中国免疫学杂志2025，Vol.41Issue(2)：287-294,8.DOI:10.3969/j.issn.1000-484X.2025.02.006
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
摘要
Abstract
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RNAKey words
Bronchial asthma/Endobronchial biopsy/Weighted gene co-expression network analysis/microRNA分类
临床医学引用本文复制引用
周未来,李俊,赵泰安,李莹,贺淼..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[J].中国免疫学杂志,2025,41(2):287-294,8.基金项目
辽宁省民生科技项目(2021JH2/10300043). （2021JH2/10300043）
