Global Protein−Protein Interaction Network in the Human Pathogen Mycobacterium tuberculosis H37Rv

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• 作者：Yi Wang ; Tao Cui ; Cong Zhang ; Min Yang ; Yuanxia Huang ; Weihui Li ; Lei Zhang ; Chunhui Gao ; Yang He ; Yuqing Li ; Feng Huang ; Jumei Zeng ; Cheng Huang ; Qiong Yang ; Yuxi Tian ; Chunchao Zhao ; Huanchun Chen
• 刊名：Journal of Proteome Research
• 出版年：2010
• 出版时间：December 3, 2010
• 年：2010
• 卷：9
• 期：12
• 页码：6665-6677
• 全文大小：948K
• 年卷期：v.9,no.12(December 3, 2010)
• ISSN：1535-3907

文摘

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.

Keywords:

Mycobacterium tuberculosis; PPI network; virulence; secretion; WhiB3