J.; Smith, Richard D.

    2014-03-20

    Analysis of cerebrospinal fluid (CSF) offers key insight into the status of the central nervous system. Characterization of murine CSF proteomes can provide a valuable resource for studying central nervous system injury and disease in animal models. However, the small volume of CSF in mice has thus far limited individual mouse proteome characterization. Through non-terminal CSF extractions in C57Bl/6 mice and high-resolution liquid chromatography-mass spectrometry analysis of individual murine samples, we report the most comprehensive proteome characterization of individual murine CSF to date. Utilizing stringent protein inclusion criteria that required the identification of at least two unique peptides (1% false discovery rate at the peptide level) we identified a total of 566 unique proteins, including 128 proteins from three individual CSF samples that have been previously identified in brain tissue. Our methods and analysis provide a mechanism for individual murine CSF proteome analysis.

  18. Analysis of soybean seed proteins using proteomics

    Technology Transfer Automated Retrieval System (TEKTRAN)

    This editorial elaborates on investigations consisting of different proteomics technologies and their application to biological sciences. In addition, different classes of soybean seed proteins are discussed. This information will be useful to scientists in obtaining a greater understanding of the...

  19. The proteomics of pediatric brain tumors.

    PubMed

    Anagnostopoulos, Athanasios K; Tsangaris, George T

    2014-10-01

    Pediatric tumors of the CNS are the leading cause of cancer-related mortality in children. In pediatric pathology, brain tumors constitute the most frequent solid malignancy. An unparalleled outburst of information in pediatric neuro-oncology research has been witnessed over the last few years, largely due to increased use of high-throughput technologies such as genomics, proteomics and meta-analysis tools. Input from these technologies gives scientists the advantage of early prognosis assessment, more accurate diagnosis and prospective curative intent in the pediatric brain tumor clinical setting. The present review aims to summarize current knowledge on research applying proteomics techniques or proteomics-based approaches performed on pediatric brain tumors. Proteins that can be used as potential disease markers or molecular targets, and their biological significance, are herein listed and discussed. Furthermore, future perspectives that proteomics technologies may offer regarding this devastating disorder are presented. PMID:25059388

  20. Automation, parallelism, and robotics for proteomics.

    PubMed

    Alterovitz, Gil; Liu, Jonathan; Chow, Jijun; Ramoni, Marco F

    2006-07-01

    The speed of the human genome project (Lander, E. S., Linton, L. M., Birren, B., Nusbaum, C. et al., Nature 2001, 409, 860-921) was made possible, in part, by developments in automation of sequencing technologies. Before these technologies, sequencing was a laborious, expensive, and personnel-intensive task. Similarly, automation and robotics are changing the field of proteomics today. Proteomics is defined as the effort to understand and characterize proteins in the categories of structure, function and interaction (Englbrecht, C. C., Facius, A., Comb. Chem. High Throughput Screen. 2005, 8, 705-715). As such, this field nicely lends itself to automation technologies since these methods often require large economies of scale in order to achieve cost and time-saving benefits. This article describes some of the technologies and methods being applied in proteomics in order to facilitate automation within the field as well as in linking proteomics-based information with other related research areas. PMID:16786489

  1. Proteomic Analysis of Mesenchymal Stem Cells.

    PubMed

    Faça, Vitor Marcel; Orellana, Maristela Delgado; Greene, Lewis Joel; Covas, Dimas Tadeu

    2016-01-01

    Mesenchymal stem or stromal cells (MSCs) are of great interest in biomedical sciences and disease treatment because of their multipotency and wide range of applications for tissue repair and suppression of the immune system. Proteomic analysis of these unique cells has contributed to the identification of important pathways utilized by MSCs to differentiate into distinct tissues as well as important proteins responsible for their special function in vivo and in vitro. However, comparison of proteomic studies in MSCs still suffers from the heterogeneity of MSC preparations. In addition, as proteomics technology advances, several studies can be revisited in order to increase the depth of analysis and, therefore, elucidate more refined mechanisms involved in MSC functionalities. Here, we present detailed protocols to obtain MSCs, as well as protocols to perform in-depth profiling and quantification of alterations in MSC proteomes. PMID:27236693

  2. The Clinical Proteomic Technologies for Cancer | About

    Cancer.gov

    An objective of the Reagents and Resources component of NCI's Clinical Proteomic Technologies for Cancer Initiative is to generate highly characterized monoclonal antibodies to human proteins associated with cancer.

  3. The Clinical Proteomic Technologies for Cancer | Partners

    Cancer.gov

    An objective of the Reagents and Resources component of NCI's Clinical Proteomic Technologies for Cancer Initiative is to generate highly characterized monoclonal antibodies to human proteins associated with cancer.

  4. APPLICATION OF PROTEOMICS TO NEUTROPHIL BIOLOGY

    PubMed Central

    Luerman, Gregory C.; Uriarte, Silvia M.; Rane, Madhavi J.; McLeish, Kenneth R.

    2009-01-01

    Polymorphonuclear leukocytes or neutrophils are a primary effector cell of the innate immune system and contribute to the development of adaptive immunity. Neutrophils participate in both the initiation and resolution of inflammatory responses through a series of highly coordinated molecular and phenotypic changes. To accomplish these changes, neutrophils express numerous receptors and use multiple overlapping and redundant signal transduction pathways. Dysregulation of the activation or resolution pathways plays a role in a number of human diseases. A comprehensive understanding of the regulation of neutrophil responses can be provided by high throughput proteomic technologies and sophisticated computational analysis. The first steps in the application of proteomics to understanding neutrophil biology have been taken. Here we review the application of expression, structural, and functional proteomic studies to neutrophils. Although defining the complex molecular events associated with neutrophil activation is in the early stages, the data generated to date suggest that proteomic technologies will dramatically enhance our understanding of neutrophil biology. PMID:19580889

  5. Unexpected features of the dark proteome.

    PubMed

    Perdigão, Nelson; Heinrich, Julian; Stolte, Christian; Sabir, Kenneth S; Buckley, Michael J; Tabor, Bruce; Signal, Beth; Gloss, Brian S; Hammang, Christopher J; Rost, Burkhard; Schafferhans, Andrea; O'Donoghue, Seán I

    2015-12-29

    We surveyed the "dark" proteome-that is, regions of proteins never observed by experimental structure determination and inaccessible to homology modeling. For 546,000 Swiss-Prot proteins, we found that 44-54% of the proteome in eukaryotes and viruses was dark, compared with only ∼14% in archaea and bacteria. Surprisingly, most of the dark proteome could not be accounted for by conventional explanations, such as intrinsic disorder or transmembrane regions. Nearly half of the dark proteome comprised dark proteins, in which the entire sequence lacked similarity to any known structure. Dark proteins fulfill a wide variety of functions, but a subset showed distinct and largely unexpected features, such as association with secretion, specific tissues, the endoplasmic reticulum, disulfide bonding, and proteolytic cleavage. Dark proteins also had short sequence length, low evolutionary reuse, and few known interactions with other proteins. These results suggest new research directions in structural and computational biology. PMID:26578815

  6. Collaboration - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    Despite great strides in proteomics and the growing number of articles citing the discovery of potential biomarkers, the actual rate of introduction of Food and Drug Administration (FDA) approved protein analytes has been relatively unchanged over the past 10 years. One of reasons for the lack of new protein-based biomarkers approved has been a lack of information and understanding by the proteomics research community to the regulatory process used by the FDA.

  7. Innovative proteomic approaches for cancer biomarker discovery.

    PubMed

    Faca, Vitor; Krasnoselsky, Alexei; Hanash, Samir

    2007-09-01

    Substantial technological advances in proteomics and related computational science have been made in the past few years. These advances overcome in part the complexity and heterogeneity of the human proteome, permitting quantitative analysis and identification of protein changes associated with tumor development. Here, we discuss some of these advances that are uncovering new cancer biomarkers that have potential to detect cancer at early and curable stages and address remaining challenges. PMID:17907570

  8. Proteomic analysis of thylakoid membranes.

    PubMed

    Yadavalli, Venkateswarlu; Nellaepalli, Sreedhar; Subramanyam, Rajagopal

    2011-01-01

    Chlamydomonas is a model organism to study photosynthesis. Thylakoid membranes comprise several proteins belonging to photosystems I and II. In this chapter, we show the accurate proteomic measurements in thylakoid membranes. The chlorophyll-containing membrane protein complexes were precipitated using chloroform/methanol solution. These complexes were separated using two-dimensional gel electrophoresis, and the resolved spots were exercised from the gel matrix and digested with trypsin. These peptide fragments were separated by MALDI-TOF, and the isotopic masses were blasted to a MASCOT server to obtain the protein sequence. Matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF). The method discussed here would be a useful method for the separation and identification of thylakoid membrane proteins. PMID:20960129

  9. Embryology in the era of proteomics.

    PubMed

    Katz-Jaffe, M G; Gardner, D K

    2007-09-01

    Currently, relatively little is known regarding the protein production of mammalian embryos. Unlike the genome, the proteome itself is dynamic reflecting both internal and external environmental stimuli. Until now the lack of sensitivity has remained a stumbling block for the global introduction of proteomics into the field of mammalian embryology. However, new developments in mass spectrometry have been revolutionary, utilizing protein profiling and peptide sequencing to elucidate underlying biological processes. The sensitivity of these platforms have allowed for the development of new protocols that are capable of profiling the proteome of individual mammalian oocytes and embryos. This information is fundamental to unravelling the complexity of embryo physiology including the dialogue between the developing embryo and its maternal environment. Such proteomic approaches are also assisting in the optimization of ART techniques, including oocyte cryopreservation and in vitro maturation. Embryo selection for transfer is another area of ART that should benefit in this era of proteomics. Currently, mammalian embryos are selected for transfer based on morphological grading systems. Although of great value, analysis of morphology alone cannot determine the embryo's physiological state or chromosomal complement. Subsequently, there is a need to identify in culture those embryos with the highest implantation potential. Proteomic analysis of the embryonic secretome (proteins produced by the embryo and secreted into the surrounding medium) followed by the identification of specific proteins critical for implantation, may lead to the development of a non-invasive viability assay to assist in the selection of embryos for transfer. PMID:17477967

  10. Proteomics of survival structures of fungal pathogens.

    PubMed

    Loginov, Dmitry; Šebela, Marek

    2016-09-25

    Fungal pathogens are causal agents of numerous human, animal, and plant diseases. They employ various infection modes to overcome host defense systems. Infection mechanisms of different fungi have been subjected to many comprehensive studies. These investigations have been facilitated by the development of various '-omics' techniques, and proteomics has one of the leading roles in this regard. Fungal conidia and sclerotia could be considered the most important structures for pathogenesis as their germination is one of the first steps towards a host infection. They represent interesting objects for proteomic studies because of the presence of unique proteins with unexplored biotechnological potential required for pathogen viability, development and the subsequent host infection. Proteomic peculiarities of survival structures of different fungi, including those of biotechnological significance (e.g., Asperillus fumigatus, A. nidulans, Metarhizium anisopliae), in a dormant state, as well as changes in the protein production during early stages of fungal development are the subjects of the present review. We focused on biological aspects of proteomic studies of fungal survival structures rather than on an evaluation of proteomic approaches. For that reason, proteins that have been identified in this context are discussed from the point of view of their involvement in different biological processes and possible functions assigned to them. This is the first review paper summarizing recent advances in proteomics of fungal survival structures. PMID:26777984

  11. Proteomics: A new perspective for cancer.

    PubMed

    Shruthi, Basavaradhya Sahukar; Vinodhkumar, Palani; Selvamani

    2016-01-01

    In the past decades, several ground breaking discoveries in life science were made. The completion of sequencing the human genome certainly belongs to the key tasks successfully completed, representing a true milestone in the biomedicine. The accomplishment of the complete genome also brings along a new, even more challenging task for scientists: The characterization of the human proteome. Proteomics, the main tool for proteome research, is a relatively new and extremely dynamically evolving branch of science, focused on the evaluation of gene expression at proteome level. Due to the specific properties of proteins, current proteomics deals with different issues, such as protein identification, quantification, characterization of post-translational modification, structure and function elucidation, and description of possible interactions. This field incorporates technologies that can be applied to serum and tissue in order to extract important biological information in the form of biomarkers to aid clinicians and scientists in understanding the dynamic biology of their system of interest, such as a patient with cancer. The present review article provides a detail description of proteomics and its role in cancer research. PMID:27169098

  12. Proteomics: A new perspective for cancer

    PubMed Central

    Shruthi, Basavaradhya Sahukar; Vinodhkumar, Palani; Selvamani

    2016-01-01

    In the past decades, several ground breaking discoveries in life science were made. The completion of sequencing the human genome certainly belongs to the key tasks successfully completed, representing a true milestone in the biomedicine. The accomplishment of the complete genome also brings along a new, even more challenging task for scientists: The characterization of the human proteome. Proteomics, the main tool for proteome research, is a relatively new and extremely dynamically evolving branch of science, focused on the evaluation of gene expression at proteome level. Due to the specific properties of proteins, current proteomics deals with different issues, such as protein identification, quantification, characterization of post-translational modification, structure and function elucidation, and description of possible interactions. This field incorporates technologies that can be applied to serum and tissue in order to extract important biological information in the form of biomarkers to aid clinicians and scientists in understanding the dynamic biology of their system of interest, such as a patient with cancer. The present review article provides a detail description of proteomics and its role in cancer research. PMID:27169098

  13. Proteome map of the human hippocampus.

    PubMed

    Edgar, P F; Douglas, J E; Knight, C; Cooper, G J; Faull, R L; Kydd, R

    1999-01-01

    The proteins expressed by a genome have been termed the proteome. By comparing the proteome of a disease-affected tissue with the proteome of an unaffected tissue it is possible to identify proteins that play a role in a disease process. The hippocampus is involved in the processing of short-term memory and is affected in Alzheimer's disease. Any comparative proteome analysis that can identify proteins important in a disease affecting the hippocampus requires the characterization of the normal hippocampal proteome. Therefore, we homogenised normal hippocampal tissue and separated the proteins by two-dimensional polyacrylamide gel electrophoresis (2DE). Seventy-two unique protein spots were collected from Coomassie blue-stained 2DE gels and subjected to in-gel digestion with trypsin, reversed-phase high-pressure liquid chromatography peptide separation, and N-terminal protein sequencing. Sufficient protein sequence was obtained to successfully characterize 66 of the 72 protein spots chosen (92%). Three of the 66 proteins were not present in any database (4.5%). The characterized proteins comprised two dominant functional groups, i.e., enzymes involved in intermediary cellular metabolism (40%), and proteins associated with the cytoskeleton (15%). The identity, molecular mass, isoelectric point, and relative concentration of the characterized proteins are described and constitute a partial proteome map of the normal human hippocampus. PMID:10641757

  14. Proteogenomics Dashboard for the Human Proteome Project.

    PubMed

    Tabas-Madrid, Daniel; Alves-Cruzeiro, Joao; Segura, Victor; Guruceaga, Elizabeth; Vialas, Vital; Prieto, Gorka; García, Carlos; Corrales, Fernando J; Albar, Juan Pablo; Pascual-Montano, Alberto

    2015-09-01

    dasHPPboard is a novel proteomics-based dashboard that collects and reports the experiments produced by the Spanish Human Proteome Project consortium (SpHPP) and aims to help HPP to map the entire human proteome. We have followed the strategy of analog genomics projects like the Encyclopedia of DNA Elements (ENCODE), which provides a vast amount of data on human cell lines experiments. The dashboard includes results of shotgun and selected reaction monitoring proteomics experiments, post-translational modifications information, as well as proteogenomics studies. We have also processed the transcriptomics data from the ENCODE and Human Body Map (HBM) projects for the identification of specific gene expression patterns in different cell lines and tissues, taking special interest in those genes having little proteomic evidence available (missing proteins). Peptide databases have been built using single nucleotide variants and novel junctions derived from RNA-Seq data that can be used in search engines for sample-specific protein identifications on the same cell lines or tissues. The dasHPPboard has been designed as a tool that can be used to share and visualize a combination of proteomic and transcriptomic data, providing at the same time easy access to resources for proteogenomics analyses. The dasHPPboard can be freely accessed at: http://sphppdashboard.cnb.csic.es. PMID:26144527

  15. Setting the Standard in Proteomics - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    In a recently published article in the journal of Molecular and Cellular Proteomics, researchers outlined “best practices” for developing and publishing proteomic studies involving one of the field's signature state-of-the-art tools - targeted mass spectrometry (MS).

  16. Data from proteomic characterization and comparison of mammalian milk fat globule proteomes by iTRAQ analysis.

    PubMed

    Yang, Yongxin; Zheng, Nan; Zhao, Xiaowei; Zhang, Yangdong; Han, Rongwei; Ma, Lu; Zhao, Shengguo; Li, Songli; Guo, Tongjun; Wang, Jiaqi

    2015-06-01

    Milk fat globules memebrane (MFGM)-enriched proteomes from Holstein, Jersey, yak, buffalo, goat, camel, horse, and human were extracted and identified by an iTRAQ quantification proteomic approach. Proteomes data were analyzed by bioinformatic and multivariate statistical analysis and used to present the characteristic traits of the MFGM proteins among the studied mammals. The data of this study are also related to the research article "Proteomic characterization and comparison of mammalian milk fat globule proteomes by iTRAQ analysis" in the Journal of Proteomics [1]. PMID:26217709

  17. Optimizing Algorithm Choice for Metaproteomics: Comparing X!Tandem and Proteome Discoverer for Soil Proteomes

    NASA Astrophysics Data System (ADS)

    Diaz, K. S.; Kim, E. H.; Jones, R. M.; de Leon, K. C.; Woodcroft, B. J.; Tyson, G. W.; Rich, V. I.

    2014-12-01

    The growing field of metaproteomics links microbial communities to their expressed functions by using mass spectrometry methods to characterize community proteins. Comparison of mass spectrometry protein search algorithms and their biases is crucial for maximizing the quality and amount of protein identifications in mass spectral data. Available algorithms employ different approaches when mapping mass spectra to peptides against a database. We compared mass spectra from four microbial proteomes derived from high-organic content soils searched with two search algorithms: 1) Sequest HT as packaged within Proteome Discoverer (v.1.4) and 2) X!Tandem as packaged in TransProteomicPipeline (v.4.7.1). Searches used matched metagenomes, and results were filtered to allow identification of high probability proteins. There was little overlap in proteins identified by both algorithms, on average just ~24% of the total. However, when adjusted for spectral abundance, the overlap improved to ~70%. Proteome Discoverer generally outperformed X!Tandem, identifying an average of 12.5% more proteins than X!Tandem, with X!Tandem identifying more proteins only in the first two proteomes. For spectrally-adjusted results, the algorithms were similar, with X!Tandem marginally outperforming Proteome Discoverer by an average of ~4%. We then assessed differences in heat shock proteins (HSP) identification by the two algorithms by BLASTing identified proteins against the Heat Shock Protein Information Resource, because HSP hits typically account for the majority signal in proteomes, due to extraction protocols. Total HSP identifications for each of the 4 proteomes were approximately ~15%, ~11%, ~17%, and ~19%, with ~14% for total HSPs with redundancies removed. Of the ~15% average of proteins from the 4 proteomes identified as HSPs, ~10% of proteins and spectra were identified by both algorithms. On average, Proteome Discoverer identified ~9% more HSPs than X!Tandem.

  18. The Escherichia coli Peripheral Inner Membrane Proteome*

    PubMed Central

    Papanastasiou, Malvina; Orfanoudaki, Georgia; Koukaki, Marina; Kountourakis, Nikos; Sardis, Marios Frantzeskos; Aivaliotis, Michalis; Karamanou, Spyridoula; Economou, Anastassios

    2013-01-01

    Biological membranes are essential for cell viability. Their functional characteristics strongly depend on their protein content, which consists of transmembrane (integral) and peripherally associated membrane proteins. Both integral and peripheral inner membrane proteins mediate a plethora of biological processes. Whereas transmembrane proteins have characteristic hydrophobic stretches and can be predicted using bioinformatics approaches, peripheral inner membrane proteins are hydrophilic, exist in equilibria with soluble pools, and carry no discernible membrane targeting signals. We experimentally determined the cytoplasmic peripheral inner membrane proteome of the model organism Escherichia coli using a multidisciplinary approach. Initially, we extensively re-annotated the theoretical proteome regarding subcellular localization using literature searches, manual curation, and multi-combinatorial bioinformatics searches of the available databases. Next we used sequential biochemical fractionations coupled to direct identification of individual proteins and protein complexes using high resolution mass spectrometry. We determined that the proposed cytoplasmic peripheral inner membrane proteome occupies a previously unsuspected ∼19% of the basic E. coli BL21(DE3) proteome, and the detected peripheral inner membrane proteome occupies ∼25% of the estimated expressed proteome of this cell grown in LB medium to mid-log phase. This value might increase when fleeting interactions, not studied here, are taken into account. Several proteins previously regarded as exclusively cytoplasmic bind membranes avidly. Many of these proteins are organized in functional or/and structural oligomeric complexes that bind to the membrane with multiple interactions. Identified proteins cover the full spectrum of biological activities, and more than half of them are essential. Our data suggest that the cytoplasmic proteome displays remarkably dynamic and extensive communication with

  19. Director's Update - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    The National Cancer Institute’s Clinical Proteomic Tumor Analysis Consortium (NCI-CPTAC) has recently begun the proteomic interrogation of genomically-characterized tumors from The Cancer Genome Atlas.

  20. Proteomics: an efficient tool to analyze nematode proteins

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Proteomic technologies have been successfully used to analyze proteins structure and characterization in plants, animals, microbes and humans. We used proteomics methodologies to separate and characterize soybean cyst nematode (SCN) proteins. Optimizing the quantity of proteins required to separat...

  1. Letter from the Director - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    The NCI’s Clinical Proteomic Technologies for Cancer (CPTC) initiative is focused on developing a better understanding of cancer biology through the proteomic interrogation of genomically characterized tumors from sources such as The Cancer Genome Atlas.

  2. Proteomics beyond large-scale protein expression analysis.

    PubMed

    Boersema, Paul J; Kahraman, Abdullah; Picotti, Paola

    2015-08-01

    Proteomics is commonly referred to as the application of high-throughput approaches to protein expression analysis. Typical results of proteomics studies are inventories of the protein content of a sample or lists of differentially expressed proteins across multiple conditions. Recently, however, an explosion of novel proteomics workflows has significantly expanded proteomics beyond the analysis of protein expression. Targeted proteomics methods, for example, enable the analysis of the fine dynamics of protein systems, such as a specific pathway or a network of interacting proteins, and the determination of protein complex stoichiometries. Structural proteomics tools allow extraction of restraints for structural modeling and identification of structurally altered proteins on a proteome-wide scale. Other variations of the proteomic workflow can be applied to the large-scale analysis of protein activity, location, degradation and turnover. These exciting developments provide new tools for multi-level 'omics' analysis and for the modeling of biological networks in the context of systems biology studies. PMID:25636126

  3. Integrated Proteomic Approaches for Understanding Toxicity of Environmental Chemicals

    EPA Science Inventory

    To apply quantitative proteomic analysis to the evaluation of toxicity of environmental chemicals, we have developed an integrated proteomic technology platform. This platform has been applied to the analysis of the toxic effects and pathways of many important environmental chemi...

  4. Progress through Collaboration - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    The National Cancer Institute (NCI), through the Office of Cancer Clinical Proteomics Research (OCCPR), has signed two Memorandums of Understanding (MOUs) in the areas of sharing proteomics reagents and protocols and also in regulatory science.

  5. Role of Proteomics in the Development of Personalized Medicine.

    PubMed

    Jain, Kewal K

    2016-01-01

    Advances in proteomic technologies have made import contribution to the development of personalized medicine by facilitating detection of protein biomarkers, proteomics-based molecular diagnostics, as well as protein biochips and pharmacoproteomics. Application of nanobiotechnology in proteomics, nanoproteomics, has further enhanced applications in personalized medicine. Proteomics-based molecular diagnostics will have an important role in the diagnosis of certain conditions and understanding the pathomechanism of disease. Proteomics will be a good bridge between diagnostics and therapeutics; the integration of these will be important for advancing personalized medicine. Use of proteomic biomarkers and combination of pharmacoproteomics with pharmacogenomics will enable stratification of clinical trials and improve monitoring of patients for development of personalized therapies. Proteomics is an important component of several interacting technologies used for development of personalized medicine, which is depicted graphically. Finally, cancer is a good example of applications of proteomic technologies for personalized management of cancer. PMID:26827601

  6. Defining the human gallbladder proteome by transcriptomics and affinity proteomics.

    PubMed

    Kampf, Caroline; Mardinoglu, Adil; Fagerberg, Linn; Hallström, Björn M; Danielsson, Angelika; Nielsen, Jens; Pontén, Fredrik; Uhlen, Mathias

    2014-11-01

    Global protein analysis of human gallbladder tissue is vital for identification of molecular regulators and effectors of its physiological activity. Here, we employed a genome-wide deep RNA sequencing analysis in 28 human tissues to identify the genes overrepresented in the gallbladder and complemented it with antibody-based immunohistochemistry in 48 human tissues. We characterized human gallbladder proteins and identified 140 gallbladder-specific proteins with an elevated expression in the gallbladder as compared to the other analyzed tissues. Five genes were categorized as enriched, with at least fivefold higher levels in gallbladder, 60 genes were categorized as group enriched with elevated transcript levels in gallbladder shared with at least one other tissue and 75 genes were categorized as enhanced with higher expression than the average expression in other tissues. We explored the localization of the genes within the gallbladder through cell-type specific antibody-based protein profiling and the subcellular localization of the genes through immunofluorescent-based profiling. Finally, we revealed the biological processes and metabolic functions carried out by these genes through the use of GO, KEGG Pathway, and HMR2.0 that is compilation of the human metabolic reactions. We demonstrated the results of the combined analysis of the transcriptomics and affinity proteomics. PMID:25175928

  7. Medicinal chemistry meets proteomics: fractionation of the human plasma proteome.

    PubMed

    Kovàcs, A; Guttman, A

    2013-01-01

    Human plasma and its fractions/derivatives are frequently used materials in biomedicine as it contains thousands and thousands of proteins representing the majority of human proteome. Several important methods were developed in the past for the fractionation of this important biological fluid and its use for medicinal purposes. One of the greatest challenges is the very large dynamic range of plasma proteins ranging up to 10-12 orders of magnitude. Early attempts were mainly based on methods such as salting out or cold ethanol precipitation, as well as chromatography utilizing affinity, size exclusion, ion exchange and hydrophobic interaction techniques. More recently, fractionation applications started with the depletion of the high abundant plasma components, such as serum albumin and immunoglobulins, before isolating lower abundant proteins of interest. Plasma volumes were utilized from the milliliter scale for diagnostic applications to hundreds of liters for industrial scale plasma fractionation (e.g., medicinal product manufacturing). In this paper we review this important part of medicinal chemistry, highlighting the traditional methods along with some of their variations as well as the most significant recent achievements of the field. PMID:23244521

  8. Advances take stage - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    Regulatory advances in proteomics will be taking center stage at a Symposia scheduled to occur at the 2011 American Association for Clinical Chemistry (AACC) Annual Meeting. The symposium entitled "Enabling Translational Proteomics with NCI's Clinical Proteomic Technologies for Cancer" is scheduled for July 25, 2011 at AACC's annual Meeting.

  9. Tumor Cold Ischemia - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    In a recently published manuscript in the journal of Molecular and Cellular Proteomics, researchers from the National Cancer Institutes (NCI) Clinical Proteomic Tumor Analysis Consortium (CPTAC) investigated the effect of cold ischemia on the proteome of fresh frozen tumors.

  10. Caenorhabditis elegans proteomics comes of age.

    PubMed

    Shim, Yhong-Hee; Paik, Young-Ki

    2010-02-01

    Caenorhabditis elegans, a free-living soil nematode, is an ideal model system for studying various physiological problems relevant to human diseases. Despite its short history, C. elegans proteomics is receiving great attention in multiple research areas, including the genome annotation, major signaling pathways (e.g. TGF-beta and insulin/IGF-1 signaling), verification of RNA interference-mediated gene targeting, aging, disease models, as well as peptidomic analysis of neuropeptides involved in behavior and locomotion. For example, a proteome-wide profiling of developmental and aging processes not only provides basic information necessary for constructing a molecular network, but also identifies important target proteins for chemical modulation. Although C. elegans has a simple body system and neural circuitry, it exhibits very complicated functions ranging from feeding to locomotion. Investigation of these functions through proteomic analysis of various C. elegans neuropeptides, some of which are not found in the predicted genome sequence, would open a new field of peptidomics. Given the importance of nematode infection in plants and mammalian pathogenesis pathways, proteomics could be applied to investigate the molecular mechanisms underlying plant- or animal-nematode pathogenesis and to identify novel antinematodal drugs. Thus, C. elegans proteomics, in combination of other molecular, biological and genetic techniques, would provide a versatile new tool box for the systematic analysis of gene functions throughout the entire life cycle of this nematode. PMID:20029841

  11. Role of the proteome in phytohormonal signaling.

    PubMed

    Černý, Martin; Novák, Jan; Habánová, Hana; Cerna, Hana; Brzobohatý, Břetislav

    2016-08-01

    Phytohormones are orchestrators of plant growth and development. A lot of time and effort has been invested in attempting to comprehend their complex signaling pathways but despite success in elucidating some key components, molecular mechanisms in the transduction pathways are far from being resolved. The last decade has seen a boom in the analysis of phytohormone-responsive proteins. Abscisic acid, auxin, brassinosteroids, cytokinin, ethylene, gibberellins, nitric oxide, oxylipins, strigolactones, salicylic acid--all have been analyzed to various degrees. For this review, we collected data from proteome-wide analyses resulting in a list of over 2000 annotated proteins from Arabidopsis proteomics and nearly 500 manually filtered protein families merged from all the data available from different species. We present the currently accepted model of phytohormone signaling, highlight the contributions made by proteomic-based research and describe the key nodes in phytohormone signaling networks, as revealed by proteome analysis. These include ubiquitination and proteasome mediated degradation, calcium ion signaling, redox homeostasis, and phosphoproteome dynamics. Finally, we discuss potential pitfalls and future perspectives in the field. This article is part of a Special Issue entitled: Plant Proteomics--a bridge between fundamental processes and crop production, edited by Dr. Hans-Peter Mock. PMID:26721743

  12. Mass spectrometry in food proteomics: a tutorial.

    PubMed

    Cunsolo, Vincenzo; Muccilli, Vera; Saletti, Rosaria; Foti, Salvatore

    2014-09-01

    In the last decades, the continuous and rapid evolution of proteomic approaches has provided an efficient platform for the characterization of food-derived proteins. Particularly, the impressive increasing in performance and versatility of the MS instrumentation has contributed to the development of new analytical strategies for proteins, evidencing how MS arguably represents an indispensable tool in food proteomics. Investigation of protein composition in foodstuffs is helpful for understanding the relationship between the protein content and the nutritional and technological properties of foods, the production of methods for food traceability, the assessment of food quality and safety, including the detection of allergens and microbial contaminants in foods, or even the characterization of genetically modified products. Given the high variety of the food-derived proteins and considering their differences in chemical and physical properties, a single proteomic strategy for all purposes does not exist. Rather, proteomic approaches need to be adapted to each analytical problem, and development of new strategies is necessary in order to obtain always the best results. In this tutorial, the most relevant aspects of MS-based methodologies in food proteomics will be examined, and their advantages and drawbacks will be discussed. PMID:25230173

  13. Pathway and Network Analysis in Proteomics

    PubMed Central

    Wu, Xiaogang; Hasan, Mohammad Al; Chen, Jake Yue

    2014-01-01

    Proteomics is inherently a systems science that studies not only measured protein and their expressions in a cell, but also the interplay of proteins, protein complexes, signaling pathways, and network modules. There is a rapid accumulation of Proteomics data in recent years. However, Proteomics data are highly variable, with results being sensitive to data preparation methods, sample condition, instrument types, and analytical method. To address this challenge in Proteomics data analysis, we review common approaches developed to incorporate biological function and network topological information. We categorize existing tools into four categories: tools with basic functional information and little topological features (e.g., GO category analysis), tools with rich functional information and little topological features (e.g., GSEA), tools with basic functional information and rich topological features (e.g., Cytoscape), and tools with rich functional information and rich topological features (e.g., PathwayExpress). We review the general application potential of these tools to Proteomics. In addition, we also review tools that can achieve automated learning of pathway modules and features, and tools that help perform integrated network visual analytics. PMID:24911777

  14. Application of Proteomics to Soft Tissue Sarcomas

    PubMed Central

    Kondo, Tadashi; Kubota, Daisuke; Kawai, Akira

    2012-01-01

    Soft tissue sarcomas are rare and account for less than 1% of all malignant cancers. Other than development of intensive therapies, the clinical outcome of patients with soft tissue sarcoma remains very poor, particularly when diagnosed at a late stage. Unique mutations have been associated with certain soft tissue sarcomas, but their etiologies remain unknown. The proteome is a functional translation of a genome, which directly regulates the malignant features of tumors. Thus, proteomics is a promising approach for investigating soft tissue sarcomas. Various proteomic approaches and clinical materials have been used to address clinical and biological issues, including biomarker development, molecular target identification, and study of disease mechanisms. Several cancer-associated proteins have been identified using conventional technologies such as 2D-PAGE, mass spectrometry, and array technology. The functional backgrounds of proteins identified were assessed extensively using in vitro experiments, thus supporting expression analysis. These observations demonstrate the applicability of proteomics to soft tissue sarcoma studies. However, the sample size in each study was insufficient to allow conclusive results. Given the low frequency of soft tissue sarcomas, multi-institutional collaborations are required to validate the results of proteomic approaches. PMID:22778956

  15. Pathway and network analysis in proteomics.

    PubMed

    Wu, Xiaogang; Hasan, Mohammad Al; Chen, Jake Yue

    2014-12-01

    Proteomics is inherently a systems science that studies not only measured protein and their expressions in a cell, but also the interplay of proteins, protein complexes, signaling pathways, and network modules. There is a rapid accumulation of Proteomics data in recent years. However, Proteomics data are highly variable, with results sensitive to data preparation methods, sample condition, instrument types, and analytical methods. To address the challenge in Proteomics data analysis, we review current tools being developed to incorporate biological function and network topological information. We categorize these tools into four types: tools with basic functional information and little topological features (e.g., GO category analysis), tools with rich functional information and little topological features (e.g., GSEA), tools with basic functional information and rich topological features (e.g., Cytoscape), and tools with rich functional information and rich topological features (e.g., PathwayExpress). We first review the potential application of these tools to Proteomics; then we review tools that can achieve automated learning of pathway modules and features, and tools that help perform integrated network visual analytics. PMID:24911777

  16. Proteomics in Argentina - limitations and future perspectives: A special emphasis on meat proteomics.

    PubMed

    Fadda, Silvina; Almeida, André M

    2015-11-01

    Argentina is one of the most relevant countries in Latin America, playing a major role in regional economics, culture and science. Over the last 80 years, Argentinean history has been characterized by several upward and downward phases that had major consequences on the development of science in the country and most recently on proteomics. In this article, we characterize the evolution of Proteomics sciences in Argentina over the last decade and a half. We describe the proteomics publication output of the country in the framework of the regional and international contexts, demonstrating that Argentina is solidly anchored in a regional context, showing results similar to other emergent and Latin American countries, albeit still far from the European, American or Australian realities. We also provide a case-study on the importance of Proteomics to a specific sector in the area of food science: the use of bacteria of technological interest, highlighting major achievements obtained by Argentinean proteomics scientists. Finally, we provide a general picture of the endeavors being undertaken by Argentinean Proteomics scientists and their international collaborators to promote the Proteomics-based research with the new generation of scientists and PhD students in both Argentina and other countries in the Southern cone. PMID:26306575

  17. Making proteomics data accessible and reusable: Current state of proteomics databases and repositories

    PubMed Central

    Perez-Riverol, Yasset; Alpi, Emanuele; Wang, Rui; Hermjakob, Henning; Vizcaíno, Juan Antonio

    2015-01-01

    Compared to other data-intensive disciplines such as genomics, public deposition and storage of MS-based proteomics, data are still less developed due to, among other reasons, the inherent complexity of the data and the variety of data types and experimental workflows. In order to address this need, several public repositories for MS proteomics experiments have been developed, each with different purposes in mind. The most established resources are the Global Proteome Machine Database (GPMDB), PeptideAtlas, and the PRIDE database. Additionally, there are other useful (in many cases recently developed) resources such as ProteomicsDB, Mass Spectrometry Interactive Virtual Environment (MassIVE), Chorus, MaxQB, PeptideAtlas SRM Experiment Library (PASSEL), Model Organism Protein Expression Database (MOPED), and the Human Proteinpedia. In addition, the ProteomeXchange consortium has been recently developed to enable better integration of public repositories and the coordinated sharing of proteomics information, maximizing its benefit to the scientific community. Here, we will review each of the major proteomics resources independently and some tools that enable the integration, mining and reuse of the data. We will also discuss some of the major challenges and current pitfalls in the integration and sharing of the data. PMID:25158685

  18. Proteomic Analysis of Hair Follicles

    NASA Astrophysics Data System (ADS)

    Ishioka, Noriaki; Terada, Masahiro; Yamada, Shin; Seki, Masaya; Takahashi, Rika; Majima, Hideyuki J.; Higashibata, Akira; Mukai, Chiaki

    2013-02-01

    Hair root cells actively divide in a hair follicle, and they sensitively reflect physical conditions. By analyzing the human hair, we can know stress levels on the human body and metabolic conditions caused by microgravity environment and cosmic radiation. The Japan Aerospace Exploration Agency (JAXA) has initiated a human research study to investigate the effects of long-term space flight on gene expression and mineral metabolism by analyzing hair samples of astronauts who stayed in the International Space Station (ISS) for 6 months. During long-term flights, the physiological effects on astronauts include muscle atrophy and bone calcium loss. Furthermore, radiation and psychological effects are important issue to consider. Therefore, an understanding of the effects of the space environment is important for developing countermeasures against the effects experienced by astronauts. In this experiment, we identify functionally important target proteins that integrate transcriptome, mineral metabolism and proteome profiles from human hair. To compare the protein expression data with the gene expression data from hair roots, we developed the protein processing method. We extracted the protein from five strands of hair using ISOGEN reagents. Then, these extracted proteins were analyzed by LC-MS/MS. These collected profiles will give us useful physiological information to examine the effect of space flight.

