Literature DB >> 17639608

Protein abundance ratios for global studies of prokaryotes.

Qiangwei Xia1, Erik L Hendrickson, Tiansong Wang, Richard J Lamont, John A Leigh, Murray Hackett.   

Abstract

The use of multidimensional capillary HPLC combined with MS/MS has allowed high qualitative and quantitative proteome coverage of prokaryotic organisms. The determination of protein abundance change between two or more conditions has matured to the point that false discovery rates can be very low and for smaller proteomes coverage is sufficiently high to explicitly consider false negative error. Selected aspects of using these methods for global protein abundance assessments are reviewed. These include instrumental issues that influence the reliability of abundance ratios; a comparison of sources of nonlinearity, errors, and data compression in proteomics and spotted cDNA arrays; strengths and weaknesses of spectral counting versus stable isotope metabolic labeling; and a survey of microbiological applications of global abundance analysis at the protein level. Proteomic results for two organisms that have been studied extensively using these methods are reviewed in greater detail. Spectral counting and metabolic labeling data are compared and the utility of proteomics for global gene regulation studies are discussed for the methanogenic Archaeon Methanococcus maripaludis. The oral pathogen Porphyromonas gingivalis is discussed as an example of an organism where a large percentage of the proteome differs in relative abundance between the intracellular and extracellular phenotype.

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Year:  2007        PMID: 17639608      PMCID: PMC2660852          DOI: 10.1002/pmic.200700267

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  94 in total

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8.  Quantitative proteomics of intracellular Porphyromonas gingivalis.

Authors:  Qiangwei Xia; Tiansong Wang; Fred Taub; Yoonsuk Park; Cindy A Capestany; Richard J Lamont; Murray Hackett
Journal:  Proteomics       Date:  2007-12       Impact factor: 3.984

9.  Quantitative proteomics of nutrient limitation in the hydrogenotrophic methanogen Methanococcus maripaludis.

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Journal:  BMC Microbiol       Date:  2009-09-01       Impact factor: 3.605

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