Biomarker Candidate Identification in Yersinia pestis Using Organism-Wide Semiquantitative Proteomics
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- 作者：Kim K. Hixson ; Joshua N. Adkins ; Scott E. Baker ; Ronald J. Moore ; Brett A. Chromy ; Richard D. Smith ; Sandra L. McCutchen-Maloney ; Mary S. Lipton
- 刊名：Journal of Proteome Research
- 出版年：2006
- 出版时间：November 2006
- 年：2006
- 卷：5
- 期：11
- 页码：3008 - 3017
- 全文大小：557K
- 年卷期：v.5,no.11(November 2006)
- ISSN：1535-3907
文摘
The accurate mass and time tag mass spectrometry method and clustering analysis were used tocompare the abundance change of 992 Yersinia pestis proteins under four contrasting growth conditions(26 and 37 
C, with or without Ca2+) that mimicked growth states in either a flea vector or mammalianhost. Eighty-nine proteins were observed to have similar abundance change profiles to 29 knownvirulence associated proteins, providing identification of additional biomarker candidates. Eighty-sevenhypothetical proteins, which clustered into 5 distinct clusters of like-protein abundance change, wereidentified as unique biomarkers related specifically to growth condition.
C, with or without Ca2+) that mimicked growth states in either a flea vector or mammalianhost. Eighty-nine proteins were observed to have similar abundance change profiles to 29 knownvirulence associated proteins, providing identification of additional biomarker candidates. Eighty-sevenhypothetical proteins, which clustered into 5 distinct clusters of like-protein abundance change, wereidentified as unique biomarkers related specifically to growth condition.