基于生物信息学方法预测与多囊卵巢综合征相关的miRNA  

Bioinformatics-based approach to predict and analyze miRNAs associated with polycystic ovary syndrome

作　　者：魏林珍[1] 张倩倩 丁瑶瑶 马晓梅[1] 周美英[1] 秦天生[1] WEI Lin-zhen;ZHANG Qian-qian;DING Yao-yao(Department of gynecology,The People′s Hospital of Gansu Province,Lanzhou 730000,China;The First Clinical Medicine College of Gansu University of Chinese Medicine,Lanzhou 730000,China)

机构地区：[1]甘肃省人民医院妇科,甘肃兰州730000 [2]甘肃中医药大学第一临床医学院,甘肃兰州730000

出　　处：《吉林医学》2023年第9期2385-2390,共6页Jilin Medical Journal

基　　金：甘肃省青年科技基金项目[项目编号:21JR1RA006];甘肃省自然科学基金项目[项目编号:21JR1RA012];甘肃省人民医院科技创新平台基金项目[项目编号:21GSSYC-10]。

摘　　要：目的:基于生物信息学方法构建多囊卵巢综合征(PCOS)表达的miRNA及miRNA靶基因的调控网络。方法:从GEO数据库的GPL16543平台下载miRNA基因芯片数据集GSE72274,用GEO2R筛选差异表达的miRNA,应用在线数据库miRWalk分析预测miRNA差异表达的靶基因。对靶基因进行GO富集分析和KEGG信号通路富集分析。应用Cytoscape软件绘制miRNA及其相关靶基因调控图。通过STRING网站对靶基因进行PPI网络构建,并使用CytoHubba插件进行Hub基因分析。结果:共筛选出差异miRNA一共38个,其中32个上调,6个下调。预测差异miRNA的靶基因得到393个,GO分析发现差异的靶基因主要参与RNA聚合酶Ⅱ启动子对转录的调节、RNA聚合酶Ⅱ启动子对转录的正调节、蛋白结合、金属离子结合、D等生物学过程。KEEG分析表明其主要参与TGF-β信号通路和Hedgehog信号通路。成功构建miRNA相关靶基因调控网络,调控网络中的miRNA包括:hsa-miR-135b-5p、hsa-miR-199a-3p、hsa-miR-32-5p。通过CytoHubba插件得到10个关键基因分别为ESR1、SMAD2、SP1、KIT、ETS1、MEF2C、DICER1、FMR1、RPS6KB1、NCOR2。结论:基于生物信息学已构PCOS miRNA和其靶基因调控网,了解PCOS相关的miRNA及其靶基因,有助于明确PCOS的发生发展机制,为临床提供新的诊治思路。Objective A bioinformatics-based approach was used to construct a regulatory network of miRNAs and miRNA target genes in polycystic ovary syndrome(PCOS)which could provide a biological basis for the diagnosis and treatment of PCOS.Method The miRNA gene microarray dataset GSE72274 was downloaded from the GPL16543 platform of the GEO database,then the differentially expressed miRNAs were screened using GEO2R,and the online databasemiRWalk was predicted to target genes for the differential expression of miRNAs.GO enrichment analysis and KEGG pathway enrichment analysis were performed to identify target genes.The regulation of miRNAs and their associated target genes was mapped using Cytoscape software.The PPI networks for the target genes were constructed using the STRING website and the analysis of the hub genes was carried out using the CytoHubba plugin.Results In total,38 different miRNAs were analysed,of which 32 were up-regulated and 6 were down-regulated.393 predicted target genes for differential miRNA.GO revealed that the differential miRNAs were mainly involved in the regulation of transcription by RNA polymeraseⅡpromoter,positive regulation of transcription by RNA polymeraseⅡpromoter,protein binding,metal ion binding and D.KEEG analysis shows that it is mainly involved in the TGF-βsignalling pathway and the Hedgehog signalling pathway.The miRNA-related target gene regulatory network was successfully constructed,and the top P-value miRNAs in the regulatory network included:hsa-miR-135b-5p,hsa-miR-199a-3p,hsa-miR-32-5p.The ten key genes obtained through the CytoHubba plugin were ESR1,SMAD2,SP1,KIT,ETS1,MEF2C,DICER1,FMR1,RPS6KB1,and NCOR2,respectively.Conclusion Based on the bioinformatics,the regulatory network of miRNAs and their target genes in polycystic ovary syndrome have been constructed,and understanding the miRNAs and their target genes related to polycystic ovary syndrome can help to clarify the development mechanism of polycystic ovary syndrome and provide new ideas for clinical diagnosis and

关 键 词：多囊卵巢综合征 靶基因 调控网络 MIRNA 

分 类 号：R711.75[医药卫生—妇产科学]