中国组织工程研究

中国组织工程研究 ›› 2011, Vol. 15 ›› Issue (33): 6090-6094.doi: 10.3969/j.issn.1673-8225.2011.33.003

• 骨组织构建 bone tissue construction • 上一篇    下一篇

骨质疏松症蛋白质相互作用网络的构建和分子复合物通路预测

张治国1，牛旭艳2，刘梅洁1，李  艳1，吕爱平2，鞠大宏1   

  1. 中国中医科学院，1中医基础理论研究所，2中医临床基础医学研究所，北京市  100700
  • 收稿日期:2011-02-04 修回日期:2011-03-25 出版日期:2011-08-13 发布日期:2011-08-13
  • 通讯作者: 鞠大宏，研究员，博士，博士后，中国中医科学院中医基础理论研究所,北京市 100700 judahong@sohu.com
  • 作者简介:张治国☆，男，1978年生，汉族，山西省太原市人，博士，博士后，助理研究员，主要从事中医药防治骨质疏松症的研究。 zzgtcm@163. com
  • 基金资助:

    国家自然科学基金(30973691)、中国博士后科学基金资助项目(20100470524)。

Construction of protein-protein interaction network of osteoporosis and prediction of pathways underlying molecular complexes

Zhang Zhi-guo1, Niu Xu-yan2, Liu Mei-jie1, Li Yan1, Lu Ai-ping2, Ju Da-hong1   

  1. 1Institute of Basic Theory on TCM, 2Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences (CACMS), Beijing  100700, China
  • Received:2011-02-04 Revised:2011-03-25 Online:2011-08-13 Published:2011-08-13
  • Contact: Ju Da-hong, Doctor, Researcher, Institute of Basic Theory on TCM, China Academy of Chinese Medical Sciences (CACMS), Beijing 100700, China judahong@sohu.com
  • About author:Zhang Zhi-guo☆, Doctor, Assistant researcher, Institute of Basic Theory on TCM, China Academy of Chinese Medical Sciences (CACMS), Beijing 100700, China Zzgtcm@163.com
  • Supported by:

    the National Natural Science Foundation of China, No. 30973691*; the China Postdoctoral Science Foundation, No. 20100470524*

PDF

695

被引次数

5

摘要：

背景：在蛋白质相互作用网络的基础上研究骨质疏松症，可以更深入全面了解其发生发展机制。
目的：建立基于骨质疏松症遗传相关基因的蛋白质相互作用网络，对其中所含分子复合物涉及的生物学通路进行预测。
方法：筛选在线人类孟德尔遗传数据库中的骨质疏松症遗传相关基因，应用Cytoscape软件和插件Agilent Literature Search，进行文本挖掘并建立骨质疏松症的蛋白质相互作用网络；应用插件Clusterviz，发现网络中的可能包含的分子复合物；基于DAVID，富集分子复合物的生物学通路。
结果与结论：人类孟德尔遗传数据库中骨质疏松遗传相关基因有177个。骨质疏松症的蛋白质相互作用网络包含863个节点(蛋白质)、2 925条边(相互作用关系)，可能包含4个分子复合物。其中分子复合物3涉及免疫细胞表面分子及其相互黏附、细胞因子与其受体的结合、造血和止血功能等生物学通路；分子复合物4与糖尿病的发生有一定关系。

关键词: 蛋白质相互作用网络, 骨质疏松症, 在线人类孟德尔遗传数据库, 分子复合物, 通路

Abstract:

BACKGROUND: Based on the protein-protein interaction network, the mechanism of osteoporosis can be understood more deeply and comprehensively.
OBJECTIVE: To develop a protein-protein interaction network of osteoporosis based on genetic genes and to predict pathways underlying the molecular complexes in the network.
METHODS: Genetic genes of osteoporosis were screened from OMIM database; literature mining for the genes was realized by Agilent Literature Search plugin, protein-protein interaction network of osteoporosis was established by Cytoscape, the molecular complexes in the network were detected by Clusterviz plugin and the pathways enrichment of molecular complexes were realized by DAVID online.
RESULTS AND CONCLUSION: The protein-protein interaction network of osteoporosis contained 863 nodes, 2 925 edges and 4 molecular complexes. Pathways underlying complexes 3 involved immunological cell surface molecular adhesion, cytokines-receptor binding, hematopiesis and hemostasis; complexes 4 had relation to diabetes mellitus.

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