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Comparative Proteomic Analysis of Candida albicans and Candida glabrata

机译:白色念珠菌和光滑念珠菌的比较蛋白质组学分析

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Introduction Candida albicans and Candida glabrata are the two most common opportunistic pathogens which are part of the normal flora in humans. Clinical diagnosis of infection by these organisms is still largely based on culturing of these organisms. In order to identify species-specific protein expression patterns, we carried out a comparative proteomic analysis of C. albicans and C. glabrata. Methods We used “isobaric tag for relative and absolute quantitation” (iTRAQ) labeling of cell homogenates of C. albicans and C. glabrata followed by LC-MS/MS analysis using a quadrupole time-of-flight mass spectrometer. The MS/MS data was searched against a protein database comprised of known and predicted proteins reported from these two organisms. Subsequently, we carried out a bioinformatics analysis to group orthologous proteins across C. albicans and C. glabrata and calculated protein abundance changes between the two species. Results and Conclusions We identified 500 proteins from these organisms, the large majority of which corresponded to predicted transcripts. A number of proteins were observed to be significantly differentially expressed between the two species including enolase (Eno1), fructose-bisphosphate aldolase (Fba1), CCT ring complex subunit (Cct2), pyruvate kinase (Cdc19), and pyruvate carboxylase (Pyc2). This study illustrates a strategy for investigating protein expression patterns across closely related organisms by combining orthology information with quantitative proteomics.
机译:引言白色念珠菌和光滑念珠菌是两种最常见的机会病原体,属于人类正常菌群。这些生物感染的临床诊断仍主要基于这些生物的培养。为了鉴定物种特异性蛋白质表达模式,我们对白色念珠菌和光滑念珠菌进行了蛋白质组学比较分析。方法我们使用“等压标记进行相对和绝对定量”(iTRAQ)标记白色念珠菌和光滑念珠菌的细胞匀浆,然后使用四极杆飞行时间质谱仪进行LC-MS / MS分析。在蛋白质数据库中搜索MS / MS数据,该蛋白质数据库包含从这两个生物体报告的已知和预测蛋白质。随后,我们进行了生物信息学分析,对白色念珠菌和光滑念珠菌的直系同源蛋白质进行分组,并计算了两个物种之间的蛋白质丰度变化。结果与结论我们从这些生物中鉴定出500种蛋白质,其中大多数与预测的转录本相对应。观察到两种蛋白质在烯醇酶(Eno1),果糖-双磷酸醛缩酶(Fba1),CCT环复合亚基(Cct2),丙酮酸激酶(Cdc19)和丙酮酸羧化酶(Pyc2)之间显着差异表达。这项研究说明了通过将正交信息与定量蛋白质组学相结合来研究紧密相关生物之间蛋白质表达模式的策略。

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