基于GEO数据库芯片筛选支气管哮喘的关键基因及生物信息学分析  

Screening and bioinformatics analysis of hub genes of bronchial asthma based on GEO database chip

作　　者：周未来 李俊 赵泰安 李莹[1] 贺淼[1] ZHOU Weilai;LI Jun;ZHAO Taian;LI Ying;HE Miao(School of Public Health,China Medical University,Shenyang 110122,China)

机构地区：[1]中国医科大学公共卫生学院,沈阳110122

出　　处：《中国免疫学杂志》2025年第2期287-294,共8页Chinese Journal of Immunology

基　　金：辽宁省民生科技项目(2021JH2/10300043)。

摘　　要：目的:利用生物信息学方法寻找与哮喘发病相关的关键基因并讨论其分子机制。方法:对GSE143303芯片数据进行加权基因共表达网络分析(WGCNA),筛选出与哮喘发病显著相关的模块,并对模块基因进行蛋白质相互作用(PPI)网络分析、功能及通路富集分析。将WGCNA分析结果与差异表达基因取交集得到关键基因,使用miRDB、miRwalk数据库预测关键基因的上游miRNAs,并利用Cytoscape构建关键mRNA-miRNA调控网络。利用GSE147878数据集对关键基因表达量进行验证,依据ROC曲线评估关键基因的诊断价值。结果:magenta模块和purple模块基因与哮喘显著相关,主要涉及Wnt信号通路、细胞黏附等。共得到13个关键基因,包括ATP6V1G1、TXNDC17、NDUFA4、RHOA、SEC61B、RPS3A、PSMC5、GSPT1、MBP、SMARCC2、GNL3L、RPL7L1、RAD21及其潜在的miRNA-mRNA调控网络。结论:ATP6V1G1、GSPT1、SEC61B等关键基因在支气管哮喘中起重要作用,并具有一定的临床诊断价值。Objective:Using bioinformatics methods to find key genes related to asthma and discussing their molecular mecha‐nisms.Methods:Weighted gene co-expression network analysis(WGCNA)was performed on GSE143303 microarray dataset to screen out the modules significantly related to asthma.Module genes were subjected to protein-protein interaction(PPI)network analysis and function and pathway enrichment analysis.Key genes were obtained by intersecting WGCNA analysis results with differentially expressed genes.miRDB and miRwalk databases were used to predict upstream miRNAs of key genes,and Cytoscape was used to construct key mRNA-miRNA regulatory network.GSE147878 dataset was used to verify expressions of key genes,and evaluate diag‐nostic value of key genes according to ROC curve.Results:Genes in magenta module and purple module were significantly related to asthma,mainly involved in Wnt signaling pathway,cell adhesion and so on.A total of 13 key genes were obtained,including ATP6V1G1,TXNDC17,NDUFA4,RHOA,SEC61B,RPS3A,PSMC5,GSPT1,MBP,SMARCC2,GNL3L,RPL7L1,RAD21 and their potential miRNA-mRNA regulatory networks.Conclusion:Key genes such as ATP6V1G1,GSPT1,SEC61B play an important role in bronchial asthma and have clinical diagnostic value.

关 键 词：支气管哮喘 支气管镜管腔内活检 加权基因共表达网络分析 微小RNA 

分 类 号：R562.25[医药卫生—呼吸系统]