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作 者:蔡鑫 唐芳 马武开 兰维娅 蒋总 樊梅 金泽旭 CAI Xin;TANG Fang;MA Wu-kai;LAN Wei-ya;JIANG Zong;FAN Mei;JIN Ze-xu
机构地区:[1]贵州中医药大学,贵州贵阳550025 [2]贵州中医药大学第二附属医院,贵州贵阳550003
出 处:《风湿病与关节炎》2020年第9期13-16,21,共5页Rheumatism and Arthritis
基 金:国家自然科学基金面上项目(81973835);贵州省高层次创新型人才培养计划——“百”层次人才项目(黔科合平台人才〔2016〕5650);国家重点研发计划中医药现代化研究重点专项(2017YFC1703904)。
摘 要:目的:应用生物信息学方法研究干燥综合征的差异基因,为干燥综合征的治疗提供新靶点。方法:在GEO数据库中下载并筛选干燥综合征相关的差异表达基因,利用STRING在线数据库构建蛋白与蛋白相互作用关系网络,运用Cytoscape软件筛选出关键基因,通过DAVID数据平台对差异基因进行基因本体论(GO)和京都基因与基因组百科全书(KEGG)富集分析。结果:通过分析基因芯片GSE127952后获得406个差异基因,筛选出STAT1、MX1、IFIT1、IFIT3、ISG15等10个关键基因;GO分析显示差异基因主要富集在正向调节细胞因子产生、淋巴细胞分化、T细胞活化等生物学过程;KEGG分析主要涉及细胞因子与细胞因子受体的相互作用、趋化因子信号通路、Toll样受体信号通路、T细胞受体信号通路等。结论:上述所得的关键基因和信号通路可能与干燥综合征的疾病过程相关,为深入研究靶向治疗干燥综合征提供了理论参考。Objective:To study the differential genes of Sj?gren’s syndrome by bioinformatics,and to provide a new target for the treatment of Sj?gren’s syndrome.Methods:The deferentially expressed genes related to Sj?gren’s syndrome were downloaded and screened from the GEO database.The protein-protein interaction network was constructed by STRING online database.The key genes were screened out using the software of Cytoscape.The enrichment analyses of GO and KEGG for differential genes were carried out using DAVID data platform.Results:Four hundred and six deferentially expressed genes were obtained by analyzing gene chip GSE127952,and 10 key genesincluding STAT1,MX1,IFIT1,IFIT3 and ISG15 were screened out.Go analysis showed that the differential genes were mainly concentrated in biological processes such as positively regulating cytokine production,lymphocyte differentiation and T cell activation.KEGG analysis mainly involved the interaction between cytokines and cytokine receptors,chemotactic factor signaling pathway,Toll-like receptor signaling pathway,T cell receptor signaling pathway,etc.Conclusion:Above key genes and signal pathways may be related to the disease process of Sj?gren’s syndrome,which provides a theoretical reference for further research on the targeted treatment of it.
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