摘要/Abstract
摘要： 目的·分析人类miR-223-3p（hsa-miR-223-3p）的靶基因及其参与的生物学过程，并寻找与糖尿病相关的生物标志物。方法·利用starBase数据库筛选hsa-miR-223-3p靶基因，并对其行基因本体数据库（Gene Ontology，GO）富集分析、京都基因与基因组百科全书（Kyoto Encyclopedia of Genes and Genome，KEGG）和Reactome通路分析。通过构建蛋白-蛋白相互作用（protein-protein interaction，PPI）网络获得中枢基因，筛选最有意义的模块，并利用Venn图对糖尿病相关的中枢基因进行分析。结果·共筛选出870个hsa-miR-223-3p靶基因。GO、KEGG和Reactome富集分析显示，靶基因主要与RNA聚合酶Ⅱ启动子的调节、细胞对胰岛素刺激的反应、RNA结合等相关，且主要富集于胰岛素分泌、泛素介导的蛋白水解、雌激素依赖型基因表达等通路。PPI网络共得31个中枢基因，且中枢基因PRKACB参与胰岛素分泌通路；共筛选出3个最有意义的基因模块，其中模块1参与泛素介导的蛋白水解作用，模块2参与RNA转运和细胞周期，模块3参与内吞作用。结论·Hsa-miR-223-3p可能通过靶基因参与多种生物学过程，中枢基因PRKACB或可为糖尿病发生机制的探索提供帮助。
关键词: 糖尿病, hsa-miR-223-3p, 生物信息学, 模块化, 基因
Abstract:
Objective · To analyze target genes of human miR-223-3p (hsa-miR-223-3p) and their biological processes, and explore biomarkers related to diabetes mellitus (DM). Methods · starBase database was used to screen hsa-miR-223-3p target genes, and Gene Ontology (GO) enrichment analysis, Kyoto Encyclopedia of Genes and Genome (KEGG) and Reactome pathway analysis were performed. Hub genes were obtained by constructing protein-protein interaction (PPI) network, and the most significant modules were screened out. The hub genes related to DM were analyzed by Venn diagram. Results · A total of 870 hsa-miR-223-3p target genes were screened out. The GO enrichment analysis, KEGG and Reactome pathway analysis showed that the target genes were mainly related to the regulation of RNA polymerase Ⅱ promoter, cell response to insulin stimulation, RNA binding, etc, and were mainly enriched in insulin secretion, ubiquitin-mediated proteolysis and estrogen-dependent gene expression. There were 31 hub genes in PPI network, and hub gene PRKACB participated in insulin secretion pathway. Top 3 modules were identified as follows: module 1 was involved in ubiquitin-mediated proteolysis, module 2 was involved in RNA transport and cell cycle, and module 3 was involved in endocytosis. Conclusion · Hsa-miR-223-3p may participate in a variety of biological processes through target genes, and the hub gene PRKACB may provide assistance for exploring the pathogenesis of DM.
Key words: diabetes mellitus (DM), hsa-miR-223-3p, bioinformatics, module, gene
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