Literature DB >> 18772871

Calculating absolute and relative protein abundance from mass spectrometry-based protein expression data.

Christine Vogel1, Edward M Marcotte.   

Abstract

Mass spectrometry (MS)-based shotgun proteomics allows protein identifications even in complex biological samples. Protein abundances can then be estimated from the counts of tandem MS (MS/MS) spectra attributable to each protein, provided one accounts for differential MS detectability of contributing peptides. We developed a method, APEX, which calculates Absolute Protein EXpression levels based upon learned correction factors, MS/MS spectral counts and each protein's probability of correct identification. This protocol describes APEX-based calculations in three parts. (i) Using training data, peptide sequences and their sequence properties, a model is built to estimate MS detectability (O(i)) for any given protein. (ii) Absolute protein abundances are calculated from spectral counts, identification probabilities and the learned O(i)-values. (iii) Simple statistics allow calculation of differential expression in two distinct biological samples, i.e., measuring relative protein abundances. APEX-based protein abundances span 3-4 orders of magnitude and are applicable to mixtures of 100s to 1,000s of proteins.

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Year:  2008        PMID: 18772871     DOI: 10.1038/nport.2008.132

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  42 in total

1.  Label-free protein quantitation using weighted spectral counting.

Authors:  Christine Vogel; Edward M Marcotte
Journal:  Methods Mol Biol       Date:  2012

2.  Application of survival analysis methodology to the quantitative analysis of LC-MS proteomics data.

Authors:  Carmen D Tekwe; Raymond J Carroll; Alan R Dabney
Journal:  Bioinformatics       Date:  2012-05-24       Impact factor: 6.937

3.  Highly reproducible label free quantitative proteomic analysis of RNA polymerase complexes.

Authors:  Amber L Mosley; Mihaela E Sardiu; Samantha G Pattenden; Jerry L Workman; Laurence Florens; Michael P Washburn
Journal:  Mol Cell Proteomics       Date:  2010-11-03       Impact factor: 5.911

4.  Toward the complete characterization of host cell proteins in biotherapeutics via affinity depletions, LC-MS/MS, and multivariate analysis.

Authors:  James A Madsen; Victor Farutin; Theresa Carbeau; Steve Wudyka; Yan Yin; Stephen Smith; James Anderson; Ishan Capila
Journal:  MAbs       Date:  2015-08-20       Impact factor: 5.857

Review 5.  Current affairs in quantitative targeted proteomics: multiple reaction monitoring-mass spectrometry.

Authors:  Anastasia K Yocum; Arul M Chinnaiyan
Journal:  Brief Funct Genomic Proteomic       Date:  2009-03-11

6.  Nongradient blue native gel analysis of serum proteins and in-gel detection of serum esterase activities.

Authors:  Nopporn Thangthaeng; Nathalie Sumien; Michael J Forster; Ruchir A Shah; Liang-Jun Yan
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2010-12-31       Impact factor: 3.205

7.  Protein expression regulation under oxidative stress.

Authors:  Christine Vogel; Gustavo Monteiro Silva; Edward M Marcotte
Journal:  Mol Cell Proteomics       Date:  2011-09-20       Impact factor: 5.911

Review 8.  Proteomics of Saccharomyces cerevisiae Organelles.

Authors:  Elena Wiederhold; Liesbeth M Veenhoff; Bert Poolman; Dirk Jan Slotboom
Journal:  Mol Cell Proteomics       Date:  2009-12-01       Impact factor: 5.911

9.  Comparison of two label-free global quantitation methods, APEX and 2D gel electrophoresis, applied to the Shigella dysenteriae proteome.

Authors:  Srilatha Kuntumalla; John C Braisted; Shih-Ting Huang; Prashanth P Parmar; David J Clark; Hamid Alami; Quanshun Zhang; Arthur Donohue-Rolfe; Saul Tzipori; Robert D Fleischmann; Scott N Peterson; Rembert Pieper
Journal:  Proteome Sci       Date:  2009-06-29       Impact factor: 2.480

10.  Proteome-wide cellular protein concentrations of the human pathogen Leptospira interrogans.

Authors:  Johan Malmström; Martin Beck; Alexander Schmidt; Vinzenz Lange; Eric W Deutsch; Ruedi Aebersold
Journal:  Nature       Date:  2009-07-15       Impact factor: 49.962

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