Biomarker Candidate Identification in Yersinia pestis Using Organism-Wide Semiquantitative Proteomics

KK Hixson, JN Adkins, SE Baker…�- Journal of proteome�…, 2006 - ACS Publications
KK Hixson, JN Adkins, SE Baker, RJ Moore, BA Chromy, RD Smith, SL McCutchen-Maloney…
Journal of proteome research, 2006ACS Publications
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�…
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
ACS Publications
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