  19. Proteomics Signature Profiling (PSP): A Novel Contextualization Approach for Cancer Proteomics

    PubMed Central

    2012-01-01

    Traditional proteomics analysis is plagued by the use of arbitrary thresholds resulting in large loss of information. We propose here a novel method in proteomics that utilizes all detected proteins. We demonstrate its efficacy in a proteomics screen of 5 and 7 liver cancer patients in the moderate and late stage, respectively. Utilizing biological complexes as a cluster vector, and augmenting it with submodules obtained from partitioning an integrated and cleaned protein–protein interaction network, we calculate a Proteomics Signature Profile (PSP) for each patient based on the hit rates of their reported proteins, in the absence of fold change thresholds, against the cluster vector. Using this, we demonstrated that moderate- and late-stage patients segregate with high confidence. We also discovered a moderate-stage patient who displayed a proteomics profile similar to other poor-stage patients. We identified significant clusters using a modified version of the SNet approach. Comparing our results against the Proteomics Expansion Pipeline (PEP) on which the same patient data was analyzed, we found good correlation. Building on this finding, we report significantly more clusters (176 clusters here compared to 70 in PEP), demonstrating the sensitivity of this approach. Gene Ontology (GO) terms analysis also reveals that the significant clusters are functionally congruent with the liver cancer phenotype. PSP is a powerful and sensitive method for analyzing proteomics profiles even when sample sizes are small. It does not rely on the ratio scores but, rather, whether a protein is detected or not. Although consistency of individual proteins between patients is low, we found the reported proteins tend to hit clusters in a meaningful and informative manner. By extracting this information in the form of a Proteomics Signature Profile, we confirm that this information is conserved and can be used for (1) clustering of patient samples, (2) identification of significant

  20. University of Victoria Genome British Columbia Proteomics Centre Partners with CPTAC - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    University of Victoria Genome British Columbia Proteomics Centre, a leader in proteomic technology development, has partnered with the U.S. National Cancer Institute (NCI) to make targeted proteomic assays accessible to the community through NCI’s CPTAC Assay Portal.

  1. Expanding the mouse embryonic stem cell proteome: Combining three proteomic approaches

    PubMed Central

    Gundry, Rebekah L.; Tchernyshyov, Irina; Sheng, Shijun; Tarasova, Yelena; Raginski, Kimberly; Boheler, Kenneth R.; Van Eyk, Jennifer E.

    2010-01-01

    The current study used three different proteomic strategies, which differed by their extent of intact protein separation, to examine the proteome of a pluripotent mouse embryonic stem cell line, R1. Proteins from whole-cell lysates were subjected either to 2-D-LC, or 1-DE, or were unfractionated prior to enzymatic digestion and subsequent analysis by MS. The results yielded 1895 identified non-redundant proteins and, for 128 of these, the specific isoform could be determined based on detection of an isoform-specific peptide. When compared with two previously published proteomic studies that used the same cell line, the current study reveals 612 new proteins. PMID:20512790

  2. Postgenomics: Proteomics and Bioinformatics in Cancer Research

    PubMed Central

    2003-01-01

    Now that the human genome is completed, the characterization of the proteins encoded by the sequence remains a challenging task. The study of the complete protein complement of the genome, the “proteome,” referred to as proteomics, will be essential if new therapeutic drugs and new disease biomarkers for early diagnosis are to be developed. Research efforts are already underway to develop the technology necessary to compare the specific protein profiles of diseased versus nondiseased states. These technologies provide a wealth of information and rapidly generate large quantities of data. Processing the large amounts of data will lead to useful predictive mathematical descriptions of biological systems which will permit rapid identification of novel therapeutic targets and identification of metabolic disorders. Here, we present an overview of the current status and future research approaches in defining the cancer cell's proteome in combination with different bioinformatics and computational biology tools toward a better understanding of health and disease. PMID:14615629

  3. Plant nuclear proteomics for unraveling physiological function.

    PubMed

    Yin, Xiaojian; Komatsu, Setsuko

    2016-09-25

    The nucleus is the subcellular organelle that functions as the regulatory hub of the cell and is responsible for regulating several critical cellular functions, including cell proliferation, gene expression, and cell survival. Nuclear proteomics is a useful approach for investigating the mechanisms underlying plant responses to abiotic stresses, including protein-protein interactions, enzyme activities, and post-translational modifications. Among abiotic stresses, flooding is a major limiting factor for plant growth and yields, particularly for soybean. In this review, plant nuclei purification methods, modifications of plant nuclear proteins, and recent contributions to the field of plant nuclear proteomics are summarized. In addition, to reveal the upstream regulating mechanisms controlling soybean responses to flooding stress, the functions of flooding-responsive nuclear proteins are reviewed based on the results of nuclear proteomic analysis of soybean in the early stages of flooding stress. PMID:27004615

  4. Label-Free Quantitative Proteomics in Yeast.

    PubMed

    Léger, Thibaut; Garcia, Camille; Videlier, Mathieu; Camadro, Jean-Michel

    2016-01-01

    Label-free bottom-up shotgun MS-based proteomics is an extremely powerful and simple tool to provide high quality quantitative analyses of the yeast proteome with only microgram amounts of total protein. Although the experimental design of this approach is rather straightforward and does not require the modification of growth conditions, proteins or peptides, several factors must be taken into account to benefit fully from the power of this method. Key factors include the choice of an appropriate method for the preparation of protein extracts, careful evaluation of the instrument design and available analytical capabilities, the choice of the quantification method (intensity-based vs. spectral count), and the proper manipulation of the selected quantification algorithm. The elaboration of this robust workflow for data acquisition, processing, and analysis provides unprecedented insight into the dynamics of the yeast proteome. PMID:26483028

  5. Proteomic profiling of skeletal muscle plasticity

    PubMed Central

    Ohlendieck, Kay

    2011-01-01

    Summary One of the most striking physiological features of skeletal muscle tissues are their enormous capacity to adapt to changed functional demands. Muscle plasticity has been extensively studied by histological, biochemical, physiological and genetic methods over the last few decades. With the recent emergence of high-throughput and large-scale proteomic techniques, mass spectrometry-based surveys have also been applied to the global analysis of the skeletal muscle protein complement during physiological modifications and pathophysiological alterations. This review outlines and discusses the impact of recent proteomic profiling studies of skeletal muscle transitions, including the effects of chronic electro-stimulation, physical exercise, denervation, disuse atrophy, hypoxia, myotonia, motor neuron disease and age-related fibre type shifting. This includes studies on the human skeletal muscle proteome, animal models of muscle plasticity and major neuromuscular pathologies. The biomedical importance of establishing reliable biomarker signatures for the various molecular and cellular transition phases involved in muscle transformation is critically examined. PMID:23738259

  6. Systems proteomics of liver mitochondria function.

    PubMed

    Williams, Evan G; Wu, Yibo; Jha, Pooja; Dubuis, Sébastien; Blattmann, Peter; Argmann, Carmen A; Houten, Sander M; Amariuta, Tiffany; Wolski, Witold; Zamboni, Nicola; Aebersold, Ruedi; Auwerx, Johan

    2016-06-10

    Recent improvements in quantitative proteomics approaches, including Sequential Window Acquisition of all Theoretical Mass Spectra (SWATH-MS), permit reproducible large-scale protein measurements across diverse cohorts. Together with genomics, transcriptomics, and other technologies, transomic data sets can be generated that permit detailed analyses across broad molecular interaction networks. Here, we examine mitochondrial links to liver metabolism through the genome, transcriptome, proteome, and metabolome of 386 individuals in the BXD mouse reference population. Several links were validated between genetic variants toward transcripts, proteins, metabolites, and phenotypes. Among these, sequence variants in Cox7a2l alter its protein's activity, which in turn leads to downstream differences in mitochondrial supercomplex formation. This data set demonstrates that the proteome can now be quantified comprehensively, serving as a key complement to transcriptomics, genomics, and metabolomics--a combination moving us forward in complex trait analysis. PMID:27284200

  7. Comparative proteomics and difference gel electrophoresis.

    PubMed

    Minden, Jonathan

    2007-12-01

    The goal of comparative proteomics is to analyze proteome changes in response to development, disease, or environment. This is a two-step process in which proteins within cellular extracts are first fractionated to reduce sample complexity, and then the proteins are identified by mass spectrometry. Two-dimensional electrophoresis (2DE) is the long-time standard for protein separation, but it has suffered from poor reproducibility and limited sensitivity. Difference gel electrophoresis (DIGE), in which two protein samples are separately labeled with different fluorescent dyes and then co-electrophoresed on the same 2DE gel, was developed to overcome the reproducibility and sensitivity limitations. In this essay, I discuss the principles of comparative proteomics and the development of DIGE. PMID:18251249

  8. Human pathogenic streptococcal proteomics and vaccine development.

    PubMed

    Cole, Jason N; Henningham, Anna; Gillen, Christine M; Ramachandran, Vidiya; Walker, Mark J

    2008-03-01

    Gram-positive streptococci are non-motile, chain-forming bacteria commonly found in the normal oral and bowel flora of warm-blooded animals. Over the past decade, a proteomic approach combining 2-DE and MS has been used to systematically map the cellular, surface-associated and secreted proteins of human pathogenic streptococcal species. The public availability of complete streptococcal genomic sequences and the amalgamation of proteomic, genomic and bioinformatic technologies have recently facilitated the identification of novel streptococcal vaccine candidate antigens and therapeutic agents. The objective of this review is to examine the constituents of the streptococcal cell wall and secreted proteome, the mechanisms of transport of surface and secreted proteins, and describe the current methodologies employed for the identification of novel surface-displayed proteins and potential vaccine antigens. PMID:21136841

  9. A Review: Proteomics in Nasopharyngeal Carcinoma

    PubMed Central

    Chen, Ze-Tan; Liang, Zhong-Guo; Zhu, Xiao-Dong

    2015-01-01

    Although radiotherapy is generally effective in the treatment of major nasopharyngeal carcinoma (NPC), this treatment still makes approximately 20% of patients radioresistant. Therefore, the identification of blood or biopsy biomarkers that can predict the treatment response to radioresistance and that can diagnosis early stages of NPC would be highly useful to improve this situation. Proteomics is widely used in NPC for searching biomarkers and comparing differentially expressed proteins. In this review, an overview of proteomics with different samples related to NPC and common proteomics methods was made. In conclusion, identical proteins are sorted as follows: Keratin is ranked the highest followed by such proteins as annexin, heat shock protein, 14-3-3σ, nm-23 protein, cathepsin, heterogeneous nuclear ribonucleoproteins, enolase, triosephosphate isomerase, stathmin, prohibitin, and vimentin. This ranking indicates that these proteins may be NPC-related proteins and have potential value for further studies. PMID:26184160

  10. A comprehensive compilation of SUMO proteomics.

    PubMed

    Hendriks, Ivo A; Vertegaal, Alfred C O

    2016-09-01

    Small ubiquitin-like modifiers (SUMOs) are essential for the regulation of several cellular processes and are potential therapeutic targets owing to their involvement in diseases such as cancer and Alzheimer disease. In the past decade, we have witnessed a rapid expansion of proteomic approaches for identifying sumoylated proteins, with recent advances in detecting site-specific sumoylation. In this Analysis, we combined all human SUMO proteomics data currently available into one cohesive database. We provide proteomic evidence for sumoylation of 3,617 proteins at 7,327 sumoylation sites, and insight into SUMO group modification by clustering the sumoylated proteins into functional networks. The data support sumoylation being a frequent protein modification (on par with other major protein modifications) with multiple nuclear functions, including in transcription, mRNA processing, DNA replication and the DNA-damage response. PMID:27435506

  11. Unexpected features of the dark proteome

    PubMed Central

    Perdigão, Nelson; Heinrich, Julian; Stolte, Christian; Sabir, Kenneth S.; Buckley, Michael J.; Tabor, Bruce; Signal, Beth; Gloss, Brian S.; Hammang, Christopher J.; Rost, Burkhard; Schafferhans, Andrea

    2015-01-01

    We surveyed the “dark” proteome–that is, regions of proteins never observed by experimental structure determination and inaccessible to homology modeling. For 546,000 Swiss-Prot proteins, we found that 44–54% of the proteome in eukaryotes and viruses was dark, compared with only ∼14% in archaea and bacteria. Surprisingly, most of the dark proteome could not be accounted for by conventional explanations, such as intrinsic disorder or transmembrane regions. Nearly half of the dark proteome comprised dark proteins, in which the entire sequence lacked similarity to any known structure. Dark proteins fulfill a wide variety of functions, but a subset showed distinct and largely unexpected features, such as association with secretion, specific tissues, the endoplasmic reticulum, disulfide bonding, and proteolytic cleavage. Dark proteins also had short sequence length, low evolutionary reuse, and few known interactions with other proteins. These results suggest new research directions in structural and computational biology. PMID:26578815

  12. Integrated Analysis of Transcriptomic and Proteomic Data

    PubMed Central

    Haider, Saad; Pal, Ranadip

    2013-01-01

    Until recently, understanding the regulatory behavior of cells has been pursued through independent analysis of the transcriptome or the proteome. Based on the central dogma, it was generally assumed that there exist a direct correspondence between mRNA transcripts and generated protein expressions. However, recent studies have shown that the correlation between mRNA and Protein expressions can be low due to various factors such as different half lives and post transcription machinery. Thus, a joint analysis of the transcriptomic and proteomic data can provide useful insights that may not be deciphered from individual analysis of mRNA or protein expressions. This article reviews the existing major approaches for joint analysis of transcriptomic and proteomic data. We categorize the different approaches into eight main categories based on the initial algorithm and final analysis goal. We further present analogies with other domains and discuss the existing research problems in this area. PMID:24082820

  13. Proteomic Technologies for the Study of Osteosarcoma

    PubMed Central

    Byrum, Stephanie D.; Washam, Charity L.; Montgomery, Corey O.; Tackett, Alan J.; Suva, Larry J.

    2012-01-01

    Osteosarcoma is the most common primary bone cancer of children and is established during stages of rapid bone growth. The disease is a consequence of immature osteoblast differentiation, which gives way to a rapidly synthesized incompletely mineralized and disorganized bone matrix. The mechanism of osteosarcoma tumorogenesis is poorly understood, and few proteomic studies have been used to interrogate the disease thus far. Accordingly, these studies have identified proteins that have been known to be associated with other malignancies, rather than being osteosarcoma specific. In this paper, we focus on the growing list of available state-of-the-art proteomic technologies and their specific application to the discovery of novel osteosarcoma diagnostic and therapeutic targets. The current signaling markers/pathways associated with primary and metastatic osteosarcoma that have been identified by early-stage proteomic technologies thus far are also described. PMID:22550414

  14. Proteomic profiling of skeletal muscle plasticity.

    PubMed

    Ohlendieck, Kay

    2011-10-01

    One of the most striking physiological features of skeletal muscle tissues are their enormous capacity to adapt to changed functional demands. Muscle plasticity has been extensively studied by histological, biochemical, physiological and genetic methods over the last few decades. With the recent emergence of high-throughput and large-scale proteomic techniques, mass spectrometry-based surveys have also been applied to the global analysis of the skeletal muscle protein complement during physiological modifications and pathophysiological alterations. This review outlines and discusses the impact of recent proteomic profiling studies of skeletal muscle transitions, including the effects of chronic electro-stimulation, physical exercise, denervation, disuse atrophy, hypoxia, myotonia, motor neuron disease and age-related fibre type shifting. This includes studies on the human skeletal muscle proteome, animal models of muscle plasticity and major neuromuscular pathologies. The biomedical importance of establishing reliable biomarker signatures for the various molecular and cellular transition phases involved in muscle transformation is critically examined. PMID:23738259

  15. Proteomics in diagnosis of prostate cancer.

    PubMed

    Davalieva, K; Polenakovic, M

    2015-01-01

    Prostate cancer (PCa) is the second most frequently diagnosed malignancy in men worldwide. The introduction of prostate specific antigen (PSA) has greatly increased the number of men diagnosed with PCa but at the same time, as a result of the low specificity, led to overdiagnosis, resulting to unnecessary biopsies and high medical cost treatments. The primary goal in PCa research today is to find a biomarker or biomarker set for clear and effecttive diagnosis of PCa as well as for distinction between aggressive and indolent cancers. Different proteomic technologies such as 2-D PAGE, 2-D DIGE, MALDI MS profiling, shotgun proteomics with label-based (ICAT, iTRAQ) and label-free (SWATH) quantification, MudPIT, CE-MS have been applied to the study of PCa in the past 15 years. Various biological samples, including tumor tissue, serum, plasma, urine, seminal plasma, prostatic secretions and prostatic-derived exosomes were analyzed with the aim of identifying diagnostic and prognostic biomarkers and developing a deeper understanding of the disease at the molecular level. This review is focused on the overall analysis of expression proteomics studies in the PCa field investigating all types of human samples in the search for diagnostics biomarkers. Emphasis is given on proteomics platforms used in biomarker discovery and characterization, explored sources for PCa biomarkers, proposed candidate biomarkers by comparative proteomics studies and the possible future clinical application of those candidate biomarkers in PCa screening and diagnosis. In addition, we review the specificity of the putative markers and existing challenges in the proteomics research of PCa. PMID:26076772

  16. New challenges for proteomics technologies: a mini perspective review

    SciTech Connect

    Shen, Yufeng; Pasa-Tolic, Ljiljana; Robinson, Errol W.; Adkins, Joshua N.; Smith, Richard D.

    2014-10-10

    Proteomics technologies have experienced rapid advances over the last decade to identify or quantify thousands of proteins per sample, typically in a few hours, enabling proteomics applications in environmental, biological, medical, and clinical research. A number of publications have reviewed advances in proteomic technologies and applications. This short review focuses first on a discussion of sensitivity in bottom-up (i.e. digested protein) proteomics and approaches for characterization of small cell populations, and secondly on protein separations for top-down (i.e. intact protein) proteomics including discussions of key technical challenges where recent advances are elucidating specific functions of proteins in biological processes.

  17. Urinary proteomics in cardiovascular disease: Achievements, limits and hopes.

    PubMed

    Delles, Christian; Diez, Javier; Dominiczak, Anna F

    2011-06-01

    Cardiovascular disease (CVD) is the major cause of mortality and morbidity worldwide. Diagnosis of CVD and risk stratification of patients with CVD remains challenging despite the availability of a wealth of non-invasive and invasive tests. Clinical proteomics analyses a large number of peptides and proteins in biofluids. For clinical applications, the urinary proteome appears particularly attractive due to the relative low complexity compared with the plasma proteome and the noninvasive collection of urine. In this article, we review the results from pilot studies into urinary proteomics of coronary artery disease and discuss the potential of urinary proteomics in the context of pathogenesis of CVD. PMID:21523916

  18. Controlled vocabularies and ontologies in proteomics: overview, principles and practice.

    PubMed

    Mayer, Gerhard; Jones, Andrew R; Binz, Pierre-Alain; Deutsch, Eric W; Orchard, Sandra; Montecchi-Palazzi, Luisa; Vizcaíno, Juan Antonio; Hermjakob, Henning; Oveillero, David; Julian, Randall; Stephan, Christian; Meyer, Helmut E; Eisenacher, Martin

    2014-01-01

    This paper focuses on the use of controlled vocabularies (CVs) and ontologies especially in the area of proteomics, primarily related to the work of the Proteomics Standards Initiative (PSI). It describes the relevant proteomics standard formats and the ontologies used within them. Software and tools for working with these ontology files are also discussed. The article also examines the "mapping files" used to ensure correct controlled vocabulary terms that are placed within PSI standards and the fulfillment of the MIAPE (Minimum Information about a Proteomics Experiment) requirements. This article is part of a Special Issue entitled: Computational Proteomics in the Post-Identification Era. Guest Editors: Martin Eisenacher and Christian Stephan. PMID:23429179

  19. Unraveling pancreatic islet biology by quantitative proteomics

    SciTech Connect

    Zhou, Jianying; Dann, Geoffrey P.; Liew, Chong W.; Smith, Richard D.; Kulkarni, Rohit N.; Qian, Weijun

    2011-08-01

    The pancreatic islets of Langerhans play a critical role in maintaining blood glucose homeostasis by secreting insulin and several other important peptide hormones. Impaired insulin secretion due to islet dysfunction is linked to the pathogenesis underlying both Type 1 and Type 2 diabetes. Over the past 5 years, emerging proteomic technologies have been applied to dissect the signaling pathways that regulate islet functions and gain an understanding of the mechanisms of islet dysfunction relevant to diabetes. Herein, we briefly review some of the recent quantitative proteomic studies involving pancreatic islets geared towards gaining a better understanding of islet biology relevant to metabolic diseases.

  20. Regulation of the proteome by amino acids.

    PubMed

    Bourgoin-Voillard, Sandrine; Goron, Arthur; Seve, Michel; Moinard, Christophe

    2016-03-01

    Besides their main contribution as substrates for protein synthesis, amino acids as signaling molecules could exert some regulatory functions on protein synthesis and/or proteolysis that have been emphasized in a number of recent studies. Several publications have highlighted supplemental roles of those amino acids in protein metabolism as well as in immunity, heat shock response, or apoptosis processes. In this way, via their regulatory properties, selected amino acids (such as leucine, glutamine, arginine, citrulline, or methionine) directly influence the proteome. In this review, we are proposing an overview of the regulation of the proteome by amino acids in mammals. PMID:26786846

  1. Proteomic Screening for Amyloid Proteins

    PubMed Central

    Nizhnikov, Anton A.; Alexandrov, Alexander I.; Ryzhova, Tatyana A.; Mitkevich, Olga V.; Dergalev, Alexander A.; Ter-Avanesyan, Michael D.; Galkin, Alexey P.

    2014-01-01

    Despite extensive study, progress in elucidation of biological functions of amyloids and their role in pathology is largely restrained due to the lack of universal and reliable biochemical methods for their discovery. All biochemical methods developed so far allowed only identification of glutamine/asparagine-rich amyloid-forming proteins or proteins comprising amyloids that form large deposits. In this article we present a proteomic approach which may enable identification of a broad range of amyloid-forming proteins independently of specific features of their sequences or levels of expression. This approach is based on the isolation of protein fractions enriched with amyloid aggregates via sedimentation by ultracentrifugation in the presence of strong ionic detergents, such as sarkosyl or SDS. Sedimented proteins are then separated either by 2D difference gel electrophoresis or by SDS-PAGE, if they are insoluble in the buffer used for 2D difference gel electrophoresis, after which they are identified by mass-spectrometry. We validated this approach by detection of known yeast prions and mammalian proteins with established capacity for amyloid formation and also revealed yeast proteins forming detergent-insoluble aggregates in the presence of human huntingtin with expanded polyglutamine domain. Notably, with one exception, all these proteins contained glutamine/asparagine-rich stretches suggesting that their aggregates arose due to polymerization cross-seeding by human huntingtin. Importantly, though the approach was developed in a yeast model, it can easily be applied to any organism thus representing an efficient and universal tool for screening for amyloid proteins. PMID:25549323

  2. Proteomic profiling of lymphocytes in autoimmunity, inflammation and cancer

    PubMed Central

    2014-01-01

    Lymphocytes play important roles in the balance between body defense and noxious agents involved in a number of diseases, e.g. autoimmune diseases, allergic inflammation and cancer. The proteomic analyses have been applied to identify and validate disease-associated and disease-specific biomarkers for therapeutic strategies of diseases. The proteomic profiles of lymphocytes may provide more information to understand their functions and roles in the development of diseases, although proteomic approaches in lymphocytes are still limited. The present review overviewed the proteomics-based studies on lymphocytes to headlight the proteomic profiles of lymphocytes in diseases, such as autoimmune diseases, allergic inflammation and cancer, with a special focus on lung diseases. We will explore the potential significance of diagnostic biomarkers and therapeutic targets from the current status in proteomic studies of lymphocytes and discuss the value of the currently available proteomic methodologies in the lymphocytes research. PMID:24397796

  3. Proteomics and the Analysis of Proteomic Data: 2013 Overview of Current Protein-Profiling Technologies

    PubMed Central

    Bruce, Can; Stone, Kathryn; Gulcicek, Erol; Williams, Kenneth

    2013-01-01

    Mass spectrometry has become a major tool in the study of proteomes. The analysis of proteolytic peptides and their fragment ions by this technique enables the identification and quantitation of the precursor proteins in a mixture. However, deducing chemical structures and then protein sequences from mass-to-charge ratios is a challenging computational task. Software tools incorporating powerful algorithms and statistical methods improved our ability to process the large quantities of proteomics data. Repositories of spectral data make both data analysis and experimental design more efficient. New approaches in quantitative and statistical proteomics make possible a greater coverage of the proteome, the identification of more post-translational modifications and a greater sensitivity in the quantitation of targeted proteins. PMID:23504934

  4. Processing Shotgun Proteomics Data on the Amazon Cloud with the Trans-Proteomic Pipeline*

    PubMed Central

    Slagel, Joseph; Mendoza, Luis; Shteynberg, David; Deutsch, Eric W.; Moritz, Robert L.

    2015-01-01

    Cloud computing, where scalable, on-demand compute cycles and storage are available as a service, has the potential to accelerate mass spectrometry-based proteomics research by providing simple, expandable, and affordable large-scale computing to all laboratories regardless of location or information technology expertise. We present new cloud computing functionality for the Trans-Proteomic Pipeline, a free and open-source suite of tools for the processing and analysis of tandem mass spectrometry datasets. Enabled with Amazon Web Services cloud computing, the Trans-Proteomic Pipeline now accesses large scale computing resources, limited only by the available Amazon Web Services infrastructure, for all users. The Trans-Proteomic Pipeline runs in an environment fully hosted on Amazon Web Services, where all software and data reside on cloud resources to tackle large search studies. In addition, it can also be run on a local computer with computationally intensive tasks launched onto the Amazon Elastic Compute Cloud service to greatly decrease analysis times. We describe the new Trans-Proteomic Pipeline cloud service components, compare the relative performance and costs of various Elastic Compute Cloud service instance types, and present on-line tutorials that enable users to learn how to deploy cloud computing technology rapidly with the Trans-Proteomic Pipeline. We provide tools for estimating the necessary computing resources and costs given the scale of a job and demonstrate the use of cloud enabled Trans-Proteomic Pipeline by performing over 1100 tandem mass spectrometry files through four proteomic search engines in 9 h and at a very low cost. PMID:25418363

  5. Processing shotgun proteomics data on the Amazon cloud with the trans-proteomic pipeline.

    PubMed

    Slagel, Joseph; Mendoza, Luis; Shteynberg, David; Deutsch, Eric W; Moritz, Robert L

    2015-02-01

    Cloud computing, where scalable, on-demand compute cycles and storage are available as a service, has the potential to accelerate mass spectrometry-based proteomics research by providing simple, expandable, and affordable large-scale computing to all laboratories regardless of location or information technology expertise. We present new cloud computing functionality for the Trans-Proteomic Pipeline, a free and open-source suite of tools for the processing and analysis of tandem mass spectrometry datasets. Enabled with Amazon Web Services cloud computing, the Trans-Proteomic Pipeline now accesses large scale computing resources, limited only by the available Amazon Web Services infrastructure, for all users. The Trans-Proteomic Pipeline runs in an environment fully hosted on Amazon Web Services, where all software and data reside on cloud resources to tackle large search studies. In addition, it can also be run on a local computer with computationally intensive tasks launched onto the Amazon Elastic Compute Cloud service to greatly decrease analysis times. We describe the new Trans-Proteomic Pipeline cloud service components, compare the relative performance and costs of various Elastic Compute Cloud service instance types, and present on-line tutorials that enable users to learn how to deploy cloud computing technology rapidly with the Trans-Proteomic Pipeline. We provide tools for estimating the necessary computing resources and costs given the scale of a job and demonstrate the use of cloud enabled Trans-Proteomic Pipeline by performing over 1100 tandem mass spectrometry files through four proteomic search engines in 9 h and at a very low cost. PMID:25418363

  6. Pressurized Pepsin Digestion in Proteomics: An Automatable Alternative to Trypsin for Integrated Top-down Bottom-up Proteomics

    SciTech Connect

    Lopez-Ferrer, Daniel; Petritis, Konstantinos; Robinson, Errol W.; Hixson, Kim K.; Tian, Zhixin; Lee, Jung Hwa; Lee, Sang-Won; Tolic, Nikola; Weitz, Karl K.; Belov, Mikhail E.; Smith, Richard D.; Pasa-Tolic, Ljiljana

    2011-02-01

    Integrated top-down bottom-up proteomics combined with online digestion has great potential to improve the characterization of protein isoforms in biological systems and is amendable to highthroughput proteomics experiments. Bottom-up proteomics ultimately provides the peptide sequences derived from the tandem MS analyses of peptides after the proteome has been digested. Top-down proteomics conversely entails the MS analyses of intact proteins for more effective characterization of genetic variations and/or post-translational modifications (PTMs). Herein, we describe recent efforts towards efficient integration of bottom-up and top-down LCMS based proteomic strategies. Since most proteomic platforms (i.e. LC systems) operate in acidic environments, we exploited the compatibility of the pepsin (i.e. the enzyme’s natural acidic activity) for the integration of bottom-up and top-down proteomics. Pressure enhanced pepsin digestions were successfully performed and characterized with several standard proteins in either an offline mode using a Barocycler or an online mode using a modified high pressure LC system referred to as a fast online digestion system (FOLDS). FOLDS was tested using pepsin and a whole microbial proteome, and the results compared against traditional trypsin digestions on the same platform. Additionally, FOLDS was integrated with a RePlay configuration to demonstrate an ultra-rapid integrated bottom-up top-down proteomic strategy employing a standard mixture of proteins and a monkey pox virus proteome.

  7. Trans-Proteomic Pipeline, a standardized data processing pipeline for large-scale reproducible proteomics informatics

    PubMed Central

    Deutsch, Eric W.; Mendoza, Luis; Shteynberg, David; Slagel, Joseph; Sun, Zhi; Moritz, Robert L.

    2015-01-01

    Democratization of genomics technologies has enabled the rapid determination of genotypes. More recently the democratization of comprehensive proteomics technologies is enabling the determination of the cellular phenotype and the molecular events that define its dynamic state. Core proteomic technologies include mass spectrometry to define protein sequence, protein:protein interactions, and protein post-translational modifications. Key enabling technologies for proteomics are bioinformatic pipelines to identify, quantitate, and summarize these events. The Trans-Proteomics Pipeline (TPP) is a robust open-source standardized data processing pipeline for large-scale reproducible quantitative mass spectrometry proteomics. It supports all major operating systems and instrument vendors via open data formats. Here we provide a review of the overall proteomics workflow supported by the TPP, its major tools, and how it can be used in its various modes from desktop to cloud computing. We describe new features for the TPP, including data visualization functionality. We conclude by describing some common perils that affect the analysis of tandem mass spectrometry datasets, as well as some major upcoming features. PMID:25631240

  8. Trans-Proteomic Pipeline, a standardized data processing pipeline for large-scale reproducible proteomics informatics.

    PubMed

    Deutsch, Eric W; Mendoza, Luis; Shteynberg, David; Slagel, Joseph; Sun, Zhi; Moritz, Robert L

    2015-08-01

    Democratization of genomics technologies has enabled the rapid determination of genotypes. More recently the democratization of comprehensive proteomics technologies is enabling the determination of the cellular phenotype and the molecular events that define its dynamic state. Core proteomic technologies include MS to define protein sequence, protein:protein interactions, and protein PTMs. Key enabling technologies for proteomics are bioinformatic pipelines to identify, quantitate, and summarize these events. The Trans-Proteomics Pipeline (TPP) is a robust open-source standardized data processing pipeline for large-scale reproducible quantitative MS proteomics. It supports all major operating systems and instrument vendors via open data formats. Here, we provide a review of the overall proteomics workflow supported by the TPP, its major tools, and how it can be used in its various modes from desktop to cloud computing. We describe new features for the TPP, including data visualization functionality. We conclude by describing some common perils that affect the analysis of MS/MS datasets, as well as some major upcoming features. PMID:25631240

  9. Representative proteomes: a stable, scalable and unbiased proteome set for sequence analysis and functional annotation.

    PubMed

    Chen, Chuming; Natale, Darren A; Finn, Robert D; Huang, Hongzhan; Zhang, Jian; Wu, Cathy H; Mazumder, Raja

    2011-01-01

    The accelerating growth in the number of protein sequences taxes both the computational and manual resources needed to analyze them. One approach to dealing with this problem is to minimize the number of proteins subjected to such analysis in a way that minimizes loss of information. To this end we have developed a set of Representative Proteomes (RPs), each selected from a Representative Proteome Group (RPG) containing similar proteomes calculated based on co-membership in UniRef50 clusters. A Representative Proteome is the proteome that can best represent all the proteomes in its group in terms of the majority of the sequence space and information. RPs at 75%, 55%, 35% and 15% co-membership threshold (CMT) are provided to allow users to decrease or increase the granularity of the sequence space based on their requirements. We find that a CMT of 55% (RP55) most closely follows standard taxonomic classifications. Further analysis of this set reveals that sequence space is reduced by more than 80% relative to UniProtKB, while retaining both sequence diversity (over 95% of InterPro domains) and annotation information (93% of experimentally characterized proteins). All sets can be browsed and are available for sequence similarity searches and download at http://www.proteininformationresource.org/rps, while the set of 637 RPs determined using a 55% CMT are also available for text searches. Potential applications include sequence similarity searches, protein classification and targeted protein annotation and characterization. PMID:21556138

  10. In silico proteome analysis to facilitate proteomics experiments using mass spectrometry

    PubMed Central

    Cagney, Gerard; Amiri, Shiva; Premawaradena, Thanuja; Lindo, Micheal; Emili, Andrew

    2003-01-01

    Proteomics experiments typically involve protein or peptide separation steps coupled to the identification of many hundreds to thousands of peptides by mass spectrometry. Development of methodology and instrumentation in this field is proceeding rapidly, and effective software is needed to link the different stages of proteomic analysis. We have developed an application, proteogest, written in Perl that generates descriptive and statistical analyses of the biophysical properties of multiple (e.g. thousands) protein sequences submitted by the user, for instance protein sequences inferred from the complete genome sequence of a model organism. The application also carries out in silico proteolytic digestion of the submitted proteomes, or subsets thereof, and the distribution of biophysical properties of the resulting peptides is presented. proteogest is customizable, the user being able to select many options, for instance the cleavage pattern of the digestion treatment or the presence of modifications to specific amino acid residues. We show how proteogest can be used to compare the proteomes and digested proteome products of model organisms, to examine the added complexity generated by modification of residues, and to facilitate the design of proteomics experiments for optimal representation of component proteins. PMID:12946274

  11. HepatoProteomics: Applying Proteomic Technologies to the Study of Liver Function and Disease

    SciTech Connect

    Diamond, Deborah L.; Proll, Sean; Jacobs, Jon M.; Chan, Eric Y.; Camp, David G.; Smith, Richard D.; Katze, Michael G.

    2006-08-01

    The wealth of human genome sequence information now available, coupled with technological advances in robotics, nanotechnology, mass spectrometry, and information systems, has given rise to a method of scientific inquiry known as functional genomics. By using these technologies to survey gene expression and protein production on a near global scale, the goal of functional genomics is to assign biological function to genes with currently unknown roles in physiology. This approach carries particular appeal in disease research, where it can uncover the function of previously unknown genes and molecular pathways that are directly involved in disease progression. With this knowledge may come improved diagnostic techniques, prognostic capabilities, and novel therapeutic approaches. In this regard, the continuing evolution of proteomic technologies has resulted in an increasingly greater impact of proteome studies in many areas of research and hepatology is no exception. Our laboratory has been extremely active in this area, applying both genomic and proteomic technologies to the analysis of virus-host interactions in several systems, including the study of hepatitis C virus (HCV) infection and HCV-associated liver disease. Since proteomic technologies are foreign to many hepatologists (and to almost everyone else), this article will provide an overview of proteomic methods and technologies and describe how they're being used to study liver function and disease. We use our studies of HCV infection and HCV-associated liver disease to present an operational framework for performing high throughput proteome analysis and extracting biologically meaningful information.

  12. Are Proteomic Technologies Ready for IVDs?

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Over the last decade major progress has been achieved in proteomic technologies. This came about because of the advances made in atmospheric ionization developments prior to mass spectrometry which allowed soft ionization and measurements of singly ionized relatively large molecules to be measured b...

  13. Contributions of proteomics to understanding phagosome maturation

    PubMed Central

    Rogers, Lindsay D; Foster, Leonard J

    2008-01-01

    In metazoans macrophage cells use phagocytosis, the process of engulfing large particles, to control the spread of pathogens in the body, to clear dead or dying cells, and to aid in tissue remodelling, while the same process is also used by unicellular eukaryotes to ingest food. Phagocytosing cells essentially swallow the particles, trapping them in vacuoles called phagosomes that go through a series of maturation steps, culminating in the destruction of the internalized cargo. Because of their central role in innate immunity and their relatively simple structure (one membrane bilayer surrounding a single particle), phagosomes have been a popular subject for organelle proteomics studies. Qualitative proteomic technologies are now very sensitive so hundreds of different proteins have been identified in phagosomes from several species, revealing new properties of these intriguing compartments. More recently, quantitative proteomic approaches have also been applied, shedding new light on the dynamics and composition of maturing phagosomes. In this review we summarize the studies that have applied proteomic technologies to phagosomes and how they have changed our understanding of phagosome biology. PMID:18331591

  14. Shotgun proteome profile of Populus developing xylem

    SciTech Connect

    Kalluri, Udaya C; Hurst, Gregory {Greg} B; Lankford, Patricia K; Ranjan, Priya; Pelletier, Dale A

    2009-01-01

    Understanding the molecular pathways of plant cell wall biosynthesis and remodeling is central to interpreting biological mechanisms underlying plant growth and adaptation as well as leveraging that knowledge towards development of improved bioenergy feedstocks. Here we report the application of shotgun tandem mass spectrometry profiling to the proteome of Populus developing xylem. Additionally, we mined public databases to obtain information in support of subcellular localization, transcript-level expression, and functional categorization of these proteins. Nearly 6000 different proteins were identified from the xylem proteome, with over 4400 proteins identified from one or more unique peptides. In addition to finding protein-level evidence of candidate wall biosynthesis genes from xylem (wood) tissue such as cellulose synthase, phenylalanine ammonia-lyase, and 4-coumarate:CoA ligase, several other potentially new candidate genes in the pathway were discovered. In order to identify low-abundance DNA-regulatory proteins from the developing xylem, a selective nuclear proteome profiling method was developed. Several putative transcription factor and chromatin remodeling proteins were identified using this method, such as LIM and NAC domain transcription factors and CHB3-SWI/SNF-related proteins. Further application of these proteomics methods will enhance understanding not only of cell wall biosynthesis in system biology modeling, but also other plant developmental and physiological pathways.

