基于生物信息学分析筛选骨关节炎差异表达基因
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  • 英文篇名:Bioinformatics-based screening of differentially expressed genes in osteoarthritis
  • 作者:何熠 ; 熊海风 ; 李毅成 ; 方德鹏 ; 余雪 ; 杨渊
  • 英文作者:HE Yi;XIONG Hai-feng;LI Yi-cheng;FANG De-peng;YU Xue;YANG Yuan;Langdong Hospital of Guangxi Medical University;Department of Traumatic Orthopedics,Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine;Department of Hyperbaric Oxygen Therapy,the People′s Hospital of Guilin;
  • 关键词:骨关节炎 ; 差异表达基因 ; 生物信息学 ; 基因本体富集分析 ; 京都基因与基因组百科全书数据库通路分析 ; 蛋白质-蛋白质互相作用网络
  • 英文关键词:Osteoarthritis;;Differentially expressed gene;;Bioinformatics;;Gene Ontology enrichment analysis;;Kyoto Encyclopedia of Genes and Genomes pathway analysis;;Protein-protein interaction network
  • 中文刊名:广西医学
  • 英文刊名:Guangxi Medical Journal
  • 机构:广西医科大学附属埌东医院;广西中医药大学附属瑞康医院创伤骨科;广西桂林市人民医院高压氧科;
  • 出版日期:2019-09-30
  • 出版单位:广西医学
  • 年:2019
  • 期:18
  • 基金:广西科学研究与技术开发计划(桂科攻1598012-6);; 广西医药卫生科研课题(Z20180803)
  • 语种:中文;
  • 页:51-55
  • 页数:5
  • CN:45-1122/R
  • ISSN:0253-4304
  • 分类号:R684.3;Q811.4
摘要
目的基于生物信息学分析筛选骨关节炎相关的差异表达基因(DEGs),并分析其生物学功能。方法从GEO数据库下载微阵列数据集GSE1919,其包括5个骨关节炎样品和5个匹配的对照样品。利用R语言的Limma工具包进行数据分析,筛选DEGs。利用DAVID数据库对DEGs进行基因本体富集分析,利用京都基因与基因组百科全书数据库对上调DEGs进行信号通路分析。基于STRING数据库的信息识别蛋白质-蛋白质互相作用(PPI),使用Cytoscape软件3.4.0进行PPI网络构建。结果共获得1 145个DEGs,包括483个上调的DEGs和662个下调的DEGs。上调的DEGs主要涉及受体活性、细胞黏附分子活性,主要集中于细胞外组分、细胞膜、细胞外间隙等,主要与细胞通信、信号转导有关。上调的DEGs显著富集于肿瘤坏死因子、细胞黏附分子、丝裂原活化蛋白激酶、黏着斑、细胞因子受体相互作用以及磷脂酰肌醇-3-羟激酶-蛋白激酶B等信号通路。白细胞介素(IL)-6、IL-8、胰岛素样生长因子(IGF)和血管紧张素原(AGT)等基因为PPI网络的核心基因。结论 IL-6、IL-8、IGF和AGT基因可能是参与骨关节炎发展的重要基因。
        Objective To screen the differentially expressed genes(DEGs) related to osteoarthritis,and to analyze the biological function of the DEGs.Methods The microarray dataset GSE1919 was downloaded from the GEO database,including 5 samples of osteoarthritis and 5 matched controlled samples.Data analysis was conducted using Limma package of R Language for screening DEGs.DAVID database was used for Gene Ontology enrichment analysis,and Kyoto Encyclopedia of Genes and Genomes database for signaling pathway analysis of up-regulated DEGs.The protein-protein interaction(PPI) was distinguished according to the information of STRING database,the PPI network was established using Cytoscape software 3.4.0.Results A total of 1145 DEGs were obtained,including 483 up-regulated and 662 down-regulated DEGs.The up-regulated DEGs were mainly involved in receptor activity and cell adhesion molecule activity,commonly existed in extracellular component,cell membrane and extracellular space,and were related to intercellular communication and signal transduction mostly.The up-regulated DEGs were significantly enriched in the signaling pathways of tumor necrosis factor,cell adhesion molecule,mitogen-activated protein kinases,focal adhesion,interaction between cytokine receptors,phosphatidylinositol-3-kinase-protein kinase B,and ect.Interleukin(IL)-6,IL-8,insulin-like growth factor(IGF) and angiotensinogen(AGT) genes were the core genes of PPI network.Conclusion IL-6,IL-8,IGF and AGT genes may be the important genes involved in the development of osteoarthritis.
引文
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