Global protein-protein interaction network in the human pathogen Mycobacterium tuberculosis H37Rv.
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.
Wang
Yi
Y
National Key Laboratory of Agricultural Microbiology, Center for Proteomics Research, College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Cui
Tao
T
Zhang
Cong
C
Yang
Min
M
Huang
Yuanxia
Y
Li
Weihui
W
Zhang
Lei
L
Gao
Chunhui
C
He
Yang
Y
Li
Yuqing
Y
Huang
Feng
F
Zeng
Jumei
J
Huang
Cheng
C
Yang
Qiong
Q
Tian
Yuxi
Y
Zhao
Chunchao
C
Chen
Huanchun
H
Zhang
Hua
H
He
Zheng-Guo
ZG
D001426:Bacterial Proteins / Q000235:genetics / Q000378:metabolism*; D006801:Humans; D008954:Models, Biological; D009169:Mycobacterium tuberculosis / Q000235:genetics / Q000378:metabolism*; D011485:Protein Binding; D025941:Protein Interaction Mapping / Q000379:methods*; D040901:Proteomics / Q000379:methods; D015398:Signal Transduction; D014376:Tuberculosis / Q000382:microbiology; D020798:Two-Hybrid System Techniques
D001426:Bacterial Proteins