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Biomarker Candidate Identification in Yersinia p estis Using Organism-Wide Semiquantitative Proteomics

2006; American Chemical Society; Volume: 5; Issue: 11 Linguagem: Inglês

10.1021/pr060179y

1535-3907

Kim Hixson, Joshua Adkins, Scott Baker, Ronald J. Moore, Brett A. Chromy, Richard Smith, Sandra L. McCutchen‐Maloney, Mary Lipton,

Plant-based Medicinal Research

The accurate mass and time tag mass spectrometry method and clustering analysis were used to compare 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 mammalian host. Eighty-nine proteins were observed to have similar abundance change profiles to 29 known virulence associated proteins, providing identification of additional biomarker candidates. Eighty-seven hypothetical proteins, which clustered into 5 distinct clusters of like-protein abundance change, were identified as unique biomarkers related specifically to growth condition. Keywords: biomarker · Yersinia · HPLC · mass spectrometry · relative quantitation