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一种分析细胞死亡网络的系统级策略:探索细胞凋亡/自噬连接的启示。

A systems level strategy for analyzing the cell death network: implication in exploring the apoptosis/autophagy connection.

机构信息

Department of Molecular Genetics, Weizmann Institute of Science, Rehovot 76100, Israel.

出版信息

Cell Death Differ. 2010 Aug;17(8):1244-53. doi: 10.1038/cdd.2010.7. Epub 2010 Feb 12.

DOI:10.1038/cdd.2010.7
PMID:20150916
Abstract

The mammalian cell death network comprises three distinct functional modules: apoptosis, autophagy and programmed necrosis. Currently, the field lacks systems level approaches to assess the extent to which the intermodular connectivity affects cell death performance. Here, we developed a platform that is based on single and double sets of RNAi-mediated perturbations targeting combinations of apoptotic and autophagic genes. The outcome of perturbations is measured both at the level of the overall cell death responses, using an unbiased quantitative reporter, and by assessing the molecular responses within the different functional modules. Epistatic analyses determine whether seemingly unrelated pairs of proteins are genetically linked. The initial running of this platform in etoposide-treated cells, using a few single and double perturbations, identified several levels of connectivity between apoptosis and autophagy. The knock down of caspase3 turned on a switch toward autophagic cell death, which requires Atg5 or Beclin-1. In addition, a reciprocal connection between these two autophagic genes and apoptosis was identified. By applying computational tools that are based on mining the protein-protein interaction database, a novel biochemical pathway connecting between Atg5 and caspase3 is suggested. Scaling up this platform into hundreds of perturbations potentially has a wide, general scope of applicability, and will provide the basis for future modeling of the cell death network.

摘要

哺乳动物细胞死亡网络由三个不同的功能模块组成

细胞凋亡、自噬和程序性细胞坏死。目前,该领域缺乏系统水平的方法来评估模块间的连接程度如何影响细胞死亡性能。在这里,我们开发了一个基于 RNAi 介导的基因敲低的平台,靶向细胞凋亡和自噬基因的组合。通过使用无偏定量报告来测量整体细胞死亡反应的水平,以及通过评估不同功能模块内的分子反应,来测量干扰的结果。上位性分析确定了看似不相关的蛋白质是否在遗传上是相关的。在依托泊苷处理的细胞中,通过少数的单次和双次敲低来初步运行该平台,鉴定了细胞凋亡和自噬之间的几个连接水平。敲低 caspase3 会向自噬细胞死亡打开一个开关,这需要 Atg5 或 Beclin-1。此外,还鉴定了这两个自噬基因和细胞凋亡之间的一个相互连接。通过应用基于挖掘蛋白质-蛋白质相互作用数据库的计算工具,提出了一个新的生化途径,将 Atg5 和 caspase3 连接起来。将这个平台扩展到数百个敲低实验,具有广泛的适用性,将为未来的细胞死亡网络建模提供基础。

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