  15. Quantitative proteomic analysis of single pancreatic islets

    PubMed Central

    Waanders, Leonie F.; Chwalek, Karolina; Monetti, Mara; Kumar, Chanchal; Lammert, Eckhard; Mann, Matthias

    2009-01-01

    Technological developments make mass spectrometry (MS)-based proteomics a central pillar of biochemical research. MS has been very successful in cell culture systems, where sample amounts are not limiting. To extend its capabilities to extremely small, physiologically distinct cell types isolated from tissue, we developed a high sensitivity chromatographic system that measures nanogram protein mixtures for 8 h with very high resolution. This technology is based on splitting gradient effluents into a capture capillary and provides an inherent technical replicate. In a single analysis, this allowed us to characterize kidney glomeruli isolated by laser capture microdissection to a depth of more than 2,400 proteins. From pooled pancreatic islets of Langerhans, another type of “miniorgan,” we obtained an in-depth proteome of 6,873 proteins, many of them involved in diabetes. We quantitatively compared the proteome of single islets, containing 2,000–4,000 cells, treated with high or low glucose levels, and covered most of the characteristic functions of beta cells. Our ultrasensitive analysis recapitulated known hyperglycemic changes but we also find components up-regulated such as the mitochondrial stress regulator Park7. Direct proteomic analysis of functionally distinct cellular structures opens up perspectives in physiology and pathology. PMID:19846766

  16. Shotgun Proteomic Analysis of Arabidopsis thaliana Leaves

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Two shotgun tandem mass spectrometry proteomics approaches, Multidimensional Protein Identification Technology (MudPIT) and 1D-Gel-LC-MS/MS, were used to identify Arabidopsis thaliana leaf proteins. These methods utilize different protein/peptide separation strategies. Detergents not compatible wit...

  17. Proteomics of mastitis causing Escherichia coli

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Mastitis remains the most prevalent disease in dairy cattle. The economic impact of mastitis on the dairy industry is estimated to be $2 billion per year. Mastitis involves a complex set of interactions between an invading pathogen and the host’s immune systems. Proteomics is a new tool used to s...

  18. JDIP Genomics, Antibodies, and Proteomics Core Update

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The JDIP Genomics, Proteomics, and Antibodies Core has developed several resources that are available for use by JDIP researchers. Five tasks have been completed or are in progress: Task 1 – Transposon mutants: Nearly 24,000 gene disruption M. paratuberculosis mutants are now available for JDIP re...

  19. Understanding the chemically-reactive proteome.

    PubMed

    Jones, Lyn H

    2016-05-24

    The reactivity of amino acid residues in proteins is context-dependent and difficult to predict. Chemical biology can be used to understand the chemical modifications of proteins to help elucidate the nature of the reactive proteome. The resulting insights can be applied to pharmacoproteomics, target identification and molecular pathology. PMID:26726011

  20. Functional proteomics within the genus Lactobacillus.

    PubMed

    De Angelis, Maria; Calasso, Maria; Cavallo, Noemi; Di Cagno, Raffaella; Gobbetti, Marco

    2016-03-01

    Lactobacillus are mainly used for the manufacture of fermented dairy, sourdough, meat, and vegetable foods or used as probiotics. Under optimal processing conditions, Lactobacillus strains contribute to food functionality through their enzyme portfolio and the release of metabolites. An extensive genomic diversity analysis was conducted to elucidate the core features of the genus Lactobacillus, and to provide a better comprehension of niche adaptation of the strains. However, proteomics is an indispensable "omics" science to elucidate the proteome diversity, and the mechanisms of regulation and adaptation of Lactobacillus strains. This review focuses on the novel and comprehensive knowledge of functional proteomics and metaproteomics of Lactobacillus species. A large list of proteomic case studies of different Lactobacillus species is provided to illustrate the adaptability of the main metabolic pathways (e.g., carbohydrate transport and metabolism, pyruvate metabolism, proteolytic system, amino acid metabolism, and protein synthesis) to various life conditions. These investigations have highlighted that lactobacilli modulate the level of a complex panel of proteins to growth/survive in different ecological niches. In addition to the general regulation and stress response, specific metabolic pathways can be switched on and off, modifying the behavior of the strains. PMID:27001126

  1. Proteomic Profiling of Rat Thyroarytenoid Muscle

    ERIC Educational Resources Information Center

    Welham, Nathan V.; Marriott, Gerard; Bless, Diane M.

    2006-01-01

    Purpose: Proteomic methodologies offer promise in elucidating the systemwide cellular and molecular processes that characterize normal and diseased thyroarytenoid (TA) muscle. This study examined methodological issues central to the application of 2-dimensional sodium dodecyl sulfate polyacrylamide gel electrophoresis (2D SDS-PAGE) to the study of…

  2. Subcellular localization of the yeast proteome

    PubMed Central

    Kumar, Anuj; Agarwal, Seema; Heyman, John A.; Matson, Sandra; Heidtman, Matthew; Piccirillo, Stacy; Umansky, Lara; Drawid, Amar; Jansen, Ronald; Liu, Yang; Cheung, Kei-Hoi; Miller, Perry; Gerstein, Mark; Roeder, G. Shirleen; Snyder, Michael

    2002-01-01

    Protein localization data are a valuable information resource helpful in elucidating eukaryotic protein function. Here, we report the first proteome-scale analysis of protein localization within any eukaryote. Using directed topoisomerase I-mediated cloning strategies and genome-wide transposon mutagenesis, we have epitope-tagged 60% of the Saccharomyces cerevisiae proteome. By high-throughput immunolocalization of tagged gene products, we have determined the subcellular localization of 2744 yeast proteins. Extrapolating these data through a computational algorithm employing Bayesian formalism, we define the yeast localizome (the subcellular distribution of all 6100 yeast proteins). We estimate the yeast proteome to encompass ∼5100 soluble proteins and >1000 transmembrane proteins. Our results indicate that 47% of yeast proteins are cytoplasmic, 13% mitochondrial, 13% exocytic (including proteins of the endoplasmic reticulum and secretory vesicles), and 27% nuclear/nucleolar. A subset of nuclear proteins was further analyzed by immunolocalization using surface-spread preparations of meiotic chromosomes. Of these proteins, 38% were found associated with chromosomal DNA. As determined from phenotypic analyses of nuclear proteins, 34% are essential for spore viability—a percentage nearly twice as great as that observed for the proteome as a whole. In total, this study presents experimentally derived localization data for 955 proteins of previously unknown function: nearly half of all functionally uncharacterized proteins in yeast. To facilitate access to these data, we provide a searchable database featuring 2900 fluorescent micrographs at http://ygac.med.yale.edu. PMID:11914276

  3. Top Down proteomics: Facts and perspectives

    SciTech Connect

    Catherman, Adam D.; Skinner, Owen S.; Kelleher, Neil L.

    2014-03-21

    Highlights: • Top Down versus Bottom Up proteomics analysis. • Separations methods for Top Down proteomics. • Developments in mass spectrometry instrumentation and fragmentation. • Native mass spectrometry. - Abstract: The rise of the “Top Down” method in the field of mass spectrometry-based proteomics has ushered in a new age of promise and challenge for the characterization and identification of proteins. Injecting intact proteins into the mass spectrometer allows for better characterization of post-translational modifications and avoids several of the serious “inference” problems associated with peptide-based proteomics. However, successful implementation of a Top Down approach to endogenous or other biologically relevant samples often requires the use of one or more forms of separation prior to mass spectrometric analysis, which have only begun to mature for whole protein MS. Recent advances in instrumentation have been used in conjunction with new ion fragmentation using photons and electrons that allow for better (and often complete) protein characterization on cases simply not tractable even just a few years ago. Finally, the use of native electrospray mass spectrometry has shown great promise for the identification and characterization of whole protein complexes in the 100 kDa to 1 MDa regime, with prospects for complete compositional analysis for endogenous protein assemblies a viable goal over the coming few years.

  4. Aluminum induced proteome changes in tomato cotyledons

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Cotyledons of tomato seedlings that germinated in a 20 µM AlK(SO4)2 solution remained chlorotic while those germinated in an aluminum free medium were normal (green) in color. Previously, we have reported the effect of aluminum toxicity on root proteome in tomato seedlings (Zhou et al. J Exp Bot, 20...

  5. The dynamic proteome of Lyme disease Borrelia.

    PubMed

    Norris, Steven J

    2006-01-01

    The proteome of the spirochete bacterium Borrelia burgdorferi, the tick-borne agent of Lyme disease, has been characterized by two different approaches using mass spectrometry, providing a launching point for future studies on the dramatic changes in protein expression that occur during transmission of the bacterium between ticks and mammals. PMID:16563176

  6. A draft map of the human proteome

    PubMed Central

    Kim, Min-Sik; Pinto, Sneha M.; Getnet, Derese; Nirujogi, Raja Sekhar; Manda, Srikanth S.; Chaerkady, Raghothama; Madugundu, Anil K.; Kelkar, Dhanashree S.; Isserlin, Ruth; Jain, Shobhit; Thomas, Joji K.; Muthusamy, Babylakshmi; Leal-Rojas, Pamela; Kumar, Praveen; Sahasrabuddhe, Nandini A.; Balakrishnan, Lavanya; Advani, Jayshree; George, Bijesh; Renuse, Santosh; Selvan, Lakshmi Dhevi N.; Patil, Arun H.; Nanjappa, Vishalakshi; Radhakrishnan, Aneesha; Prasad, Samarjeet; Subbannayya, Tejaswini; Raju, Rajesh; Kumar, Manish; Sreenivasamurthy, Sreelakshmi K.; Marimuthu, Arivusudar; Sathe, Gajanan J.; Chavan, Sandip; Datta, Keshava K.; Subbannayya, Yashwanth; Sahu, Apeksha; Yelamanchi, Soujanya D.; Jayaram, Savita; Rajagopalan, Pavithra; Sharma, Jyoti; Murthy, Krishna R.; Syed, Nazia; Goel, Renu; Khan, Aafaque A.; Ahmad, Sartaj; Dey, Gourav; Mudgal, Keshav; Chatterjee, Aditi; Huang, Tai-Chung; Zhong, Jun; Wu, Xinyan; Shaw, Patrick G.; Freed, Donald; Zahari, Muhammad S.; Mukherjee, Kanchan K.; Shankar, Subramanian; Mahadevan, Anita; Lam, Henry; Mitchell, Christopher J.; Shankar, Susarla Krishna; Satishchandra, Parthasarathy; Schroeder, John T.; Sirdeshmukh, Ravi; Maitra, Anirban; Leach, Steven D.; Drake, Charles G.; Halushka, Marc K.; Prasad, T. S. Keshava; Hruban, Ralph H.; Kerr, Candace L.; Bader, Gary D.; Iacobuzio-Donahue, Christine A.; Gowda, Harsha; Pandey, Akhilesh

    2014-01-01

    The availability of human genome sequence has transformed biomedical research over the past decade. However, an equivalent map for the human proteome with direct measurements of proteins and peptides does not exist yet. Here, we present a draft map of the human proteome using high resolution Fourier transform mass spectrometry. In-depth proteomic profiling of 30 histologically normal human samples including 17 adult tissues, 7 fetal tissues and 6 purified primary hematopoietic cells resulted in identification of proteins encoded by 17,294 genes accounting for ~84% of the total annotated protein-coding genes in humans. A unique and comprehensive strategy for proteogenomic analysis enabled us to discover a number of novel protein-coding regions, which includes translated pseudogenes, non-coding RNAs and upstream ORFs. This large human proteome catalog (available as an interactive web-based resource at http://www.humanproteomemap.org) will complement available human genome and transcriptome data to accelerate biomedical research in health and disease. PMID:24870542

  7. Proteomic analysis of soybean cyst nematode

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Soybean cyst nematode (Heterodera glycines, SCN) is the most destructive pathogen of soybean (Glycine max (L.) Merr.) worldwide causing an estimated $2 billion in losses annually. Proteomic technologies are powerful tools to examine protein expression profiles as well as modification of proteins. W...

  8. Introduction to mass spectrometry-based proteomics.

    PubMed

    Matthiesen, Rune; Bunkenborg, Jakob

    2013-01-01

    Mass spectrometry has been widely applied to study biomolecules and one rapidly developing field is the global analysis of proteins, proteomics. Understanding and handling mass spectrometry data is a multifaceted task that requires many decisions to be made to get the most comprehensive information from an experiment. Later chapters in this book deal in-depth with various aspects of the process and how different tools can be applied to the many analytical challenges. This introductory chapter is intended as a basic introduction to mass spectrometry (MS)-based proteomics to set the scene for newcomers and give pointers to reference material. There are many applications of mass spectrometry in proteomics and each application is associated with some analytical choices, instrumental limitations and data processing steps that depend on the aim of the study and means of conducting it. Different aspects of the proteome can be explored by choosing the right combination of sample preparation, MS instrumentation and data processing. This chapter gives an outline for some of these commonly used setups and some of the key concepts, many of which are explored in greater depth in later chapters. PMID:23666720

  9. Proteomic Approaches for Biomarker Panels in Cancer.

    PubMed

    Tanase, Cristiana; Albulescu, Radu; Neagu, Monica

    2016-01-01

    Proteomic technologies remain the main backbone of biomarkers discovery in cancer. The continuous development of proteomic technologies also enlarges the bioinformatics domain, thus founding the main pillars of cancer therapy. The main source for diagnostic/prognostic/therapy monitoring biomarker panels are molecules that have a dual role, being both indicators of disease development and therapy targets. Proteomic technologies, such as mass-spectrometry approaches and protein array technologies, represent the main technologies that can depict these biomarkers. Herein, we will illustrate some of the most recent strategies for biomarker discovery in cancer, including the development of immune-markers and the use of cancer stem cells as target therapy. The challenges of proteomic biomarker discovery need new forms of cross-disciplinary conglomerates that will result in increased and tailored access to treatments for patients; diagnostic companies would benefit from the enhanced co-development of companion diagnostics and pharmaceutical companies. In the technology optimization in biomarkers, immune assays are the leaders of discovery machinery. PMID:26565430

  10. feature - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    "Cancer is a disease of the genome," noted Lynda Chin, M.D., professor of dermatology, Harvard Medical School and Dana-Farber Cancer Institute. "And understanding the impact of genomic changes in the proteome is critically important for converting genomic knowledge into something that a clinician can use on their patients."

  11. Proteomic analysis of the asthmatic airway.

    PubMed

    Wiktorowicz, John E; Jamaluddin, Mohammad

    2014-01-01

    Proteomic investigations in general utilize varied technologies for sample preparation, separations, quantification, protein identification, and biological rationalization. Their applications range from pure discovery and mechanistic studies to biomarker discovery/verification/validation. In each specific case, the analytical strategy to be implemented is tailored to the type of sample that serves as the target of the investigations. Proteomic investigations take into consideration sample complexity, the cellular heterogeneity (particularly from tissues), the potential dynamic range of the protein and peptide abundance within the sample, the likelihood of posttranslational modifications (PTM), and other important factors that might influence the final output of the study. We describe the sample types typically used for proteomic investigations into the biology of asthma and review the most recent related publications with special attention to those that deal with the unique airway samples such as bronchoalveolar lavage fluids (BALF), epithelial lining fluid and cells (ELF), induced sputum (IS), and exhaled breath condensate (EBC). Finally, we describe the newest proteomics approaches to sample preparation of the unique airway samples, BALF and IS. PMID:24162912

  12. Proteomics Analysis of Bladder Cancer Exosomes*

    PubMed Central

    Welton, Joanne L.; Khanna, Sanjay; Giles, Peter J.; Brennan, Paul; Brewis, Ian A.; Staffurth, John; Mason, Malcolm D.; Clayton, Aled

    2010-01-01

    Exosomes are nanometer-sized vesicles, secreted by various cell types, present in biological fluids that are particularly rich in membrane proteins. Ex vivo analysis of exosomes may provide biomarker discovery platforms and form non-invasive tools for disease diagnosis and monitoring. These vesicles have never before been studied in the context of bladder cancer, a major malignancy of the urological tract. We present the first proteomics analysis of bladder cancer cell exosomes. Using ultracentrifugation on a sucrose cushion, exosomes were highly purified from cultured HT1376 bladder cancer cells and verified as low in contaminants by Western blotting and flow cytometry of exosome-coated beads. Solubilization in a buffer containing SDS and DTT was essential for achieving proteomics analysis using an LC-MALDI-TOF/TOF MS approach. We report 353 high quality identifications with 72 proteins not previously identified by other human exosome proteomics studies. Overrepresentation analysis to compare this data set with previous exosome proteomics studies (using the ExoCarta database) revealed that the proteome was consistent with that of various exosomes with particular overlap with exosomes of carcinoma origin. Interrogating the Gene Ontology database highlighted a strong association of this proteome with carcinoma of bladder and other sites. The data also highlighted how homology among human leukocyte antigen haplotypes may confound MASCOT designation of major histocompatability complex Class I nomenclature, requiring data from PCR-based human leukocyte antigen haplotyping to clarify anomalous identifications. Validation of 18 MS protein identifications (including basigin, galectin-3, trophoblast glycoprotein (5T4), and others) was performed by a combination of Western blotting, flotation on linear sucrose gradients, and flow cytometry, confirming their exosomal expression. Some were confirmed positive on urinary exosomes from a bladder cancer patient. In summary, the

  13. Induced Sputum Proteome in Health and Asthma

    PubMed Central

    Gharib, Sina A.; Nguyen, Elizabeth V.; Lai, Ying; Plampin, Jessica D.; Goodlett, David R.; Hallstrand, Teal S.

    2014-01-01

    Background Asthma is a heterogeneous disease characterized by abnormal airway pathophysiology and susceptibility to different stimuli, as exemplified by a subset of individuals with exercise-induced bronchoconstriction (EIB). Induced sputum provides a noninvasive method to sample airway biofluids that are enriched in proteins. Objective We hypothesized that novel mechanisms in the pathogenesis of asthma may be revealed by studying the patterns of protein expression in induced sputum. Methods We used shotgun proteomics to analyze induced sputum from 5 normal individuals and 10 asthmatics, including 5 with EIB. Differential protein expression between asthmatics, asthma subphenotypes and control subjects was determined using spectral counting and computational methods. Results Using Gene Ontology analysis, we defined the functional landscape of induced sputum proteome and applied network analysis to construct a protein interaction map for this airway compartment. Shotgun proteomics analysis identified a number of proteins whose differential enrichment or depletion robustly distinguishedasthmatics from normal controls, and captured the effects of exercise on induced sputum proteome. Functional and network analysis identified key processes, including proteolytic activity that are known contributors to airway remodeling. Importantly, this approach highlighted previously unrecognized roles for differentially expressed proteins in pathways implicated in asthma, such as modulation of phospholipase A2 by secretoglobin, a putative role for S100A8/9 in human asthma, and selective upregulation of complement 3a in response to exercise in asthmatics. Conclusion Computationally-intensive analysis of induced sputum proteome is a powerful approach to understand the pathophysiology of asthma and a promising methodology to investigate other diseases of the airways. PMID:21906793

  14. Proteomics of Staphylococcus aureus--current state and future challenges.

    PubMed

    Hecker, Michael; Engelmann, Susanne; Cordwell, Stuart J

    2003-04-01

    This paper presents a short review of the proteome of Staphylococcus aureus, a gram-positive human pathogen of increasing importance for human health as a result of the increasing antibiotic resistance. A proteome reference map is shown which can be used for future studies and is followed by a demonstration of how proteomics could be applied to obtain new information on S. aureus physiology. The proteomic approach can provide new data on the regulation of metabolism as well as of the stress or starvation responses. Proteomic signatures encompassing specific stress or starvation proteins are excellent tools to predict the physiological state of a cell population. Furthermore proteomics is very useful for analysing the size and function of known and unknown regulons and will open a new dimension in the comprehensive understanding of regulatory networks in pathogenicity. Finally, some fields of application of S. aureus proteomics are discussed, including proteomics and strain evaluation, the role of proteomics for analysis of antibiotic resistance or for discovering new targets and diagnostics tools. The review also shows that the post-genome era of S. aureus which began in 2001 with the publication of the genome sequence is still in a preliminary stage, however, the consequent application of proteomics in combination with DNA array techniques and supported by bioinformatics will provide a comprehensive picture on cell physiology and pathogenicity in the near future. PMID:12659740

  15. Characterization of the Mouse Brain Proteome Using Global Proteomic Analysis Complemented with Cysteinyl-Peptide Enrichment

    SciTech Connect

    Wang, Haixing H.; Qian, Weijun; Chin, Mark H.; Petyuk, Vladislav A.; Barry, Richard C.; Liu, Tao; Gritsenko, Marina A.; Mottaz, Heather M.; Moore, Ronald J.; Camp, David G.; Khan, Arshad H.; Smith, Desmond; Smith, Richard D.

    2006-02-01

    Given the growing interest in applying genomic and proteomic approaches for studying the mammalian brain using mouse models, we hereby present for the first time a comprehensive characterization of the mouse brain proteome. Preparation of the whole brain sample incorporated a highly efficient cysteinyl-peptide enrichment (CPE) technique to complement a global enzymatic digestion method. Both the global and the cysteinyl-enriched peptide samples were analyzed by SCX fractionation coupled with reversed phase LC-MS/MS analysis. A total of 48,328 different peptides were confidently identified (>98% confidence level), covering 7792 non-redundant proteins (~34% of the predicted mouse proteome). 1564 and 1859 proteins were identified exclusively from the cysteinyl-peptide and the global peptide samples, respectively, corresponding to 25% and 31% improvements in proteome coverage compared to analysis of only the global peptide or cysteinyl-peptide samples. The identified proteins provide a broad representation of the mouse proteome with little bias evident due to protein pI, molecular weight, and/or cellular localization. Approximately 26% of the identified proteins with gene ontology (GO) annotations were membrane proteins, with 1447 proteins predicted to have transmembrane domains, and many of the membrane proteins were found to be involved in transport and cell signaling. The MS/MS spectrum count information for the identified proteins was used to provide a measure of relative protein abundances. The mouse brain peptide/protein database generated from this study represents the most comprehensive proteome coverage for the mammalian brain to date, and the basis for future quantitative brain proteomic studies using mouse models.

  16. A Quantitative Proteomics Analysis of Subcellular Proteome Localization and Changes Induced by DNA Damage*

    PubMed Central

    Boisvert, François-Michel; Lam, Yun Wah; Lamont, Douglas; Lamond, Angus I.

    2010-01-01

    A major challenge in cell biology is to identify the subcellular distribution of proteins within cells and to characterize how protein localization changes under different cell growth conditions and in response to stress and other external signals. Protein localization is usually determined either by microscopy or by using cell fractionation combined with protein blotting techniques. Both these approaches are intrinsically low throughput and limited to the analysis of known components. Here we use mass spectrometry-based proteomics to provide an unbiased, quantitative, and high throughput approach for measuring the subcellular distribution of the proteome, termed “spatial proteomics.” The spatial proteomics method analyzes a whole cell extract created by recombining differentially labeled subcellular fractions derived from cells in which proteins have been mass-labeled with heavy isotopes. This was used here to measure the relative distribution between cytoplasm, nucleus, and nucleolus of over 2,000 proteins in HCT116 cells. The data show that, at steady state, the proteome is predominantly partitioned into specific subcellular locations with only a minor subset of proteins equally distributed between two or more compartments. Spatial proteomics also facilitates a proteome-wide comparison of changes in protein localization in response to a wide range of physiological and experimental perturbations, shown here by characterizing dynamic changes in protein localization elicited during the cellular response to DNA damage following treatment of HCT116 cells with etoposide. DNA damage was found to cause dissociation of the proteasome from inhibitory proteins and assembly chaperones in the cytoplasm and relocation to associate with proteasome activators in the nucleus. PMID:20026476

  17. Improvements in proteomic metrics of low abundance proteins through proteome equalization using ProteoMiner prior to MudPIT

    PubMed Central

    Fonslow, Bryan R.; Carvalho, Paulo C.; Academia, Katrina; Freeby, Steve; Xu, Tao; Nakorchevsky, Aleksey; Paulus, Aran; Yates, John R.

    2011-01-01

    Ideally shotgun proteomics would facilitate the identification of an entire proteome with 100% protein sequence coverage. In reality, the large dynamic range and complexity of cellular proteomes results in oversampling of abundant proteins, while peptides from low abundance proteins are undersampled or remain undetected. We tested the proteome equalization technology, ProteoMiner, in conjunction with Multidimensional Protein Identification Technology (MudPIT) to determine how the equalization of protein dynamic range could improve shotgun proteomics methods for the analysis of cellular proteomes. Our results suggest low abundance protein identifications were improved by two mechanisms: (1) depletion of high abundance proteins freed ion trap sampling space usually occupied by high abundance peptides and (2) enrichment of low abundance proteins increased the probability of sampling their corresponding more abundant peptides. Both mechanisms also contributed to dramatic increases in the quantity of peptides identified and the quality of MS/MS spectra acquired due to increases in precursor intensity of peptides from low abundance proteins. From our large data set of identified proteins, we categorized the dominant physicochemical factors which facilitate proteome equalization with a hexapeptide library. These results illustrate that equalization of the dynamic range of the cellular proteome is a promising methodology to improve low abundance protein identification confidence, reproducibility, and sequence coverage in shotgun proteomics experiments, opening a new avenue of research for improving proteome coverage. PMID:21702434

  18. Plasmodium vivax trophozoite-stage proteomes

    PubMed Central

    Anderson, D.C.; Lapp, Stacey A.; Akinyi, Sheila; Meyer, Esmeralda V.S.; Barnwell, John W.; Korir-Morrison, Cindy; Galinski, Mary R.

    2015-01-01

    Plasmodium vivax is the causative infectious agent of 80–300 million annual cases of malaria. Many aspects of this parasite’s biology remain unknown. To further elucidate the interaction of P. vivax with its Saimiri boliviensis host, we obtained detailed proteomes of infected red blood cells, representing the trophozoite-enriched stage of development. Data from two of three biological replicate proteomes, emphasized here, were analyzed using five search engines, which enhanced identifications and resulted in the most comprehensive P. vivax proteomes to date, with 1375 P. vivax and 3209 S. boliviensis identified proteins. Ribosome subunit proteins were noted for both P. vivax and S. boliviensis, consistent with P. vivax’s known reticulocyte host–cell specificity. A majority of the host and pathogen proteins identified belong to specific functional categories, and several parasite gene families, while 33% of the P. vivax proteins have no reported function. Hemoglobin was significantly oxidized in both proteomes, and additional protein oxidation and nitration was detected in one of the two proteomes. Detailed analyses of these post-translational modifications are presented. The proteins identified here significantly expand the known P. vivax proteome and complexity of available host protein functionality underlying the host–parasite interactive biology, and reveal unsuspected oxidative modifications that may impact protein function. Biological significance Plasmodium vivax malaria is a serious neglected disease, causing an estimated 80 to 300 million cases annually in 95 countries. Infection can result in significant morbidity and possible death. P. vivax, unlike the much better-studied Plasmodium falciparum species, cannot be grown in long-term culture, has a dormant form in the liver called the hypnozoite stage, has a reticulocyte host–cell preference in the blood, and creates caveolae vesicle complexes at the surface of the infected reticulocyte

  19. Next-generation proteomics faces new challenges in environmental biotechnology.

    PubMed

    Armengaud, Jean

    2016-04-01

    Environmental biotechnology relies on the exploration of novel biological systems and a thorough understanding of the underlying molecular mechanisms. Next-generation proteomics based on the latest generation of mass analyzers currently allows the recording of complete proteomes from any microorganism. Interpreting these data can be straightforward if the genome of the organism is established, or relatively easy to perform through proteogenomics approaches if a draft sequence can be obtained. However, next-generation proteomics faces new, interesting challenges when the organism is distantly related to previously characterized organisms or when mixtures of organisms have to be analyzed. New mass spectrometers and innovative bioinformatics tools are reshaping the possibilities of homology-based proteomics, proteogenomics, and metaproteomics for the characterization of biological systems. Novel time- and cost-effective screening strategies are also possible with this methodology, as exemplified by whole proteome thermal profiling and subpopulation proteomics. The complexity of environmental samples allows for unique developments of approaches and concepts. PMID:26950175

  20. Proteomics biomarkers for non-small cell lung cancer.

    PubMed

    Kisluk, Joanna; Ciborowski, Michal; Niemira, Magdalena; Kretowski, Adam; Niklinski, Jacek

    2014-12-01

    In the last decade, proteomic analysis has become an integral tool for investigation of tumor biology, complementing the genetic analysis. The idea of proteomics is to characterize proteins by evaluation of their expressions, functions, and interactions. Proteomics may also provide information about post-translational modifications of proteins and evaluate their value as specific disease biomarkers. The major purpose of clinical proteomics studies is to improve diagnostic procedures including the precise evaluation of biological features of tumor cells and to understand the molecular pathogenesis of cancers to invent novel therapeutic strategies and targets. This review briefly describes the latest reports in proteomic studies of NSCLC. It contains a summary of the methods used to detect proteomic markers in different types of biological material and their clinical application as diagnostic, prognostic, and predictive biomarkers compiled on the basis of the most recent literature and our own experience. PMID:25175018

  1. Proteome identification of the silkworm middle silk gland.

    PubMed

    Li, Jian-Ying; Ye, Lu-Peng; Che, Jia-Qian; Song, Jia; You, Zheng-Ying; Wang, Shao-Hua; Zhong, Bo-Xiong

    2016-03-01

    To investigate the functional differentiation among the anterior (A), middle (M), and posterior (P) regions of silkworm middle silk gland (MSG), their proteomes were characterized by shotgun LC-MS/MS analysis with a LTQ-Orbitrap mass spectrometer. To get better proteome identification and quantification, triplicate replicates of mass spectrometry analysis were performed for each sample. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (Vizcaíno et al., 2014) [1] via the PRIDE partner repository (Vizcaino, 2013) [2] with the dataset identifier PXD003371. The peptide identifications that were further processed by PeptideProphet program in Trans-Proteomic Pipeline (TPP) after database search with Mascot software were also available in .XML format files. Data presented here are related to a research article published in Journal of Proteomics by Li et al. (2015) [3]. PMID:26937469

  2. Proteome identification of the silkworm middle silk gland

    PubMed Central

    Li, Jian-ying; Ye, Lu-peng; Che, Jia-qian; Song, Jia; You, Zheng-ying; Wang, Shao-hua; Zhong, Bo-xiong

    2016-01-01

    To investigate the functional differentiation among the anterior (A), middle (M), and posterior (P) regions of silkworm middle silk gland (MSG), their proteomes were characterized by shotgun LC–MS/MS analysis with a LTQ-Orbitrap mass spectrometer. To get better proteome identification and quantification, triplicate replicates of mass spectrometry analysis were performed for each sample. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (Vizcaíno et al., 2014) [1] via the PRIDE partner repository (Vizcaino, 2013) [2] with the dataset identifier PXD003371. The peptide identifications that were further processed by PeptideProphet program in Trans-Proteomic Pipeline (TPP) after database search with Mascot software were also available in .XML format files. Data presented here are related to a research article published in Journal of Proteomics by Li et al. (2015) [3]. PMID:26937469

  3. Proteomic developments in the analysis of formalin-fixed tissue.

    PubMed

    Gustafsson, Ove J R; Arentz, Georgia; Hoffmann, Peter

    2015-06-01

    Retrospective proteomic studies, including those which aim to elucidate the molecular mechanisms driving cancer, require the assembly and characterization of substantial patient tissue cohorts. The difficulty of maintaining and accessing native tissue archives has prompted the development of methods to access archives of formalin-fixed tissue. Formalin-fixed tissue archives, complete with patient meta data, have accumulated for decades, presenting an invaluable resource for these retrospective studies. This review presents the current knowledge concerning formalin-fixed tissue, with descriptions of the mechanisms of formalin fixation, protein extraction, top-down proteomics, bottom-up proteomics, quantitative proteomics, phospho- and glycoproteomics as well as imaging mass spectrometry. Particular attention has been given to the inclusion of proteomic investigations of archived tumour tissue. This article is part of a Special Issue entitled: Medical Proteomics. PMID:25315853

  4. Recent advances in maize nuclear proteomic studies reveal histone modifications.

    PubMed

    Casati, Paula

    2012-01-01

    The nucleus of eukaryotic organisms is highly dynamic and complex, containing different types of macromolecules including DNA, RNA, and a wide range of proteins. Novel proteomic applications have led to a better overall determination of nucleus protein content. Although nuclear plant proteomics is only at the initial phase, several studies have been reported and are summarized in this review using different plants species, such as Arabidopsis thaliana, rice, cowpea, onion, garden cress, and barrel clover. These include the description of the total nuclear or phospho-proteome (i.e., Arabidopsis, cowpea, onion), or the analysis of the differential nuclear proteome under different growth environments (i.e., Arabidopsis, rice, cowpea, onion, garden cress, and barrel clover). However, only few reports exist on the analysis of the maize nuclear proteome or its changes under various conditions. This review will present recent data on the study of the nuclear maize proteome, including the analysis of changes in posttranslational modifications in histone proteins. PMID:23248634

  5. Proteomics study revealed altered proteome of Dichogaster curgensis upon exposure to fly ash.

    PubMed

    Markad, Vijaykumar L; Adav, Sunil S; Ghole, Vikram S; Sze, Siu Kwan; Kodam, Kisan M

    2016-10-01

    Fly ash is toxic and its escalating use as a soil amendment and disposal by dumping into environment is receiving alarming attention due to its impact on environment. Proteomics technology is being used for environmental studies since proteins respond rapidly when an organism is exposed to a toxicant, and hence soil engineers such as earthworms are used as model organisms to assess the toxic effects of soil toxicants. This study adopted proteomics technology and profiled proteome of earthworm Dichogaster curgensis that was exposed to fly ash, with main aim to elucidate fly ash effects on cellular and metabolic pathways. The functional classification of identified proteins revealed carbohydrate metabolism (14.36%), genetic information processing (15.02%), folding, sorting and degradation (10.83%), replication and repair (3.95%); environmental information processing (2.19%), signal transduction (9.61%), transport and catabolism (17.27%), energy metabolism (6.69%), etc. in the proteome. Proteomics data and functional assays revealed that the exposure of earthworm to fly ash induced protein synthesis, up-regulation of gluconeogenesis, disturbed energy metabolism, oxidative and cellular stress, and mis-folding of proteins. The regulation of ubiquitination, proteasome and modified alkaline comet assay in earthworm coelomocytes suggested DNA-protein cross link affecting chromatin remodeling and protein folding. PMID:27371791

  6. Proteome-Wide Analysis and Diel Proteomic Profiling of the Cyanobacterium Arthrospira platensis PCC 8005

    PubMed Central

    Matallana-Surget, Sabine; Derock, Jérémy; Leroy, Baptiste; Badri, Hanène; Deschoenmaeker, Frédéric; Wattiez, Ruddy

    2014-01-01

    The filamentous cyanobacterium Arthrospira platensis has a long history of use as a food supply and it has been used by the European Space Agency in the MELiSSA project, an artificial microecosystem which supports life during long-term manned space missions. This study assesses progress in the field of cyanobacterial shotgun proteomics and light/dark diurnal cycles by focusing on Arthrospira platensis. Several fractionation workflows including gel-free and gel-based protein/peptide fractionation procedures were used and combined with LC-MS/MS analysis, enabling the overall identification of 1306 proteins, which represents 21% coverage of the theoretical proteome. A total of 30 proteins were found to be significantly differentially regulated under light/dark growth transition. Interestingly, most of the proteins showing differential abundance were related to photosynthesis, the Calvin cycle and translation processes. A novel aspect and major achievement of this work is the successful improvement of the cyanobacterial proteome coverage using a 3D LC-MS/MS approach, based on an immobilized metal affinity chromatography, a suitable tool that enabled us to eliminate the most abundant protein, the allophycocyanin. We also demonstrated that cell growth follows a light/dark cycle in A. platensis. This preliminary proteomic study has highlighted new characteristics of the Arthrospira platensis proteome in terms of diurnal regulation. PMID:24914774

  7. Proteome-wide analysis and diel proteomic profiling of the cyanobacterium Arthrospira platensis PCC 8005.

    PubMed

    Matallana-Surget, Sabine; Derock, Jérémy; Leroy, Baptiste; Badri, Hanène; Deschoenmaeker, Frédéric; Wattiez, Ruddy

    2014-01-01

    The filamentous cyanobacterium Arthrospira platensis has a long history of use as a food supply and it has been used by the European Space Agency in the MELiSSA project, an artificial microecosystem which supports life during long-term manned space missions. This study assesses progress in the field of cyanobacterial shotgun proteomics and light/dark diurnal cycles by focusing on Arthrospira platensis. Several fractionation workflows including gel-free and gel-based protein/peptide fractionation procedures were used and combined with LC-MS/MS analysis, enabling the overall identification of 1306 proteins, which represents 21% coverage of the theoretical proteome. A total of 30 proteins were found to be significantly differentially regulated under light/dark growth transition. Interestingly, most of the proteins showing differential abundance were related to photosynthesis, the Calvin cycle and translation processes. A novel aspect and major achievement of this work is the successful improvement of the cyanobacterial proteome coverage using a 3D LC-MS/MS approach, based on an immobilized metal affinity chromatography, a suitable tool that enabled us to eliminate the most abundant protein, the allophycocyanin. We also demonstrated that cell growth follows a light/dark cycle in A. platensis. This preliminary proteomic study has highlighted new characteristics of the Arthrospira platensis proteome in terms of diurnal regulation. PMID:24914774

  8. Proteome Dynamics Reveals Pro-Inflammatory Remodeling of Plasma Proteome in a Mouse Model of NAFLD.

    PubMed

    Li, Ling; Bebek, Gurkan; Previs, Stephen F; Smith, Jonathan D; Sadygov, Rovshan G; McCullough, Arthur J; Willard, Belinda; Kasumov, Takhar

    2016-09-01

    Nonalcoholic fatty liver disease (NAFLD) is associated with an increased risk of cardiovascular disease. Because the liver is the major source of circulatory proteins, it is not surprising that hepatic disease could lead to alterations in the plasma proteome, which are therein implicated in atherosclerosis. The current study used low-density lipoprotein receptor-deficient (LDLR(-/-)) mice to examine the impact of Western diet (WD)-induced NAFLD on plasma proteome homeostasis. Using a (2)H2O-metabolic labeling method, we found that a WD led to a proinflammatory distribution of circulatory proteins analyzed in apoB-depleted plasma, which was attributed to an increased production. The fractional turnover rates of short-lived proteins that are implicated in stress-response, lipid metabolism, and transport functions were significantly increased with WD (P < 0.05). Pathway analyses revealed that alterations in plasma proteome dynamics were related to the suppression of hepatic PPARα, which was confirmed based on reduced gene and protein expression of PPARα in mice fed a WD. These changes were associated with ∼4-fold increase (P < 0.0001) in the proinflammatory property of apoB-depleted plasma. In conclusion, the proteome dynamics method reveals proinflammatory remodeling of the plasma proteome relevant to liver disease. The approach used herein may provide a useful metric of in vivo liver function and better enable studies of novel therapies surrounding NAFLD and other diseases. PMID:27439437

  9. Plant fluid proteomics: Delving into the xylem sap, phloem sap and apoplastic fluid proteomes.

    PubMed

    Rodríguez-Celma, Jorge; Ceballos-Laita, Laura; Grusak, Michael A; Abadía, Javier; López-Millán, Ana-Flor

