Literature DB >> 16219938

Absolute quantification of proteins by LCMSE: a virtue of parallel MS acquisition.

Jeffrey C Silva1, Marc V Gorenstein, Guo-Zhong Li, Johannes P C Vissers, Scott J Geromanos.   

Abstract

Relative quantification methods have dominated the quantitative proteomics field. There is a need, however, to conduct absolute quantification studies to accurately model and understand the complex molecular biology that results in proteome variability among biological samples. A new method of absolute quantification of proteins is described. This method is based on the discovery of an unexpected relationship between MS signal response and protein concentration: the average MS signal response for the three most intense tryptic peptides per mole of protein is constant within a coefficient of variation of less than +/-10%. Given an internal standard, this relationship is used to calculate a universal signal response factor. The universal signal response factor (counts/mol) was shown to be the same for all proteins tested in this study. A controlled set of six exogenous proteins of varying concentrations was studied in the absence and presence of human serum. The absolute quantity of the standard proteins was determined with a relative error of less than +/-15%. The average MS signal responses of the three most intense peptides from each protein were plotted against their calculated protein concentrations, and this plot resulted in a linear relationship with an R(2) value of 0.9939. The analyses were applied to determine the absolute concentration of 11 common serum proteins, and these concentrations were then compared with known values available in the literature. Additionally within an unfractionated Escherichia coli lysate, a subset of identified proteins known to exist as functional complexes was studied. The calculated absolute quantities were used to accurately determine their stoichiometry.

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Year:  2005        PMID: 16219938     DOI: 10.1074/mcp.M500230-MCP200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  515 in total

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2.  Rapid comparison of a candidate biosimilar to an innovator monoclonal antibody with advanced liquid chromatography and mass spectrometry technologies.

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3.  Absolute quantification of the glycolytic pathway in yeast: deployment of a complete QconCAT approach.

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Journal:  Mol Cell Proteomics       Date:  2011-09-19       Impact factor: 5.911

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Authors:  Berend Hoekman; Rainer Breitling; Frank Suits; Rainer Bischoff; Peter Horvatovich
Journal:  Mol Cell Proteomics       Date:  2012-02-07       Impact factor: 5.911

5.  PTMScan direct: identification and quantification of peptides from critical signaling proteins by immunoaffinity enrichment coupled with LC-MS/MS.

Authors:  Matthew P Stokes; Charles L Farnsworth; Albrecht Moritz; Jeffrey C Silva; Xiaoying Jia; Kimberly A Lee; Ailan Guo; Roberto D Polakiewicz; Michael J Comb
Journal:  Mol Cell Proteomics       Date:  2012-02-09       Impact factor: 5.911

6.  Analysis of host-cell proteins in biotherapeutic proteins by comprehensive online two-dimensional liquid chromatography/mass spectrometry.

Authors:  Catalin E Doneanu; Alex Xenopoulos; Keith Fadgen; Jim Murphy; St John Skilton; Holly Prentice; Martha Stapels; Weibin Chen
Journal:  MAbs       Date:  2012 Jan-Feb       Impact factor: 5.857

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Journal:  Mol Cell Proteomics       Date:  2012-03-15       Impact factor: 5.911

8.  Mass spectrometry in high-throughput proteomics: ready for the big time.

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Journal:  J Am Soc Mass Spectrom       Date:  2010-05-06       Impact factor: 3.109

10.  Global analysis reveals the complexity of the human glomerular extracellular matrix.

Authors:  Rachel Lennon; Adam Byron; Jonathan D Humphries; Michael J Randles; Alex Carisey; Stephanie Murphy; David Knight; Paul E Brenchley; Roy Zent; Martin J Humphries
Journal:  J Am Soc Nephrol       Date:  2014-01-16       Impact factor: 10.121

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