Biomarker candidate identification in Yersinia pestis using organism-wide semiquantitative proteomics

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

Research output: Contribution to journalArticlepeer-review

37 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)3008-3017
Number of pages10
JournalJournal of Proteome Research
Issue number11
StatePublished - Nov 2006
Externally publishedYes


  • Biomarker
  • HPLC
  • Mass spectrometry
  • Relative quantitation
  • Yersinia

ASJC Scopus subject areas

  • Genetics
  • Biotechnology
  • Biochemistry


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