    2016-08-01

    The phloem sap, xylem sap and apoplastic fluid play key roles in long and short distance transport of signals and nutrients, and act as a barrier against local and systemic pathogen infection. Among other components, these plant fluids contain proteins which are likely to be important players in their functionalities. However, detailed information about their proteomes is only starting to arise due to the difficulties inherent to the collection methods. This review compiles the proteomic information available to date in these three plant fluids, and compares the proteomes obtained in different plant species in order to shed light into conserved functions in each plant fluid. Inter-species comparisons indicate that all these fluids contain the protein machinery for self-maintenance and defense, including proteins related to cell wall metabolism, pathogen defense, proteolysis, and redox response. These analyses also revealed that proteins may play more relevant roles in signaling in the phloem sap and apoplastic fluid than in the xylem sap. A comparison of the proteomes of the three fluids indicates that although functional categories are somewhat similar, proteins involved are likely to be fluid-specific, except for a small group of proteins present in the three fluids, which may have a universal role, especially in cell wall maintenance and defense. This article is part of a Special Issue entitled: Plant Proteomics--a bridge between fundamental processes and crop production, edited by Dr. Hans-Peter Mock. PMID:27033031

  10. Farm Animal Serum Proteomics and Impact on Human Health

    PubMed Central

    Girolamo, Francesco Di; D’Amato, Alfonsina; Lante, Isabella; Signore, Fabrizio; Muraca, Marta; Putignani, Lorenza

    2014-01-01

    Due to the incompleteness of animal genome sequencing, the analysis and characterization of serum proteomes of most farm animals are still in their infancy, compared to the already well-documented human serum proteome. This review focuses on the implications of the farm animal serum proteomics in order to identify novel biomarkers for animal welfare, early diagnosis, prognosis and monitoring of infectious disease treatment, and develop new vaccines, aiming at determining the reciprocal benefits for humans and animals. PMID:25257521

  11. Proteomics, biomarkers, and HIV‐1: A current perspective

    PubMed Central

    Donnelly, Maire Rose

    2015-01-01

    Despite more than three decades of extensive research, HIV‐1 infection although well controlled with cART, remains incurable. Multifactorial complexity of the viral life‐cycle poses great challenges in understanding molecular mechanisms underlying this infection and the development of biomarkers, which we hope will lead us to its eradication. For a more in‐depth understanding of how the virus interacts with host target cells, T cells and macrophages, proteomic profiling techniques that offer strategies to investigate the proteome in its entirety were employed. Here, we review proteomic studies related to HIV‐1 infection and discuss perspectives and limitations of proteomic and systems biology approaches in future studies. PMID:26033875

  12. Progress in Mining the Human Proteome for Disease Applications

    PubMed Central

    2011-01-01

    Abstract Currently available technologies allow in-depth analysis of multiple facets of the proteome that have clinical relevance and that complement current genomics-based approaches. Although some progress has been made in our knowledge of the human proteome in health and in disease, there is an urgent need to chart a coherent road map with clearly defined milestones to guide proteomics efforts. Areas of emphasis include: (1) building resources, (2) filling gaps in our understanding of biological variation, and (3) systematically characterizing proteome alterations that occur in well-defined disease states, all of which require an organized and collaborative effort. PMID:21375461

  13. Mathematical biodescriptors of proteomics maps: background and applications.

    PubMed

    Basak, Subhash C; Gute, Brian D

    2008-05-01

    This article reviews recent developments in the formulation and application of biodescriptors to characterize proteomics maps. Such biodescriptors can be derived by applying techniques from discrete mathematics (graph theory, linear algebra and information theory). This review focuses on the development of biodescriptors for proteomics maps derived from 2D gel electrophoresis. Preliminary results demonstrated that such descriptors have a reasonable ability to differentiate between proteomics patterns that result from exposure to closely related individual chemicals and complex mixtures, such as the jet fuel JP-8. Further research is required to evaluate the utility of these proteomics-based biodescriptors for drug discovery and predictive toxicology. PMID:18428085

  14. Virtual Labs in proteomics: new E-learning tools.

    PubMed

    Ray, Sandipan; Koshy, Nicole Rachel; Reddy, Panga Jaipal; Srivastava, Sanjeeva

    2012-05-17

    Web-based educational resources have gained enormous popularity recently and are increasingly becoming a part of modern educational systems. Virtual Labs are E-learning platforms where learners can gain the experience of practical experimentation without any direct physical involvement on real bench work. They use computerized simulations, models, videos, animations and other instructional technologies to create interactive content. Proteomics being one of the most rapidly growing fields of the biological sciences is now an important part of college and university curriculums. Consequently, many E-learning programs have started incorporating the theoretical and practical aspects of different proteomic techniques as an element of their course work in the form of Video Lectures and Virtual Labs. To this end, recently we have developed a Virtual Proteomics Lab at the Indian Institute of Technology Bombay, which demonstrates different proteomics techniques, including basic and advanced gel and MS-based protein separation and identification techniques, bioinformatics tools and molecular docking methods, and their applications in different biological samples. This Tutorial will discuss the prominent Virtual Labs featuring proteomics content, including the Virtual Proteomics Lab of IIT-Bombay, and E-resources available for proteomics study that are striving to make proteomic techniques and concepts available and accessible to the student and research community. This Tutorial is part of the International Proteomics Tutorial Programme (IPTP 14). Details can be found at: http://www.proteomicstutorials.org/. PMID:22484059

  15. A Cross-platform Toolkit for Mass Spectrometry and Proteomics

    PubMed Central

    Chambers, Matthew C.; Maclean, Brendan; Burke, Robert; Amodei, Dario; Ruderman, Daniel L; Neumann, Steffen; Gatto, Laurent; Fischer, Bernd; Pratt, Brian; Egertson, Jarrett; Hoff, Katherine; Kessner, Darren; Tasman, Natalie; Shulman, Nicholas; Frewen, Barbara; Baker, Tahmina A.; Brusniak, Mi-Youn; Paulse, Christopher; Creasy, David; Flashner, Lisa; Kani, Kian; Moulding, Chris; Seymour, Sean L.; Nuwaysir, Lydia M.; Lefebvre, Brent; Kuhlmann, Frank; Roark, Joe; Rainer, Paape; Detlev, Suckau; Hemenway, Tina; Huhmer, Andreas; Langridge, James; Connolly, Brian; Chadick, Trey; Holly, Krisztina; Eckels, Josh; Deutsch, Eric W.; Moritz, Robert L; Katz, Jonathan E.; Agus, David B.; MacCoss, Michael; Tabb, David L.; Mallick, Parag

    2012-01-01

    Mass-spectrometry-based proteomics has become an important component of biological research. Numerous proteomics methods have been developed to identify and quantify the proteins in biological and clinical samples1, identify pathways affected by endogenous and exogenous perturbations2, and characterize protein complexes3. Despite successes, the interpretation of vast proteomics datasets remains a challenge. There have been several calls for improvements and standardization of proteomics data analysis frameworks, as well as for an application-programming interface for proteomics data access4,5. In response, we have developed the ProteoWizard Toolkit, a robust set of open-source, software libraries and applications designed to facilitate proteomics research. The libraries implement the first-ever, non-commercial, unified data access interface for proteomics, bridging field-standard open formats and all common vendor formats. In addition, diverse software classes enable rapid development of vendor-agnostic proteomics software. Additionally, ProteoWizard projects and applications, building upon the core libraries, are becoming standard tools for enabling significant proteomics inquiries. PMID:23051804

  16. Single muscle fiber proteomics reveals unexpected mitochondrial specialization

    PubMed Central

    Murgia, Marta; Nagaraj, Nagarjuna; Deshmukh, Atul S; Zeiler, Marlis; Cancellara, Pasqua; Moretti, Irene; Reggiani, Carlo; Schiaffino, Stefano; Mann, Matthias

    2015-01-01

    Mammalian skeletal muscles are composed of multinucleated cells termed slow or fast fibers according to their contractile and metabolic properties. Here, we developed a high-sensitivity workflow to characterize the proteome of single fibers. Analysis of segments of the same fiber by traditional and unbiased proteomics methods yielded the same subtype assignment. We discovered novel subtype-specific features, most prominently mitochondrial specialization of fiber types in substrate utilization. The fiber type-resolved proteomes can be applied to a variety of physiological and pathological conditions and illustrate the utility of single cell type analysis for dissecting proteomic heterogeneity. PMID:25643707

  17. Proteomic Definitions of Mesenchymal Stem Cells

    PubMed Central

    Maurer, Martin H.

    2011-01-01

    Mesenchymal stem cells (MSCs) are pluripotent cells isolated from the bone marrow and various other organs. They are able to proliferate and self-renew, as well as to give rise to progeny of at least the osteogenic, chondrogenic, and adipogenic lineages. Despite this functional definition, MSCs can also be defined by their expression of a distinct set of cell surface markers. In the current paper, studies investigating the proteome of human MSCs are reviewed with the aim to identify common protein markers of MSCs. The proteomic analysis of MSCs revealed a distinct set of proteins representing the basic molecular inventory, including proteins for (i) cell surface markers, (ii) the responsiveness to growth factors, (iii) the reuse of developmental signaling cascades in adult stem cells, (iv) the interaction with molecules of the extracellular matrix, (v) the expression of genes regulating transcription and translation, (vi) the control of the cell number, and (vii) the protection against cellular stress. PMID:21437194

  18. An update of the macaque testis proteome

    PubMed Central

    Zhou, Tao; Guo, Yueshuai; Zhou, Zuomin; Guo, Xuejiang; Sha, Jiahao

    2015-01-01

    The genome sequence of rhesus macaque is a draft version with many errors and is lack of Y chromosome annotation. In the present dataset, we reanalyzed the previously published macaque testis proteome. We searched for refined protein sequences, potential Y chromosome proteins and transcripts predicted proteins in addition to the latest Ensembl protein sequences of macaque. A total of 74,433 peptides corresponding to 9247 protein groups were identified, and the data are supplied in this paper. The updated version of macaque testis proteome provided evidences for predicted genes or transcripts at the peptide level. It can be used for further in-depth proteogenomic annotation of macaque genome and is useful for studying the mechanisms of macaque spermatogenesis. PMID:26484360

  19. Proteomics applications in Caenorhabditis elegans research.

    PubMed

    Husson, Steven J; Moyson, Sofie; Valkenborg, Dirk; Baggerman, Geert; Mertens, Inge

    2015-12-25

    The free-living nematode Caenorhabditis elegans is one of the most studied models in a wide variety of research fields with applications in agro- or pharmaceutical industries. It has been used for the development of new anthelminthic drugs and was proven to yield key insights in neurodegenerative diseases and metabolic syndromes. Due to its suitability for high-throughput genetic screens, efficiency for RNA interference approaches and the availability of thousands of mutants, most studies were carried out at the genetic level. However, determining the cellular function of each gene product remains an unfinished goal in this post-genomic era. A systems biology approach focusing on the actual gene products (i.e. proteins) can help unraveling this puzzle. A fundamental pillar in this research is mass spectrometry-based proteomics. We here provide an in-depth overview of proteomics-related studies in C. elegans research, with special emphasis on the methodologies and biological applications. PMID:26585491

  20. The impact of structural proteomics on biotechnology.

    PubMed

    Manjasetty, Babu; Turnbull, Andrew; Panjikar, Santosh

    2010-01-01

    Structural proteomics (SP) projects are capable of producing thousands of protein structures per year by employing semi-automated technologies. It is too early to assess and evaluate the scientific impact of these protein structures, although SP initiatives have substantially changed the traditional way of protein characterization. Many of the methodologies and technologies developed by SP have been adapted by structural biology laboratories and pharmaceutical companies to lower the costs, increase the speed and productivity of structure determination pipelines and to enhance drug discovery programs. The advent of genomic and proteomic technologies have facilitated rapid advances in our understanding of the molecular details of cellular function. The purpose of this review is to consider the impact of these technologies on protein structure analysis and to illustrate how it's directing the focus of research relevant to biotechnology. PMID:21415888

  1. Mining the plasma proteome for cancer biomarkers.

    PubMed

    Hanash, Samir M; Pitteri, Sharon J; Faca, Vitor M

    2008-04-01

    Systematic searches for plasma proteins that are biological indicators, or biomarkers, for cancer are underway. The difficulties caused by the complexity of biological-fluid proteomes and tissue proteomes (which contribute proteins to plasma) and by the extensive heterogeneity among diseases, subjects and levels of sample procurement are gradually being overcome. This is being achieved through rigorous experimental design and in-depth quantitative studies. The expected outcome is the development of panels of biomarkers that will allow early detection of cancer and prediction of the probable response to therapy. Achieving these objectives requires high-quality specimens with well-matched controls, reagent resources, and an efficient process to confirm discoveries through independent validation studies. PMID:18385731

  2. Purification of specific loci for proteomic analysis

    PubMed Central

    Byrum, Stephanie D.; Taverna, Sean D.; Tackett, Alan J.

    2015-01-01

    Purification of small, native chromatin sections for proteomic identification of specifically bound proteins and histone posttranslational modifications is a powerful approach for studying mechanisms of chromosome metabolism. We detail a Chromatin Affinity Purification with Mass Spectrometry (ChAP-MS) approach for affinity purification of ~1 kb sections of chromatin for targeted proteomic analysis. This approach utilizes quantitative, high resolution mass spectrometry to categorize proteins and histone posttranslational modifications co-enriching with the given chromatin section as either “specific” to the targeted chromatin or “non-specific” contamination. In this way, the ChAP-MS approach can help define and re-define mechanisms of chromatin-templated activities. PMID:25311124

  3. Sperm Proteome: What Is on the Horizon?

    PubMed

    Mohanty, Gayatri; Swain, Nirlipta; Samanta, Luna

    2015-06-01

    As the mammalian spermatozoa transcends from the testis to the end of the epididymal tubule, the functionally incompetent spermatozoa acquires its fertilizing capability. Molecular changes in the spermatozoa at the posttesticular level concern qualitative and quantitative modifications of proteins along with their sugar moieties and membranous lipids mostly associated with motility, egg binding, and penetration processes. Proteomic studies have identified numerous sperm-specific proteins, and recent reports have provided a further understanding of their function with respect to male fertility. High-throughput techniques such as mass spectrometry have shown drastic potential for the identification and study of sperm proteins. In fact, compelling evidence has provided that proteins are critically important in cellular remodeling event and that aberrant expression is associated with pronounced defects in sperm function. This review highlights the posttesticular functional transformation in the epididymis and female reproductive tract with due emphasis on proteomics. PMID:25376881

  4. Comprehensive data analysis of human ureter proteome

    PubMed Central

    Magdeldin, Sameh; Hirao, Yoshitoshi; El Guoshy, Amr; Xu, Bo; Zhang, Ying; Fujinaka, Hidehiko; Yamamoto, Keiko; Yates, John R.; Yamamoto, Tadashi

    2016-01-01

    Comprehensive human ureter proteome dataset was generated from OFFGel fractionated ureter samples. Our result showed that among 2217 non-redundant ureter proteins, 751 protein candidates (33.8%) were detected in urine as urinary protein/polypeptide or exosomal protein. On the other hand, comparing ureter protein hits (48) that are not shown in corresponding databases to urinary bladder and prostate human protein atlas databases pinpointed 21 proteins that might be unique to ureter tissue. In conclusion, this finding offers future perspectives for possible identification of ureter disease-associated biomarkers such as ureter carcinoma. In addition, Cytoscape GO annotation was examined on the final ureter dataset to better understand proteins molecular function, biological processes, and cellular component. The ureter proteomic dataset published in this article will provide a valuable resource for researchers working in the field of urology and urine biomarker discovery. PMID:26937461

  5. Hydrophilic interaction liquid chromatography (HILIC) in proteomics

    PubMed Central

    Boersema, Paul J.; Mohammed, Shabaz

    2008-01-01

    In proteomics, nanoflow multidimensional chromatography is now the gold standard for the separation of complex mixtures of peptides as generated by in-solution digestion of whole-cell lysates. Ideally, the different stationary phases used in multidimensional chromatography should provide orthogonal separation characteristics. For this reason, the combination of strong cation exchange chromatography (SCX) and reversed-phase (RP) chromatography is the most widely used combination for the separation of peptides. Here, we review the potential of hydrophilic interaction liquid chromatography (HILIC) as a separation tool in the multidimensional separation of peptides in proteomics applications. Recent work has revealed that HILIC may provide an excellent alternative to SCX, possessing several advantages in the area of separation power and targeted analysis of protein post-translational modifications. Figure Artistic impression of the HILIC separation mechanism PMID:18264818

  6. Statistical Aspects in Proteomic Biomarker Discovery.

    PubMed

    Jung, Klaus

    2016-01-01

    In the pursuit of a personalized medicine, i.e., the individual treatment of a patient, many medical decision problems are desired to be supported by biomarkers that can help to make a diagnosis, prediction, or prognosis. Proteomic biomarkers are of special interest since they can not only be detected in tissue samples but can also often be easily detected in diverse body fluids. Statistical methods play an important role in the discovery and validation of proteomic biomarkers. They are necessary in the planning of experiments, in the processing of raw signals, and in the final data analysis. This review provides an overview on the most frequent experimental settings including sample size considerations, and focuses on exploratory data analysis and classifier development. PMID:26519185

  7. Leveraging Genomics Software to Improve Proteomics Results

    SciTech Connect

    Fodor, I K; Nelson, D O

    2005-09-06

    Rigorous data analysis techniques are essential in quantifying the differential expression of proteins in biological samples of interest. Statistical methods from the microarray literature were applied to the analysis of two-dimensional difference gel electrophoresis (2-D DIGE) proteomics experiments, in the context of technical variability studies involving human plasma. Protein expression measurements were corrected to account for observed intensity-dependent biases within gels, and normalized to mitigate observed gel to gel variations. The methods improved upon the results achieved using the best currently available 2-D DIGE proteomics software. The spot-wise protein variance was reduced by 10% and the number of apparently differentially expressed proteins was reduced by over 50%.

  8. Collision cross sections for structural proteomics.

    PubMed

    Marklund, Erik G; Degiacomi, Matteo T; Robinson, Carol V; Baldwin, Andrew J; Benesch, Justin L P

    2015-04-01

    Ion mobility mass spectrometry (IM-MS) allows the structural interrogation of biomolecules by reporting their collision cross sections (CCSs). The major bottleneck for exploiting IM-MS in structural proteomics lies in the lack of speed at which structures and models can be related to experimental data. Here we present IMPACT (Ion Mobility Projection Approximation Calculation Tool), which overcomes these twin challenges, providing accurate CCSs up to 10(6) times faster than alternative methods. This allows us to assess the CCS space presented by the entire structural proteome, interrogate ensembles of protein conformers, and monitor molecular dynamics trajectories. Our data demonstrate that the CCS is a highly informative parameter and that IM-MS is of considerable practical value to structural biologists. PMID:25800554

  9. Comprehensive Proteomic Analysis of Human Erythropoiesis.

    PubMed

    Gautier, Emilie-Fleur; Ducamp, Sarah; Leduc, Marjorie; Salnot, Virginie; Guillonneau, François; Dussiot, Michael; Hale, John; Giarratana, Marie-Catherine; Raimbault, Anna; Douay, Luc; Lacombe, Catherine; Mohandas, Narla; Verdier, Frédérique; Zermati, Yael; Mayeux, Patrick

    2016-08-01

    Mass spectrometry-based proteomics now enables the absolute quantification of thousands of proteins in individual cell types. We used this technology to analyze the dynamic proteome changes occurring during human erythropoiesis. We quantified the absolute expression of 6,130 proteins during erythroid differentiation from late burst-forming units-erythroid (BFU-Es) to orthochromatic erythroblasts. A modest correlation between mRNA and protein expression was observed. We identified several proteins with unexpected expression patterns in erythroid cells, highlighting a breakpoint in the erythroid differentiation process at the basophilic stage. We also quantified the distribution of proteins between reticulocytes and pyrenocytes after enucleation. These analyses identified proteins that are actively sorted either with the reticulocyte or the pyrenocyte. Our study provides the absolute quantification of protein expression during a complex cellular differentiation process in humans, and it establishes a framework for future studies of disordered erythropoiesis. PMID:27452463

  10. Proteomic analysis of human osteoarthritis synovial fluid

    PubMed Central

    2014-01-01

    Background Osteoarthritis is a chronic musculoskeletal disorder characterized mainly by progressive degradation of the hyaline cartilage. Patients with osteoarthritis often postpone seeking medical help, which results in the diagnosis being made at an advanced stage of cartilage destruction. Sustained efforts are needed to identify specific markers that might help in early diagnosis, monitoring disease progression and in improving therapeutic outcomes. We employed a multipronged proteomic approach, which included multiple fractionation strategies followed by high resolution mass spectrometry analysis to explore the proteome of synovial fluid obtained from osteoarthritis patients. In addition to the total proteome, we also enriched glycoproteins from synovial fluid using lectin affinity chromatography. Results We identified 677 proteins from synovial fluid of patients with osteoarthritis of which 545 proteins have not been previously reported. These novel proteins included ADAM-like decysin 1 (ADAMDEC1), alanyl (membrane) aminopeptidase (ANPEP), CD84, fibulin 1 (FBLN1), matrix remodelling associated 5 (MXRA5), secreted phosphoprotein 2 (SPP2) and spondin 2 (SPON2). We identified 300 proteins using lectin affinity chromatography, including the glycoproteins afamin (AFM), attractin (ATRN), fibrillin 1 (FBN1), transferrin (TF), tissue inhibitor of metalloproteinase 1 (TIMP1) and vasorin (VSN). Gene ontology analysis confirmed that a majority of the identified proteins were extracellular and are mostly involved in cell communication and signaling. We also confirmed the expression of ANPEP, dickkopf WNT signaling pathway inhibitor 3 (DKK3) and osteoglycin (OGN) by multiple reaction monitoring (MRM) analysis of osteoarthritis synovial fluid samples. Conclusions We present an in-depth analysis of the synovial fluid proteome from patients with osteoarthritis. We believe that the catalog of proteins generated in this study will further enhance our knowledge regarding the

  11. Proteomics of Aggregatibacter actinomycetemcomitans Outer Membrane Vesicles.

    PubMed

    Kieselbach, Thomas; Zijnge, Vincent; Granström, Elisabeth; Oscarsson, Jan

    2015-01-01

    Aggregatibacter actinomycetemcomitans is an oral and systemic pathogen associated with aggressive forms of periodontitis and with endocarditis. Outer membrane vesicles (OMVs) released by this species have been demonstrated to deliver effector proteins such as cytolethal distending toxin (CDT) and leukotoxin (LtxA) into human host cells and to act as triggers of innate immunity upon carriage of NOD1- and NOD2-active pathogen-associated molecular patterns (PAMPs). To improve our understanding of the pathogenicity-associated functions that A. actinomycetemcomitans exports via OMVs, we studied the proteome of density gradient-purified OMVs from a rough-colony type clinical isolate, strain 173 (serotype e) using liquid chromatography-tandem mass spectrometry (LC-MS/MS). This analysis yielded the identification of 151 proteins, which were found in at least three out of four independent experiments. Data are available via ProteomeXchange with identifier PXD002509. Through this study, we not only confirmed the vesicle-associated release of LtxA, and the presence of proteins, which are known to act as immunoreactive antigens in the human host, but we also identified numerous additional putative virulence-related proteins in the A. actinomycetemcomitans OMV proteome. The known and putative functions of these proteins include immune evasion, drug targeting, and iron/nutrient acquisition. In summary, our findings are consistent with an OMV-associated proteome that exhibits several offensive and defensive functions, and they provide a comprehensive basis to further disclose roles of A. actinomycetemcomitans OMVs in periodontal and systemic disease. PMID:26381655

  12. Proteomics Development and Application for Bioforensics

    SciTech Connect

    Wahl, Karen L.; Wunschel, David S.; Clowers, Brian H.

    2010-09-15

    Proteomics is a relatively new scientific discipline dedicated to the comprehensive study of the protein composition of biological systems. While genomic sequencing is an invaluable tool for bioforensic sample identification, proteomics complements genomics in that the genes present in an organism code for the proteins that can be present in a microorganism. Many proteins are conserved for general identification while other protein expression varies with environment/growth state/growth conditions (i.e. not all proteins are expressed at any given time or condition) providing additional information beyond genomic analysis. This expression specificity and the relative stability of proteins with respect to genetic material make them attractive targets for microorganism identification and forensic applications to complement genomic approaches. Proteomic analysis depends upon the availability of genome sequences of the relevant organisms or their near relatives. The known amino acid sequences for potential proteins within the database can be compared to amino acid sequences of actual proteins present in a sample as determined with high mass accuracy by mass spectrometry for identification of the proteins in the sample. With the development of technology for rapid genome sequencing of organisms, the known protein database is growing, supporting improved identification of the proteins present in a sample. Recent developments in mass spectrometry instrumentation and microbial sequencing are leading to an increased growth in application of proteomics to microbiology, pathogen detection, disease diagnosis and microbial forensics as well as other biological disciplines. Mass spectrometry analysis does not require a priori knowledge of the sample or expected targets to gain meaningful.

  13. Global MS-Based Proteomics Drug Profiling.

    PubMed

    Carvalho, Ana Sofia; Matthiesen, Rune

    2016-01-01

    DNA-based technologies such as RNAi, chemical-genetic profiling, or gene expression profiling by DNA microarrays combined with other biochemical methods are established strategies for surveying drug mechanisms. Such approaches can provide mechanistic information on how drugs act and affect cellular pathways. By studying how cancer cells compensate for the drug treatment, novel targets used in a combined treatment can be designed. Furthermore, toxicity effects on cells not targeted can be obtained on a molecular level. For example, drug companies are particularly interested in studying the molecular side effects of drugs in the liver. In addition, experiments with the purpose of elucidating liver toxicity can be studied using samples obtained from animal models exposed to different concentrations of a drug over time. More recently considerable advances in mass spectrometry (MS) technologies and bioinformatics tools allows informative global drug profiling experiments to be performed at a cost comparable to other large-scale technologies such as DNA-based technologies. Moreover, MS-based proteomics provides an additional layer of information on the dynamic regulation of proteins translation and particularly protein degradation. MS-based proteomics approaches combined with other biochemical methods delivers information on regulatory networks, signaling cascades, and metabolic pathways upon drug treatment. Furthermore, MS-based proteomics can provide additional information on single amino acid polymorphisms, protein isoform distribution, posttranslational modifications, and subcellular localization. In this chapter, we will share our experience using MS based proteomics as a pharmacoproteomics strategy to characterize drug mechanisms of action in single drug therapy or in multidrug combination. Finally, the emergence of integrated proteogenomics analysis, such as "The Cancer Genome Atlas" program, opened interesting perspectives to extend this approach to drug target

  14. Proteomics of Aggregatibacter actinomycetemcomitans Outer Membrane Vesicles

    PubMed Central

    Kieselbach, Thomas; Zijnge, Vincent; Granström, Elisabeth; Oscarsson, Jan

    2015-01-01

    Aggregatibacter actinomycetemcomitans is an oral and systemic pathogen associated with aggressive forms of periodontitis and with endocarditis. Outer membrane vesicles (OMVs) released by this species have been demonstrated to deliver effector proteins such as cytolethal distending toxin (CDT) and leukotoxin (LtxA) into human host cells and to act as triggers of innate immunity upon carriage of NOD1- and NOD2-active pathogen-associated molecular patterns (PAMPs). To improve our understanding of the pathogenicity-associated functions that A. actinomycetemcomitans exports via OMVs, we studied the proteome of density gradient-purified OMVs from a rough-colony type clinical isolate, strain 173 (serotype e) using liquid chromatography-tandem mass spectrometry (LC-MS/MS). This analysis yielded the identification of 151 proteins, which were found in at least three out of four independent experiments. Data are available via ProteomeXchange with identifier PXD002509. Through this study, we not only confirmed the vesicle-associated release of LtxA, and the presence of proteins, which are known to act as immunoreactive antigens in the human host, but we also identified numerous additional putative virulence-related proteins in the A. actinomycetemcomitans OMV proteome. The known and putative functions of these proteins include immune evasion, drug targeting, and iron/nutrient acquisition. In summary, our findings are consistent with an OMV-associated proteome that exhibits several offensive and defensive functions, and they provide a comprehensive basis to further disclose roles of A. actinomycetemcomitans OMVs in periodontal and systemic disease. PMID:26381655

  15. Multivariate data analysis of proteome data.

    PubMed

    Engkilde, Kåre; Jacobsen, Susanne; Søndergaard, Ib

    2007-01-01

    We present the background for multivariate data analysis on proteomics data with a hands-on section on how to transfer data between different software packages. The techniques can also be used for other biological and biochemical problems in which structures have to be found in a large amount of data. Digitalization of the 2D gels, analysis using image processing software, transfer of data, multivariate data analysis, interpretation of the results, and finally we return to biology. PMID:17093312

  16. Unveiling the Trypanosoma cruzi Nuclear Proteome

    PubMed Central

    dos Santos Júnior, Agenor de Castro Moreira; Kalume, Dário Eluan; Camargo, Ricardo; Gómez-Mendoza, Diana Paola; Correa, José Raimundo; Charneau, Sébastien; de Sousa, Marcelo Valle; de Lima, Beatriz Dolabela; Ricart, Carlos André Ornelas

    2015-01-01

    Replication of Trypanosoma cruzi, the etiological agent of Chagas disease, displays peculiar features, such as absence of chromosome condensation and closed mitosis. Although previous proteome and subproteome analyses of T. cruzi have been carried out, the nuclear subproteome of this protozoan has not been described. Here, we report, for the first time to the best of our knowledge, the isolation and proteome analysis of T. cruzi nuclear fraction. For that, T. cruzi epimastigote cells were lysed and subjected to cell fractionation using two steps of sucrose density gradient centrifugation. The purity of the nuclear fraction was confirmed by phase contrast and fluorescence microscopy. Liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) allowed the identification of 864 proteins. Among those, 272 proteins were annotated as putative uncharacterized, and 275 had not been previously reported on global T. cruzi proteome analysis. Additionally, to support our enrichment method, bioinformatics analysis in DAVID was carried out. It grouped the nuclear proteins in 65 gene clusters, wherein the clusters with the highest enrichment scores harbor members with chromatin organization and DNA binding functions. PMID:26383644

  17. Unveiling the Trypanosoma cruzi Nuclear Proteome.

    PubMed

    dos Santos Júnior, Agenor de Castro Moreira; Kalume, Dário Eluan; Camargo, Ricardo; Gómez-Mendoza, Diana Paola; Correa, José Raimundo; Charneau, Sébastien; de Sousa, Marcelo Valle; de Lima, Beatriz Dolabela; Ricart, Carlos André Ornelas

    2015-01-01

    Replication of Trypanosoma cruzi, the etiological agent of Chagas disease, displays peculiar features, such as absence of chromosome condensation and closed mitosis. Although previous proteome and subproteome analyses of T. cruzi have been carried out, the nuclear subproteome of this protozoan has not been described. Here, we report, for the first time to the best of our knowledge, the isolation and proteome analysis of T. cruzi nuclear fraction. For that, T. cruzi epimastigote cells were lysed and subjected to cell fractionation using two steps of sucrose density gradient centrifugation. The purity of the nuclear fraction was confirmed by phase contrast and fluorescence microscopy. Liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) allowed the identification of 864 proteins. Among those, 272 proteins were annotated as putative uncharacterized, and 275 had not been previously reported on global T. cruzi proteome analysis. Additionally, to support our enrichment method, bioinformatics analysis in DAVID was carried out. It grouped the nuclear proteins in 65 gene clusters, wherein the clusters with the highest enrichment scores harbor members with chromatin organization and DNA binding functions. PMID:26383644

  18. Interaction analysis through proteomic phage display.

    PubMed

    Sundell, Gustav N; Ivarsson, Ylva

    2014-01-01

    Phage display is a powerful technique for profiling specificities of peptide binding domains. The method is suited for the identification of high-affinity ligands with inhibitor potential when using highly diverse combinatorial peptide phage libraries. Such experiments further provide consensus motifs for genome-wide scanning of ligands of potential biological relevance. A complementary but considerably less explored approach is to display expression products of genomic DNA, cDNA, open reading frames (ORFs), or oligonucleotide libraries designed to encode defined regions of a target proteome on phage particles. One of the main applications of such proteomic libraries has been the elucidation of antibody epitopes. This review is focused on the use of proteomic phage display to uncover protein-protein interactions of potential relevance for cellular function. The method is particularly suited for the discovery of interactions between peptide binding domains and their targets. We discuss the largely unexplored potential of this method in the discovery of domain-motif interactions of potential biological relevance. PMID:25295249

  19. The proteomic approach in Parkinson's disease.

    PubMed

    Fasano, Mauro; Bergamasco, Bruno; Lopiano, Leonardo

    2007-11-01

    Parkinson's disease (PD) is a complex, multifactorial neurodegenerative disease affecting about 2% of the population over 65 years. Etiopathogenetic mechanisms of PD are not fully understood, although a number of factors contributing to the selective degeneration of substantia nigra neurons have been identified, including mitochondrial dysfunction, proteasomal impairment, oxidative stress, excitotoxicity, and inflammation. Although a global view of the disease at the molecular level can be obtained only from the biochemical analysis of the affected human tissue, difficulties in obtaining human specimens of the affected area have limited substantially the number of reports published to date. Therefore, cellular and animal models of the disease have been developed to investigate single factors contributing to disease pathogenesis, e.g., protein aggregation or altered dopamine homeostasis. In this review, we report how proteomic methodologies have been used so far to investigate cellular and animal models of PD, as well as to compare postmortem specimens of substantia nigra of affected patients to that of control subjects. Proteomic studies concur to highlight the role of a compromised antioxidant defense in PD pathogenesis. The proteomic approach in the investigation of etiopathogenetic mechanisms of PD is still at its beginning, however, the findings reviewed here should serve as a useful foundation to further work. PMID:21136640

  20. Defining the extracellular matrix using proteomics

    PubMed Central

    Byron, Adam; Humphries, Jonathan D; Humphries, Martin J

    2013-01-01

    The cell microenvironment has a profound influence on the behaviour, growth and survival of cells. The extracellular matrix (ECM) provides not only mechanical and structural support to cells and tissues but also binds soluble ligands and transmembrane receptors to provide spatial coordination of signalling processes. The ability of cells to sense the chemical, mechanical and topographical features of the ECM enables them to integrate complex, multiparametric information into a coherent response to the surrounding microenvironment. Consequently, dysregulation or mutation of ECM components results in a broad range of pathological conditions. Characterization of the composition of ECM derived from various cells has begun to reveal insights into ECM structure and function, and mechanisms of disease. Proteomic methodologies permit the global analysis of subcellular systems, but extracellular and transmembrane proteins present analytical difficulties to proteomic strategies owing to the particular biochemical properties of these molecules. Here, we review advances in proteomic approaches that have been applied to furthering our understanding of the ECM microenvironment. We survey recent studies that have addressed challenges in the analysis of ECM and discuss major outcomes in the context of health and disease. In addition, we summarize efforts to progress towards a systems-level understanding of ECM biology. PMID:23419153

  1. Proteomic identification of biomarkers of vascular injury

    PubMed Central

    Huang, Ngan F; Kurpinski, Kyle; Fang, Qizhi; Lee, Randall J; Li, Song

    2011-01-01

    Predictive biomarkers may be beneficial for detecting, diagnosing, and assessing the risk of restenosis and vascular injury. We utilized proteomic profiling to identify protein markers in the blood following vascular injury, and corroborated the differential protein expression with immunological approaches. Rats underwent carotid artery injury, and plasma was collected after 2 or 5 weeks. Proteomic profiling was carried out by two-dimensional differential in-gel electrophoresis. The differentially expressed plasma proteins were identified by mass spectroscopy and confirmed by immunoblotting. Proteomic profiling by two-dimensional differential in-gel electrophoresis and mass spectroscopy revealed plasma proteins that were differentially expressed at 2 weeks after injury. Among the proteins identified included vitamin D binding protein (VDBP), aldolase A (aldo A), and apolipoproteinE (apoE). Immunoblotting results validated a significant reduction in these proteins in the plasma at 2 or 5 weeks after vascular injury, in comparison to control animals without vascular injury. These findings suggest that VDBP, aldo A, and apoE may be biomarkers for vascular injury, which will have important prognostic and diagnostic implications. PMID:21416056

  2. Restricting Fermentative Potential by Proteome Remodeling

    PubMed Central

    Clair, Gérémy; Armengaud, Jean; Duport, Catherine

    2012-01-01

    Pathogenesis hinges on successful colonization of the gastrointestinal (GI) tract by pathogenic facultative anaerobes. The GI tract is a carbohydrate-limited environment with varying oxygen availability and oxidoreduction potential (ORP). How pathogenic bacteria are able to adapt and grow in these varying conditions remains a key fundamental question. Here, we designed a system biology-inspired approach to pinpoint the key regulators allowing Bacillus cereus to survive and grow efficiently under low ORP anoxic conditions mimicking those encountered in the intestinal lumen. We assessed the proteome components using high throughput nanoLC-MS/MS techniques, reconstituted the main metabolic circuits, constructed ΔohrA and ΔohrR mutants, and analyzed the impacts of ohrA and ohrR disruptions by a novel round of shotgun proteomics. Our study revealed that OhrR and OhrA are crucial to the successful adaptation of B. cereus to the GI tract environment. Specifically, we showed that B. cereus restricts its fermentative growth under low ORP anaerobiosis and sustains efficient aerobic respiratory metabolism, motility, and stress response via OhrRA-dependent proteome remodeling. Finally, our results introduced a new adaptive strategy where facultative anaerobes prefer to restrict their fermentative potential for a long term benefit. PMID:22232490

  3. Proteomic evaluation of sheep serum proteins

    PubMed Central

    2012-01-01

    Background The applications of proteomic strategies to ovine medicine remain limited. The definition of serum proteome may be a good tool to identify useful protein biomarkers for recognising sub-clinical conditions and overt disease in sheep. Findings from bovine species are often directly translated for use in ovine medicine. In order to characterize normal protein patterns and improve knowledge of molecular species-specific characteristics, we generated a two-dimensional reference map of sheep serum. The possible application of this approach was tested by analysing serum protein patterns in ewes with mild broncho-pulmonary disease, which is very common in sheep and in the peripartum period which is a stressful time, with a high incidence of infectious and parasitic diseases. Results This study generated the first reference 2-DE maps of sheep serum. Overall, 250 protein spots were analyzed, and 138 identified. Compared with healthy sheep, serum protein profiles of animals with rhino-tracheo-bronchitis showed a significant decrease in protein spots identified as transthyretin, apolipoprotein A1 and a significant increase in spots identified as haptoglobin, endopin 1b and alpha1B glycoprotein. In the peripartum period, haptoglobin, alpha-1-acid glycoprotein, apolipoprotein A1 levels rose, while transthyretin content dropped. Conclusions This study describes applications of proteomics in putative biomarker discovery for early diagnosis as well as for monitoring the physiological and metabolic situations critical for ovine welfare. PMID:22630135

  4. Structural bioinformatics of the human spliceosomal proteome

    PubMed Central

    Korneta, Iga; Magnus, Marcin; Bujnicki, Janusz M.

