摘要
目的利用生物信息学分析方法筛选与玫瑰痤疮发生、发展有关的关键基因和信号转导通路。方法截至2021年7月12日,从基因表达综合数据库中按照关键词"rosacea"进行检索,最终获得GSE65914基因芯片集。利用GEO2R平台对该数据集进行分析,筛选出3种亚型玫瑰痤疮共同差异基因,并利用在线分析工具DAVID数据库完成基因本体论数据库富集分析及京都基因和基因组百科全书通路富集分析。运用String和Cytoscape软件构建差异基因的蛋白质-蛋白质相互作用网络,应用Mcode及Cytohubba插件筛选出参与玫瑰痤疮的最显著模块及关键基因。结果共筛选得到957个共同差异基因,包括533个上调基因及424个下调基因。基因本体论富集分析发现这些基因主要参与了免疫反应、炎症反应、细胞间信号转导、T细胞增殖的正调控、趋化因子介导的信号通路、细胞表面受体信号通路、对干扰素-γ的细胞反应等生物过程。通路富集分析主要包括了细胞因子-细胞因子受体相互作用、类风湿关节炎、趋化因子信号通路、PPAR信号通路、Toll样受体信号通路、核转录因子-κB信号通路、肿瘤坏死因子信号通路等信号通路。Cytohubba分析得到PTPRC、MMP9、CCR5、IL1B、TLR2、STAT1、CXCR4、CXCL10、CCL5和VCAM1共10个关键基因。结论筛选出的关键基因和相关通路可能在玫瑰痤疮发生、发展中起着关键调节作用。
Objective To screen the differentially expressed genes and pathways involved in rosacea using bioinformatics analysis.Methods The GSE65914 gene chipset was collected from the Gene Expression Omnibus(up to July 12 th,2021).It was searched according to the keyword“rosacea”.The data was analyzed by GEO2 R platform.The common differential genes of three subtypes of rosacea were screened out.The online DAVID analysis tool was used to perform the gene ontology(GO)enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis.Protein-protein interaction networks of differentially expressed genes were made by String and Cytoscape.The key modules and genes were screened by Mcode and Cytohubba.Results A total of 957 common differential genes were identified,including 533 up-regulated genes and 424 down-regulated genes.GO enrichment analysis showed that these genes were mainly involved in immune response,inflammatory response,intercellular signal transduction,positive regulation of T cell proliferation,chemokine signaling pathways,cell surface receptor signaling pathways,cellular response to interferon-γ,and other biological processes.KEGG pathway enrichment analysis mainly included cytokine-cytokine receptor interaction,rheumatoid arthritis,chemokine signaling pathway,PPAR signaling pathway,Toll-like receptor signaling pathway,nuclear transcription factor-κB signaling pathway,tumor necrosis factor signaling pathway and other signaling pathways.Cytohubba analysis revealed 10 key genes,including PTPRC,MMP9,CCR5,IL1 B,TLR2,STAT1,CXCR4,CXCL10,CCL5 and VCAM1.Conclusion The key genes and related pathways may play an important role in the pathogenesis of rosacea.
作者
何阳
杨宏昊
康雨朦
张紫嫣
刘舒鹏
徐洪
杨方
杨洁
HE Yang;YANG Honghao;KANG Yumeng;ZHANG Ziyan;LIU Shupeng;XU Hong;YANG Fang;YANG Jie(Department of Dermatology,North China University of Science and Technology Affiliated Hospital,Tangshan,Hebei 063000,P.R.China;School of Public Health,North China University of Science and Technology,Tangshan,Hebei 063000,P.R.China;School of Basic Medicine,North China University of Science and Technology,Tangshan,Hebei 063000,P.R.China)
出处
《华西医学》
CAS
2021年第9期1232-1238,共7页
West China Medical Journal
基金
国家自然科学基金(81972988)
河北省自然科学基金(H2020209052)
河北省高等学校科学技术研究项目重点课题(ZD2019077)。
