Biomarker candidate identification in Yersinia pestis using organism-wide semiquantitative proteomics
Biomarker candidate identification in Yersinia pestis using organism-wide semiquantitative proteomics
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DOI：
10.1021/pr060179y
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发表时间：
2006-11-03
影响因子：
4.4
通讯作者：
Lipton, Mary S.
中科院分区：
文献类型：
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作者：
Hixson, Kim K.;Adkins, Joshua N.;Lipton, Mary S.
采用精确的质量和时间标签质谱法和聚类分析比较了992鼠疫耶尔森菌蛋白在模拟跳蚤载体或哺乳动物宿主生长状态的四种不同生长条件下（26和37℃，有或没有Ca2+）的丰度变化。89种蛋白被观察到与29种已知毒力相关蛋白具有相似的丰度变化谱，从而提供了其他生物标志物候选物的鉴定。87种假设的蛋白质，聚集成5个不同的类蛋白丰度变化簇，被确定为与生长条件特异性相关的独特生物标志物。
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 degrees 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.