Proteomics and integrative omic approaches for understanding host-pathogen interactions and infectious diseases.
Proteomics and integrative omic approaches for understanding host-pathogen interactions and infectious diseases.
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DOI：
10.15252/msb.20167062
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发表时间：
2017-03-27
影响因子：
9.9
通讯作者：
Cristea IM
中科院分区：
文献类型：
--
作者：
Jean Beltran PM;Federspiel JD;Sheng X;Cristea IM
生物体在其环境中不断暴露于微生物病原体。当病原体遇到宿主时，一系列复杂的细胞内相互作用形成了感染的结果。对这些宿主-病原体相互作用的了解对于开发针对传染病的治疗和预防措施至关重要。在过去的十年中，蛋白质组学方法已经成为发现和理解宿主-病原体相互作用的主要贡献者，这些相互作用代表了抗和促致病细胞反应。本文就这些蛋白质组学方法及其在研究病毒和细菌胞内病原体中的应用进行综述。我们检查的方法来定义空间和时间宿主病原体蛋白相互作用时，感染宿主细胞。为了进一步扩大对感染过程中蛋白质组组织的理解，我们讨论了通过蛋白质丰度、定位和翻译后修饰的改变来表征宿主和病原体蛋白质组调节的方法。最后，我们重点介绍了可用于分析这些蛋白质组学数据集的生物信息学工具，以及将蛋白质组学与其他组学工具（如基因组学、转录组学和代谢组学）整合的新策略，以获得对传染病的系统级理解。
Organisms are constantly exposed to microbial pathogens in their environments. When a pathogen meets its host, a series of intricate intracellular interactions shape the outcome of the infection. The understanding of these host–pathogen interactions is crucial for the development of treatments and preventive measures against infectious diseases. Over the past decade, proteomic approaches have become prime contributors to the discovery and understanding of host–pathogen interactions that represent anti‐ and pro‐pathogenic cellular responses. Here, we review these proteomic methods and their application to studying viral and bacterial intracellular pathogens. We examine approaches for defining spatial and temporal host–pathogen protein interactions upon infection of a host cell. Further expanding the understanding of proteome organization during an infection, we discuss methods that characterize the regulation of host and pathogen proteomes through alterations in protein abundance, localization, and post‐translational modifications. Finally, we highlight bioinformatic tools available for analyzing such proteomic datasets, as well as novel strategies for integrating proteomics with other omic tools, such as genomics, transcriptomics, and metabolomics, to obtain a systems‐level understanding of infectious diseases.