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作 者:张梦娜 王海洲 刘静[1] ZHANG Mengna;WANG Haizhou;LIU Jing(Dept.of Gastroenterology,Zhongnan Hospital of Wuhan University,&Hubei Clinical Center and Key Intestinal and Colorectal Diseases,Wuhan 430071,Hubei,China)
机构地区:[1]武汉大学中南医院消化内科/湖北省肠病临床研究中心/肠病湖北省重点实验室,湖北武汉430071
出 处:《武汉大学学报(医学版)》2022年第1期70-75,共6页Medical Journal of Wuhan University
基 金:国家自然科学基金面上项目(编号:81472735,8207104564)。
摘 要:目的:采用生物信息学方法对肝癌和2型糖尿病的共同差异表达基因进行分析,以揭示肝癌与2型糖尿病之间的潜在病理生理联系。方法:从公共数据库(GEO)下载肝癌与2型糖尿病的基因表达阵列数据,通过R软件对数据进行预处理,获得重叠差异表达基因,进一步利用DAVID和STRING数据库对这些差异基因进行基因富集分析并构建蛋白互作网络。使用在线数据库GEPIA进行生存分析。结果:通过差异基因筛选,我们获得328个重叠差异基因,包括176个共同差异基因以及152个独立差异基因。共同差异基因包括78个上调基因,98个下调基因,独立差异基因包含在糖尿病中下调的82个基因以及在肝癌中下调的70个基因。通过基因富集分析发现,共同差异基因主要富集在DNA损伤以及免疫调控、细胞凋亡等功能,独立差异基因的功能主要富集在有机氮化合物代谢,最后通过以共同差异基因为目标构建蛋白互作网络,获得核心节点蛋白。对核心节点蛋白进行生存分析,得到6个生存相关核心基因。结论:本研究通过生物信息学方法筛选同时与肝癌和2型糖尿病相关的8个核心基因,为研究糖尿病相关肝癌提供靶点参考。Objective:To analyze the differentially expressed genes(DEGs)of hepatocellular carcinoma(HCC)and type 2 diabetes by bioinformatics methods,in order to reveal the potential pathophysiological relationship.Methods:The gene expression array data of HCC and type 2 diabetes were downloaded from Gene Expression Omnibus(GEO),and the data were pre-processed by R software to obtain overlapping DEGs.DAVID database was used to do enrichment analysis and a protein-protein interaction(PPI)network was further constructed via STRING database.Survival analysis was performed using the online GEPIA database and clinical characteristics analysis was performed using the UALCAN database.Results:After DEGs screening,328 overlapping differential genes(176 common differential genes and 152 independent differential genes)were obtained.Common differential genes included 78 up-regulated genes and 98 down-regulated genes.The independent differential genes included 82 genes down-regulated in diabetes and 70 genes down-regulated in HCC.After function enrichment analysis,it was found that the common differential genes were mainly enriched in DNA damage and immune regulation,apoptosis,and other functions.The functions of independent differential genes were mainly enriched in organonitrogen compound catabolic process.Finally,eight hub genes were obtained through a PPI network.Six core genes related to survival were obtained through survival analysis of core nodule proteins,and the results of clinical characteristics analysis showed that their expression changes were related to histological subtypes,lymph node metastasis,clinical grade and stage of liver cancer.Conclusion:In this study,we screened the eight hub genes associated with HCC and type 2 diabetes by bioinformatics methods,followed by survival analysis and clinical characteristics analysis,and they might play important roles in the progression of diabetes related-hepatocellular carcinoma.
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