    2012-01-01

    In this work, we describe the results of a comprehensive structural bioinformatics analysis of the spliceosomal proteome. We used fold recognition analysis to complement prior data on the ordered domains of 252 human splicing proteins. Examples of newly identified domains include a PWI domain in the U5 snRNP protein 200K (hBrr2, residues 258–338), while examples of previously known domains with a newly determined fold include the DUF1115 domain of the U4/U6 di-snRNP protein 90K (hPrp3, residues 540–683). We also established a non-redundant set of experimental models of spliceosomal proteins, as well as constructed in silico models for regions without an experimental structure. The combined set of structural models is available for download. Altogether, over 90% of the ordered regions of the spliceosomal proteome can be represented structurally with a high degree of confidence. We analyzed the reduced spliceosomal proteome of the intron-poor organism Giardia lamblia, and as a result, we proposed a candidate set of ordered structural regions necessary for a functional spliceosome. The results of this work will aid experimental and structural analyses of the spliceosomal proteins and complexes, and can serve as a starting point for multiscale modeling of the structure of the entire spliceosome. PMID:22573172

  5. Erythrocyte and platelet proteomics in hematological disorders.

    PubMed

    Chakrabarti, Abhijit; Halder, Suchismita; Karmakar, Shilpita

    2016-04-01

    Erythrocytes undergo ineffective erythropoesis, hemolysis, and premature eryptosis in sickle cell disease and thalassemia. Abnormal hemoglobin variants associated with hemoglobinopathy lead to vesiculation, membrane instability, and loss of membrane asymmetry with exposal of phosphatidylserine. This potentiates thrombin generation resulting in activation of the coagulation cascade responsible for subclinical phenotypes. Platelet activation also results in the release of microparticles, which express and transfer functional receptors from platelet membrane, playing key roles in vascular reactivity and activation of intracellular signaling pathways. Over the last decade, proteomics had proven to be an important field of research in studies of blood and blood diseases. Blood cells and its fluidic components have been proven to be easy systems for studying differential expressions of proteins in hematological diseases encompassing hemoglobinopathies, different types of anemias, myeloproliferative disorders, and coagulopathies. Proteomic studies of erythrocytes and platelets reported from several groups have highlighted various factors that intersect the signaling networks in these anucleate systems. In this review, we have elaborated on the current scenario of anucleate blood cell proteomes in normal and diseased individuals and the cross-talk between the two major constituent cell types of circulating blood. PMID:26611378

  6. Plant-bacterium interactions analyzed by proteomics

    PubMed Central

    Afroz, Amber; Zahur, Muzna; Zeeshan, Nadia; Komatsu, Setsuko

    2013-01-01

    The evolution of the plant immune response has resulted in a highly effective defense system that is able to resist potential attack by microbial pathogens. The primary immune response is referred to as pathogen associated molecular pattern (PAMP) triggered immunity and has evolved to recognize common features of microbial pathogens. In response to the delivery of pathogen effector proteins, plants acquired R proteins to fight against pathogen attack. R-dependent defense response is important in understanding the biochemical and cellular mechanisms and underlying these interactions will enable molecular and transgenic approaches for crops with increased biotic resistance. Proteomic analyses are particularly useful for understanding the mechanisms of host plant against the pathogen attack. Recent advances in the field of proteome analyses have initiated a new research area, i.e., the analysis of more complex microbial communities and their interaction with plant. Such areas hold great potential to elucidate, not only the interactions between bacteria and their host plants, but also of bacteria-bacteria interactions between different bacterial taxa, symbiotic, pathogenic bacteria, and commensal bacteria. During biotic stress, plant hormonal signaling pathways prioritizes defense over other cellular functions. Some plant pathogens take advantage of hormone dependent regulatory system by mimicking hormones that interfere with host immune responses to promote virulence (vir). In this review, it is discussed the cross talk that plays important role in response to pathogens attack with different infection strategies using proteomic approaches. PMID:23424014

  7. Interaction Analysis through Proteomic Phage Display

    PubMed Central

    2014-01-01

    Phage display is a powerful technique for profiling specificities of peptide binding domains. The method is suited for the identification of high-affinity ligands with inhibitor potential when using highly diverse combinatorial peptide phage libraries. Such experiments further provide consensus motifs for genome-wide scanning of ligands of potential biological relevance. A complementary but considerably less explored approach is to display expression products of genomic DNA, cDNA, open reading frames (ORFs), or oligonucleotide libraries designed to encode defined regions of a target proteome on phage particles. One of the main applications of such proteomic libraries has been the elucidation of antibody epitopes. This review is focused on the use of proteomic phage display to uncover protein-protein interactions of potential relevance for cellular function. The method is particularly suited for the discovery of interactions between peptide binding domains and their targets. We discuss the largely unexplored potential of this method in the discovery of domain-motif interactions of potential biological relevance. PMID:25295249

  8. Proteomics: a biotechnology tool for crop improvement

    PubMed Central

    Eldakak, Moustafa; Milad, Sanaa I. M.; Nawar, Ali I.; Rohila, Jai S.

    2013-01-01

    A sharp decline in the availability of arable land and sufficient supply of irrigation water along with a continuous steep increase in food demands have exerted a pressure on farmers to produce more with fewer resources. A viable solution to release this pressure is to speed up the plant breeding process by employing biotechnology in breeding programs. The majority of biotechnological applications rely on information generated from various -omic technologies. The latest outstanding improvements in proteomic platforms and many other but related advances in plant biotechnology techniques offer various new ways to encourage the usage of these technologies by plant scientists for crop improvement programs. A combinatorial approach of accelerated gene discovery through genomics, proteomics, and other associated -omic branches of biotechnology, as an applied approach, is proving to be an effective way to speed up the crop improvement programs worldwide. In the near future, swift improvements in -omic databases are becoming critical and demand immediate attention for the effective utilization of these techniques to produce next-generation crops for the progressive farmers. Here, we have reviewed the recent advances in proteomics, as tools of biotechnology, which are offering great promise and leading the path toward crop improvement for sustainable agriculture. PMID:23450788

  9. The Nuclear Proteome of a Vertebrate.

    PubMed

    Wühr, Martin; Güttler, Thomas; Peshkin, Leonid; McAlister, Graeme C; Sonnett, Matthew; Ishihara, Keisuke; Groen, Aaron C; Presler, Marc; Erickson, Brian K; Mitchison, Timothy J; Kirschner, Marc W; Gygi, Steven P

    2015-10-19

    The composition of the nucleoplasm determines the behavior of key processes such as transcription, yet there is still no reliable and quantitative resource of nuclear proteins. Furthermore, it is still unclear how the distinct nuclear and cytoplasmic compositions are maintained. To describe the nuclear proteome quantitatively, we isolated the large nuclei of frog oocytes via microdissection and measured the nucleocytoplasmic partitioning of ∼9,000 proteins by mass spectrometry. Most proteins localize entirely to either nucleus or cytoplasm; only ∼17% partition equally. A protein's native size in a complex, but not polypeptide molecular weight, is predictive of localization: partitioned proteins exhibit native sizes larger than ∼100 kDa, whereas natively smaller proteins are equidistributed. To evaluate the role of nuclear export in maintaining localization, we inhibited Exportin 1. This resulted in the expected re-localization of proteins toward the nucleus, but only 3% of the proteome was affected. Thus, complex assembly and passive retention, rather than continuous active transport, is the dominant mechanism for the maintenance of nuclear and cytoplasmic proteomes. PMID:26441354

  10. Proteomics: a biotechnology tool for crop improvement.

    PubMed

    Eldakak, Moustafa; Milad, Sanaa I M; Nawar, Ali I; Rohila, Jai S

    2013-01-01

    A sharp decline in the availability of arable land and sufficient supply of irrigation water along with a continuous steep increase in food demands have exerted a pressure on farmers to produce more with fewer resources. A viable solution to release this pressure is to speed up the plant breeding process by employing biotechnology in breeding programs. The majority of biotechnological applications rely on information generated from various -omic technologies. The latest outstanding improvements in proteomic platforms and many other but related advances in plant biotechnology techniques offer various new ways to encourage the usage of these technologies by plant scientists for crop improvement programs. A combinatorial approach of accelerated gene discovery through genomics, proteomics, and other associated -omic branches of biotechnology, as an applied approach, is proving to be an effective way to speed up the crop improvement programs worldwide. In the near future, swift improvements in -omic databases are becoming critical and demand immediate attention for the effective utilization of these techniques to produce next-generation crops for the progressive farmers. Here, we have reviewed the recent advances in proteomics, as tools of biotechnology, which are offering great promise and leading the path toward crop improvement for sustainable agriculture. PMID:23450788

  11. The broccoli (Brassica oleracea) phloem tissue proteome

    PubMed Central

    2013-01-01

    Background The transport of sugars, hormones, amino acids, proteins, sugar alcohols, and other organic compounds from the sites of synthesis to the sites of use or storage occurs through the conducting cells of the phloem. To better understand these processes a comprehensive understanding of the proteins involved is required. While a considerable amount of data has been obtained from proteomic analyses of phloem sap, this has mainly served to identify the soluble proteins that are translocated through the phloem network. Results In order to obtain more comprehensive proteomic data from phloem tissue we developed a simple dissection procedure to isolate phloem tissue from Brassica oleracea. The presence of a high density of phloem sieve elements was confirmed using light microscopy and fluorescently labeled sieve element-specific antibodies. To increase the depth of the proteomic analysis for membrane bound and associated proteins, soluble proteins were extracted first and subsequent extractions were carried out using two different detergents (SDS and CHAPSO). Across all three extractions almost four hundred proteins were identified and each extraction method added to the analysis demonstrating the utility of an approach combining several extraction protocols. Conclusions The phloem was found to be enriched in proteins associated with biotic and abiotic stress responses and structural proteins. Subsequent expression analysis identified a number of genes that appear to be expressed exclusively or at very high levels in phloem tissue, including genes that are known to express specifically in the phloem as well as novel phloem genes. PMID:24195484

  12. The Clathrin-dependent Spindle Proteome.

    PubMed

    Rao, Sushma R; Flores-Rodriguez, Neftali; Page, Scott L; Wong, Chin; Robinson, Phillip J; Chircop, Megan

    2016-08-01

    The mitotic spindle is required for chromosome congression and subsequent equal segregation of sister chromatids. These processes involve a complex network of signaling molecules located at the spindle. The endocytic protein, clathrin, has a "moonlighting" role during mitosis, whereby it stabilizes the mitotic spindle. The signaling pathways that clathrin participates in to achieve mitotic spindle stability are unknown. Here, we assessed the mitotic spindle proteome and phosphoproteome in clathrin-depleted cells using quantitative MS/MS (data are available via ProteomeXchange with identifier PXD001603). We report a spindle proteome that consists of 3046 proteins and a spindle phosphoproteome consisting of 5157 phosphosites in 1641 phosphoproteins. Of these, 2908 (95.4%) proteins and 1636 (99.7%) phosphoproteins are known or predicted spindle-associated proteins. Clathrin-depletion from spindles resulted in dysregulation of 121 proteins and perturbed signaling to 47 phosphosites. The majority of these proteins increased in mitotic spindle abundance and six of these were validated by immunofluorescence microscopy. Functional pathway analysis confirmed the reported role of clathrin in mitotic spindle stabilization for chromosome alignment and highlighted possible new mechanisms of clathrin action. The data also revealed a novel second mitotic role for clathrin in bipolar spindle formation. PMID:27174698

  13. Connecting Genomic Alterations to Cancer Biology with Proteomics: The NCI Clinical Proteomic Tumor Analysis Consortium

    SciTech Connect

    Ellis, Matthew; Gillette, Michael; Carr, Steven A.; Paulovich, Amanda G.; Smith, Richard D.; Rodland, Karin D.; Townsend, Reid; Kinsinger, Christopher; Mesri, Mehdi; Rodriguez, Henry; Liebler, Daniel

    2013-10-03

    The National Cancer Institute (NCI) Clinical Proteomic Tumor Analysis Consortium is applying the latest generation of proteomic technologies to genomically annotated tumors from The Cancer Genome Atlas (TCGA) program, a joint initiative of the NCI and the National Human Genome Research Institute. By providing a fully integrated accounting of DNA, RNA, and protein abnormalities in individual tumors, these datasets will illuminate the complex relationship between genomic abnormalities and cancer phenotypes, thus producing biologic insights as well as a wave of novel candidate biomarkers and therapeutic targets amenable to verifi cation using targeted mass spectrometry methods.

  14. Knowledge Translation: Moving Proteomics Science to Innovation in Society.

    PubMed

    Holmes, Christina; McDonald, Fiona; Jones, Mavis; Graham, Janice

    2016-06-01

    Proteomics is one of the pivotal next-generation biotechnologies in the current "postgenomics" era. Little is known about the ways in which innovative proteomics science is navigating the complex socio-political space between laboratory and society. It cannot be assumed that the trajectory between proteomics laboratory and society is linear and unidirectional. Concerned about public accountability and hopes for knowledge-based innovations, funding agencies and citizens increasingly expect that emerging science and technologies, such as proteomics, are effectively translated and disseminated as innovation in society. Here, we describe translation strategies promoted in the knowledge translation (KT) and science communication literatures and examine the use of these strategies within the field of proteomics. Drawing on data generated from qualitative interviews with proteomics scientists and ethnographic observation of international proteomics conferences over a 5-year period, we found that proteomics science incorporates a variety of KT strategies to reach knowledge users outside the field. To attain the full benefit of KT, however, proteomics scientists must challenge their own normative assumptions and approaches to innovation dissemination-beyond the current paradigm relying primarily on publication for one's scientific peers within one's field-and embrace the value of broader (interdisciplinary) KT strategies in promoting the uptake of their research. Notably, the Human Proteome Organization (HUPO) is paying increasing attention to a broader range of KT strategies, including targeted dissemination, integrated KT, and public outreach. We suggest that increasing the variety of KT strategies employed by proteomics scientists is timely and would serve well the omics system sciences community. PMID:27223900

  15. Rice proteomics: A move toward expanded proteome coverage to comparative and functional proteomics uncovers the mysteries of rice and plant biology.

    PubMed

    Agrawal, Ganesh Kumar; Rakwal, Randeep

    2011-05-01

    Growing rice is an important socio-economic activity. Rice proteomics has achieved a tremendous progress in establishing techniques to proteomes of almost all tissues, organs, and organelles during the past one decade (year 2000-2010). We have compiled these progresses time to time over this period. The present compilation discusses proteomics research in rice published between 1st April 2008 and 30th July 2010. Progress continues mainly towards protein cataloging deep into the proteome with high-confident protein assignment and some functional significance than ever before by (i) identifying previously unreported/low-abundance proteins, (ii) quantifying relative/absolute values of proteins, (iii) assigning protein responses to biotic/abiotic stresses, (iv) protein localization into organelles, (v) validating previous proteomes and eliminating false-positive proteins, and (vi) discovering potential biomarkers for tissues, organs, organelles, and for screening transgenic plants and food-safety evaluation. The notable achievements in global mapping of phosphorylation sites and identifying several novel secreted proteins into the extracellular space are worth appreciating. Our ever-increasing knowledge on the rice proteomics is beginning to impact the biology of not only rice, but also crops and plants. These major achievements will be discussed in this review keeping in mind newcomers, young, and established scientists in proteomics and plants. PMID:21462347

  16. Biospecimen Solicitation - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    A new funding opportunity in support of the National Cancer Institute’s Clinical Proteomic Tumor Analysis Consortium (CPTAC) seeks to prospectively procure tumor samples, collected for proteomics investigation. This procurement is being solicited for award by SAIC-F under its contract #HHSN261200800001E for Operations and Technical support at the Frederick National Laboratory for Cancer Research.

  17. Human Pituitary Adenoma Proteomics: New Progresses and Perspectives.

    PubMed

    Zhan, Xianquan; Wang, Xiaowei; Cheng, Tingting

    2016-01-01

    Pituitary adenoma (PA) is a common intracranial neoplasm that impacts on human health through interfering hypothalamus-pituitary-target organ axis systems. The development of proteomics gives great promises in the clarification of molecular mechanisms of a PA and discovery of effective biomarkers for prediction, prevention, early-stage diagnosis, and treatment for a PA. A great progress in the field of PA proteomics has been made in the past 10 years, including (i) the use of laser-capture microdissection, (ii) proteomics analyses of functional PAs (such as prolactinoma), invasive and non-invasive non-functional pituitary adenomas (NFPAs), protein post-translational modifications such as phosphorylation and tyrosine nitration, NFPA heterogeneity, and hormone isoforms, (iii) the use of protein antibody array, (iv) serum proteomics and peptidomics, (v) the integration of proteomics and other omics data, and (vi) the proposal of multi-parameter systematic strategy for a PA. This review will summarize these progresses of proteomics in PAs, point out the existing drawbacks, propose the future research directions, and address the clinical relevance of PA proteomics data, in order to achieve our long-term goal that is use of proteomics to clarify molecular mechanisms, construct molecular networks, and discover effective biomarkers. PMID:27303365

  18. The CPTAC Data Portal: A Resource for Cancer Proteomics Research.

    PubMed

    Edwards, Nathan J; Oberti, Mauricio; Thangudu, Ratna R; Cai, Shuang; McGarvey, Peter B; Jacob, Shine; Madhavan, Subha; Ketchum, Karen A

    2015-06-01

    The Clinical Proteomic Tumor Analysis Consortium (CPTAC), under the auspices of the National Cancer Institute's Office of Cancer Clinical Proteomics Research, is a comprehensive and coordinated effort to accelerate the understanding of the molecular basis of cancer through the application of proteomic technologies and workflows to clinical tumor samples with characterized genomic and transcript profiles. The consortium analyzes cancer biospecimens using mass spectrometry, identifying and quantifying the constituent proteins and characterizing each tumor sample's proteome. Mass spectrometry enables highly specific identification of proteins and their isoforms, accurate relative quantitation of protein abundance in contrasting biospecimens, and localization of post-translational protein modifications, such as phosphorylation, on a protein's sequence. The combination of proteomics, transcriptomics, and genomics data from the same clinical tumor samples provides an unprecedented opportunity for tumor proteogenomics. The CPTAC Data Portal is the centralized data repository for the dissemination of proteomic data collected by Proteome Characterization Centers (PCCs) in the consortium. The portal currently hosts 6.3 TB of data and includes proteomic investigations of breast, colorectal, and ovarian tumor tissues from The Cancer Genome Atlas (TCGA). The data collected by the consortium is made freely available to the public through the data portal. PMID:25873244

  19. Human Pituitary Adenoma Proteomics: New Progresses and Perspectives

    PubMed Central

    Zhan, Xianquan; Wang, Xiaowei; Cheng, Tingting

    2016-01-01

    Pituitary adenoma (PA) is a common intracranial neoplasm that impacts on human health through interfering hypothalamus–pituitary–target organ axis systems. The development of proteomics gives great promises in the clarification of molecular mechanisms of a PA and discovery of effective biomarkers for prediction, prevention, early-stage diagnosis, and treatment for a PA. A great progress in the field of PA proteomics has been made in the past 10 years, including (i) the use of laser-capture microdissection, (ii) proteomics analyses of functional PAs (such as prolactinoma), invasive and non-invasive non-functional pituitary adenomas (NFPAs), protein post-translational modifications such as phosphorylation and tyrosine nitration, NFPA heterogeneity, and hormone isoforms, (iii) the use of protein antibody array, (iv) serum proteomics and peptidomics, (v) the integration of proteomics and other omics data, and (vi) the proposal of multi-parameter systematic strategy for a PA. This review will summarize these progresses of proteomics in PAs, point out the existing drawbacks, propose the future research directions, and address the clinical relevance of PA proteomics data, in order to achieve our long-term goal that is use of proteomics to clarify molecular mechanisms, construct molecular networks, and discover effective biomarkers. PMID:27303365

  20. Proteomics for Validation of Automated Gene Model Predictions

    SciTech Connect

    Zhou, Kemin; Panisko, Ellen A.; Magnuson, Jon K.; Baker, Scott E.; Grigoriev, Igor V.

    2008-02-14

    High-throughput liquid chromatography mass spectrometry (LC-MS)-based proteomic analysis has emerged as a powerful tool for functional annotation of genome sequences. These analyses complement the bioinformatic and experimental tools used for deriving, verifying, and functionally annotating models of genes and their transcripts. Furthermore, proteomics extends verification and functional annotation to the level of the translation product of the gene model.

  1. Proteomic changes in chicken plasma induced by Salmonella typhimurium lipopolysaccharides

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Lipopolysaccharides (LPS) are cell wall components of gram-negative bacteria that cause inflammation and sickness through genetic and proteomic activation. The objective of our study was to identify the proteomic changes in plasma associated with inflammation induced by LPS treatment. Five-week-old ...

  2. The proteomic future: where mass spectrometry should be taking us

    Technology Transfer Automated Retrieval System (TEKTRAN)

    A newcomer to the -omics era, proteomics is a broad, instrument-intensive research area that has advanced rapidly since its inception less than twenty years ago. Although the “wet-bench” aspects of proteomics have undergone a renaissance with the improvement in protein and peptide separation techni...

  3. The Escherichia coli Proteome: Past, Present, and Future Prospects†

    PubMed Central

    Han, Mee-Jung; Lee, Sang Yup

    2006-01-01

    Proteomics has emerged as an indispensable methodology for large-scale protein analysis in functional genomics. The Escherichia coli proteome has been extensively studied and is well defined in terms of biochemical, biological, and biotechnological data. Even before the entire E. coli proteome was fully elucidated, the largest available data set had been integrated to decipher regulatory circuits and metabolic pathways, providing valuable insights into global cellular physiology and the development of metabolic and cellular engineering strategies. With the recent advent of advanced proteomic technologies, the E. coli proteome has been used for the validation of new technologies and methodologies such as sample prefractionation, protein enrichment, two-dimensional gel electrophoresis, protein detection, mass spectrometry (MS), combinatorial assays with n-dimensional chromatographies and MS, and image analysis software. These important technologies will not only provide a great amount of additional information on the E. coli proteome but also synergistically contribute to other proteomic studies. Here, we review the past development and current status of E. coli proteome research in terms of its biological, biotechnological, and methodological significance and suggest future prospects. PMID:16760308

  4. The role of targeted chemical proteomics in pharmacology

    PubMed Central

    Sutton, Chris W

    2012-01-01

    Traditionally, proteomics is the high-throughput characterization of the global complement of proteins in a biological system using cutting-edge technologies (robotics and mass spectrometry) and bioinformatics tools (Internet-based search engines and databases). As the field of proteomics has matured, a diverse range of strategies have evolved to answer specific problems. Chemical proteomics is one such direction that provides the means to enrich and detect less abundant proteins (the ‘hidden’ proteome) from complex mixtures of wide dynamic range (the ‘deep’ proteome). In pharmacology, chemical proteomics has been utilized to determine the specificity of drugs and their analogues, for anticipated known targets, only to discover other proteins that bind and could account for side effects observed in preclinical and clinical trials. As a consequence, chemical proteomics provides a valuable accessory in refinement of second- and third-generation drug design for treatment of many diseases. However, determining definitive affinity capture of proteins by a drug immobilized on soft gel chromatography matrices has highlighted some of the challenges that remain to be addressed. Examples of the different strategies that have emerged using well-established drugs against pharmaceutically important enzymes, such as protein kinases, metalloproteases, PDEs, cytochrome P450s, etc., indicate the potential opportunity to employ chemical proteomics as an early-stage screening approach in the identification of new targets. PMID:22074351

  5. Liquid Chromatography-Mass Spectrometry-based Quantitative Proteomics

    SciTech Connect

    Xie, Fang; Liu, Tao; Qian, Weijun; Petyuk, Vladislav A.; Smith, Richard D.

    2011-07-22

    Liquid chromatography-mass spectrometry (LC-MS)-based quantitative proteomics has become increasingly applied for a broad range of biological applications due to growing capabilities for broad proteome coverage and good accuracy in quantification. Herein, we review the current LC-MS-based quantification methods with respect to their advantages and limitations, and highlight their potential applications.

  6. Skyline Reaches Agreement - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    The full proteomics analysis of a small tumor sample (similar in mass to a few grains of rice) produces well over 500 megabytes of unprocessed "raw" data when analyzed on a mass spectrometer (MS). Thus, for every proteomics experiment there is a vast amount of raw data that must be analyzed and interrogated in order to extract biological information.

  7. The proteome of Hypobaric Induced Hypoxic Lung: Insights from Temporal Proteomic Profiling for Biomarker Discovery

    PubMed Central

    Ahmad, Yasmin; Sharma, Narendra K.; Ahmad, Mohammad Faiz; Sharma, Manish; Garg, Iti; Srivastava, Mousami; Bhargava, Kalpana

    2015-01-01

    Exposure to high altitude induces physiological responses due to hypoxia. Lungs being at the first level to face the alterations in oxygen levels are critical to counter and balance these changes. Studies have been done analysing pulmonary proteome alterations in response to exposure to hypobaric hypoxia. However, such studies have reported the alterations at specific time points and do not reflect the gradual proteomic changes. These studies also identify the various biochemical pathways and responses induced after immediate exposure and the resolution of these effects in challenge to hypobaric hypoxia. In the present study, using 2-DE/MS approach, we attempt to resolve these shortcomings by analysing the proteome alterations in lungs in response to different durations of exposure to hypobaric hypoxia. Our study thus highlights the gradual and dynamic changes in pulmonary proteome following hypobaric hypoxia. For the first time, we also report the possible consideration of SULT1A1, as a biomarker for the diagnosis of high altitude pulmonary edema (HAPE). Higher SULT1A1 levels were observed in rats as well as in humans exposed to high altitude, when compared to sea-level controls. This study can thus form the basis for identifying biomarkers for diagnostic and prognostic purposes in responses to hypobaric hypoxia. PMID:26022216

  8. Exploring the Arabidopsis Proteome: Influence of Protein Solubilization Buffers on Proteome Coverage

    PubMed Central

    Marondedze, Claudius; Wong, Aloysius; Groen, Arnoud; Serrano, Natalia; Jankovic, Boris; Lilley, Kathryn; Gehring, Christoph; Thomas, Ludivine

    2014-01-01

    The study of proteomes provides new insights into stimulus-specific responses of protein synthesis and turnover, and the role of post-translational modifications at the systems level. Due to the diverse chemical nature of proteins and shortcomings in the analytical techniques used in their study, only a partial display of the proteome is achieved in any study, and this holds particularly true for plant proteomes. Here we show that different solubilization and separation methods have profound effects on the resulting proteome. In particular, we observed that the type of detergents employed in the solubilization buffer preferentially enriches proteins in different functional categories. These include proteins with a role in signaling, transport, response to temperature stimuli and metabolism. This data may offer a functional bias on comparative analysis studies. In order to obtain a broader coverage, we propose a two-step solubilization protocol with first a detergent-free buffer and then a second step utilizing a combination of two detergents to solubilize proteins. PMID:25561235

  9. Identification of Protease Specificity by Combining Proteome-Derived Peptide Libraries and Quantitative Proteomics.

    PubMed

    Biniossek, Martin L; Niemer, Melanie; Maksimchuk, Ken; Mayer, Bettina; Fuchs, Julian; Huesgen, Pitter F; McCafferty, Dewey G; Turk, Boris; Fritz, Guenther; Mayer, Jens; Haecker, Georg; Mach, Lukas; Schilling, Oliver

    2016-07-01

    We present protease specificity profiling based on quantitative proteomics in combination with proteome-derived peptide libraries. Peptide libraries are generated by endoproteolytic digestion of proteomes without chemical modification of primary amines before exposure to a protease under investigation. After incubation with a test protease, treated and control libraries are differentially isotope-labeled using cost-effective reductive dimethylation. Upon analysis by liquid chromatography-tandem mass spectrometry, cleavage products of the test protease appear as semi-specific peptides that are enriched for the corresponding isotope label. We validate our workflow with two proteases with well-characterized specificity profiles: trypsin and caspase-3. We provide the first specificity profile of a protease encoded by a human endogenous retrovirus and for chlamydial protease-like activity factor (CPAF). For CPAF, we also highlight the structural basis of negative subsite cooperativity between subsites S1 and S2'. For A disintegrin and metalloproteinase with thrombospondin motifs (ADAMTS) -4, -5, and -15, we show a canonical preference profile, including glutamate in P1 and glycine in P3'. In total, we report nearly 4000 cleavage sites for seven proteases. Our protocol is fast, avoids enrichment or synthesis steps, and enables probing for lysine selectivity as well as subsite cooperativity. Due to its simplicity, we anticipate usability by most proteomic laboratories. PMID:27122596

  10. SUMO proteomics to decipher the SUMO-modified proteome regulated by various diseases

    PubMed Central

    Yang, Wei; Paschen, Wulf

    2015-01-01

    Small ubiquitin-like modifier (SUMO1–3) conjugation is a posttranslational protein modification whereby SUMOs are conjugated to lysine residues of target proteins. SUMO conjugation can alter the activity, stability, and function of target proteins, and thereby modulate almost all major cellular pathways. Many diseases are associated with SUMO conjugation, including heart failure, arthritis, cancer, degenerative diseases, and brain ischemia/stroke. It is, therefore, of major interest to characterize the SUMO-modified proteome regulated by these disorders. SUMO proteomics analysis is hampered by low levels of SUMOylated proteins. Several strategies have, therefore, been developed to enrich SUMOylated proteins from cell/tissue extracts. These include proteomics analysis on cells expressing epitope-tagged SUMO isoforms, use of monoclonal SUMO antibodies for immunoprecipitation and epitope-specific peptides for elution, and affinity purification with peptides containing SUMO interaction motifs to specifically enrich polySUMOylated proteins. Recently, two mouse models were generated and characterized that express tagged SUMO isoforms, and allow purification of SUMOylated proteins from complex organ extracts. Ultimately, these new analytical tools will help to decipher the SUMO-modified proteome regulated by various human diseases, and thereby, identify new targets for preventive and therapeutic purposes. PMID:25236368

  11. Directed Shotgun Proteomics Guided by Saturated RNA-seq Identifies a Complete Expressed Prokaryotic Proteome

    SciTech Connect

    Omasits, U.; Quebatte, Maxime; Stekhoven, Daniel J.; Fortes, Claudia; Roschitzki, Bernd; Robinson, Mark D.; Dehio, Christoph; Ahrens, Christian H.

    2013-11-01

    Prokaryotes, due to their moderate complexity, are particularly amenable to the comprehensive identification of the protein repertoire expressed under different conditions. We applied a generic strategy to identify a complete expressed prokaryotic proteome, which is based on the analysis of RNA and proteins extracted from matched samples. Saturated transcriptome profiling by RNA-seq provided an endpoint estimate of the protein-coding genes expressed under two conditions which mimic the interaction of Bartonella henselae with its mammalian host. Directed shotgun proteomics experiments were carried out on four subcellular fractions. By specifically targeting proteins which are short, basic, low abundant, and membrane localized, we could eliminate their initial underrepresentation compared to the estimated endpoint. A total of 1250 proteins were identified with an estimated false discovery rate below 1%. This represents 85% of all distinct annotated proteins and ~90% of the expressed protein-coding genes. Genes that were detected at the transcript but not protein level, were found to be highly enriched in several genomic islands. Furthermore, genes that lacked an ortholog and a functional annotation were not detected at the protein level; these may represent examples of overprediction in genome annotations. A dramatic membrane proteome reorganization was observed, including differential regulation of autotransporters, adhesins, and hemin binding proteins. Particularly noteworthy was the complete membrane proteome coverage, which included expression of all members of the VirB/D4 type IV secretion system, a key virulence factor.

  12. A roadmap for successful applications of clinical proteomics.

    PubMed

    Ioannidis, John P A

    2011-06-01

    Despite over 30,000 publications on proteomics in the last decade, and the accumulation of extensive interesting information on the human proteome in diverse observations, the clinical translation of proteomics to-date has had major setbacks. I review here a roadmap for improving the success rate of clinical proteomics. The roadmap includes steps for improvements that need to be made in analytical tools, discovery, validation, clinical application, and post-clinical application appraisal. It is likely that most if not all of the components that are necessary for clinical success are either readily available, or should be possible to put in place with more rigorous research standards and concerted efforts of the research community, clinicians, and health agencies. Enthusiasm for the clinical impact of proteomics may need to be tempered currently until robust evidence can be obtained, but some clinical successes should eventually be feasible. PMID:21523915

  13. Environmental Microbial Community Proteomics: Status, Challenges and Perspectives

    PubMed Central

    Wang, Da-Zhi; Kong, Ling-Fen; Li, Yuan-Yuan; Xie, Zhang-Xian

    2016-01-01

    Microbial community proteomics, also termed metaproteomics, is an emerging field within the area of microbiology, which studies the entire protein complement recovered directly from a complex environmental microbial community at a given point in time. Although it is still in its infancy, microbial community proteomics has shown its powerful potential in exploring microbial diversity, metabolic potential, ecological function and microbe-environment interactions. In this paper, we review recent advances achieved in microbial community proteomics conducted in diverse environments, such as marine and freshwater, sediment and soil, activated sludge, acid mine drainage biofilms and symbiotic communities. The challenges facing microbial community proteomics are also discussed, and we believe that microbial community proteomics will greatly enhance our understanding of the microbial world and its interactions with the environment. PMID:27527164

  14. Mass Spectrometry for Translational Proteomics: Progress and Clinical Implications

    SciTech Connect

    Baker, Erin Shammel; Liu, Tao; Petyuk, Vladislav A.; Burnum-Johnson, Kristin E.; Ibrahim, Yehia M.; Anderson, Gordon A.; Smith, Richard D.

    2012-08-31

    Mass spectrometry (MS)-based proteomics measurements have become increasingly utilized in a wide range of biological and biomedical applications, and have significantly enhanced the understanding of the complex and dynamic nature of the proteome and its connections to biology and diseases. While some MS techniques such as those for targeted analysis are increasingly applied with great success, others such as global quantitative analysis (for e.g. biomarker discovery) are more challenging and continue to be developed and refined to provide the desired throughput, sensitivity and/ or specificity. New MS capabilities and proteomics-based pipelines/strategies also keep enhancing for the advancement of clinical proteomics applications such as protein biomarker discovery and validation. Herein, we provide a brief review to summarize the current state of MS-based proteomics with respect to its advantages and present limitations, while highlighting its potential in future clinical applications.

  15. Design principles for clinical network-based proteomics.

    PubMed

    Goh, Wilson Wen Bin; Wong, Limsoon

    2016-07-01

    Integrating biological networks with proteomics is a tantalizing option for system-level analysis; for example it can help remove false-positives from proteomics data and improve coverage by detecting false-negatives, as well as resolving inconsistent inter-sample protein expression due to biological heterogeneity. Yet, designing a robust network-based analysis strategy on proteomics data is nontrivial. The issues include dealing with test set bias caused by, for example, inappropriate normalization procedure, devising appropriate benchmarking criteria and formulating statistically robust feature-selection techniques. Given the increasing importance of proteomics in contemporary clinical studies, more powerful network-based approaches are needed. We provide some design principles and considerations that can help achieve this, while taking into account the idiosyncrasies of proteomics data. PMID:27240775

  16. Application for Proteomic Techniques in Studying Osteoarthritis: A Review

    PubMed Central

    Gharbi, Myriam; Deberg, Michelle; Henrotin, Yves

    2011-01-01

    After the genomic era, proteomic corresponds to a wide variety of techniques that study the protein content of cells, tissue, or organism and that allow the isolation of protein of interest. It offers the choice between gel-based and gel-free methods or shotgun proteomics. Applications of proteomic technology may concern three principal objectives in several biomedical or clinical domains of research as in osteoarthritis: (i) to understand the physiopathology or underlying mechanisms leading to a disease or associated with a particular model, (ii), to find disease-specific biomarker, and (iii) to identify new therapeutic targets. This review aimed at gathering most of the data regarding the proteomic techniques and their applications to osteoarthritis research. It also reported technical limitations and solutions, as for example for sample preparation. Proteomics open wide perspectives in biochemical research but many technical matters still remain to be solved. PMID:22144964

  17. Environmental Microbial Community Proteomics: Status, Challenges and Perspectives.

    PubMed

    Wang, Da-Zhi; Kong, Ling-Fen; Li, Yuan-Yuan; Xie, Zhang-Xian

    2016-01-01

    Microbial community proteomics, also termed metaproteomics, is an emerging field within the area of microbiology, which studies the entire protein complement recovered directly from a complex environmental microbial community at a given point in time. Although it is still in its infancy, microbial community proteomics has shown its powerful potential in exploring microbial diversity, metabolic potential, ecological function and microbe-environment interactions. In this paper, we review recent advances achieved in microbial community proteomics conducted in diverse environments, such as marine and freshwater, sediment and soil, activated sludge, acid mine drainage biofilms and symbiotic communities. The challenges facing microbial community proteomics are also discussed, and we believe that microbial community proteomics will greatly enhance our understanding of the microbial world and its interactions with the environment. PMID:27527164

  18. Using R and Bioconductor for proteomics data analysis.

    PubMed

    Gatto, Laurent; Christoforou, Andy

    2014-01-01

    This review presents how R, the popular statistical environment and programming language, can be used in the frame of proteomics data analysis. A short introduction to R is given, with special emphasis on some of the features that make R and its add-on packages premium software for sound and reproducible data analysis. The reader is also advised on how to find relevant R software for proteomics. Several use cases are then presented, illustrating data input/output, quality control, quantitative proteomics and data analysis. Detailed code and additional links to extensive documentation are available in the freely available companion package RforProteomics. This article is part of a Special Issue entitled: Computational Proteomics in the Post-Identification Era. Guest Editors: Martin Eisenacher and Christian Stephan. PMID:23692960

  19. Determination of Serum Lost Goodwill Target Proteome in Patients with Severe Traumatic Brain Injury

    PubMed Central

    Ji, Hongming; Hu, Changchen; Zhang, Gangli; Ren, Jinrui; Tan, Yihu; Sun, Wenxiao; Wang, Junwen; Li, Jun; Liu, Hongchao; Xie, Ruifan; Hao, Zhipeng; Guo, Dongsheng

    2015-01-01

    This study investigates the biokinetics of LGT proteome, a potential biomarker of severe TBI, in serum of severe TBI patients. The LGT proteome presents in the serum of severe TBI patients. The abundance diversity of LGT proteome is closely associated with pathologic condition of TBI patients. Serum LGT proteome may be used as a promising marker for evaluating severity of severe TBI. PMID:26491659

  20. Micro-proteomics with iterative data analysis: Proteome analysis in C. elegans at the single worm level.

    PubMed

    Bensaddek, Dalila; Narayan, Vikram; Nicolas, Armel; Murillo, Alejandro Brenes; Gartner, Anton; Kenyon, Cynthia J; Lamond, Angus I

    2016-02-01

    Proteomics studies typically analyze proteins at a population level, using extracts prepared from tens of thousands to millions of cells. The resulting measurements correspond to average values across the cell population and can mask considerable variation in protein expression and function between individual cells or organisms. Here, we report the development of micro-proteomics for the analysis of Caenorhabditis elegans, a eukaryote composed of 959 somatic cells and ∼1500 germ cells, measuring the worm proteome at a single organism level to a depth of ∼3000 proteins. This includes detection of proteins across a wide dynamic range of expression levels (>6 orders of magnitude), including many chromatin-associated factors involved in chromosome structure and gene regulation. We apply the micro-proteomics workflow to measure the global proteome response to heat-shock in individual nematodes. This shows variation between individual animals in the magnitude of proteome response following heat-shock, including variable induction of heat-shock proteins. The micro-proteomics pipeline thus facilitates the investigation of stochastic variation in protein expression between individuals within an isogenic population of C. elegans. All data described in this study are available online via the Encyclopedia of Proteome Dynamics (http://www.peptracker.com/epd), an open access, searchable database resource. PMID:26552604

  1. Micro‐proteomics with iterative data analysis: Proteome analysis in C. elegans at the single worm level

    PubMed Central

    Bensaddek, Dalila; Narayan, Vikram; Nicolas, Armel; Brenes Murillo, Alejandro; Gartner, Anton; Kenyon, Cynthia J.

