模拟吞噬体与标准实验室条件下沙门氏菌亚细胞蛋白质组学研究

International journal of proteomics Pub Date : 2012-01-01 Epub Date: 2012-07-25 DOI:10.1155/2012/123076
Roslyn N Brown, James A Sanford, Jea H Park, Brooke L Deatherage, Boyd L Champion, Richard D Smith, Fred Heffron, Joshua N Adkins
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引用次数: 21

摘要

为了对肠沙门氏菌进行系统水平的病理生物学理解,我们在标准实验室和体外模拟吞噬体条件下对这种病原体进行了亚细胞蛋白质组学分析。细胞质、内膜、外质和外膜部分的蛋白质分析得到25%的理论蛋白质组覆盖率。自信的亚细胞位置可以分配到超过1000个蛋白质,在实验观察到的位置和预测/已知的蛋白质特性之间有很好的一致性。在不同环境条件下蛋白质定位的比较提供了对动态蛋白质定位和可能的兼职(多功能)活动的深入了解。动态定位的显著例子是双组分调控系统的响应调控(如ArcB和PhoQ)。通常被认为是细胞质的dna结合蛋白Dps在所有生长条件下都在外膜显著富集,表明其具有兼职活性。这些观察结果暗示存在未知的转运机制和沙门氏菌蛋白子集的新功能。总的来说,这项工作提供了沙门氏菌实验验证的亚细胞蛋白位置目录,并为使用计算模型进行进一步研究提供了框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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A Comprehensive Subcellular Proteomic Survey of Salmonella Grown under Phagosome-Mimicking versus Standard Laboratory Conditions.

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.

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