多发性肌炎差异表达基因的生物信息学分析  

Bioinformatics analysis of differentially expressed genes in polymyositis

作　　者：杨乐 秦超[1] YANG Le;QIN Chao(Neurology Department,the First Affiliated Hospital of Guangxi Medical University,Nanning 530000,China)

机构地区：[1]广西医科大学第一附属医院神经内科,南宁530000

出　　处：《山东医药》2021年第25期32-35,共4页Shandong Medical Journal

摘　　要：目的利用生物信息学方法筛选多发性肌炎(PM)的差异表达基因(DEGs)。方法从GEO芯片数据库下载PM基因表达谱GSE128470,利用GEO2R在线分析工具筛选PM的DEGs,利用DAVID在线网站对DEGs进行功能注释(GO)富集分析和京都基因与基因组百科全书(KEGG)信号通路分析,应用STRING数据库预测DEGs的蛋白质—蛋白质相互作用网络,并利用Cytoscape3.8.2软件中插件MOCOD和CytoHubba分别筛选出核心模块和关键基因。结果在PM基因表达谱GSE128470中共获得366个DEGs,其中表达上调基因331个、表达下调基因35个。GO富集分析显示,DEGs主要功能涉及干扰素γ介导的信号通路、免疫反应、内质网膜腔侧的组成部分、细胞外空间、肽抗原结合、MHCⅡ类受体活性等;KEGG信号通路分析显示,DEGs主要参与抗原处理和呈递、吞噬体、同种异体移植排斥、细胞黏附分子、细胞因子与细胞因子受体的相互作用、Toll样受体信号通路。以蛋白质—蛋白质相互作用网络中前十位的DEGs作为关键基因,分别为PTPRC、STAT1、CD44、VCAM1、ICAM1、IRF8、IRF1、ITGB2、TYROBP、HLADRB1。结论本研究从PM患者肌肉组织中共筛选出366个DEGs,这些DEGs主要参与抗原处理和呈递、免疫反应、吞噬体、细胞黏附分子等信号通路。其中,PTPRC、STAT1、CD44、VCAM1、ICAM1、IRF8、IRF1、ITGB2、TYROBP、HLADRB1为PM的关键基因。这些关键基因有可能成为PM早期诊断、靶向治疗和预后评估的分子标志物。Objective To screen out the differentially expressed genes(DEGs)of polymyositis(PM)by using bioin⁃formatics method.Methods PM gene expression profile GSE128470 was downloaded from GEO database.We screened the DEGs of PM by using GEO2R online analysis tool.DAVID online website was used to perform Gene Ontology(GO)en⁃richment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)signal pathway analysis of DEGs.The STRING database was used to predict the protein-protein interaction network of DEGs,and the plug-ins MOCOD and CytoHubba in the Cytoscape 3.8.2 software were used to screen out the core modules and hub genes.Results A total of 366 DEGs were obtained from PM gene expression profile GSE128470,of which,331 were up-regulated and 35 were down-regulat⁃ed.GO enrichment analysis showed that the main functions of DEGs involved interferonγ-mediated signaling pathways,immune responses,components on the lumen side of the endoplasmic reticulum,extracellular space,peptide antigen bind⁃ing,MHC classⅡreceptor activity,etc.KEGG signal pathway analysis showed that the main functions of DEGs involved antigen processing and presentation,phagosomes,allograft rejection,cell adhesion molecules,interactions between cyto⁃kines and cytokine receptors,and Toll-like receptor signaling pathways.The top ten DEGs in the protein-protein interac⁃tion network were used as key genes,including PTPRC,STAT1,CD44,VCAM1,ICAM1,IRF8,IRF1,ITGB2,TY⁃ROBP,and HLA-DRB1.Conclusions In this study,366 DEGs are screened out from the muscle tissues of PM pa⁃tients.These DEGs are mainly involved in antigen processing and presentation,immune response,phagosome,cell adhe⁃sion molecules and other signal pathways.PTPRC,STAT1,CD44,VCAM1,ICAM1,IRF8,IRF1,ITGB2,TYROBP and HLA-DRB1 are the hub genes of PM.These key genes may become molecular markers for early diagnosis,targeted therapy and prognosis evaluation of PM.

关 键 词：多发性肌炎 差异表达基因 关键基因 生物信息学方法 

分 类 号：R746.9[医药卫生—神经病学与精神病学]