    2016-01-01

    Proteomics studies typically analyze proteins at a population level, using extracts prepared from tens of thousands to millions of cells. The resulting measurements correspond to average values across the cell population and can mask considerable variation in protein expression and function between individual cells or organisms. Here, we report the development of micro‐proteomics for the analysis of Caenorhabditis elegans, a eukaryote composed of 959 somatic cells and ∼1500 germ cells, measuring the worm proteome at a single organism level to a depth of ∼3000 proteins. This includes detection of proteins across a wide dynamic range of expression levels (>6 orders of magnitude), including many chromatin‐associated factors involved in chromosome structure and gene regulation. We apply the micro‐proteomics workflow to measure the global proteome response to heat‐shock in individual nematodes. This shows variation between individual animals in the magnitude of proteome response following heat‐shock, including variable induction of heat‐shock proteins. The micro‐proteomics pipeline thus facilitates the investigation of stochastic variation in protein expression between individuals within an isogenic population of C. elegans. All data described in this study are available online via the Encyclopedia of Proteome Dynamics (http://www.peptracker.com/epd), an open access, searchable database resource. PMID:26552604

  2. Proteome Profile and Quantitative Proteomic Analysis of Buffalo (Bubalusbubalis) Follicular Fluid during Follicle Development.

    PubMed

    Fu, Qiang; Huang, Yulin; Wang, Zhiqiang; Chen, Fumei; Huang, Delun; Lu, Yangqing; Liang, Xianwei; Zhang, Ming

    2016-01-01

    Follicular fluid (FF) accumulates in the antrum of the ovarian follicle and provides the microenvironment for oocyte development. FF plays an important role in follicle growth and oocyte maturation. The FF provides a unique window to investigate the processes occurring during buffalo follicular development. The observed low quality of buffalo oocytes may arise from the poor follicular microenvironment. Investigating proteins found in buffalo FF (BFF) should provide insight into follicular development processes and provide further understanding of intra-follicular maturation and oocytes quality. Here, a proteomic-based approach was used to analyze the proteome of BFF. SDS-PAGE separation combined with mass spectrometry was used to generate the proteomic dataset. In total, 363 proteins were identified and classified by Gene Ontology terms. The proteins were assigned to 153 pathways, including signaling pathways. To evaluate difference in proteins expressed between BFF with different follicle size (small, <4 mm; and large, >8 mm), a quantitative proteomic analysis based on multi-dimensional liquid chromatography pre-fractionation tandem Orbitrap mass spectrometry identification was performed. Eleven differentially expressed proteins (six downregulated and five upregulated in large BFF) were identified and assigned to a variety of functional processes, including serine protease inhibition, oxidation protection and the complement cascade system. Three differentially expressed proteins, Vimentin, Peroxiredoxin-1 and SERPIND1, were verified by Western blotting, consistent with the quantitative proteomics results. Our datasets offers new information about proteins present in BFF and should facilitate the development of new biomarkers. These differentially expressed proteins illuminate the size-dependent protein changes in follicle microenvironment. PMID:27136540

  3. Proteome Profile and Quantitative Proteomic Analysis of Buffalo (Bubalusbubalis) Follicular Fluid during Follicle Development

    PubMed Central

    Fu, Qiang; Huang, Yulin; Wang, Zhiqiang; Chen, Fumei; Huang, Delun; Lu, Yangqing; Liang, Xianwei; Zhang, Ming

    2016-01-01

    Follicular fluid (FF) accumulates in the antrum of the ovarian follicle and provides the microenvironment for oocyte development. FF plays an important role in follicle growth and oocyte maturation. The FF provides a unique window to investigate the processes occurring during buffalo follicular development. The observed low quality of buffalo oocytes may arise from the poor follicular microenvironment. Investigating proteins found in buffalo FF (BFF) should provide insight into follicular development processes and provide further understanding of intra-follicular maturation and oocytes quality. Here, a proteomic-based approach was used to analyze the proteome of BFF. SDS-PAGE separation combined with mass spectrometry was used to generate the proteomic dataset. In total, 363 proteins were identified and classified by Gene Ontology terms. The proteins were assigned to 153 pathways, including signaling pathways. To evaluate difference in proteins expressed between BFF with different follicle size (small, <4 mm; and large, >8 mm), a quantitative proteomic analysis based on multi-dimensional liquid chromatography pre-fractionation tandem Orbitrap mass spectrometry identification was performed. Eleven differentially expressed proteins (six downregulated and five upregulated in large BFF) were identified and assigned to a variety of functional processes, including serine protease inhibition, oxidation protection and the complement cascade system. Three differentially expressed proteins, Vimentin, Peroxiredoxin-1 and SERPIND1, were verified by Western blotting, consistent with the quantitative proteomics results. Our datasets offers new information about proteins present in BFF and should facilitate the development of new biomarkers. These differentially expressed proteins illuminate the size-dependent protein changes in follicle microenvironment. PMID:27136540

  4. Development of data representation standards by the human proteome organization proteomics standards initiative

    PubMed Central

    Albar, Juan Pablo; Binz, Pierre-Alain; Eisenacher, Martin; Jones, Andrew R; Mayer, Gerhard; Omenn, Gilbert S; Orchard, Sandra; Vizcaíno, Juan Antonio; Hermjakob, Henning

    2015-01-01

    Objective To describe the goals of the Proteomics Standards Initiative (PSI) of the Human Proteome Organization, the methods that the PSI has employed to create data standards, the resulting output of the PSI, lessons learned from the PSI’s evolution, and future directions and synergies for the group. Materials and Methods The PSI has 5 categories of deliverables that have guided the group. These are minimum information guidelines, data formats, controlled vocabularies, resources and software tools, and dissemination activities. These deliverables are produced via the leadership and working group organization of the initiative, driven by frequent workshops and ongoing communication within the working groups. Official standards are subjected to a rigorous document process that includes several levels of peer review prior to release. Results We have produced and published minimum information guidelines describing what information should be provided when making data public, either via public repositories or other means. The PSI has produced a series of standard formats covering mass spectrometer input, mass spectrometer output, results of informatics analysis (both qualitative and quantitative analyses), reports of molecular interaction data, and gel electrophoresis analyses. We have produced controlled vocabularies that ensure that concepts are uniformly annotated in the formats and engaged in extensive software development and dissemination efforts so that the standards can efficiently be used by the community. Conclusion In its first dozen years of operation, the PSI has produced many standards that have accelerated the field of proteomics by facilitating data exchange and deposition to data repositories. We look to the future to continue developing standards for new proteomics technologies and workflows and mechanisms for integration with other omics data types. Our products facilitate the translation of genomics and proteomics findings to clinical and

  5. Improving HIV proteome annotation: new features of BioAfrica HIV Proteomics Resource

    PubMed Central

    Druce, Megan; Hulo, Chantal; Masson, Patrick; Sommer, Paula; Xenarios, Ioannis; Le Mercier, Philippe; De Oliveira, Tulio

    2016-01-01

    The Human Immunodeficiency Virus (HIV) is one of the pathogens that cause the greatest global concern, with approximately 35 million people currently infected with HIV. Extensive HIV research has been performed, generating a large amount of HIV and host genomic data. However, no effective vaccine that protects the host from HIV infection is available and HIV is still spreading at an alarming rate, despite effective antiretroviral (ARV) treatment. In order to develop effective therapies, we need to expand our knowledge of the interaction between HIV and host proteins. In contrast to virus proteins, which often rapidly evolve drug resistance mutations, the host proteins are essentially invariant within all humans. Thus, if we can identify the host proteins needed for virus replication, such as those involved in transporting viral proteins to the cell surface, we have a chance of interrupting viral replication. There is no proteome resource that summarizes this interaction, making research on this subject a difficult enterprise. In order to fill this gap in knowledge, we curated a resource presents detailed annotation on the interaction between the HIV proteome and host proteins. Our resource was produced in collaboration with ViralZone and used manual curation techniques developed by UniProtKB/Swiss-Prot. Our new website also used previous annotations of the BioAfrica HIV-1 Proteome Resource, which has been accessed by approximately 10 000 unique users a year since its inception in 2005. The novel features include a dedicated new page for each HIV protein, a graphic display of its function and a section on its interaction with host proteins. Our new webpages also add information on the genomic location of each HIV protein and the position of ARV drug resistance mutations. Our improved BioAfrica HIV-1 Proteome Resource fills a gap in the current knowledge of biocuration. Database URL: http://www.bioafrica.net/proteomics/HIVproteome.html PMID:27087306

  6. Improving HIV proteome annotation: new features of BioAfrica HIV Proteomics Resource.

    PubMed

    Druce, Megan; Hulo, Chantal; Masson, Patrick; Sommer, Paula; Xenarios, Ioannis; Le Mercier, Philippe; De Oliveira, Tulio

    2016-01-01

    The Human Immunodeficiency Virus (HIV) is one of the pathogens that cause the greatest global concern, with approximately 35 million people currently infected with HIV. Extensive HIV research has been performed, generating a large amount of HIV and host genomic data. However, no effective vaccine that protects the host from HIV infection is available and HIV is still spreading at an alarming rate, despite effective antiretroviral (ARV) treatment. In order to develop effective therapies, we need to expand our knowledge of the interaction between HIV and host proteins. In contrast to virus proteins, which often rapidly evolve drug resistance mutations, the host proteins are essentially invariant within all humans. Thus, if we can identify the host proteins needed for virus replication, such as those involved in transporting viral proteins to the cell surface, we have a chance of interrupting viral replication. There is no proteome resource that summarizes this interaction, making research on this subject a difficult enterprise. In order to fill this gap in knowledge, we curated a resource presents detailed annotation on the interaction between the HIV proteome and host proteins. Our resource was produced in collaboration with ViralZone and used manual curation techniques developed by UniProtKB/Swiss-Prot. Our new website also used previous annotations of the BioAfrica HIV-1 Proteome Resource, which has been accessed by approximately 10 000 unique users a year since its inception in 2005. The novel features include a dedicated new page for each HIV protein, a graphic display of its function and a section on its interaction with host proteins. Our new webpages also add information on the genomic location of each HIV protein and the position of ARV drug resistance mutations. Our improved BioAfrica HIV-1 Proteome Resource fills a gap in the current knowledge of biocuration.Database URL:http://www.bioafrica.net/proteomics/HIVproteome.html. PMID:27087306

  7. Osmoprotective proteome adjustments in mouse kidney papilla

    PubMed Central

    Gabert, B. J.; Kültz, D.

    2011-01-01

    The papilla of the mammalian kidney must tolerate greatly varying degrees of hyperosmotic stress during urine concentration and depending on whole organism hydration state. To identify proteome adaptations supporting cell function and survival in such a harsh environment we compared the proteome of a) the hyperosmotic renal papilla with that of adjacent iso-osmotic cortex tissue and b) the renal papilla of diuretic versus that of anti-diuretic mice. Though functionally distinct the papilla is in close physical proximity to the renal cortex, an iso-osmotic region. Proteomic differences between the papilla and cortex of C57BL6 mice were identified using two-dimensional gel electrophoresis and MALDI-TOF/TOF mass spectrometry. We found 37 different proteins characteristic of the cortex and 16 proteins over-represented in the papilla. Regional specificity was confirmed by Western Blot and further substantiated by immunohistochemistry for selected proteins. Proteins that are characteristic of the renal papilla include αB crystallin, Hsp beta-1, Hsp90, 14-3-3 protein, glutathione S-transferase, aldose reductase, actin and tropomyosin. Gene ontology analysis confirmed a significant increase in molecular functions associated with protein chaperoning and cell stabilization. Proteins over-represented in the cortex were largely related to routine metabolism. During antidiuresis 15 different proteins changed significantly while 18 different proteins changed significantly during diuresis relative to normally hydrated controls. Changes were confirmed by Western blot for selected proteins. Proteins that are significantly altered by diuretic state are associated with cell structure (actin, tubulin), signaling (Rho GDP dissociation inhibitor, abhydrolase domain-containing protein 14B), chaperone functioning (Hsp beta-1, αB crystallin, T complex protein-1) and anti-oxidant functions (α-enolase, GAPDH and LDH). Taken together our study reveals that specific proteins involved in

  8. Proteomics of extracellular vesicles: Exosomes and ectosomes.

    PubMed

    Choi, Dong-Sic; Kim, Dae-Kyum; Kim, Yoon-Keun; Gho, Yong Song

    2015-01-01

    Almost all bacteria, archaea, and eukaryotic cells shed extracellular vesicles either constitutively or in a regulated manner. These nanosized membrane vesicles are spherical, bilayered proteolipids that harbor specific subsets of proteins, DNAs, RNAs, and lipids. Recent research has facilitated conceptual advancements in this emerging field that indicate that extracellular vesicles act as intercellular communicasomes by transferring signals to their target cell via surface ligands and delivering receptors and functional molecules. Recent progress in mass spectrometry-based proteomic analyses of mammalian extracellular vesicles derived from diverse cell types and body fluids has resulted in the identification of several thousand vesicular proteins that provide us with essential clues to the molecular mechanisms involved in vesicle cargo sorting and biogenesis. Furthermore, cell-type- or disease-specific vesicular proteins help us to understand the pathophysiological functions of extracellular vesicles and contribute to the discovery of diagnostic and therapeutic target proteins. This review focuses on the high-throughput mass spectrometry-based proteomic analyses of mammalian extracellular vesicles (i.e., exosomes and ectosomes), EVpedia (a free web-based integrated database of high-throughput data for systematic analyses of extracellular vesicles; http://evpedia.info), and the intravesicular protein-protein interaction network analyses of mammalian extracellular vesicles. The goal of this article is to encourage further studies to construct a comprehensive proteome database for extracellular vesicles that will help us to not only decode the biogenesis and cargo-sorting mechanisms during vesicle formation but also elucidate the pathophysiological roles of these complex extracellular organelles. PMID:24421117

  9. Proteomics-grade de novo sequencing approach.

    PubMed

    Savitski, Mikhail M; Nielsen, Michael L; Kjeldsen, Frank; Zubarev, Roman A

    2005-01-01

    The conventional approach in modern proteomics to identify proteins from limited information provided by molecular and fragment masses of their enzymatic degradation products carries an inherent risk of both false positive and false negative identifications. For reliable identification of even known proteins, complete de novo sequencing of their peptides is desired. The main problems of conventional sequencing based on tandem mass spectrometry are incomplete backbone fragmentation and the frequent overlap of fragment masses. In this work, the first proteomics-grade de novo approach is presented, where the above problems are alleviated by the use of complementary fragmentation techniques CAD and ECD. Implementation of a high-current, large-area dispenser cathode as a source of low-energy electrons provided efficient ECD of doubly charged peptides, the most abundant species (65-80%), in a typical trypsin-based proteomics experiment. A new linear de novo algorithm is developed combining efficiency and speed, processing on a conventional 3 GHz PC, 1000 MS/MS data sets in 60 s. More than 6% of all MS/MS data for doubly charged peptides yielded complete sequences, and another 13% gave nearly complete sequences with a maximum gap of two amino acid residues. These figures are comparable with the typical success rates (5-15%) of database identification. For peptides reliably found in the database (Mowse score > or = 34), the agreement with de novo-derived full sequences was >95%. Full sequences were derived in 67% of the cases when full sequence information was present in MS/MS spectra. Thus the new de novo sequencing approach reached the same level of efficiency and reliability as conventional database-identification strategies. PMID:16335984

  10. Methods for Pseudopodia Purification and Proteomic Analysis

    SciTech Connect

    Wang, Yingchun; Ding, Shi-Jian; Wang, Wei; Yang, Feng; Jacobs, Jon M.; Camp, David G.; Smith, Richard D.; Klemke, Richard L.

    2007-08-21

    Directional cell migration (chemotaxis) plays a central role in a wide spectrum of physiological and pathological processes, including embryo development, wounding healing, immunity, and cancer metastasis (1, 2). The process of chemotaxis is characterized by the sustained migration of cells in the direction of an increasing concentration of chemoattractant and/or ECM protein. Upon sensing the chemoattractant cells response with localized amplification of signals on the side facing the gradient (3-7). The spatial signal propagation facilitates reorganization of the actin-myosin cytoskeleton leading to extension of a dominant pseudopodium (PD) only in the direction of chemoattractant (7-10). While it is clear that localized signaling is critical for pseudopodium formation and chemotaxis, the molecular mechanisms that mediate this response remain poorly defined. To investigate mechanisms of pseudopodia formation, we recently described a novel approach to separate the PD and cell body (CB) compartments for large scale proteomic and phosphoproteomic analyses using chambers equipped with microporous filters (Fig. 1) (3, 7, 11). This in vitro system recapitulates physiological events associates with pseudopodial protrusion through small openings in the ECM and the vessel wall during immune cell intravasation and cancer cell metastasis (12, 13). The model system has been used to reveal important signaling pathways and novel proteins that mediate cell migration. This model, combined with the state-of-the-art proteomics and phosphoproteomics technology, will provide an effective approach to systematically analyze the proteins that differentially localized or phosphorylated in the front and the back of polarized migrating cells. In the following sections, we will describe in detail the protocols used to purify the PD and CB compartments for large-scale proteomic and phosphoproteomic analyses using mass spectrometry.

  11. The proteome landscape of Giardia lamblia encystation.

    PubMed

    Faso, Carmen; Bischof, Sylvain; Hehl, Adrian B

    2013-01-01

    Giardia lamblia is an intestinal protozoan parasite required to survive in the environment in order to be transmitted to a new host. To ensure parasite survival, flagellated trophozoites colonizing the small intestine differentiate into non-motile environmentally-resistant cysts which are then shed in the environment. This cell differentiation process called encystation is characterized by significant morphological remodeling which includes secretion of large amounts of cyst wall material. Although much is known about the transcriptional regulation of encystation and the synthesis and trafficking of cyst wall material, the investigation of global changes in protein content and abundance during G. lamblia encystation is still unaddressed. In this study, we report on the quantitative analysis of the G. lamblia proteome during encystation using tandem mass spectrometry. Quantification of more than 1000 proteins revealed major changes in protein abundance in early, mid and late encystation, notably in constitutive secretory protein trafficking. Early stages of encystation were marked by a striking decrease of endoplasmic reticulum-targeted variant-specific surface proteins and significant increases in cytoskeleton regulatory components, NEK protein kinases and proteins involved in protein folding and glycolysis. This was in stark contrast to cells in the later stages of encystation which presented a surprisingly similar proteome composition to non-encysting trophozoites. Altogether these data constitute the first quantitative atlas of the Giardia proteome covering the whole process of encystation and point towards an important role for post-transcriptional control of gene expression in Giardia differentiation. Furthermore, our data provide a valuable resource for the community-based annotation effort of the G. lamblia genome, where almost 70% of all predicted gene models remains "hypothetical". PMID:24391747

  12. The Proteome Landscape of Giardia lamblia Encystation

    PubMed Central

    Hehl, Adrian B.

    2013-01-01

    Giardia lamblia is an intestinal protozoan parasite required to survive in the environment in order to be transmitted to a new host. To ensure parasite survival, flagellated trophozoites colonizing the small intestine differentiate into non-motile environmentally-resistant cysts which are then shed in the environment. This cell differentiation process called encystation is characterized by significant morphological remodeling which includes secretion of large amounts of cyst wall material. Although much is known about the transcriptional regulation of encystation and the synthesis and trafficking of cyst wall material, the investigation of global changes in protein content and abundance during G. lamblia encystation is still unaddressed. In this study, we report on the quantitative analysis of the G. lamblia proteome during encystation using tandem mass spectrometry. Quantification of more than 1000 proteins revealed major changes in protein abundance in early, mid and late encystation, notably in constitutive secretory protein trafficking. Early stages of encystation were marked by a striking decrease of endoplasmic reticulum-targeted variant-specific surface proteins and significant increases in cytoskeleton regulatory components, NEK protein kinases and proteins involved in protein folding and glycolysis. This was in stark contrast to cells in the later stages of encystation which presented a surprisingly similar proteome composition to non-encysting trophozoites. Altogether these data constitute the first quantitative atlas of the Giardia proteome covering the whole process of encystation and point towards an important role for post-transcriptional control of gene expression in Giardia differentiation. Furthermore, our data provide a valuable resource for the community-based annotation effort of the G. lamblia genome, where almost 70% of all predicted gene models remains “hypothetical”. PMID:24391747

  13. Methylglyoxal, glyoxalase 1 and the dicarbonyl proteome.

    PubMed

    Rabbani, Naila; Thornalley, Paul J

    2012-04-01

    Methylglyoxal (MG) is a potent protein glycating agent. Glycation is directed to guanidino groups of arginine residues forming mainly hydroimidazolone N (δ)-(5-hydro-5-methyl-4-imidazolon-2-yl)-ornithine (MG-H1) residues. MG-H1 formation is damaging to the proteome as modification is often directed to functionally important arginine residues. MG-H1 content of proteins is quantified by stable isotopic dilution analysis tandem mass spectrometry and also by immunoblotting with specific monoclonal antibodies. MG-glycated proteins undergo cellular proteolysis and release MG-H1 free adduct for excretion. MG-H1 residues have been found in proteins of animals, plants, bacteria, fungi and protoctista. MG-H1 is often the major advanced glycation endproduct in proteins of tissues and body fluids, increasing in diabetes and associated vascular complications, renal failure, cirrhosis, Alzheimer's disease, arthritis, Parkinson's disease and ageing. Glyoxalase 1 and aldo-keto reductase 1B1 metabolise >99% MG to innocuous products and thereby protect the proteome, providing an enzymatic defence against MG-mediated glycation. Proteins susceptible to MG modification with related functional impairment are called the "dicarbonyl proteome" (DCP). DCP includes albumin, haemoglobin, transcription factors, mitochondrial proteins, extracellular matrix proteins, lens crystallins and other proteins. DCP component proteins are linked to mitochondrial dysfunction in diabetes and ageing, oxidative stress, dyslipidemia, cell detachment and anoikis and apoptosis. Biochemical and physiological susceptibility of a protein to modification by MG and sensitivity of biochemical pathways and physiological systems to related functional impairment under challenge of physiologically relevant increases in MG exposure are key concepts. Improved understanding of the DCP will likely have profound importance for human health, longevity and treatment of disease. PMID:20963454

  14. Environmental Proteomics: Changes in the Proteome of Marine Organisms in Response to Environmental Stress, Pollutants, Infection, Symbiosis, and Development

    NASA Astrophysics Data System (ADS)

    Tomanek, Lars

    2011-01-01

    Environmental proteomics, the study of changes in the abundance of proteins and their post-translational modifications, has become a powerful tool for generating hypotheses regarding how the environment affects the biology of marine organisms. Proteomics discovers hitherto unknown cellular effects of environmental stressors such as changes in thermal, osmotic, and anaerobic conditions. Proteomic analyses have advanced the characterization of the biological effects of pollutants and identified comprehensive and pollutant-specific sets of biomarkers, especially those highlighting post-translational modifications. Proteomic analyses of infected organisms have highlighted the broader changes occurring during immune responses and how the same pathways are attenuated during the maintenance of symbiotic relationships. Finally, proteomic changes occurring during the early life stages of marine organisms emphasize the importance of signaling events during development in a rapidly changing environment. Changes in proteins functioning in energy metabolism, cytoskeleton, protein stabilization and turnover, oxidative stress, and signaling are common responses to environmental change.

  15. Proteomic landscape in Central and Eastern Europe: the 9th Central and Eastern European Proteomic Conference, Poznań, Poland.

    PubMed

    Gadher, Suresh Jivan; Marczak, Łukasz; Łuczak, Magdalena; Stobiecki, Maciej; Widlak, Piotr; Kovarova, Hana

    2016-01-01

    Every year since 2007, the Central and Eastern European Proteomic Conference (CEEPC) has excelled in representing state-of-the-art proteomics in and around Central and Eastern Europe, and linking it to international institutions worldwide. Its mission remains to contribute to all approaches of proteomics including traditional and often-revisited methodologies as well as the latest technological achievements in clinical, quantitative and structural proteomics with a view to systems biology of a variety of processes. The 9th CEEPC was held from June 15th to 18th, 2015, at the Institute of Bioorganic Chemistry, Polish Academy of Sciences in Poznań, Poland. The scientific program stimulated exchange of proteomic knowledge whilst the spectacular venue of the conference allowed participants to enjoy the cobblestoned historical city of Poznań. PMID:26558656

  16. Pan-proteomics, a concept for unifying quantitative proteome measurements when comparing closely-related bacterial strains.

    PubMed

    Broadbent, James A; Broszczak, Daniel A; Tennakoon, Imalka U K; Huygens, Flavia

    2016-04-01

    The comparison of proteomes between genetically heterogeneous bacterial strains may offer valuable insights into physiological diversity and function, particularly where such variation aids in the survival and virulence of clinically-relevant strains. However, reports of such comparisons frequently fail to account for underlying genetic variance. As a consequence, the current knowledge regarding bacterial physiological diversity at the protein level may be incomplete or inaccurate. To address this, greater consideration must be given to the impact of genetic heterogeneity on proteome comparisons. This may be possible through the use of pan-proteomics, an analytical concept that permits the ability to qualitatively and quantitatively compare the proteomes of genetically heterogeneous organisms. Limited examples of this emerging technology highlight currently unmet analytical challenges. In this article we define pan-proteomics, where its value lies in microbiology, and discuss the technical considerations critical to its successful execution and potential future application. PMID:26889693

  17. Sequence Scrambling in Shotgun Proteomics is Negligible

    NASA Astrophysics Data System (ADS)

    Goloborodko, Anton A.; Gorshkov, Mikhail V.; Good, David M.; Zubarev, Roman A.

    2011-07-01

    Analysis of 15,897 low-energy (CAD) and 10,878 higher-energy (HCD) collisional dissociation mass spectra of doubly protonated tryptic peptides taken with high resolution revealed that the rate of sequence scrambling due to b-ion cyclization is negligible (<1%) and can be safely ignored as a possible source of erroneous sequence assignment in shotgun proteomics. On the other hand, there is significant presence of normal (non-scrambled) internal fragments in HCD, which should be taken into account by MS/MS search engines.

  18. Interpretation of Quantitative Shotgun Proteomic Data.

    PubMed

    Aasebø, Elise; Berven, Frode S; Selheim, Frode; Barsnes, Harald; Vaudel, Marc

    2016-01-01

    In quantitative proteomics, large lists of identified and quantified proteins are used to answer biological questions in a systemic approach. However, working with such extensive datasets can be challenging, especially when complex experimental designs are involved. Here, we demonstrate how to post-process large quantitative datasets, detect proteins of interest, and annotate the data with biological knowledge. The protocol presented can be achieved without advanced computational knowledge thanks to the user-friendly Perseus interface (available from the MaxQuant website, www.maxquant.org ). Various visualization techniques facilitating the interpretation of quantitative results in complex biological systems are also highlighted. PMID:26700055

  19. Genomic, Proteomic, and Metabolomic Data Integration Strategies

    PubMed Central

    Wanichthanarak, Kwanjeera; Fahrmann, Johannes F; Grapov, Dmitry

    2015-01-01

    Robust interpretation of experimental results measuring discreet biological domains remains a significant challenge in the face of complex biochemical regulation processes such as organismal versus tissue versus cellular metabolism, epigenetics, and protein post-translational modification. Integration of analyses carried out across multiple measurement or omic platforms is an emerging approach to help address these challenges. This review focuses on select methods and tools for the integration of metabolomic with genomic and proteomic data using a variety of approaches including biochemical pathway-, ontology-, network-, and empirical-correlation-based methods. PMID:26396492

  20. Bioinformatics in proteomics: application, terminology, and pitfalls.

    PubMed

    Wiemer, Jan C; Prokudin, Alexander

    2004-01-01

    Bioinformatics applies data mining, i.e., modern computer-based statistics, to biomedical data. It leverages on machine learning approaches, such as artificial neural networks, decision trees and clustering algorithms, and is ideally suited for handling huge data amounts. In this article, we review the analysis of mass spectrometry data in proteomics, starting with common pre-processing steps and using single decision trees and decision tree ensembles for classification. Special emphasis is put on the pitfall of overfitting, i.e., of generating too complex single decision trees. Finally, we discuss the pros and cons of the two different decision tree usages. PMID:15237926

  1. Quantitative Proteomics Analysis of Leukemia Cells.

    PubMed

    Halbach, Sebastian; Dengjel, Jörn; Brummer, Tilman

    2016-01-01

    Chronic myeloid leukemia (CML) is driven by the oncogenic fusion kinase Bcr-Abl, which organizes its own signaling network with various proteins. These proteins, their interactions, and their role in relevant signaling pathways can be analyzed by quantitative mass spectrometry (MS) approaches in various models systems, e.g., in cell culture models. In this chapter, we describe in detail immunoprecipitations and quantitative proteomics analysis using stable isotope labeling by amino acids in cell culture (SILAC) of components of the Bcr-Abl signaling pathway in the human CML cell line K562. PMID:27581145

  2. Protein microarrays as tools for functional proteomics.

    PubMed

    LaBaer, Joshua; Ramachandran, Niroshan

    2005-02-01

    Protein microarrays present an innovative and versatile approach to study protein abundance and function at an unprecedented scale. Given the chemical and structural complexity of the proteome, the development of protein microarrays has been challenging. Despite these challenges there has been a marked increase in the use of protein microarrays to map interactions of proteins with various other molecules, and to identify potential disease biomarkers, especially in the area of cancer biology. In this review, we discuss some of the promising advances made in the development and use of protein microarrays. PMID:15701447

  3. The Multinational Arabidopsis Steering Subcommittee for Proteomics Assembles the Largest Proteome Database Resource for Plant Systems Biology

    SciTech Connect

    Weckwerth, Wolfram; Baginsky, Sacha; Van Wijk, Klass; Heazlewood, Joshua; Millar, Harvey

    2009-12-01

    In the past 10 years, we have witnessed remarkable advances in the field of plant molecular biology. The rapid development of proteomic technologies and the speed with which these techniques have been applied to the field have altered our perception of how we can analyze proteins in complex systems. At nearly the same time, the availability of the complete genome for the model plant Arabidopsis thaliana was released; this effort provides an unsurpassed resource for the identification of proteins when researchers use MS to analyze plant samples. Recognizing the growth in this area, the Multinational Arabidopsis Steering Committee (MASC) established a subcommittee for A. thaliana proteomics in 2006 with the objective of consolidating databases, technique standards, and experimentally validated candidate genes and functions. Since the establishment of the Multinational Arabidopsis Steering Subcommittee for Proteomics (MASCP), many new approaches and resources have become available. Recently, the subcommittee established a webpage to consolidate this information (www.masc-proteomics.org). It includes links to plant proteomic databases, general information about proteomic techniques, meeting information, a summary of proteomic standards, and other relevant resources. Altogether, this website provides a useful resource for the Arabidopsis proteomics community. In the future, the website will host discussions and investigate the cross-linking of databases. The subcommittee members have extensive experience in arabidopsis proteomics and collectively have produced some of the most extensive proteomics data sets for this model plant (Table S1 in the Supporting Information has a list of resources). The largest collection of proteomics data from a single study in A. thaliana was assembled into an accessible database (AtProteome; http://fgcz-atproteome.unizh.ch/index.php) and was recently published by the Baginsky lab.1 The database provides links to major Arabidopsis online

  4. Proteomics of cell-cell interactions in health and disease.

    PubMed

    Lindoso, Rafael S; Sandim, Vanessa; Collino, Federica; Carvalho, Adriana B; Dias, Juliana; da Costa, Milene R; Zingali, Russolina B; Vieyra, Adalberto

    2016-01-01

    The mechanisms of cell-cell communications are now under intense study by proteomic approaches. Proteomics has unraveled changes in protein profiling as the result of cell interactions mediated by ligand/receptor, hormones, soluble factors, and the content of extracellular vesicles. Besides being a brief overview of the main and profitable methodologies now available (evaluating theory behind the methods, their usefulness, and pitfalls), this review focuses on-from a proteome perspective-some signaling pathways and post-translational modifications (PTMs), which are essential for understanding ischemic lesions and their recovery in two vital organs in mammals, the heart, and the kidney. Knowledge of misdirection of the proteome during tissue recovery, such as represented by the convergence between fibrosis and cancer, emerges as an important tool in prognosis. Proteomics of cell-cell interaction is also especially useful for understanding how stem cells interact in injured tissues, anticipating clues for rational therapeutic interventions. In the effervescent field of induced pluripotency and cell reprogramming, proteomic studies have shown what proteins from specialized cells contribute to the recovery of infarcted tissues. Overall, we conclude that proteomics is at the forefront in helping us to understand the mechanisms that underpin prevalent pathological processes. PMID:26552723

  5. Implementation of proteomics for cancer research: past, present, and future.

    PubMed

    Karimi, Parisa; Shahrokni, Armin; Ranjbar, Mohammad R Nezami

    2014-01-01

    Cancer is the leading cause of the death, accounts for about 13% of all annual deaths worldwide. Many different fields of science are collaborating together studying cancer to improve our knowledge of this lethal disease, and find better solutions for diagnosis and treatment. Proteomics is one of the most recent and rapidly growing areas in molecular biology that helps understanding cancer from an omics data analysis point of view. The human proteome project was officially initiated in 2008. Proteomics enables the scientists to interrogate a variety of biospecimens for their protein contents and measure the concentrations of these proteins. Current necessary equipment and technologies for cancer proteomics are mass spectrometry, protein microarrays, nanotechnology and bioinformatics. In this paper, we provide a brief review on proteomics and its application in cancer research. After a brief introduction including its definition, we summarize the history of major previous work conducted by researchers, followed by an overview on the role of proteomics in cancer studies. We also provide a list of different utilities in cancer proteomics and investigate their advantages and shortcomings from theoretical and practical angles. Finally, we explore some of the main challenges and conclude the paper with future directions in this field. PMID:24761843

  6. Saliva proteome research: current status and future outlook.

    PubMed

    Schulz, Benjamin L; Cooper-White, Justin; Punyadeera, Chamindie K

    2013-09-01

    Human saliva harbours proteins of clinical relevance and about 30% of blood proteins are also present in saliva. This highlights that saliva can be used for clinical applications just as urine or blood. However, the translation of salivary biomarker discoveries into clinical settings is hampered by the dynamics and complexity of the salivary proteome. This review focuses on the current status of technological developments and achievements relating to approaches for unravelling the human salivary proteome. We discuss the dynamics of the salivary proteome, as well as the importance of sample preparation and processing techniques and their influence on downstream protein applications; post-translational modifications of salivary proteome and protein: protein interactions. In addition, we describe possible enrichment strategies for discerning post-translational modifications of salivary proteins, the potential utility of selected-reaction-monitoring techniques for biomarker discovery and validation, limitations to proteomics and the biomarker challenge and future perspectives. In summary, we provide recommendations for practical saliva sampling, processing and storage conditions to increase the quality of future studies in an emerging field of saliva clinical proteomics. We propose that the advent of technologies allowing sensitive and high throughput proteome-wide analyses, coupled to well-controlled study design, will allow saliva to enter clinical practice as an alternative to blood-based methods due to its simplistic nature of sampling, non-invasiveness, easy of collection and multiple collections by untrained professionals and cost-effective advantages. PMID:22612344

  7. Proteomics: Challenges, Techniques and Possibilities to Overcome Biological Sample Complexity

    PubMed Central

    Chandramouli, Kondethimmanahalli; Qian, Pei-Yuan

    2009-01-01

    Proteomics is the large-scale study of the structure and function of proteins in complex biological sample. Such an approach has the potential value to understand the complex nature of the organism. Current proteomic tools allow large-scale, high-throughput analyses for the detection, identification, and functional investigation of proteome. Advances in protein fractionation and labeling techniques have improved protein identification to include the least abundant proteins. In addition, proteomics has been complemented by the analysis of posttranslational modifications and techniques for the quantitative comparison of different proteomes. However, the major limitation of proteomic investigations remains the complexity of biological structures and physiological processes, rendering the path of exploration paved with various difficulties and pitfalls. The quantity of data that is acquired with new techniques places new challenges on data processing and analysis. This article provides a brief overview of currently available proteomic techniques and their applications, followed by detailed description of advantages and technical challenges. Some solutions to circumvent technical difficulties are proposed. PMID:20948568

  8. Mass-spectrometry-based draft of the human proteome.

    PubMed

    Wilhelm, Mathias; Schlegl, Judith; Hahne, Hannes; Moghaddas Gholami, Amin; Lieberenz, Marcus; Savitski, Mikhail M; Ziegler, Emanuel; Butzmann, Lars; Gessulat, Siegfried; Marx, Harald; Mathieson, Toby; Lemeer, Simone; Schnatbaum, Karsten; Reimer, Ulf; Wenschuh, Holger; Mollenhauer, Martin; Slotta-Huspenina, Julia; Boese, Joos-Hendrik; Bantscheff, Marcus; Gerstmair, Anja; Faerber, Franz; Kuster, Bernhard

    2014-05-29

    Proteomes are characterized by large protein-abundance differences, cell-type- and time-dependent expression patterns and post-translational modifications, all of which carry biological information that is not accessible by genomics or transcriptomics. Here we present a mass-spectrometry-based draft of the human proteome and a public, high-performance, in-memory database for real-time analysis of terabytes of big data, called ProteomicsDB. The information assembled from human tissues, cell lines and body fluids enabled estimation of the size of the protein-coding genome, and identified organ-specific proteins and a large number of translated lincRNAs (long intergenic non-coding RNAs). Analysis of messenger RNA and protein-expression profiles of human tissues revealed conserved control of protein abundance, and integration of drug-sensitivity data enabled the identification of proteins predicting resistance or sensitivity. The proteome profiles also hold considerable promise for analysing the composition and stoichiometry of protein complexes. ProteomicsDB thus enables navigation of proteomes, provides biological insight and fosters the development of proteomic technology. PMID:24870543

  9. Proteomic analysis of human vitreous humor

    PubMed Central

    2014-01-01

    Background The vitreous humor is a transparent, gelatinous mass whose main constituent is water. It plays an important role in providing metabolic nutrient requirements of the lens, coordinating eye growth and providing support to the retina. It is in close proximity to the retina and reflects many of the changes occurring in this tissue. The biochemical changes occurring in the vitreous could provide a better understanding about the pathophysiological processes that occur in vitreoretinopathy. In this study, we investigated the proteome of normal human vitreous humor using high resolution Fourier transform mass spectrometry. Results The vitreous humor was subjected to multiple fractionation techniques followed by LC-MS/MS analysis. We identified 1,205 proteins, 682 of which have not been described previously in the vitreous humor. Most proteins were localized to the extracellular space (24%), cytoplasm (20%) or plasma membrane (14%). Classification based on molecular function showed that 27% had catalytic activity, 10% structural activity, 10% binding activity, 4% cell and 4% transporter activity. Categorization for biological processes showed 28% participate in metabolism, 20% in cell communication and 13% in cell growth. The data have been deposited to the ProteomeXchange with identifier PXD000957. Conclusion This large catalog of vitreous proteins should facilitate biomedical research into pathological conditions of the eye including diabetic retinopathy, retinal detachment and cataract. PMID:25097467

  10. Proteomic Analysis of Vitreous Biopsy Techniques

    PubMed Central

    Skeie, Jessica M.; Brown, Eric N.; Martinez, Harryl D.; Russell, Stephen R.; Birkholz, Emily S.; Folk, James C.; Boldt, H. Culver; Gehrs, Karen M.; Stone, Edwin M.; Wright, Michael E.; Mahajan, Vinit B.

