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Molecular & Cellular Proteomics 5:144-156, 2006.
© 2006 by The American Society for Biochemistry and Molecular Biology, Inc.

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Research

Absolute Quantification of Proteins by LCMS^E

A Virtue of Parallel ms Acquisition ^*,S

Jeffrey C. Silva^,, Marc V. Gorenstein, Guo-Zhong Li, Johannes P. C. Vissers^¶ and Scott J. Geromanos

From the Waters Corporation, Milford, Massachusetts 01757-3696 and ^¶ Waters Corporation, Transistorstraat 18, 1322 CE Almere, The Netherlands

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 R² 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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