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金黄色葡萄球菌蛋白质相互作用网络及功能
引用本文:刘琦,姜春雷,许正超,徐辉,赵锐,乔代蓉,曹毅.金黄色葡萄球菌蛋白质相互作用网络及功能[J].微生物学报,2009,49(1):56-63.
作者姓名:刘琦  姜春雷  许正超  徐辉  赵锐  乔代蓉  曹毅
作者单位:四川大学生命科学学院,四川省生物信息与代谢工程共享实验平台,成都,610064
基金项目:国家自然科学基金(30871321),教育部新世纪人才项目(NCET-05-0785)
摘    要:【目的】金黄色葡萄球菌是一种革兰氏阳性菌,是目前最难以对付的病菌之一。它能引起多种感染,特别是在医院环境中。近年来,抗药性金黄色葡萄球菌传染更加严重,已成为公共卫生威胁。由于以前对于金黄色葡萄球菌的实验性研究大都是基于单个基因或者蛋白进行的,为了更好的研究这个物种,有必要从整体上把握金黄色葡萄球菌的蛋白作用机理。【方法】采用系统发生谱、操纵子法、基因融合法、基因邻近法、同源映射法等五种计算方法预测金黄色葡萄球菌蛋白质相互作用网络。【结果】从蛋白组的角度构建了金黄色葡萄球菌蛋白相互作用网络,并对网络进行功能分析。【结论】网络的分析表明金黄色葡萄球菌的蛋白质相互作用网络也服从scale-free属性,发现了SA0939、SA0868、rplD等重要的蛋白。通过对金黄色葡萄球菌的重要的细胞壁合成和信号转导调控蛋白局部网络分析,发现了一些对这两个系统十分重要的蛋白分子,这些信息将为更好的了解金黄色葡萄球菌的致病机理和开发新的药物靶点提供指导。

关 键 词:金黄色葡萄球菌  蛋白质相互作用  系统发生谱  基因融合法  同源映射
收稿时间:2008/7/25 0:00:00
修稿时间:2008/9/28 0:00:00

Analysis of protein interaction network and function of Staphylococcus aureus
Qi Liu,Chunlei Jiang,Zhengchao Xu,Hui Xu,Rui Zhao,Dairong Qiao and Yi Cao.Analysis of protein interaction network and function of Staphylococcus aureus[J].Acta Microbiologica Sinica,2009,49(1):56-63.
Authors:Qi Liu  Chunlei Jiang  Zhengchao Xu  Hui Xu  Rui Zhao  Dairong Qiao and Yi Cao
Institution:College of Life Science, Sichuan University, Sichuan Public Experiment Platform of Bioinformatics and Metabolic Engineering, Chengdu 610064, China;College of Life Science, Sichuan University, Sichuan Public Experiment Platform of Bioinformatics and Metabolic Engineering, Chengdu 610064, China;College of Life Science, Sichuan University, Sichuan Public Experiment Platform of Bioinformatics and Metabolic Engineering, Chengdu 610064, China;College of Life Science, Sichuan University, Sichuan Public Experiment Platform of Bioinformatics and Metabolic Engineering, Chengdu 610064, China;College of Life Science, Sichuan University, Sichuan Public Experiment Platform of Bioinformatics and Metabolic Engineering, Chengdu 610064, China;College of Life Science, Sichuan University, Sichuan Public Experiment Platform of Bioinformatics and Metabolic Engineering, Chengdu 610064, China;College of Life Science, Sichuan University, Sichuan Public Experiment Platform of Bioinformatics and Metabolic Engineering, Chengdu 610064, China
Abstract:Objective] Staphylococcus aureus is a member of Gram positive bacteria, but is also one of common pathogens that are most difficult to deal with. It infects human skin, soft tissue, mucous membrane, bone and joint, especially in the nosocomial environment. Because studies on Staphylococcus aureus before were largely based on a single gene or protein, it is necessary to study this organism from the whole genome. Methods] We used bioinformatics methods including five computational methods (phylogenetic profile, gene neighbor method, operon method, gene fusion method, interolog) to predict the protein interaction network of Staphylococcus aureus. Results] We constructed the protein interaction network of Staphylococcus aureus and studied its function. Conclusion] Through the network analysis, we found that the protein interaction network of Staphylococcus aureus was subject to scale-free property and a number of very important proteins, such as SA0939, SA0868, rplD. Through the analysis of the important cell wall synthesis and signal transduction and regulation local networks, we also found some very important proteins. Such information will help us better understand pathogenic mechanism and develop new drug targets of Staphylococcus aureus.
Keywords:Staphylococcus aureus  protein interaction  phylogenetic profile  gene fusion method  interolog
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