特发性肺纤维化相关的微阵列鉴定基因和microRNA分析

Microarray identification of genes and microRNA analysis related to idiopathic pulmonary fibrosis

目的通过特发性肺纤维化(idiopathic pulmonary fibrosis,IPF)的微小RNA(microRNA,miRNA)-mRNA相互作用网络识别微阵列鉴定基因和miRNA。方法使用从基因表达综合(gene expression omnibus,GEO)数据库(GSE27430和GSE135065)下载的IPF患者数据选择差异表达的miRNA和mRNA。使用转录因子富集分析选择miRNA,并使用miRDB、miRTarBase和TargetScan过滤miRNA的靶mRNA。使用Cytoscape软件可视化miRNA和mRNA之间的网络并计算Hub基因。使用GO和KEGG途径分析调节网络中的mRNA。结果共选择21个miRNA和119个mRNA,重建由3个miRNA和3个mRNA组成的miRNA-mRNA网络。hsa-miR-199a-5p、hsa-miR-299-5p、hsa-miR-338-3p、NTNG1、SCN2A、TM6SF1被确定为关键的调节因子。结论发现了IPF发病机制中涉及的几个重要的Hub基因和miRNA,其中hsa-miR-199a-5p/NTNG1和hsa-miRV299-5p/SCN2A途径可能在IPF中起重要作用,可以帮助识别病因,并提供潜在的治疗靶点。

Objective To identify genes and miRNAs by microRNA(miRNA)-mRNA interaction network in idiopathic pulmonary fibrosis(IPF).Methods The data of patients with IPF that were downloaded from the gene expression omnibus(GEO)database(GSE27430 and GSE135065)were used to select differentially expressed miRNAs and mRNAs.Transcription factor enrichment analysis was used to select miRNAs,and miRDB,miRTarBase and TargetScan were used to filter miRNA-targeting mRNAs.Cytoscape software was used to visualize the network between miRNA and mRNA and calculate the Hub gene.The GO and KEGG pathways were used to analyze mRNA in the regulatory network.Results A total of 21 miRNAs and 119 mRNAs were selected,and we reconstructed a miRNA-mRNA network composed of 3 miRNAs and 3 mRNAs.hsa-miR-199a-5p,hsa-miR-299-5p,hsa-miR-338-3p,NTNG1,SCN2A,and TM6SF1 were identified as key regulators.Conclusion This study has found several important Hub genes and miRNAs involved in the pathogenesis of IPF.Among them,the hsa-miR-199a-5p/NTNG1 and hsa-miR-299-5p/SCN2A pathways may be involved in the pathogenesis of IPF,which can help identify the cause and provide potential therapeutic targets.