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作 者:刘佳丽[1] 王维[2,3] 王子萌[2] 范芳梅 马毓蓉 余林[1] 何於娟[2] Liu Jiali;Wang Wei;Wang Zimeng;Fan Fangmei;Ma Yurong;Yu Lin;He Yujuan(Department of Otorhinolaryngology,The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016;College of Laboratory Medicine, Chongqing Medical University,Chongqing 400016,China;College The Sxith People’s Hospital of Chongqing City,Chongqing 400080,China)
机构地区:[1]重庆医科大学附属第一医院耳鼻咽喉科,重庆400016 [2]重庆医科大学检验医学院,临床检验诊断学教育部重点实验室,重庆400016 [3]重庆市第六人民医院,重庆400080
出 处:《中华耳科学杂志》2017年第1期94-98,共5页Chinese Journal of Otology
基 金:国家自然科学基金(csfc81373151);重庆市自然科学基金(cstc2012jj A10014);重庆市教委科学技术研究项目(科建设项目经费基金资助卫办医政函KJ130313);国家临床重点专[2012]649号~~
摘 要:目的利用基因表达数据库(GEO)查找小鼠中耳炎表达谱基因芯片原始数据,建立中耳炎基因互作网络图。方法从公共数据库GEO中下载小鼠中耳炎相关数据集,采用Affymetrix Expression Console软件和Tran-scriptome Analysis Console(TAC)软件筛选差异表达基因,将差异基因导入STRING在线数据库进行分析,绘制差异基因互作网络图,并将互作网络数据导入Cytoscape 3.4.0软件中,筛选网络中心节点,并取其中相对独立、作用较为集中且与炎症基因相关子网络,采用David在线工具对其进行功能注释富集分析。结果共筛选出1166个差异表达基因,其中表达上调793个,表达下调373个,经STRING在线工具筛选后共有459个小鼠中耳炎差异基因编码的蛋白存在相互作用,并得到相应蛋白互作网络,分析其中与炎症相关子网络。结论本研究利用生物信息学技术构建了中耳炎差异基因互作网络,其中的网络中心节点基因,对于中耳炎分子机制研究及靶向治疗具有指导作用。Objective Using bioinformatics methods to analyze gene expression microarray of otitis media in order to establish a protein interaction network.Methods The microarray data sets of otitis media from the mouse were downloaded from the public gene expression database Gene Expression Ombibus(GEO).The differentially expressed genes were screened by Affymetrix Expression Console software and Transcriptome Analysis Console(TAC)software.Thenthe differentially expressed genes were introduced into the STRING online database for analysis,and the interaction network was established.The interaction data was subsequently introduced into the Cytoscape3.4.0software,and the networkcenter nodes were screened,and those relatively independent sub-networks associated with the inflammation genes were selected.David online tools were used for functional annotation enrichment analysis of these sub-networks.Results A total of1166differentially expressed genes were screened out,including793up-regulated and373down-regulated.Screened by STRING,interactions of protein products from459differentially expressed genes were found,and the corresponding protein interaction network was obtained.Conclusion In this study,bioinformatics techniques were used to construct the interaction network of the differentially expressed genes for otitis media.The network,especially the center node gene could provide new clues of the molecular mechanism of otitis media,and guide the targeted therapy.
分 类 号:R764.21[医药卫生—耳鼻咽喉科]
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