Literature DB >> 21455478

ABRF-PRG07: advanced quantitative proteomics study.

Arnold M Falick1, William S Lane, Kathryn S Lilley, Michael J MacCoss, Brett S Phinney, Nicholas E Sherman, Susan T Weintraub, H Ewa Witkowska, Nathan A Yates.   

Abstract

A major challenge for core facilities is determining quantitative protein differences across complex biological samples. Although there are numerous techniques in the literature for relative and absolute protein quantification, the majority is nonroutine and can be challenging to carry out effectively. There are few studies comparing these technologies in terms of their reproducibility, accuracy, and precision, and no studies to date deal with performance across multiple laboratories with varied levels of expertise. Here, we describe an Association of Biomolecular Resource Facilities (ABRF) Proteomics Research Group (PRG) study based on samples composed of a complex protein mixture into which 12 known proteins were added at varying but defined ratios. All of the proteins were present at the same concentration in each of three tubes that were provided. The primary goal of this study was to allow each laboratory to evaluate its capabilities and approaches with regard to: detection and identification of proteins spiked into samples that also contain complex mixtures of background proteins and determination of relative quantities of the spiked proteins. The results returned by 43 participants were compiled by the PRG, which also collected information about the strategies used to assess overall performance and as an aid to development of optimized protocols for the methodologies used. The most accurate results were generally reported by the most experienced laboratories. Among laboratories that used the same technique, values that were closer to the expected ratio were obtained by more experienced groups.

Entities:  

Keywords:  Association of Biomolecular Resource Facilities study; protein quantification; protein quantitation

Mesh:

Substances:

Year:  2011        PMID: 21455478      PMCID: PMC3059538     

Source DB:  PubMed          Journal:  J Biomol Tech        ISSN: 1524-0215


  11 in total

1.  Fluorescence two-dimensional difference gel electrophoresis and mass spectrometry based proteomic analysis of Escherichia coli.

Authors:  Jun X Yan; Angelica T Devenish; Robin Wait; Tim Stone; Steve Lewis; Sue Fowler
Journal:  Proteomics       Date:  2002-12       Impact factor: 3.984

2.  Comparison of fluorescent stains: relative photostability and differential staining of proteins in two-dimensional gels.

Authors:  Gary B Smejkal; Myra H Robinson; Alexander Lazarev
Journal:  Electrophoresis       Date:  2004-08       Impact factor: 3.535

3.  Quantitative cancer proteomics: stable isotope labeling with amino acids in cell culture (SILAC) as a tool for prostate cancer research.

Authors:  Patrick A Everley; Jeroen Krijgsveld; Bruce R Zetter; Steven P Gygi
Journal:  Mol Cell Proteomics       Date:  2004-04-21       Impact factor: 5.911

4.  Comparison of label-free methods for quantifying human proteins by shotgun proteomics.

Authors:  William M Old; Karen Meyer-Arendt; Lauren Aveline-Wolf; Kevin G Pierce; Alex Mendoza; Joel R Sevinsky; Katheryn A Resing; Natalie G Ahn
Journal:  Mol Cell Proteomics       Date:  2005-06-23       Impact factor: 5.911

5.  The Association of Biomolecular Resource Facilities Proteomics Research Group 2006 study: relative protein quantitation.

Authors:  Christoph W Turck; Arnold M Falick; Jeffrey A Kowalak; William S Lane; Kathryn S Lilley; Brett S Phinney; Susan T Weintraub; H Ewa Witkowska; Nathan A Yates
Journal:  Mol Cell Proteomics       Date:  2007-05-18       Impact factor: 5.911

6.  Quantitative analysis of complex protein mixtures using isotope-coded affinity tags.

Authors:  S P Gygi; B Rist; S A Gerber; F Turecek; M H Gelb; R Aebersold
Journal:  Nat Biotechnol       Date:  1999-10       Impact factor: 54.908

7.  Proteolytic 18O labeling for comparative proteomics: model studies with two serotypes of adenovirus.

Authors:  X Yao; A Freas; J Ramirez; P A Demirev; C Fenselau
Journal:  Anal Chem       Date:  2001-07-01       Impact factor: 6.986

8.  Detecting differential and correlated protein expression in label-free shotgun proteomics.

Authors:  Bing Zhang; Nathan C VerBerkmoes; Michael A Langston; Edward Uberbacher; Robert L Hettich; Nagiza F Samatova
Journal:  J Proteome Res       Date:  2006-11       Impact factor: 4.466

9.  Proteome analysis of Saccharomyces cerevisiae under metal stress by two-dimensional differential gel electrophoresis.

