摘要
目的筛选病毒性肝炎肝硬化发生发展中的关键基因,分析其相互之间的作用。方法本研究从公共基因芯片数据库(GEO)下载病毒性肝炎肝硬化相关芯片数据,利用R语言中相关软件筛选出表达差异基因,分别对差异基因进行Gene Ontology功能分析、KEGG代谢通路分析以及蛋白相互作用网络分析。结果本研究从GEO数据库中筛选出2组基因芯片进行分析,发现共同差异基因307个,其中上调基因62个、下调基因245个。富集分析表明差异基因在信号传导、免疫反应等方面与肝硬化的发生发展有关,通过粘着斑通路、细胞黏附分子通路有关影响其进程;并筛选得到HLA-DMA、MYL9、COL3A1、C1QA等28个与肝硬化发病关系密切的基因、构建了相应的蛋白相互作用网络。结论利用生物信息学方法能有效的分析基因芯片数据、筛选出目标基因,为病毒性肝炎肝硬化的防治、诊断和治疗等提供新的思路和相关靶点。
Objective To screen the key genes of viral hepatic cirrhosis during its initiation and development,and analyzed their interactions.Methods Viral hepatic cirrhosis related chip data were downloaded from the Gene Expression Omnibus(GEO).The differentially expressed genes(DEGs)were identified using R software.Gene Ontology function,KEGG pathway and protein interaction network analyses were performed for differentially expressed genes.Results Two GEO series were selected in this study.A total of 307 DEGs were found in both GEO series,including 62 up-regulated genes and 245 down-regulated genes.Enrichment analysis showed that the differential genes were related to the occurrence and development of liver cirrhosis in signal transduction and immune response,and the process was affected by adhesion pathway and cell adhesion molecule pathway.28 genes including HLA-DMA,MYL9,COL3A1,C1QA,et al.were identified,and protein-protein interaction network was constructed.Conclusions Bioinformatics could effectively analyze gene chip data and identify target genes,which could provide new ideas and related targets for the prevention,diagnosis and treatment of viral hepatic cirrhosis.
作者
张莉
翟蕙
陈家盛
徐葵花
刘传苗
ZHANG Li(Department of infectious disease,the first affiliated hospital of Bengbu Medical College,Bengbu,Anhui,233000,China)
出处
《齐齐哈尔医学院学报》
2019年第19期2387-2391,共5页
Journal of Qiqihar Medical University
基金
蚌埠医学院科技发展基金项目(BYKF1759)
蚌埠市级科技创新指导类项目(20160312)
关键词
病毒性肝炎
肝硬化
基因芯片
生物信息
Viral hepatitis
Liver cirrhosis
Microarray
Bioinformatics
