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Comparison of full versus partial metabolic labeling for quantitative proteomics analysis in Arabidopsis thaliana.

Comparison of full versus partial metabolic labeling for quantitative proteomics analysis in Arabidopsis thaliana. Research Abstract Details 

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  • Comparison of full versus partial metabolic labeling for quantitative proteomics analysis in Arabidopsis thaliana. Abstract Text:

    edward l huttlinEdward L Huttlin,adrian d hegemanAdrian D Hegeman,amy c harmsAmy C Harms,michael r sussmanMichael R Sussman,edward l huttlinEdward L Huttlin,adrian d hegemanAdrian D Hegeman,amy c harmsAmy C Harms,michael r sussmanMichael R Sussman,

    In recent years a variety of quantitative proteomics techniques have been developed, allowing characterization of changes in protein abundance in a variety of organisms under various biological conditions. Because it allows excellent control for error at all steps in sample preparation and analysis, full metabolic labeling using (15)N has emerged as an important strategy for quantitative proteomics, having been applied in a variety of organisms from yeast to Arabidopsis and even rats. However, challenges associated with complete replacement of (14)N with (15)N can make its application in many complex eukaryotic systems impractical on a routine basis. Extending a concept proposed by Whitelegge et al. (Whitelegge, J. P., Katz, J. E., Pihakari, K. A., Hale, R., Aguilera, R., Gomez, S. M., Faull, K. F., Vavilin, D., and Vermaas, W. (2004) Subtle modification of isotope ratio proteomics; an integrated strategy for expression proteomics. Phytochemistry 65, 1507-1515), we investigate an alternative strategy for quantitative proteomics that relies upon the subtle changes in isotopic envelope shape that result from partial metabolic labeling to compare relative abundances of labeled and unlabeled peptides in complex mixtures. We present a novel algorithm for the automated quantitative analysis of partial incorporation samples via LC-MS. We then compare the performance of partial metabolic labeling with traditional full metabolic labeling for quantification of controlled mixtures of labeled and unlabeled Arabidopsis peptides. Finally we evaluate the performance of each technique for comparison of light- versus dark-grown Arabidopsis with respect to reproducibility and numbers of peptide and protein identifications under more realistic experimental conditions. Overall full metabolic labeling and partial metabolic labeling prove to be comparable with respect to dynamic range, accuracy, and reproducibility, although partial metabolic labeling consistently allows quantification of a higher percentage of peptide observations across the dynamic range. This difference is especially pronounced at extreme ratios. Ultimately both full metabolic labeling and partial metabolic labeling prove to be well suited for quantitative proteomics characterization.

    Comparison of full versus partial metabolic labeling for quantitative proteomics analysis in Arabidopsis thaliana. Publishing Authors By Initials

    el huttlinEL Huttlin,ad hegemanAD Hegeman,ac harmsAC Harms,mr sussmanMR Sussman,el huttlinEL Huttlin,ad hegemanAD Hegeman,ac harmsAC Harms,mr sussmanMR Sussman,

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    Comparison of full versus partial metabolic labeling for quantitative proteomics analysis in Arabidopsis thaliana. Journal Published:

    PUBLICATION TYPE: Research Support, U.S. Gov't,

    Journal: Molecular & cellular proteomics : MCP

    VOLUME: 6

    Page Numbers: 860-81

    Journal Abbreviation:

    ISSN: 1535-9476

    DAY: 9

    MONTH: 02

    YEAR: 2007

    Comparison of full versus partial metabolic labeling for quantitative proteomics analysis in Arabidopsis thaliana. Information

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    LANGUAGE: eng

    NlmUniqueID: 101125647

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    Grant and Affiliation Information for Comparison of full versus partial metabolic labeling for quantitative proteomics analysis in Arabidopsis thaliana.

    AFFILIATION: Department of Biochemistry, University of Wisconsin, Madison, Wisconsin 53706, USA. elhuttin@wisc.edu

    Country: United States

    United States Research PublicationUnited States Research Publication

    AGENCY: United States NIGMS

    GRANT: 5 T32 GM08439

    ACRONYM: GM

    MEDLINETA: Mol Cell Proteomics

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