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病毒系统生物学:感染过程中动态蛋白质网络的蛋白质组学分析。

Virus systems biology: Proteomics profiling of dynamic protein networks during infection.

机构信息

Institute of Biochemistry II, Faculty of Medicine, Goethe University, Frankfurt am Main, Germany.

Institute of Biochemistry II, Faculty of Medicine, Goethe University, Frankfurt am Main, Germany; Frankfurt Cancer Institute, Frankfurt am Main, Germany; Cardio-Pulmonary Institute, Frankfurt am Main, Germany.

出版信息

Adv Virus Res. 2021;109:1-29. doi: 10.1016/bs.aivir.2020.12.001. Epub 2021 Jan 4.

Abstract

The host cell proteome undergoes a variety of dynamic changes during viral infection, elicited by the virus itself or host cell defense mechanisms. Studying these changes on a global scale by integrating functional and physical interactions within protein networks during infection is an important tool to understand pathology. Indeed, proteomics studies dissecting protein signaling cascades and interaction networks upon infection showed how global information can significantly improve understanding of disease mechanisms of diverse viral infections. Here, we summarize and give examples of different experimental designs, proteomics approaches and bioinformatics analyses that allow profiling proteome changes and host-pathogen interactions to gain a molecular systems view of viral infection.

摘要

在病毒感染过程中,宿主细胞蛋白质组会发生多种动态变化,这些变化是由病毒本身或宿主细胞防御机制引起的。通过整合感染过程中蛋白质网络内的功能和物理相互作用,在全局范围内研究这些变化是了解病理学的重要工具。事实上,通过感染来剖析蛋白质信号级联和相互作用网络的蛋白质组学研究表明,全局信息如何能够显著提高对各种病毒感染疾病机制的理解。在这里,我们总结并举例说明了不同的实验设计、蛋白质组学方法和生物信息学分析,这些方法可以分析蛋白质组变化和宿主-病原体相互作用,从而获得病毒感染的分子系统视图。

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