重症哮喘患者支气管内膜差异表达基因的生物信息学  

Bioinformatics of differentially expressed genes in endobronchial membrane of patients with severe asthma

作　　者：高雅宁 李健[1] 陈亮[1] 温正军[1] GAO Ya-ning;LI Jian;CHEN Liang;WEN Zheng-jun(Respiratory and Critical Care Medicine Department,Beijing Jingmei Group General Hospital,Beijing 102300,China)

机构地区：[1]北京京煤集团总医院呼吸与危重症医学科,北京102300

出　　处：《中华临床免疫和变态反应杂志》2023年第1期27-33,共7页Chinese Journal of Allergy & Clinical Immunology

摘　　要：目的通过生物信息学技术分析重症哮喘患者支气管内膜差异表达基因(DEGs)及其在重症哮喘发病中的可能作用。方法从基因芯片公共数据库(GEO)下载重症哮喘患者支气管内膜研究芯片和测序数据,应用R和Rstudio软件中的limma包获得差异表达基因。应用加权基因共表达网络分析(WGCNA)探索基因之间的相互作用,并通过基因本体(gene ontology,GO)富集分析和京都基因与基因组百科全书(KEGG)富集分析,蛋白质互作(PPI)及关键基因分析,预测差异基因可能参与的分子生物学过程。结果通过芯片分析,共获得247个DEGs,其中127个上调基因,120个下调基因,主要参与的生物学过程包括“细胞迁移的调节”、“神经元的延伸”、“蛋白质泛素化降解”、“负趋化性”和“巨噬细胞自噬调节”。PPI分析发现关键基因为:RHOA、YWHAQ、PP1CC、ATP6V1A、CALM2、PSMA5、RPS3A、PSMC5、MRPL13、SEC61B。结论关键基因(RHOA、YWHAQ、PP1CC、ATP6V1A、CALM2、PSMA5、RPS3A、PSMC5、MRPL13、SEC61B)可能在重症哮喘发生发展过程中发挥了关键作用。Objective to analyze the differentially expressed genes(DEGs)in endobronchial membrane of patients with severe asthma and explore their possible role in pathogenesis of severe asthma by using bioinformatics techniques.Methods Microarray and sequencing data of endobronchial studies among severe asthmatic patients were downloaded from Gene expression omnibus(GEO).Differentially expressed genes were obtained by using limma package in R and Rstudio software.Weighted Gene Co-expression Network Analysis(WGCNA)was used to explore gene interactions,while enrichment analysis by gene ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG),protein-protein interaction(PPI)network and Hub gene analysis was used to predict molecular biological processes in which DEGs may be involved.Results A total of 247 DEGs were obtained,basing on results of microarray analysis,which included 127 up-regulated genes and 120 down-regulated genes.These DEGs mainly involved in biological processes,including regulation of cell migration,neuronal extension,protein ubiquitination degradation,negative chemotaxis,and macrophage autophagy regulation.RHOA,YWHAQ,PP1CC,ATP6V1A,CALM2,PSMA5,RPS3A,PSMC5,MRPL13,and SEC61B were identified as Hub genes by using PPI analysis.Conclusions The Hub genes(RHOA、YWHAQ、PP1CC、ATP6V1A、CALM2、PSMA5、RPS3A、PSMC5、MRPL13、SEC61B)may play a key role in development of severe asthma.

关 键 词：重症哮喘 支气管内膜 差异表达基因 富集分析 权基因共表达网络分析 

分 类 号：R562.25[医药卫生—呼吸系统]