以LPAR3为中心的2型糖尿病相关基因功能富集及蛋白互作分析  

Gene Function Enrichment and Protein Interaction Analysis of LPAR3 and Its Related Genes in Type 2 Diabetes

作　　者：莫之婧[1] 马义丽[1] 李康智[1] 刘永明[1] 

机构地区：[1]桂林医学院,生物化学与分子生物学教研室,桂林541100

出　　处：《基因组学与应用生物学》2016年第11期2890-2896,共7页Genomics and Applied Biology

基　　金：广西壮族自治区教育厅科学技术研究项目(YB2014269)资助

摘　　要：本研究目的是查找与2型糖尿病相关的潜在基因及其参与的生物过程、信号通路和蛋白互作网络。利用GEO数据库中GSE20966数据集,采用GENE-E平台,筛选出与LPAR3共表达的基因,结合生物信息学工具GOC、DAVID、COREMINE、Gene Mania对共表达基因进行基因功能富集分析、文本挖掘及蛋白互作分析。我们筛选出LPAR3在2型糖尿病患者胰腺β细胞中表达值显著低于正常对照组,其共表达基因603个,主要涉及代谢过程、信号调控等生物过程和Hippo信号通路。共表达相关系数高的8个基因与2型糖尿病相关,且均与肿瘤相关,涉及代谢过程、信号转导、发病机理、细胞增殖、细胞粘附等生物过程。LPAR3与20个已报道的2型糖尿病基因存在互作关系。本研究发现LPAR3及其共表达基因可能与2型糖尿病相关,并可能增加患者罹患各系统肿瘤的风险。The aim of this study was to search for type 2 diabetes related genes, biological process, signaling pathways, and protein interaction networks. The research used the gene expression profile data GSE20966 of the GEO database to screen genes which were co-expressed with LPAR3 by using the GENE-E platform and analyzed the gene function enrichment, text mining and protein-protein interaction network using the bioinformatics tools GOC, DAVID, COREMINE and GeneMania. The expression level of LPAR3 in pancreatic beta-cells from type 2 diabetes group was significantly lower than that in control group, and a total of 603 genes were significantly co-expressed with LAPR3. These genes mainly involved in biological pathways such as metabolic process, regulation of signaling, Hippo signaling pathway, etc. 8 genes with high pearson correlation were related to type 2 diabetes mellitus and tumor. The relevant genes involved in the metabolic process, signal transduction, pathogenesis, cell proliferation, cell adhesion and other biological process. Bioinformatics method predicted the interactions between LPAR3 and 20 genes which had been previously reported to be associated with type 2 diabetes. LPAR3 and co-expression genes may be associated with type 2 diabetes, and may increase the risk of cancer in type 2 diabetic patients.

关 键 词：LPAR3 2型糖尿病 生物信息学 数据库 

分 类 号：R587.1[医药卫生—内分泌]