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人类病原体结核分枝杆菌 H37Rv 的全球蛋白质-蛋白质相互作用网络。

Global protein-protein interaction network in the human pathogen Mycobacterium tuberculosis H37Rv.

机构信息

National Key Laboratory of Agricultural Microbiology, Center for Proteomics Research, College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.

出版信息

J Proteome Res. 2010 Dec 3;9(12):6665-77. doi: 10.1021/pr100808n. Epub 2010 Nov 10.

DOI:10.1021/pr100808n
PMID:20973567
Abstract

Analysis of the protein-protein interaction network of a pathogen is a powerful approach for dissecting gene function, potential signal transduction, and virulence pathways. This study looks at the construction of a global protein-protein interaction (PPI) network for the human pathogen Mycobacterium tuberculosis H37Rv, based on a high-throughput bacterial two-hybrid method. Almost the entire ORFeome was cloned, and more than 8000 novel interactions were identified. The overall quality of the PPI network was validated through two independent methods, and a high success rate of more than 60% was obtained. The parameters of PPI networks were calculated. The average shortest path length was 4.31. The topological coefficient of the M. tuberculosis B2H network perfectly followed a power law distribution (correlation = 0.999; R-squared = 0.999) and represented the best fit in all currently available PPI networks. A cross-species PPI network comparison revealed 94 conserved subnetworks between M. tuberculosis and several prokaryotic organism PPI networks. The global network was linked to the protein secretion pathway. Two WhiB-like regulators were found to be highly connected proteins in the global network. This is the first systematic noncomputational PPI data for the human pathogen, and it provides a useful resource for studies of infection mechanisms, new signaling pathways, and novel antituberculosis drug development.

摘要

分析病原体的蛋白质-蛋白质相互作用网络是剖析基因功能、潜在信号转导和毒力途径的有力方法。本研究基于高通量细菌双杂交方法,构建了人类病原体结核分枝杆菌 H37Rv 的全局蛋白质-蛋白质相互作用(PPI)网络。几乎克隆了整个 ORFeome,并鉴定了超过 8000 个新的相互作用。通过两种独立的方法验证了 PPI 网络的整体质量,成功率超过 60%。计算了 PPI 网络的参数。平均最短路径长度为 4.31。结核分枝杆菌 B2H 网络的拓扑系数完全遵循幂律分布(相关性=0.999;R 平方=0.999),在所有现有 PPI 网络中表现出最佳拟合。种间 PPI 网络比较显示,结核分枝杆菌和几种原核生物 PPI 网络之间存在 94 个保守子网。全局网络与蛋白质分泌途径相关联。在全局网络中发现了两个 WhiB 样调节剂是高度连接的蛋白质。这是人类病原体的第一个系统的非计算性 PPI 数据,为感染机制、新信号通路和新型抗结核药物开发的研究提供了有用的资源。

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