Authors:  Yi Hu; Gang Wang; Grace Y J Chen; Xin Fu; Shao Q Yao
Journal:  Electrophoresis       Date:  2003-05       Impact factor: 3.535

10.  Assessing factors for reliable quantitative proteomics based on two-dimensional gel electrophoresis.

Authors:  Julie Fiévet; Christine Dillmann; Gilles Lagniel; Marlène Davanture; Luc Negroni; Jean Labarre; Dominique de Vienne
Journal:  Proteomics       Date:  2004-07       Impact factor: 3.984

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  7 in total

Review 1.  Popular computational methods to assess multiprotein complexes derived from label-free affinity purification and mass spectrometry (AP-MS) experiments.

Authors:  Irina M Armean; Kathryn S Lilley; Matthew W B Trotter
Journal:  Mol Cell Proteomics       Date:  2012-10-15       Impact factor: 5.911

2.  The conserved set of host proteins incorporated into HIV-1 virions suggests a common egress pathway in multiple cell types.

Authors:  Michael E Linde; David R Colquhoun; Ceereena Ubaida Mohien; Thomas Kole; Veronica Aquino; Robert Cotter; Nathan Edwards; James E K Hildreth; David R Graham
Journal:  J Proteome Res       Date:  2013-03-29       Impact factor: 4.466

Review 3.  A Review of the Scientific Rigor, Reproducibility, and Transparency Studies Conducted by the ABRF Research Groups.

Authors:  Sheenah M Mische; Nancy C Fisher; Susan M Meyn; Katia Sol-Church; Rebecca L Hegstad-Davies; Frances Weis-Garcia; Marie Adams; John M Ashton; Kym M Delventhal; Julie A Dragon; Laura Holmes; Pratik Jagtap; Kristopher E Kubow; Christopher E Mason; Magnus Palmblad; Brian C Searle; Christoph W Turck; Kevin L Knudtson
Journal:  J Biomol Tech       Date:  2020-04

4.  Histone deacetylase inhibitors globally enhance h3/h4 tail acetylation without affecting h3 lysine 56 acetylation.

Authors:  Paul Drogaris; Valérie Villeneuve; Christelle Pomiès; Eun-Hye Lee; Véronique Bourdeau; Eric Bonneil; Gerardo Ferbeyre; Alain Verreault; Pierre Thibault
Journal:  Sci Rep       Date:  2012-01-12       Impact factor: 4.379

5.  Evaluation of iTRAQ and SWATH-MS for the Quantification of Proteins Associated with Insulin Resistance in Human Duodenal Biopsy Samples.

Authors:  Sylvie Bourassa; Frédéric Fournier; Benjamin Nehmé; Isabelle Kelly; André Tremblay; Valéry Lemelin; Benoit Lamarche; Patrick Couture; Arnaud Droit
Journal:  PLoS One       Date:  2015-05-07       Impact factor: 3.240

6.  Quantitative Proteomics via High Resolution MS Quantification: Capabilities and Limitations.

Authors:  Richard E Higgs; Jon P Butler; Bomie Han; Michael D Knierman
Journal:  Int J Proteomics       Date:  2013-04-23

7.  Systems-based analyses of brain regions functionally impacted in Parkinson's disease reveals underlying causal mechanisms.

Authors:  Brigit E Riley; Shyra J Gardai; Dorothea Emig-Agius; Marina Bessarabova; Alexander E Ivliev; Birgitt Schüle; Birgit Schüle; Jeff Alexander; William Wallace; Glenda M Halliday; J William Langston; Scott Braxton; Ted Yednock; Thomas Shaler; Jennifer A Johnston
Journal:  PLoS One       Date:  2014-08-29       Impact factor: 3.240

  7 in total

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