    2013-01-01

    Purpose To compare vitreous biopsy methods using analysis platforms employed in proteomics biomarker discovery. Methods Vitreous biopsies from 10 eyes were collected sequentially using a 23-gauge needle and a 23-gauge vitreous cutter instrument. Paired specimens were evaluated by UV absorbance spectroscopy, SDS-PAGE, and mass-spectrometry (LC-MS/MS). Results The total protein concentration obtained with a needle and vitrectomy instrument biopsy averaged 1.10 mg/ml (SEM = 0.35) and 1.13 mg/ml (SEM = 0.25), respectively. In eight eyes with low or medium viscidity, there was a very high correlation (R2 = 0.934) between the biopsy methods. When data from two eyes with high viscidity vitreous were included, the correlation was reduced (R2 = 0.704). The molecular weight protein SDS-PAGE profiles of paired needle and vitreous cutter samples were similar, except for a minority of pairs with single band intensity variance. Using LC-MS/MS, equivalent peptides were identified with similar frequencies (R2 ≥ 0.90) in paired samples. Conclusion Proteins and peptides collected from vitreous needle biopsies are nearly equivalent to those obtained from a vitreous cutter instrument. This study suggests both techniques may be used for most proteomic and biomarker discovery studies of vitreoretinal diseases, although a minority of proteins and peptides may differ in concentration. PMID:23095728

  11. Benchmarking stable isotope labeling based quantitative proteomics.

    PubMed

    Altelaar, A F Maarten; Frese, Christian K; Preisinger, Christian; Hennrich, Marco L; Schram, Andree W; Timmers, H Th Marc; Heck, Albert J R; Mohammed, Shabaz

    2013-08-01

    Several quantitative mass spectrometry based technologies have recently evolved to interrogate the complexity, interconnectivity and dynamic nature of proteomes. Currently, the most popular methods use either metabolic or chemical isotope labeling with MS based quantification or chemical labeling using isobaric tags with MS/MS based quantification. Here, we assess the performance of three of the most popular approaches through systematic independent large scale quantitative proteomics experiments, comparing SILAC, dimethyl and TMT labeling strategies. Although all three methods have their strengths and weaknesses, our data indicate that all three can reach a similar depth in number of identified proteins using a classical (MS2 based) shotgun approach. TMT quantification using only MS2 is heavily affected by co-isolation leading to compromised precision and accuracy. This issue may be partly resolved by using an MS3 based acquisition; however, at the cost of a significant reduction in number of proteins quantified. Interestingly, SILAC and chemical labeling with MS based quantification produce almost indistinguishable results, independent of which database search algorithm used. PMID:23085607

  12. The proteome of the wool cuticle.

    PubMed

    Koehn, Henning; Clerens, Stefan; Deb-Choudhury, Santanu; Morton, James D; Dyer, Jolon M; Plowman, Jeffrey E

    2010-06-01

    The cuticle is responsible for important wool fiber characteristics such as handle and abrasion resistance, which impact on the fiber's performance in both interior and apparel textiles. The cuticle proteome, however, is not well understood due to the difficulty in isolating pure wool cuticle and its significant resistance to protein extraction, which is attributed to the presence of extensive disulfide and isopeptide cross-linking. We investigated the proteome of highly pure Merino wool cuticle using a combined strategy of chemical and enzymatic digestion and identified 108 proteins, including proteins responsible for a variety of cellular processes. The majority of identified proteins belonged to keratin and nonkeratin protein families known to play an important role in molecular assembly and cellular structure. Keratin-associated, intermediate filament and cytoskeletal keratin proteins were identified as the most prominent keratinous cuticular constituents, while histones, tubulins, and desmosomes were the key nonkeratin structural proteins. We conclude that a variety of proteins contribute to cuticle structure and fiber characteristics, and that the keratinous protein families of IFPs and KAPs represent the most important cuticular constituents. PMID:20423113

  13. Machine learning methods for predictive proteomics.

    PubMed

    Barla, Annalisa; Jurman, Giuseppe; Riccadonna, Samantha; Merler, Stefano; Chierici, Marco; Furlanello, Cesare

    2008-03-01

    The search for predictive biomarkers of disease from high-throughput mass spectrometry (MS) data requires a complex analysis path. Preprocessing and machine-learning modules are pipelined, starting from raw spectra, to set up a predictive classifier based on a shortlist of candidate features. As a machine-learning problem, proteomic profiling on MS data needs caution like the microarray case. The risk of overfitting and of selection bias effects is pervasive: not only potential features easily outnumber samples by 10(3) times, but it is easy to neglect information-leakage effects during preprocessing from spectra to peaks. The aim of this review is to explain how to build a general purpose design analysis protocol (DAP) for predictive proteomic profiling: we show how to limit leakage due to parameter tuning and how to organize classification and ranking on large numbers of replicate versions of the original data to avoid selection bias. The DAP can be used with alternative components, i.e. with different preprocessing methods (peak clustering or wavelet based), classifiers e.g. Support Vector Machine (SVM) or feature ranking methods (recursive feature elimination or I-Relief). A procedure for assessing stability and predictive value of the resulting biomarkers' list is also provided. The approach is exemplified with experiments on synthetic datasets (from the Cromwell MS simulator) and with publicly available datasets from cancer studies. PMID:18310105

  14. Breast tumor metastasis: analysis via proteomic profiling

    PubMed Central

    Goodison, Steve; Urquidi, Virginia

    2012-01-01

    The ability to predict the metastatic behavior of a patient’s cancer, as well as to detect and eradicate such recurrences, remain major clinical challenges in oncology. While many potential molecular biomarkers have been identified and tested previously, none have greatly improved the accuracy of specimen evaluation over routine histopathological criteria and, to date, they predict individual outcomes poorly. The ongoing development of high-throughput proteomic profiling technologies is opening new avenues for the investigation of cancer and, through application in tissue-based studies and animal models, will facilitate the identification of molecular signatures that are associated with breast tumor cell phenotype. The appropriate use of these approaches has the potential to provide efficient biomarkers, and to improve our knowledge of tumor biology. This, in turn, will enable the development of targeted therapeutics aimed at ameliorating the lethal dissemination of breast cancer. In this review, we focus on the accumulating proteomic signatures of breast tumor progression, particularly those that correlate with the occurrence of distant metastases, and discuss some of the expected future developments in the field. PMID:18532913

  15. Urinary Proteomics to Support Diagnosis of Stroke

    PubMed Central

    Dawson, Jesse; Walters, Matthew; Delles, Christian; Mischak, Harald; Mullen, William

    2012-01-01

    Accurate diagnosis in suspected ischaemic stroke can be difficult. We explored the urinary proteome in patients with stroke (n = 69), compared to controls (n = 33), and developed a biomarker model for the diagnosis of stroke. We performed capillary electrophoresis online coupled to micro-time-of-flight mass spectrometry. Potentially disease-specific peptides were identified and a classifier based on these was generated using support vector machine-based software. Candidate biomarkers were sequenced by liquid chromatography-tandem mass spectrometry. We developed two biomarker-based classifiers, employing 14 biomarkers (nominal p-value <0.004) or 35 biomarkers (nominal p-value <0.01). When tested on a blinded test set of 47 independent samples, the classification factor was significantly different between groups; for the 35 biomarker model, median value of the classifier was 0.49 (−0.30 to 1.25) in cases compared to −1.04 (IQR −1.86 to −0.09) in controls, p<0.001. The 35 biomarker classifier gave sensitivity of 56%, specificity was 93% and the AUC on ROC analysis was 0.86. This study supports the potential for urinary proteomic biomarker models to assist with the diagnosis of acute stroke in those with mild symptoms. We now plan to refine further and explore the clinical utility of such a test in large prospective clinical trials. PMID:22615742

  16. Proteome analysis in the assessment of ageing.

    PubMed

    Nkuipou-Kenfack, Esther; Koeck, Thomas; Mischak, Harald; Pich, Andreas; Schanstra, Joost P; Zürbig, Petra; Schumacher, Björn

    2014-11-01

    Based on demographic trends, the societies in many developed countries are facing an increasing number and proportion of people over the age of 65. The raise in elderly populations along with improved health-care will be concomitant with an increased prevalence of ageing-associated chronic conditions like cardiovascular, renal, and respiratory diseases, arthritis, dementia, and diabetes mellitus. This is expected to pose unprecedented challenges both for individuals and societies and their health care systems. An ultimate goal of ageing research is therefore the understanding of physiological ageing and the achievement of 'healthy' ageing by decreasing age-related pathologies. However, on a molecular level, ageing is a complex multi-mechanistic process whose contributing factors may vary individually, partly overlap with pathological alterations, and are often poorly understood. Proteome analysis potentially allows modelling of these multifactorial processes. This review summarises recent proteomic research on age-related changes identified in animal models and human studies. We combined this information with pathway analysis to identify molecular mechanisms associated with ageing. We identified some molecular pathways that are affected in most or even all organs and others that are organ-specific. However, appropriately powered studies are needed to confirm these findings based in in silico evaluation. PMID:25257180

  17. Actin cytoskeleton redox proteome oxidation by cadmium

    PubMed Central

    Go, Young-Mi; Orr, Michael

    2013-01-01

    Epidemiological studies associate environmental cadmium (Cd) exposure with the risk of lung diseases. Although mechanisms are not fully elucidated, several studies demonstrate Cd effects on actin and actin-associated proteins. In a recent study of Cd at concentrations similar to environmental exposures, we found that redox-dependent inflammatory signaling by NF-κB was sensitive to the actin-disrupting agent, cytochalasin D. The goal of the present study was to use mass spectrometry-based redox proteomics to investigate Cd effects on the actin cytoskeleton proteome and related functional pathways in lung cells at low environmental concentrations. The results showed that Cd under conditions that did not alter total protein thiols or glutathione redox state caused significant oxidation of peptidyl Cys of proteins regulating actin cytoskeleton. Immunofluorescence microscopy of lung fibroblasts and pulmonary artery endothelial cells showed that low-dose Cd exposure stimulated filamentous actin formation and nuclear localization of destrin, an actin-depolymerizing factor. Taken together, the results show that redox states of peptidyl Cys in proteins associated with actin cytoskeleton pathways are selectively oxidized in lung by Cd at levels thought to occur from environmental exposure. PMID:24077948

  18. Framing the nano-biointeractions by proteomics

    NASA Astrophysics Data System (ADS)

    Sabella, S.; Maiorano, G.; Rizzello, L.; Kote, S.; Cingolani, R.; Pompa, P. P.

    2012-03-01

    Knowledge of the molecular mechanisms underlying the interactions between nanomaterials and living systems is fundamental for providing more effective products for nanomedicine and drug delivery. Controlling the response of cells/bacteria (such as activation of inflammatory processes or apoptosis/necrosis in tumor cells or pathogenic bacteria) by tuning specific properties of the nanomaterials is ultimately the challenging goal. Notably, this may also provide crucial information in the assessment of any toxic risks induced by nanoparticles on humans. However, in studying the nano-biointeractions, it is imperative to take into account the dynamic evolutions of nanoparticles in the biological environments (in terms of protein corona formation, size and charge changes) in synergy with the dynamic events occurring in cells, including signal transduction, metabolic processes, homeostasis and membrane trafficking. In this context, we discuss the impact of analytical technologies, especially in the field of proteomics, which can provide major insights into the processes affecting the NPs surface as well as the cells and bacteria functionalities. In particular, we show that a precise control of the chemical-physical characteristics of the interacting nanoparticles or nanostructures may impact the cells by inducing changes in the proteomic profiles with direct consequences on their viability.

  19. Finding Our Way in the Dark Proteome.

    PubMed

    Bhowmick, Asmit; Brookes, David H; Yost, Shane R; Dyson, H Jane; Forman-Kay, Julie D; Gunter, Daniel; Head-Gordon, Martin; Hura, Gregory L; Pande, Vijay S; Wemmer, David E; Wright, Peter E; Head-Gordon, Teresa

    2016-08-10

    The traditional structure-function paradigm has provided significant insights for well-folded proteins in which structures can be easily and rapidly revealed by X-ray crystallography beamlines. However, approximately one-third of the human proteome is comprised of intrinsically disordered proteins and regions (IDPs/IDRs) that do not adopt a dominant well-folded structure, and therefore remain "unseen" by traditional structural biology methods. This Perspective considers the challenges raised by the "Dark Proteome", in which determining the diverse conformational substates of IDPs in their free states, in encounter complexes of bound states, and in complexes retaining significant disorder requires an unprecedented level of integration of multiple and complementary solution-based experiments that are analyzed with state-of-the art molecular simulation, Bayesian probabilistic models, and high-throughput computation. We envision how these diverse experimental and computational tools can work together through formation of a "computational beamline" that will allow key functional features to be identified in IDP structural ensembles. PMID:27387657

  20. The PROTICdb database for 2-DE proteomics.

    PubMed

    Langella, Olivier; Zivy, Michel; Joets, Johann

    2007-01-01

    PROTICdb is a web-based database mainly designed to store and analyze plant proteome data obtained by 2D polyacrylamide gel electrophoresis (2D PAGE) and mass spectrometry (MS). The goals of PROTICdb are (1) to store, track, and query information related to proteomic experiments, i.e., from tissue sampling to protein identification and quantitative measurements; and (2) to integrate information from the user's own expertise and other sources into a knowledge base, used to support data interpretation (e.g., for the determination of allelic variants or products of posttranslational modifications). Data insertion into the relational database of PROTICdb is achieved either by uploading outputs from Mélanie, PDQuest, IM2d, ImageMaster(tm) 2D Platinum v5.0, Progenesis, Sequest, MS-Fit, and Mascot software, or by filling in web forms (experimental design and methods). 2D PAGE-annotated maps can be displayed, queried, and compared through the GelBrowser. Quantitative data can be easily exported in a tabulated format for statistical analyses with any third-party software. PROTICdb is based on the Oracle or the PostgreSQLDataBase Management System (DBMS) and is freely available upon request at http://cms.moulon.inra.fr/content/view/14/44/. PMID:17093318

  1. Proteomic profiling of Tectona grandis L. leaf.

    PubMed

    Quiala, Elisa; Cañal, María Jesús; Rodríguez, Roberto; Yagüe, Norma; Chávez, Maité; Barbón, Raúl; Valledor, Luis

    2012-04-01

    Tectona grandis L. (teak) is one of the premier hardwood timbers in the world, ranking at present in the top five tropical hardwood species in terms of worldwide plantation area. Characterization of the proteins present in teak leaves will provide a basis for the development of new tools aimed at assisting tree selection, the monitoring of plant propagation, and the certification of clonal and phenotypic identities. In this paper, we describe the extraction, separation, and identification of leaf proteins from T. grandis using a TCA/acetone protocol, 2DE, and MALDI-TOF. After TCA/acetone protein extraction of leaves, 998 well-resolved spots were detected in Coomassie-stained gels within the 10-114 kDa relative molecular mass (Mr) range at a pH ranging from 3 to 11. A total of 120 spots were digested and subjected to MS. Of these, 100 nonredundant protein species were successfully identified. Functional classification of the identified proteins revealed that proteins involved in photosynthesis, protein translation, and energy production were the most abundant. This work is the first high-throughput attempt to study the T. grandis leaf proteome and represents a stepping stone for further differential expression proteomic studies related to growth, development, biomass production, and culture-associated physiological responses. PMID:22522810

  2. Proteome variation among Filifactor alocis strains

    PubMed Central

    Aruni, A. Wilson; Roy, Francis; Sandberg, Lawrence; Fletcher, Hansel M.

    2015-01-01

    Filifactor alocis, a Gram-positive anaerobic rod, is now considered one of the marker organisms associated with periodontal disease. Although there was heterogeneity in its virulence potential, this bacterium was shown to have virulence properties that may enhance its ability to survive and persist in the periodontal pocket. To gain further insight into a possible mechanism(s) of pathogenesis, the proteome of F. alocis strains was evaluated. Proteins including several proteases, neutrophil-activating protein A and calcium-binding acid repeat protein, were identified in F. alocis. During the invasion of HeLa cells, there was increased expression of several of the genes encoding these proteins in the potentially more virulent F. alocis D-62D compared to F. alocis ATCC 35896, the type strain. A comparative protein in silico analysis of the proteome revealed more cell wall anchoring proteins in the F. alocis D-62D compared to F. alocis ATCC 35896. Their expression was enhanced by coinfection with Porphyromonas gingivalis. Taken together, the variation in the pathogenic potential of the F. alocis strains may be related to the differential expression of several putative virulence factors. PMID:23008013

  3. Proteomic profile of edible bird's nest proteins.

    PubMed

    Liu, Xiaoqing; Lai, Xintian; Zhang, Shiwei; Huang, Xiuli; Lan, Quanxue; Li, Yun; Li, Bifang; Chen, Wei; Zhang, Qinlei; Hong, Dezhi; Yang, Guowu

    2012-12-26

    Edible bird's nest (EBN) is made of the swiftlets' saliva, which has attracted rather more attention owing to its nutritious and medical properties. Although protein constitutes the main composition and plays an important role in EBN, few studies have focused on the proteomic profile of EBN. The purpose of this study was to produce a proteomic map and clarify common EBN proteins. Liquid-phase isoelectric focusing (LIEF) was combined with two-dimensional electrophoresis (2-DE) for comprehensive analysis of EBN proteins. From 20 to 100 protein spots were detected on 2-DE maps of EBN samples from 15 different sources. The proteins were mainly distributed in four taxa (A, B, C, and D) according to their molecular mass. Taxa A and D both contained common proteins and proteins that may be considered another characteristic of EBN. Taxon A was identified using MALDI-TOF-TOF/MS and found to be homologous to acidic mammalian chitinase-like ( Meleagris gallopavo ), which is in glycosyl hydrolase family 18. PMID:23214475

  4. Dermatophagoides farinae Allergens Diversity Identification by Proteomics*

    PubMed Central

    An, Su; Chen, Lingling; Long, Chengbo; Liu, Xiaoyu; Xu, Xuemei; Lu, Xingre; Rong, Mingqiang; Liu, Zhigang; Lai, Ren

    2013-01-01

    The most important indoor allergens for humans are house dust mites (HDM). Fourteen Dermatophagoides farinae allergens (Der f 1–3, 6, 7, 10, 11, 13–18, and 22) are reported although more than 30 allergens have been estimated in D. farinae. Seventeen allergens belonging to 12 different groups were identified by a procedure of proteomics combined with two-dimensional immunoblotting from D. farina extracts. Their sequences were determined by Edman degradation, mass spectrometry analysis, and cDNA cloning. Their allergenicities were assayed by enzyme-linked immunosorbent assay inhibition tests, immunoblots, basophil activation test, and skin prick tests. Eight of them are the first report as D. farinae allergens. The procedure of using a proteomic approach combined with a purely discovery approach using sera of patients with broad IgE reactivity profiles to mite allergens was an effective method to investigate a more complete repertoire of D. farinae allergens. The identification of eight new D. farinae allergens will be helpful for HDM allergy diagnosis and therapy, especially for patients without response for HDM major allergens. In addition, the current work significantly extendedthe repertoire of D. farinae allergens. PMID:23481662

  5. Proteomic maps of breast cancer subtypes.

    PubMed

    Tyanova, Stefka; Albrechtsen, Reidar; Kronqvist, Pauliina; Cox, Juergen; Mann, Matthias; Geiger, Tamar

    2016-01-01

    Systems-wide profiling of breast cancer has almost always entailed RNA and DNA analysis by microarray and sequencing techniques. Marked developments in proteomic technologies now enable very deep profiling of clinical samples, with high identification and quantification accuracy. We analysed 40 oestrogen receptor positive (luminal), Her2 positive and triple negative breast tumours and reached a quantitative depth of >10,000 proteins. These proteomic profiles identified functional differences between breast cancer subtypes, related to energy metabolism, cell growth, mRNA translation and cell-cell communication. Furthermore, we derived a signature of 19 proteins, which differ between the breast cancer subtypes, through support vector machine (SVM)-based classification and feature selection. Remarkably, only three proteins of the signature were associated with gene copy number variations and eleven were also reflected on the mRNA level. These breast cancer features revealed by our work provide novel insights that may ultimately translate to development of subtype-specific therapeutics. PMID:26725330

  6. Microfluidic integration for automated targeted proteomic assays.

    PubMed

    Hughes, Alex J; Lin, Robert K C; Peehl, Donna M; Herr, Amy E

    2012-04-17

    A dearth of protein isoform-based clinical diagnostics currently hinders advances in personalized medicine. A well-organized protein biomarker validation process that includes facile measurement of protein isoforms would accelerate development of effective protein-based diagnostics. Toward scalable protein isoform analysis, we introduce a microfluidic "single-channel, multistage" immunoblotting strategy. The multistep assay performs all immunoblotting steps: separation, immobilization of resolved proteins, antibody probing of immobilized proteins, and all interim wash steps. Programmable, low-dispersion electrophoretic transport obviates the need for pumps and valves. A three-dimensional bulk photoreactive hydrogel eliminates manual blotting. In addition to simplified operation and interfacing, directed electrophoretic transport through our 3D nanoporous reactive hydrogel yields superior performance over the state-of-the-art in enhanced capture efficiency (on par with membrane electroblotting) and sparing consumption of reagents (ca. 1 ng antibody), as supported by empirical and by scaling analyses. We apply our fully integrated microfluidic assay to protein measurements of endogenous prostate specific antigen isoforms in (i) minimally processed human prostate cancer cell lysate (1.1 pg limit of detection) and (ii) crude sera from metastatic prostate cancer patients. The single-instrument functionality establishes a scalable microfluidic framework for high-throughput targeted proteomics, as is relevant to personalized medicine through robust protein biomarker verification, systematic characterization of new antibody probes for functional proteomics, and, more broadly, to characterization of human biospecimen repositories. PMID:22474344

  7. Proteome profiling of Leishmania infantum promastigotes.

    PubMed

    Alcolea, Pedro J; Alonso, Ana; Larraga, Vicente

    2011-01-01

    A proteome analysis of the promastigote stage of the trypanosomatid parasite Leishmania infantum (MON-1 zymodeme) is described here for the first time. Total protein extracts were prepared at early logarithmic and stationary phases of replicate axenic cultures and processed by 2D electrophoresis (pH 3-10). A total of 28 differentially regulated proteins were identified by matrix-assisted laser desorption/ionization-tandem time of flight mass spectrometry. This approach has revealed that the electron transfer flavoprotein (ETF) and the eukaryotic elongation factor 1α (eEF1α) subunit have the same differential expression pattern at the protein and mRNA levels, up-regulation in the stationary phase. A low-molecular-weight isoform and an alternatively processed form of the eEF1α subunit have been detected. A 51 kDa subunit of replication factor A is up-regulated in dividing logarithmic promastigotes. None of the proteins described here shows opposite differential regulation values with the corresponding mRNA levels. Taken together with previous approaches to the proteome and the transcriptome, this report contributes to the elucidation of the differential regulation patterns of the ETF, the eEF1α subunit, the 40S ribosomal protein S12, α-tubulin and the T-complex protein 1 subunit γ throughout the life cycle of the parasites from the genus Leishmania. PMID:21569158

  8. Sperm Proteome Maturation in the Mouse Epididymis

    PubMed Central

    Skerget, Sheri; Rosenow, Matthew A.; Petritis, Konstantinos; Karr, Timothy L.

    2015-01-01

    In mammals, transit through the epididymis, which involves the acquisition, loss and modification of proteins, is required to confer motility and fertilization competency to sperm. The overall dynamics of maturation is poorly understood, and a systems level understanding of the complex maturation process will provide valuable new information about changes occurring during epididymal transport. We report the proteomes of sperm collected from the caput, corpus and cauda segments of the mouse epididymis, identifying 1536, 1720 and 1234 proteins respectively. This study identified 765 proteins that are present in sperm obtained from all three segments. We identified 1766 proteins that are potentially added (732) or removed (1034) from sperm during epididymal transit. Phenotypic analyses of the caput, corpus and cauda sperm proteomes identified 60 proteins that have known sperm phenotypes when mutated, or absent from sperm. Our analysis indicates that as much as one-third of proteins with known sperm phenotypes are added to sperm during epididymal transit. GO analyses revealed that cauda sperm are enriched for specific functions including sperm-egg recognition and motility, consistent with the observation that sperm acquire motility and fertilization competency during transit through the epididymis. In addition, GO analyses revealed that the immunity protein profile of sperm changes during sperm maturation. Finally, we identified components of the 26S proteasome, the immunoproteasome, and a proteasome activator in mature sperm. PMID:26556802

  9. The cell envelope proteome of Aggregatibacter actinomycetemcomitans

    PubMed Central

    Smith, Kenneth P.; Fields, Julia G.; Voogt, Richard D.; Deng, Bin; Lam, Ying-Wai; Mintz, Keith P.

    2014-01-01

    Summary The cell envelope of Gram-negative bacteria serves a critical role in maintenance of cellular homeostasis, resistance to external stress, and host-pathogen interactions. Envelope protein composition is influenced by the physiological and environmental demands placed on the bacterium. In this study, we report a comprehensive compilation of cell envelope proteins from the periodontal and systemic pathogen Aggregatibacter actinomycetemcomitans VT1169, an afimbriated serotype b strain. The urea-extracted membrane proteins were identified by mass spectrometry-based shotgun proteomics. The membrane proteome, isolated from actively growing bacteria under normal laboratory conditions, included 648 proteins representing 28% of the predicted ORFs in the genome. Bioinformatic analyses were used to annotate and predict the cellular location and function of the proteins. Surface adhesins, porins, lipoproteins, numerous influx and efflux pumps, multiple sugar, amino acid and iron transporters, and components of the type I, II and V secretion systems were identified. Periplasmic space and cytoplasmic proteins with chaperone function were also identified. 107 proteins with unknown function were associated with the cell envelope. Orthologs of a subset of these uncharacterized proteins are present in other bacterial genomes, while others are found exclusively in A. actinomycetemcomitans. This knowledge will contribute to elucidating the role of cell envelope proteins in bacterial growth and survival in the oral cavity. PMID:25055881

  10. Biochemical and proteomic characterization of alkaptonuric chondrocytes.

    PubMed

    Braconi, Daniela; Bernardini, Giulia; Bianchini, Claretta; Laschi, Marcella; Millucci, Lia; Amato, Loredana; Tinti, Laura; Serchi, Tommaso; Chellini, Federico; Spreafico, Adriano; Santucci, Annalisa

    2012-09-01

    Alkaptonuria (AKU) is a rare genetic disease associated with the accumulation of homogentisic acid (HGA) and its oxidized/polymerized products which leads to the deposition of melanin-like pigments (ochronosis) in connective tissues. Although numerous case reports have described ochronosis in joints, little is known on the molecular mechanisms leading to such a phenomenon. For this reason, we characterized biochemically chondrocytes isolated from the ochronotic cartilage of AKU patients. Based on the macroscopic appearance of the ochronotic cartilage, two sub-populations were identified: cells coming from the black portion of the cartilage were referred to as "black" AKU chondrocytes, while those coming from the white portion were referred to as "white" AKU chondrocytes. Notably, both AKU chondrocytic types were characterized by increased apoptosis, NO release, and levels of pro-inflammatory cytokines. Transmission electron microscopy also revealed that intracellular ochronotic pigment deposition was common to both "white" and "black" AKU cells. We then undertook a proteomic and redox-proteomic analysis of AKU chondrocytes which revealed profound alterations in the levels of proteins involved in cell defence, protein folding, and cell organization. An increased post-translational oxidation of proteins, which also involved high molecular weight protein aggregates, was found to be particularly relevant in "black" AKU chondrocytes. PMID:22213341

  11. Biochemical and Proteomic Characterization of Alkaptonuric Chondrocytes

    PubMed Central

    Braconi, Daniela; Bernardini, Giulia; Bianchini, Claretta; Laschi, Marcella; Millucci, Lia; Amato, Loredana; Tinti, Laura; Serchi, Tommaso; Chellini, Federico; Spreafico, Adriano; Santucci, Annalisa

    2012-01-01

    Alkaptonuria (AKU) is a rare genetic disease associated with the accumulation of homogentisic acid (HGA) and its oxidized/polymerized products which leads to the deposition of melanin-like pigments (ochronosis) in connective tissues. Although numerous case reports have described ochronosis in joints, little is known on the molecular mechanisms leading to such a phenomenon. For this reason, we characterized biochemically chondrocytes isolated from the ochronotic cartilage of AKU patients. Based on the macroscopic appearance of the ochronotic cartilage, two sub-populations were identified: cells coming from the black portion of the cartilage were referred to as “black” AKU chondrocytes, while those coming from the white portion were referred to as “white” AKU chondrocytes. Notably, both AKU chondrocytic types were characterized by increased apoptosis, NO release, and levels of pro-inflammatory cytokines. Transmission electron microscopy also revealed that intracellular ochronotic pigment deposition was common to both “white” and “black” AKU cells. We then undertook a proteomic and redox-proteomic analysis of AKU chondrocytes which revealed profound alterations in the levels of proteins involved in cell defence, protein folding, and cell organization. An increased post-translational oxidation of proteins, which also involved high molecular weight protein aggregates, was found to be particularly relevant in “black” AKU chondrocytes. J. Cell. Physiol. 227: 3333–3343, 2012. © 2011 Wiley Periodicals, Inc. PMID:22213341

  12. Characterization of the human blood plasma proteome

    SciTech Connect

    Shen, Yufeng; Kim, Jeongkwon; Strittmatter, Eric F.; Jacobs, Jon M.; Camp, David G.; Fang, Ruihua; Tolic, Nikola; Moore, Ronald J.; Smith, Richard D.

    2005-10-15

    We describe methods for broad characterization of the human plasma proteome. The combination of stepwise IgG and albumin protein depletion by affinity chromatography and ultrahigh-efficiency capillary liquid chromatography separations coupled to ion trap-tandem mass spectrometry enabled identification of 2392 proteins from a single plasma sample with an estimated confidence level of >94%, and an additional 2198 proteins with an estimated confidence level of 80%. The relative abundances of the identified proteins span a range of over eight orders of magnitude in concentration (<30 pg/mL to {approx}30 mg/mL), facilitated by the attomole-level sensitivity of the analysis methods. More than 80% of the observed proteins demonstrate interactions with IgG and/or albumin. The results from this study provide a basis for a wide range of plasma proteomics studies, including broad quantitation of relative abundances in comparative studies for the identification of novel protein disease markers, as well as further studies of protein-protein interactions.

  13. PROTEOMICS INVESTIGATIONS OF HDL. CHALLENGES AND PROMISE

    PubMed Central

    Vaisar, Tomáš

    2013-01-01

    High density lipoprotein (HDL) is recognized as the major negative risk factor of cardiovascular disease and number of anti-atherogenic functions has been ascribed to HDL. HDL is an assembly of a neutral lipid core and an outer shell consisting of polar lipids and proteins. It has been defined many different way based on various distinct properties including density flotation, protein composition, molecular size, and electrophoretic migration. Overall the studies characterizing HDL clearly demonstrate that it is a complex heterogeneous mixture of particles. Furthermore several studies convincingly demonstrated that certain populations of HDL particles have a distinct functionality suggesting that HDL may serve as a platform for assembly of protein complexes with very specific biological functions. Indeed recent proteomics studies described over 100 proteins associated with HDL. Here we review approaches to isolation and proteomic analysis of HDL and discuss potential problems associated with isolation methods which may confound our understanding of the relation of the HDL composition and its biological function. PMID:22339300

  14. Comparative Proteomics of Cannabis sativa Plant Tissues

    PubMed Central

    Raharjo, Tri J.; Widjaja, Ivy; Roytrakul, Sittiruk; Verpoorte, Robert

    2004-01-01

    Comparative proteomics of leaves, flowers, and glands of Cannabis sativa have been used to identify specific tissue-expressed proteins. These tissues have significantly different levels of cannabinoids. Cannabinoids accumulate primarily in the glands but can also be found in flowers and leaves. Proteins extracted from glands, flowers, and leaves were separated using two-dimensional gel electrophoresis. Over 800 protein spots were reproducibly resolved in the two-dimensional gels from leaves and flowers. The patterns of the gels were different and little correlation among the proteins could be observed. Some proteins that were only expressed in flowers were chosen for identification by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and peptide mass fingerprint database searching. Flower and gland proteomes were also compared, with the finding that less then half of the proteins expressed in flowers were also expressed in glands. Some selected gland protein spots were identified: F1D9.26-unknown prot. (Arabidopsis thaliana), phospholipase D beta 1 isoform 1a (Gossypium hirsutum), and PG1 (Hordeum vulgare). Western blotting was employed to identify a polyketide synthase, an enzyme believed to be involved in cannabinoid biosynthesis, resulting in detection of a single protein. PMID:15190082

  15. Combining Search Engines for Comparative Proteomics

    PubMed Central

    Tabb, David

    2012-01-01

    Many proteomics laboratories have found spectral counting to be an ideal way to recognize biomarkers that differentiate cohorts of samples. This approach assumes that proteins that differ in quantity between samples will generate different numbers of identifiable tandem mass spectra. Increasingly, researchers are employing multiple search engines to maximize the identifications generated from data collections. This talk evaluates four strategies to combine information from multiple search engines in comparative proteomics. The “Count Sum” model pools the spectra across search engines. The “Vote Counting” model combines the judgments from each search engine by protein. Two other models employ parametric and non-parametric analyses of protein-specific p-values from different search engines. We evaluated the four strategies in two different data sets. The ABRF iPRG 2009 study generated five LC-MS/MS analyses of “red” E. coli and five analyses of “yellow” E. coli. NCI CPTAC Study 6 generated five concentrations of Sigma UPS1 spiked into a yeast background. All data were identified with X!Tandem, Sequest, MyriMatch, and TagRecon. For both sample types, “Vote Counting” appeared to manage the diverse identification sets most effectively, yielding heightened discrimination as more search engines were added.

  16. Proteome analysis of chick embryonic cerebrospinal fluid.

    PubMed

    Parada, Carolina; Gato, Angel; Aparicio, Mariano; Bueno, David

    2006-01-01

    During early stages of embryo development, the brain cavity is filled with embryonic cerebrospinal fluid (E-CSF), a complex fluid containing different protein fractions that contributes to the regulation of the survival, proliferation and neurogenesis of the neuroectodermal stem cells. Using 2-DE, protein sequencing and database searches, we identified and analyzed the proteome of the E-CSF from chick embryos (Gallus gallus). We identified 26 different gene products, including proteins related to the extracellular matrix, proteins associated with the regulation of osmotic pressure and metal transport, proteins related to cell survival, MAP kinase activators, proteins involved in the transport of retinol and vitamin D, antioxidant and antimicrobial proteins, intracellular proteins and some unknown proteins. Most of these gene products are involved in the regulation of developmental processes during embryogenesis in systems other than E-CSF. Interestingly, 14 of them are also present in adult human CSF proteome, and it has been reported that they are altered in the CSF of patients suffering neurodegenerative diseases and/or neurological disorders. Understanding these molecules and the mechanisms they control during embryonic neurogenesis is a key contribution to the general understanding of CNS development, and may also contribute to greater knowledge of these human diseases. PMID:16287170

  17. Proteomic responses of fruits to environmental stresses

    PubMed Central

    Chan, Zhulong

    2012-01-01

    Fruits and vegetables are extremely susceptible to decay and easily lose commercial value after harvest. Different strategies have been developed to control postharvest decay and prevent quality deterioration during postharvest storage, including cold storage, controlled atmosphere (CA), and application of biotic and abiotic stimulus. In this review, mechanisms related to protein level responses of host side and pathogen side were characterized. Protein extraction protocols have been successfully developed for recalcitrant, low protein content fruit tissues. Comparative proteome profiling and functional analysis revealed that defense related proteins, energy metabolism, and antioxidant pathway played important roles in fruits in response to storage conditions and exogenous elicitor treatments. Secretome of pathogenic fungi has been well-investigated and the results indicated that hydrolytic enzymes were the key virulent factors for the pathogen infection. These protein level changes shed new light on interaction among fruits, pathogens, and environmental conditions. Potential postharvest strategies to reduce risk of fruit decay were further proposed based on currently available proteomic data. PMID:23335934

  18. Proteome profiling of keratinocytes transforming to malignancy.

    PubMed

    Paulitschke, Verena; Gerner, Christopher; Hofstätter, Elisabeth; Mohr, Thomas; Mayer, Rupert Laurenz; Pehamberger, Hubert; Kunstfeld, Rainer

    2015-02-01

    To shed light on the multistep process of squamous cell carcinoma development and the underlying pathologic mechanisms, we performed comparative proteome analysis of keratinocytes, keratinocytes stimulated with Il-1beta, and A431 epidermoid carcinoma cells. Fractionation of the cells into supernatant, nucleus, and cytoplasm was followed by protein separation, proteolytic digest, and nano-LC separation, and fragmentation using an ion trap mass spectrometer. Specific bioinformatics tools were used to generate a list of keratinocyte-specific proteins. Ninety percent of these proteins were found to be upregulated in keratinocytes versus the A431 cells. Classification of the identified proteins by biologic function and gene set enrichment analysis revealed that keratinocytes produced more proteins involved in cell differentiation, cell adhesion, cell junction, calcium ion, calmodulin binding, cytoskeleton organization, and cytokinesis, whereas A431 produced more proteins involved in cell cycle checkpoint, cell cycle process, RNA processing and transport, DNA damage and repair, RNA and DNA binding, and chromatin remodeling. The protein signatures of A431 and normal keratinocytes treated with IL-1beta showed marked similarity, confirming that inflammation is an important step in malignant transformation in nonmelanoma skin cancer. Thus, proteome profiling and bioinformatic processing may support the understanding of the underlying mechanisms, with the potential to facilitate development of early biomarkers and patient-tailored therapy. PMID:25395074

  19. [Cardiovascular proteomics: challenges and opportunities for cardiologists of the future].

