骨质疏松症遗传相关基因的生物信息学研究  

Bioinformatic study osteoporosis-related genetic genes

作　　者：张治国[1] 牛旭艳[2] 刘梅洁[1] 李艳[1] 吕爱平[2] 鞠大宏[1] 

机构地区：[1]中国中医科学院中医基础理论研究所,北京100700 [2]中国中医科学院中医临床基础医学研究所

出　　处：《中国骨质疏松杂志》2011年第4期279-290,共12页Chinese Journal of Osteoporosis

基　　金：国家自然科学基金(30973691);中国博士后科学基金(20100470524)

摘　　要：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,发现其中其中包含的分子复合物和未经研究或研究较少的与骨质疏松症相关的蛋白质。方法基于OMIM数据库中与骨质疏松症发生相关的177个遗传基因,应用Cytoscape软件及其插件Agilent Literature Search,进行PUBMED文献的文本数据挖掘,建立骨质疏松症的蛋白质相互作用网络;应用MCOMD算法,探测网络中的分子复合物,并对分子复合物包含的蛋白质进行GO分析,分析包括分子功能、生物学通路、细胞组分。结果骨质疏松症的蛋白质相互作用网络包含863个节点(蛋白质)、2925条边(相互作用关系)、4个高度关联的分子复合物。这些分子复合物内的18个蛋白质与骨质疏松症的关系未经研究或研究较少。结论基于OMIM数据库,可建立骨质疏松症的蛋白质相互作用网络,发现未经研究或研究较少的骨质疏松症关联蛋白质。Objective To develop a protein-protein interaction network based on osteoporosis-related genetic genes and to find molecular complexes and unreported or least reported proteins concerned with osteoporosis. Methods Based on 177 genetic genes searched from OMIM database and text data mining from PUBMED, a protein-protein interaction network of osteoporosis was established using Cytosacpe and Agilent Literature Search software. Molecular complexes in network were detected using MCOMD algorithm. The combining proteins in the molecular complexes were analyzed using Gene Ontology （ GO ） tool. The analysis included molecule function, biological process, and cellular component. Results The protein-protein interaction network had 863 nodes （proteins）, 2925 edges （interactions）, and 4 molecular complexes. The 18 proteins combining in the complexes concerned with osteoporosis were unstudied or less studied. Conclusion Based on OMIM database, protein-protein interaction network of osteoporosis could be established. Proteins-related to osteoporosis that were unreported or least reported could be found.

关 键 词：骨质疏松症 在线人类孟德尔遗传数据库 蛋白质相互作用网络 分子复合物 基因本体论 

分 类 号：R681[医药卫生—骨科学]