A Comprehensive Subcellular Proteomic Survey of Salmonella Grown under Phagosome-Mimicking versus Standard Laboratory Conditions.
A Comprehensive Subcellular Proteomic Survey of Salmonella Grown under Phagosome-Mimicking versus Standard Laboratory Conditions.
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DOI：
10.1155/2012/123076
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Adkins JN
中科院分区：
文献类型：
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作者：
Brown RN;Sanford JA;Park JH;Deatherage BL;Champion BL;Smith RD;Heffron F;Adkins JN
为了从系统水平了解肠炎沙门氏菌，我们对该病原菌进行了亚细胞蛋白质组学分析，该病原体生长在标准实验室和体外吞噬小体模拟条件下。对细胞质、内膜、周质和外膜组分的蛋白质分析得到了理论蛋白质组的25%的覆盖率。有信心的亚细胞定位可以被分配给超过1000个蛋白质，实验观察到的定位与预测/已知的蛋白质性质之间有很好的一致性。不同环境条件下蛋白质位置的比较为蛋白质的动态定位和可能的兼职(多功能)活动提供了洞察。动态本地化的显著例子是双成分监管系统(如ArcB和PhoQ)的反应调节器。DNA结合蛋白DPS通常被认为是细胞质的，在所研究的所有生长条件下，外膜上的DNA结合蛋白显著丰富，表明有兼职活动。这些观察结果表明，沙门氏菌蛋白的一个子集存在未知的转运机制和新的功能。总体而言，这项工作提供了一个经过实验验证的沙门氏菌亚细胞蛋白质位置的目录，并为使用计算模型进行进一步研究提供了一个框架。
Towards developing a systems-level pathobiological understanding of Salmonella enterica, we performed a subcellular proteomic analysis of this pathogen grown under standard laboratory and phagosome-mimicking conditions in vitro. Analysis of proteins from cytoplasmic, inner membrane, periplasmic, and outer membrane fractions yielded coverage of 25% of the theoretical proteome. Confident subcellular location could be assigned to over 1000 proteins, with good agreement between experimentally observed location and predicted/known protein properties. Comparison of protein location under the different environmental conditions provided insight into dynamic protein localization and possible moonlighting (multiple function) activities. Notable examples of dynamic localization were the response regulators of two-component regulatory systems (e.g., ArcB and PhoQ). The DNA-binding protein Dps that is generally regarded as cytoplasmic was significantly enriched in the outer membrane for all growth conditions examined, suggestive of moonlighting activities. These observations imply the existence of unknown transport mechanisms and novel functions for a subset of Salmonella proteins. Overall, this work provides a catalog of experimentally verified subcellular protein locations for Salmonella and a framework for further investigations using computational modeling.