    PubMed

    Banfi, Cristina; Brioschi, Maura; Tremoli, Elena

    2013-01-01

    Proteomics is the study of the "proteome", that is the entire protein complement of a genome. However, it is well recognized that the proteome is far more complex than previously suggested by the "one-gene, one-protein" central dogma of biology. The proteome encompasses all proteins of a cell or organism at a given time, including not only those translated directly from genetic information but also the array of modified proteins arising from alternative splicing of transcripts and post-translational processing, resulting in modifications that have the potential to alter protein structure or biological function. As proteins are involved in virtually every cellular function, control every regulatory mechanism, and are modified in disease states, the proteome dictates the phenotype of the cell and, consequently, the tissue or organ that the cells comprise. This results in a dynamic, ongoing process of protein expression and modifications. The proteome thus consists of information from protein expression, post-translational modifications, processing and turnover, localization and time. Proteomics is aimed at identifying and characterizing these protein changes and, if applied to the field of cardiovascular sciences, it has the potential to reveal those proteins that are associated with pathogenesis and could be potentially used as predictive or prognostic markers. Cardioproteomic is still in its infancy and relatively few cardiovascular diseases have been investigated. However, it has enormously increased our knowledge of the complexity of the myocardium in terms of protein composition at cellular and organelle levels. The cardiac proteome is further complicated by protein post-translational modifications, which may regulate organelle function in physiological and pathological conditions. Therefore, the incorporation of proteomics into cardiovascular research will provide a means of exploring the mechanisms of disease onset and progression. This will in turn ultimately

  20. Identification of the Oxidative Stress Proteome in the Brain

    PubMed Central

    Sultana, Rukhsana; Butterfield, D. Allan

    2011-01-01

    The redox proteomics technique normally combines two-dimensional gel electrophoresis, mass spectrometry and protein databases to analyze the cell proteome from different samples, thereby leading to the identification of specific targets of oxidative modification. Oxidative stress that occurs due to increased levels of reactive oxygen species and reactive nitrogen species can target most biomolecules, consequently leading to altered physiological function of the cells. Redox proteomics has identified oxidatively modified protein targets in different pathological conditions, consequently providing insight into the pathways involved in pathogenesis of these conditions. This approach also can be used to identify possible protective mechanisms to prevent or delay these disorders. PMID:21111808

  1. Global Analysis of Protein Activities Using Proteome Chips

    NASA Astrophysics Data System (ADS)

    Zhu, Heng; Bilgin, Metin; Bangham, Rhonda; Hall, David; Casamayor, Antonio; Bertone, Paul; Lan, Ning; Jansen, Ronald; Bidlingmaier, Scott; Houfek, Thomas; Mitchell, Tom; Miller, Perry; Dean, Ralph A.; Gerstein, Mark; Snyder, Michael

    2001-09-01

    To facilitate studies of the yeast proteome, we cloned 5800 open reading frames and overexpressed and purified their corresponding proteins. The proteins were printed onto slides at high spatial density to form a yeast proteome microarray and screened for their ability to interact with proteins and phospholipids. We identified many new calmodulin- and phospholipid-interacting proteins; a common potential binding motif was identified for many of the calmodulin-binding proteins. Thus, microarrays of an entire eukaryotic proteome can be prepared and screened for diverse biochemical activities. The microarrays can also be used to screen protein-drug interactions and to detect posttranslational modifications.

  2. Spatial and temporal dynamics of the cardiac mitochondrial proteome

    PubMed Central

    Lau, Edward; Huang, Derrick; Cao, Quan; Dincer, T. Umut; Black, Caitie M.; Lin, Amanda J.; Lee, Jessica M.; Wang, Ding; Liem, David A.; Lam, Maggie P.Y.; Ping, Peipei

    2015-01-01

    Summary Mitochondrial proteins alter in their composition and quantity drastically through time and space in correspondence to changing energy demands and cellular signaling events. The integrity and permutations of this dynamism are increasingly recognized to impact the functions of the cardiac proteome in health and disease. This article provides an overview on recent advances in defining the spatial and temporal dynamics of mitochondrial proteins in the heart. Proteomics techniques to characterize dynamics on a proteome scale are reviewed and the physiological consequences of altered mitochondrial protein dynamics are discussed. Lastly, we offer our perspectives on the unmet challenges in translating mitochondrial dynamics markers to the clinic. PMID:25752359

  3. Global quantitative proteomics using spectral counting: an inexpensive experimental and bioinformatics workflow for deep proteome coverage.

    PubMed

    Balbuena, Tiago S; Demartini, Diogo Ribeiro; Thelen, Jay J

    2014-01-01

    As the field of proteomics shifts from qualitative identification of protein "subfractions" to quantitative comparison of proteins from complex biological samples, it is apparent that the number of approaches for quantitation can be daunting for the result-oriented biologist. There have been many recent reviews on quantitative proteomic approaches, discussing the strengths and limitations of each. Unfortunately, there are few detailed methodological descriptions of any one of these quantitative approaches. Here we present a detailed bioinformatics workflow for one of the simplest, most pervasive quantitative approach-spectral counting. The informatics and statistical workflow detailed here includes newly available freeware, such as SePro and PatternLab which post-process data according to false discovery rate parameters, and statistically model the data to detect differences and trends. PMID:24136522

  4. Spatial proteomic and phospho-proteomic organization in three prototypical cell migration modes

    PubMed Central

    2014-01-01

    Background Tight spatio-temporal signaling of cytoskeletal and adhesion dynamics is required for localized membrane protrusion that drives directed cell migration. Different ensembles of proteins are therefore likely to get recruited and phosphorylated in membrane protrusions in response to specific cues. Results Here, we use an assay that allows to biochemically purify extending protrusions of cells migrating in response to three prototypical receptors: integrins, recepor tyrosine kinases and G-coupled protein receptors. Using quantitative proteomics and phospho-proteomics approaches, we provide evidence for the existence of cue-specific, spatially distinct protein networks in the different cell migration modes. Conclusions The integrated analysis of the large-scale experimental data with protein information from databases allows us to understand some emergent properties of spatial regulation of signaling during cell migration. This provides the cell migration community with a large-scale view of the distribution of proteins and phospho-proteins regulating directed cell migration. PMID:24987309

  5. The Proteome Folding Project: Proteome-scale prediction of structure and function

    PubMed Central

    Drew, Kevin; Winters, Patrick; Butterfoss, Glenn L.; Berstis, Viktors; Uplinger, Keith; Armstrong, Jonathan; Riffle, Michael; Schweighofer, Erik; Bovermann, Bill; Goodlett, David R.; Davis, Trisha N.; Shasha, Dennis; Malmström, Lars; Bonneau, Richard

    2011-01-01

    The incompleteness of proteome structure and function annotation is a critical problem for biologists and, in particular, severely limits interpretation of high-throughput and next-generation experiments. We have developed a proteome annotation pipeline based on structure prediction, where function and structure annotations are generated using an integration of sequence comparison, fold recognition, and grid-computing-enabled de novo structure prediction. We predict protein domain boundaries and three-dimensional (3D) structures for protein domains from 94 genomes (including human, Arabidopsis, rice, mouse, fly, yeast, Escherichia coli, and worm). De novo structure predictions were distributed on a grid of more than 1.5 million CPUs worldwide (World Community Grid). We generated significant numbers of new confident fold annotations (9% of domains that are otherwise unannotated in these genomes). We demonstrate that predicted structures can be combined with annotations from the Gene Ontology database to predict new and more specific molecular functions. PMID:21824995

  6. Urinary proteome alterations in HER2 enriched breast cancer revealed by multipronged quantitative proteomics.

    PubMed

    Gajbhiye, Akshada; Dabhi, Raju; Taunk, Khushman; Vannuruswamy, Garikapati; RoyChoudhury, Sourav; Adhav, Ragini; Seal, Shubhendu; Mane, Anupama; Bayatigeri, Santhakumari; Santra, Manas K; Chaudhury, Koel; Rapole, Srikanth

    2016-09-01

    Globally, breast cancer is the second most common cancer among women. Although biomarker discoveries through various proteomic approaches of tissue and serum samples have been studied in breast cancer, urinary proteome alterations in breast cancer are least studied. Urine being a noninvasive biofluid and a significant source of proteins, it has the potential in early diagnosis of breast cancer. This study used complementary quantitative gel-based and gel-free proteomic approaches to find a panel of urinary protein markers that could discriminate HER2 enriched (HE) subtype breast cancer from the healthy controls. A total of 183 differentially expressed proteins were identified using three complementary approaches, namely 2D-DIGE, iTRAQ, and sequential window acquisition of all theoretical mass spectra. The differentially expressed proteins were subjected to various bioinformatics analyses for deciphering the biological context of these proteins using protein analysis through evolutionary relationships, database for annotation, visualization and integrated discovery, and STRING. Multivariate statistical analysis was undertaken to identify the set of most significant proteins, which could discriminate HE breast cancer from healthy controls. Immunoblotting and MRM-based validation in a separate cohort testified a panel of 21 proteins such as zinc-alpha2-glycoprotein, A2GL, retinol-binding protein 4, annexin A1, SAP3, SRC8, gelsolin, kininogen 1, CO9, clusterin, ceruloplasmin, and α1-antitrypsin could be a panel of candidate markers that could discriminate HE breast cancer from healthy controls. PMID:27324523

  7. Isolation, Proteomic Analysis, and Microscopy Confirmation of the Liver Nuclear Envelope Proteome.

    PubMed

    Korfali, Nadia; Florens, Laurence; Schirmer, Eric C

    2016-01-01

    Nuclei can be relatively easily extracted from homogenized liver due to the softness of the tissue and crudely separated from other cellular organelles by low-speed centrifugation due to the comparatively large size of nuclei. However, further purification is complicated by nuclear envelope continuity with the endoplasmic reticulum, invaginations containing mitochondria, and connections to the cytoskeleton. Subsequent purification to nuclear envelopes is additionally confounded by connections of inner nuclear membrane proteins to chromatin. For these reasons, it is necessary to confirm proteomic identification of nuclear envelope proteins by testing targeting of individual proteins. The proteomic identification of nuclear envelope fractions is affected by the tendencies of transmembrane proteins to have extreme isoelectric points, strongly hydrophobic peptides, posttranslational modifications, and a propensity to aggregate, thus making proteolysis inefficient. To circumvent these problems, we have developed a MudPIT approach that uses multiple extractions and sequential proteolysis to increase identifications. Here we describe methods for isolating nuclear envelopes, determining their proteome by MudPIT, and confirming their targeting to the nuclear periphery by microscopy. PMID:27147032

  8. Asymmetric Proteome Equalization of the Skeletal Muscle Proteome Using a Combinatorial Hexapeptide Library

    PubMed Central

    Rivers, Jenny; Hughes, Chris; McKenna, Thérèse; Woolerton, Yvonne; Vissers, Johannes P. C.; Langridge, James I.; Beynon, Robert J.

    2011-01-01

    Immobilized combinatorial peptide libraries have been advocated as a strategy for equalization of the dynamic range of a typical proteome. The technology has been applied predominantly to blood plasma and other biological fluids such as urine, but has not been used extensively to address the issue of dynamic range in tissue samples. Here, we have applied the combinatorial library approach to the equalization of a tissue where there is also a dramatic asymmetry in the range of abundances of proteins; namely, the soluble fraction of skeletal muscle. We have applied QconCAT and label-free methodology to the quantification of the proteins that bind to the beads as the loading is progressively increased. Although some equalization is achieved, and the most abundant proteins no longer dominate the proteome analysis, at high protein loadings a new asymmetry of protein expression is reached, consistent with the formation of complex assembles of heat shock proteins, cytoskeletal elements and other proteins on the beads. Loading at different ionic strength values leads to capture of different subpopulations of proteins, but does not completely eliminate the bias in protein accumulation. These assemblies may impair the broader utility of combinatorial library approaches to the equalization of tissue proteomes. However, the asymmetry in equalization is manifest at either low and high ionic strength values but manipulation of the solvent conditions may extend the capacity of the method. PMID:22205978

  9. Beneficial effects of omega-3 fatty acids in the proteome of high-density lipoprotein proteome

    PubMed Central

    2012-01-01

    Background Omega-3 poly-unsaturated fatty acids (ω-3 PUFAs) have demonstrated to be beneficial in the prevention of cardiovascular disease, however, the mechanisms by which they perform their cardiovascular protection have not been clarified. Intriguingly, some of these protective effects have also been linked to HDL. The hypothesis of this study was that ω-3 PUFAs could modify the protein cargo of HDL particle in a triglyceride non-dependent mode. The objective of the study was to compare the proteome of HDL before and after ω-3 PUFAs supplemented diet. Methods A comparative proteomic analysis in 6 smoker subjects HDL before and after a 5 weeks ω-3 PUFAs enriched diet has been performed. Results Among the altered proteins, clusterin, paraoxonase, and apoAI were found to increase, while fibronectin, α-1-antitrypsin, complement C1r subcomponent and complement factor H decreased after diet supplementation with ω-3 PUFAs. Immunodetection assays confirmed these results. The up-regulated proteins are related to anti-oxidant, anti-inflammatory and anti-atherosclerotic properties of HDL, while the down-regulated proteins are related to regulation of complement activation and acute phase response. Conclusions Despite the low number of subjects included in the study, our findings demonstrate that ω-3 PUFAs supplementation modifies lipoprotein containing apoAI (LpAI) proteome and suggest that these protein changes improve the functionality of the particle. PMID:22978374

  10. Mammalian embryonic cerebrospinal fluid proteome has greater apolipoprotein and enzyme pattern complexity than the avian proteome.

    PubMed

    Parada, Carolina; Gato, Angel; Bueno, David

    2005-01-01

    During early stages of embryo development, the brain cavity is filled with Embryonic Cerebro-Spinal Fluid, which has an essential role in the survival, proliferation and neurogenesis of the neuroectodermal stem cells. We identified and analyzed the proteome of Embryonic Cerebro-Spinal Fluid from rat embryos (Rattus norvegicus), which includes proteins involved in the regulation of Central Nervous System development. The comparison between mammalian and avian Embryonic Cerebro-Spinal Fluid proteomes reveals great similarity, but also greater complexity in some protein groups. The pattern of apolipoproteins and enzymes in CSF is more complex in the mammals than in birds. This difference may underlie the greater neural complexity and synaptic plasticity found in mammals. Fourteen Embryonic Cerebro-Spinal Fluid gene products were previously identified in adult human Cerebro-Spinal Fluid proteome, and interestingly they are altered in patients with neurodegenerative diseases and/or neurological disorders. Understanding these molecules and the mechanisms they control during embryonic neurogenesis may contribute to our understanding of Central Nervous System development and evolution, and these human diseases. PMID:16335996

  11. Liver proteomics in progressive alcoholic steatosis

    SciTech Connect

    Fernando, Harshica; Wiktorowicz, John E.; Soman, Kizhake V.; Kaphalia, Bhupendra S.; Khan, M. Firoze; Shakeel Ansari, G.A.

    2013-02-01

    Fatty liver is an early stage of alcoholic and nonalcoholic liver disease (ALD and NALD) that progresses to steatohepatitis and other irreversible conditions. In this study, we identified proteins that were differentially expressed in the livers of rats fed 5% ethanol in a Lieber–DeCarli diet daily for 1 and 3 months by discovery proteomics (two-dimensional gel electrophoresis and mass spectrometry) and non-parametric modeling (Multivariate Adaptive Regression Splines). Hepatic fatty infiltration was significantly higher in ethanol-fed animals as compared to controls, and more pronounced at 3 months of ethanol feeding. Discovery proteomics identified changes in the expression of proteins involved in alcohol, lipid, and amino acid metabolism after ethanol feeding. At 1 and 3 months, 12 and 15 different proteins were differentially expressed. Of the identified proteins, down regulation of alcohol dehydrogenase (− 1.6) at 1 month and up regulation of aldehyde dehydrogenase (2.1) at 3 months could be a protective/adaptive mechanism against ethanol toxicity. In addition, betaine-homocysteine S-methyltransferase 2 a protein responsible for methionine metabolism and previously implicated in fatty liver development was significantly up regulated (1.4) at ethanol-induced fatty liver stage (1 month) while peroxiredoxin-1 was down regulated (− 1.5) at late fatty liver stage (3 months). Nonparametric analysis of the protein spots yielded fewer proteins and narrowed the list of possible markers and identified D-dopachrome tautomerase (− 1.7, at 3 months) as a possible marker for ethanol-induced early steatohepatitis. The observed differential regulation of proteins have potential to serve as biomarker signature for the detection of steatosis and its progression to steatohepatitis once validated in plasma/serum. -- Graphical abstract: The figure shows the Hierarchial cluster analysis of differentially expressed protein spots obtained after ethanol feeding for 1 (1–3

  12. A collection of intrinsic disorder characterizations from eukaryotic proteomes

    PubMed Central

    Vincent, Michael; Schnell, Santiago

    2016-01-01

    Intrinsically disordered proteins and protein regions lack a stable three-dimensional structure under physiological conditions. Several proteomic investigations of intrinsic disorder have been performed to date and have found disorder to be prevalent in eukaryotic proteomes. Here we present descriptive statistics of intrinsic disorder features for ten model eukaryotic proteomes that have been calculated from computational disorder prediction algorithms. The data descriptor also provides consensus disorder annotations as well as additional physical parameters relevant to protein disorder, and further provides protein existence information for all proteins included in our analysis. The complete datasets can be downloaded freely, and it is envisaged that they will be updated periodically with new proteomes and protein disorder prediction algorithms. These datasets will be especially useful for assessing protein disorder, and conducting novel analyses that advance our understanding of intrinsic disorder and protein structure. PMID:27326998

  13. Integrated proteomic and genomic analysis of colorectal cancer

    Cancer.gov

    Investigators who analyzed 95 human colorectal tumor samples have determined how gene alterations identified in previous analyses of the same samples are expressed at the protein level. The integration of proteomic and genomic data, or proteogenomics, pro

  14. Proteomic analyses of the environmental toxicity of carcinogenic chemicals

    EPA Science Inventory

    Protein expression and posttranslational modifications consistently change in response to the exposure to environmental chemicals. Recent technological advances in proteomics provide new tools for more efficient characterization of protein expression and posttranslational modific...

  15. Proteomic profiling of Beta vulgaris leaves during rhizomania compatible interactions

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Rhizomania severely impacts sugarbeet (Beta vulgaris) production throughout the world, and is widely prevalent in most sugarbeet growing regions. Initial efforts to characterize proteome changes focused primarily on identifying putative host factors that elicit resistant interactions with Beet Necr...

  16. Respiratory proteomics: from descriptive studies to personalized medicine.

    PubMed

    Teran, Luis M; Montes-Vizuet, Rosalia; Li, Xinping; Franz, Thomas

    2015-01-01

    Respiratory diseases are highly prevalent and affect humankind worldwide, causing extensive morbidity and mortality with the environment playing an important role. Given the complex structure of the airways, sophisticated tools are required for early diagnosis; initial symptoms are nonspecific, and the clinical diagnosis is made frequently late. Over the past few years, proteomics has made high technological progress in mass-spectrometry-based protein identification and has allowed us to gain new insights into disease mechanisms and identify potential novel therapeutic targets. This review will highlight the contributions of proteomics toward the understanding of the respiratory proteome listing potential biomarkers and its potential application to the clinic. We also outline the contributions of proteomics to creating a personalized approach in respiratory medicine. PMID:25382407

  17. GENOMIC AND PROTEOMIC TECHNIQUES APPLIED TO REPRODUCTIVE BIOLOGY

    EPA Science Inventory

    Genomic and proteomic techniques applied to reproductive biology
    John C. Rockett
    Reproductive Toxicology Division, National Health and Environmental Effects Research Laboratory, Office of Research and Development, United States Environmental Protection Agency, Research Tria...

  18. Mass Spectrometry-Based Label-Free Quantitative Proteomics

    PubMed Central

    Zhu, Wenhong; Smith, Jeffrey W.; Huang, Chun-Ming

    2010-01-01

    In order to study the differential protein expression in complex biological samples, strategies for rapid, highly reproducible and accurate quantification are necessary. Isotope labeling and fluorescent labeling techniques have been widely used in quantitative proteomics research. However, researchers are increasingly turning to label-free shotgun proteomics techniques for faster, cleaner, and simpler results. Mass spectrometry-based label-free quantitative proteomics falls into two general categories. In the first are the measurements of changes in chromatographic ion intensity such as peptide peak areas or peak heights. The second is based on the spectral counting of identified proteins. In this paper, we will discuss the technologies of these label-free quantitative methods, statistics, available computational software, and their applications in complex proteomics studies. PMID:19911078

  19. Multinozzle Emitter Array Chips for Small-Volume Proteomics

    PubMed Central

    Mao, Pan; Gomez-Sjoberg, Rafael; Wang, Daojing

    2013-01-01

    High-throughput multiplexed proteomics of small-volume biospecimens will generate new opportunities in theranostics. Achieving parallel top-down and bottom-up mass spectrometry analyses of target proteins using a unified apparatus will improve proteome characterization. We have developed a novel silicon-based microfluidic device, multinozzle emitter array chip (MEA chip), as a new platform for small-volume proteomics using liquid chromatography-nanoelectrospray ionization mass spectrometry (LC-nanoESI-MS). We demonstrate parallel, on-chip, and on-line LC-MS analysis of hemoglobin and its tryptic digests directly from microliters of blood, achieving a detection limit of less than 5 red blood cells. Our MEA chip will enable clinical proteomics of small-volume samples. PMID:23252432

  20. ProteoWizard - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    ProteoWizard highlight - 2007, Dr. Parag Mallick and Darren Kessner had one idea in mind – how could they develop robust proteomics software that is relatively “easy” to use and transferable between labs.

  1. The Clinical Proteomic Technologies for Cancer | Characterization Process

    Cancer.gov

    An objective of the Reagents and Resources component of NCI's Clinical Proteomic Technologies for Cancer Initiative is to generate highly characterized monoclonal antibodies to human proteins associated with cancer.

  2. Proteomics analysis of bodily fluids in pancreatic cancer

    PubMed Central

    Pan, Sheng; Brentnall, Teresa A.; Chen, Ru

    2015-01-01

    Proteomics study of pancreatic cancer using bodily fluids emphasizes biomarker discovery and clinical application, presenting unique prospect and challenges. Depending on the physiological nature of the bodily fluid and its proximity to pancreatic cancer, the proteomes of bodily fluids, such as pancreatic juice, pancreatic cyst fluid, blood, bile and urine, can be substantially different in terms of protein constitution and the dynamic range of protein concentration. Thus, a comprehensive discovery and specific detection of cancer-associated proteins within these varied fluids is a complex task, requiring rigorous experiment design and a concerted approach. While major challenges still remain, fluid proteomics studies in pancreatic cancer to date have provided a wealth of information in revealing proteome alterations associated with pancreatic cancer in various bodily fluids. PMID:25780901

  3. A Biologist's Field Guide to Multiplexed Quantitative Proteomics.

    PubMed

    Bakalarski, Corey E; Kirkpatrick, Donald S

    2016-05-01

    High-throughput genomic and proteomic studies have generated near-comprehensive catalogs of biological constituents within many model systems. Nevertheless, static catalogs are often insufficient to fully describe the dynamic processes that drive biology. Quantitative proteomic techniques address this need by providing insight into closely related biological states such as the stages of a therapeutic response or cellular differentiation. The maturation of quantitative proteomics in recent years has brought about a variety of technologies, each with their own strengths and weaknesses. It can be difficult for those unfamiliar with this evolving landscape to match the experiment at hand with the best tool for the job. Here, we outline quantitative methods for proteomic mass spectrometry and discuss their benefits and weaknesses from the perspective of the biologist aiming to generate meaningful data and address mechanistic questions. PMID:26873251

  4. Proteomics of effector-triggered immunity (ETI) in plants

    PubMed Central

    Hurley, Brenden; Subramaniam, Rajagopal; Guttman, David S; Desveaux, Darrell

    2014-01-01

    Effector-triggered immunity (ETI) was originally termed gene-for-gene resistance and dates back to fundamental observations of flax resistance to rust fungi by Harold Henry Flor in the 1940s. Since then, genetic and biochemical approaches have defined our current understanding of how plant “resistance” proteins recognize microbial effectors. More recently, proteomic approaches have expanded our view of the protein landscape during ETI and contributed significant advances to our mechanistic understanding of ETI signaling. Here we provide an overview of proteomic techniques that have been used to study plant ETI including both global and targeted approaches. We discuss the challenges associated with ETI proteomics and highlight specific examples from the literature, which demonstrate how proteomics is advancing the ETI research field. PMID:25513776

  5. The Clinical Proteomic Technologies for Cancer | Reagent Opportunities

    Cancer.gov

    An objective of the Reagents and Resources component of NCI's Clinical Proteomic Technologies for Cancer Initiative is to generate highly characterized monoclonal antibodies to human proteins associated with cancer.

  6. Data detailing the platelet acetyl-lysine proteome

    PubMed Central

    Aslan, Joseph E.; David, Larry L.; McCarty, Owen J.T.

    2015-01-01

    Here we detail proteomics data that describe the acetyl-lysine proteome of blood platelets (Aslan et al., 2015 [1]). An affinity purification – mass spectrometry (AP-MS) approach was used to identify proteins modified by Nε-lysine acetylation in quiescent, washed human platelets. The data provide insights into potential regulatory mechanisms of platelet function mediated by protein lysine acetylation. Additionally, as platelets are anucleate and lack histone proteins, they offer a unique and valuable system to study the regulation of cytosolic proteins by lysine acetylation. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (Vizcaino et al., 2014 [2]) via with PRIDE partner repository with the dataset identifier PXD002332. PMID:26904711

  7. Data detailing the platelet acetyl-lysine proteome.

    PubMed

    Aslan, Joseph E; David, Larry L; McCarty, Owen J T

    2015-12-01

    Here we detail proteomics data that describe the acetyl-lysine proteome of blood platelets (Aslan et al., 2015 [1]). An affinity purification - mass spectrometry (AP-MS) approach was used to identify proteins modified by Nε-lysine acetylation in quiescent, washed human platelets. The data provide insights into potential regulatory mechanisms of platelet function mediated by protein lysine acetylation. Additionally, as platelets are anucleate and lack histone proteins, they offer a unique and valuable system to study the regulation of cytosolic proteins by lysine acetylation. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (Vizcaino et al., 2014 [2]) via with PRIDE partner repository with the dataset identifier PXD002332. PMID:26904711

  8. Challenges of protein extraction from recalcitrant plant tissues for proteomics

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Proteins play an important role in several biological processes. Proteomics encompasses basically four principal applications, namely protein mining, protein expression profiling, protein-network mapping and mapping of protein modifications. The results in these applications depend mostly on the c...

  9. Letter from the Director - Office of Cancer Clinical Proteomics Research

    Cancer.gov

    The NCI's Clinical Proteomic Technologies for Cancer (CPTC) initiative has made tremendous progress knocking down barriers to the field which is indicative of both the dedication to the highest quality of research by its investigators and commitment to open standards.

  10. Shotgun proteomics of bacterial pathogens: advances, challenges and clinical implications.

    PubMed

    Semanjski, Maja; Macek, Boris

    2016-02-01

    Mass spectrometry-based proteomics is increasingly used in analysis of bacterial pathogens. Simple experimental set-ups based on high accuracy mass spectrometry and powerful biochemical and bioinformatics tools are capable of reliably quantifying levels of several thousand bacterial proteins in a single experiment, reaching the analytical capacity to completely map whole proteomes. Here the authors present the state-of-the-art in bacterial pathogen proteomics and discuss challenges that the field is facing, especially in analysis of low abundant, modified proteins from organisms that are difficult to culture. Constant improvements in speed and sensitivity of mass spectrometers, as well as in bioinformatic and biochemical workflows will soon allow for comprehensive analysis of regulatory mechanisms of pathogenicity and enable routine application of proteomics in the clinical setting. PMID:26653908

  11. The UniProtKB guide to the human proteome

    PubMed Central

    Breuza, Lionel; Poux, Sylvain; Estreicher, Anne; Famiglietti, Maria Livia; Magrane, Michele; Tognolli, Michael; Bridge, Alan; Baratin, Delphine; Redaschi, Nicole

    2016-01-01

    Advances in high-throughput and advanced technologies allow researchers to routinely perform whole genome and proteome analysis. For this purpose, they need high-quality resources providing comprehensive gene and protein sets for their organisms of interest. Using the example of the human proteome, we will describe the content of a complete proteome in the UniProt Knowledgebase (UniProtKB). We will show how manual expert curation of UniProtKB/Swiss-Prot is complemented by expert-driven automatic annotation to build a comprehensive, high-quality and traceable resource. We will also illustrate how the complexity of the human proteome is captured and structured in UniProtKB. Database URL: www.uniprot.org PMID:26896845

  12. Proteomics analysis of bodily fluids in pancreatic cancer.

    PubMed

    Pan, Sheng; Brentnall, Teresa A; Chen, Ru

    2015-08-01

    Proteomics study of pancreatic cancer using bodily fluids emphasizes biomarker discovery and clinical application, presenting unique prospect and challenges. Depending on the physiological nature of the bodily fluid and its proximity to pancreatic cancer, the proteomes of bodily fluids, such as pancreatic juice, pancreatic cyst fluid, blood, bile, and urine, can be substantially different in terms of protein constitution and the dynamic range of protein concentration. Thus, a comprehensive discovery and specific detection of cancer-associated proteins within these varied fluids is a complex task, requiring rigorous experiment design and a concerted approach. While major challenges still remain, fluid proteomics studies in pancreatic cancer to date have provided a wealth of information in revealing proteome alterations associated with pancreatic cancer in various bodily fluids. PMID:25780901

  13. Comparative testis proteome dataset between cattleyak and yak.

    PubMed

    Yang, Fang; Mipam, TserangDonko; Sun, Lei; Yu, Shumin; Cai, Xin

    2016-09-01

    Cattleyak are hybrid between cattle and yak, which exhibit equivalent adaptability on the Qinghai-Tibetan Plateau as yak and much higher capability in economic traits. However, the F1 males of cattleyak are infertile due to spermatogenic arrest and this greatly restricts the effective utilization of this hybrid. In this data article, differentially expressed proteins (DEPs) were identified from testis proteome of cattleyak and yak using high-performance liquid chromatography-electrospray tandem mass spectrometry (LC-ESI-MS/MS). All the DEPs were subjected to functional classification by Gene Ontology (GO) analysis and gene-pathway annotation by Kyoto Encyclopedia of Genes and Genomes (KEGG). The comparative testis proteome dataset here can shed new light on the molecular characteristics of male infertility of cattleyak on proteome level, "Comparative iTRAQ proteomics revealed proteins associated with spermatogenic arrest of cattleyak" [1]. PMID:27366779

  14. A collection of intrinsic disorder characterizations from eukaryotic proteomes.

    PubMed

    Vincent, Michael; Schnell, Santiago

    2016-01-01

    Intrinsically disordered proteins and protein regions lack a stable three-dimensional structure under physiological conditions. Several proteomic investigations of intrinsic disorder have been performed to date and have found disorder to be prevalent in eukaryotic proteomes. Here we present descriptive statistics of intrinsic disorder features for ten model eukaryotic proteomes that have been calculated from computational disorder prediction algorithms. The data descriptor also provides consensus disorder annotations as well as additional physical parameters relevant to protein disorder, and further provides protein existence information for all proteins included in our analysis. The complete datasets can be downloaded freely, and it is envisaged that they will be updated periodically with new proteomes and protein disorder prediction algorithms. These datasets will be especially useful for assessing protein disorder, and conducting novel analyses that advance our understanding of intrinsic disorder and protein structure. PMID:27326998

  15. The Clinical Proteomic Technologies for Cancer | Antibody Portal

    Cancer.gov

    An objective of the Reagents and Resources component of NCI's Clinical Proteomic Technologies for Cancer Initiative is to generate highly characterized monoclonal antibodies to human proteins associated with cancer.

  16. The Clinical Proteomic Technologies for Cancer | Antibody Scientific Committee

    Cancer.gov

    An objective of the Reagents and Resources component of NCI's Clinical Proteomic Technologies for Cancer Initiative is to generate highly characterized monoclonal antibodies to human proteins associated with cancer.

  17. Gene-Expression Novelty in Allopolyploid Cotton: A Proteomic Perspective

    PubMed Central

    Hu, Guanjing; Koh, Jin; Yoo, Mi-Jeong; Chen, Sixue; Wendel, Jonathan F.

    2015-01-01

    Allopolyploidization is accompanied by changes in gene expression that are thought to contribute to phenotypic diversification. Here we describe global changes in the single-celled cotton fiber proteome of two natural allopolyploid species (Gossypium hirsutum and G. barbadense) and living models of their diploid parents using two different proteomic approaches. In total, 1323 two-dimensional gel electrophoresis spots and 1652 identified proteins by isobaric tags for relative and absolute quantitation were quantitatively profiled during fiber elongation. Between allopolyploids and their diploid A- and D-genome progenitors, amounts of differential expression ranged from 4.4 to 12.8%. Over 80% of the allopolyploid proteome was additively expressed with respect to progenitor diploids. Interestingly, the fiber proteome of G. hirsutum resembles the parental A-genome more closely, where long, spinable fiber first evolved, than does the fiber proteome of G. barbadense. More protein expression patterns were A-dominant than D-dominant in G. hirsutum, but in G. barbadense, the direction of expression-level dominance switched from the D-genome to the A-genome during fiber development. Comparison of developmental changes between the two allopolyploid species revealed a high level of proteomic differentiation despite their shared ancestry, relatively recent evolutionary divergence, and similar gross morphology. These results suggest that the two allopolyploid species have achieved superficially similar modern fiber phenotypes through different evolutionary routes at the proteome level. We also detected homeolog-specific expression for 1001 proteins and present a novel approach to infer the relationship between homeolog-specific and duplicate expression patterns. Our study provides a proteomic perspective on understanding evolutionary consequences of allopolyploidization, showing how protein expression has been altered by polyploidization and subsequently has diversified among

  18. Quantitative proteomics in Giardia duodenalis-Achievements and challenges.

    PubMed

    Emery, Samantha J; Lacey, Ernest; Haynes, Paul A

    2016-08-01

    Giardia duodenalis (syn. G. lamblia and G. intestinalis) is a protozoan parasite of vertebrates and a major contributor to the global burden of diarrheal diseases and gastroenteritis. The publication of multiple genome sequences in the G. duodenalis species complex has provided important insights into parasite biology, and made post-genomic technologies, including proteomics, significantly more accessible. The aims of proteomics are to identify and quantify proteins present in a cell, and assign functions to them within the context of dynamic biological systems. In Giardia, proteomics in the post-genomic era has transitioned from reliance on gel-based systems to utilisation of a diverse array of techniques based on bottom-up LC-MS/MS technologies. Together, these have generated crucial foundations for subcellular proteomes, elucidated intra- and inter-assemblage isolate variation, and identified pathways and markers in differentiation, host-parasite interactions and drug resistance. However, in Giardia, proteomics remains an emerging field, with considerable shortcomings evident from the published research. These include a bias towards assemblage A, a lack of emphasis on quantitative analytical techniques, and limited information on post-translational protein modifications. Additionally, there are multiple areas of research for which proteomic data is not available to add value to published transcriptomic data. The challenge of amalgamating data in the systems biology paradigm necessitates the further generation of large, high-quality quantitative datasets to accurately model parasite biology. This review surveys the current proteomic research available for Giardia and evaluates their technical and quantitative approaches, while contextualising their biological insights into parasite pathology, isolate variation and eukaryotic evolution. Finally, we propose areas of priority for the generation of future proteomic data to explore fundamental questions in Giardia

  19. Understanding the responses of rice to environmental stress using proteomics.

    PubMed

    Singh, Raksha; Jwa, Nam-Soo

    2013-11-01

    Diverse abiotic and biotic stresses have marked effects on plant growth and productivity. To combat such stresses, plants have evolved complex but not well understood responses. Common effects upon perception of environmental stress are differential expression of the plant proteome and the synthesis of novel regulatory proteins for protection from and acclimation to stress conditions. Plants respond differently in terms of activation of stress-responsive signaling pathways depending upon the type and nature of the stresses to which they are exposed. Progress in proteomics and systems biology approaches has made it possible to identify the novel proteins and their interactions that function in abiotic stress responses. This will enable elucidation of the functions of individual proteins and their roles in signaling networks. Proteomic analysis of the responses to various stress conditions is performed most commonly using 2D gel electrophoresis and high-throughput identification by LC-MS/MS. Because of recent developments in proteomics techniques, numerous proteomics studies of rice under abiotic stress conditions have been performed. In this review, proteomics studies addressing rice responses to the major environmental stresses--including cold, heat, drought, salt, heavy metals, minerals, UV radiation, and ozone--are discussed. Unique or common protein responses to these stress conditions are summarized and interpreted according to their possible physiological responses in each stress. Additionally, proteomics studies on various plant systems under various abiotic stress conditions are compared to provide deeper understanding of specific and common proteome responses in rice and other plant systems, which will further contribute to the identification of abiotic stress tolerance factor at protein level. Functional analysis of stress-responsive proteins will provide new research objectives with the aim of achieving stable crop productivity in the face of the

  20. A global topology map of the Saccharomyces cerevisiae membrane proteome

    NASA Astrophysics Data System (ADS)

    Kim, Hyun; Melén, Karin; Österberg, Marie; von Heijne, Gunnar

    2006-07-01

    The yeast Saccharomyces cerevisiae is, arguably, the best understood eukaryotic model organism, yet comparatively little is known about its membrane proteome. Here, we report the cloning and expression of 617 S. cerevisiae membrane proteins as fusions to a C-terminal topology reporter and present experimentally constrained topology models for 546 proteins. By homology, the experimental topology information can be extended to 15,000 membrane proteins from 38 fully sequenced eukaryotic genomes. membrane proteins | membrane proteomics | yeast