摘要
目的:通过生物信息学方法分析Wfs1基因敲除小鼠肝脏的基因表达谱芯片,探讨WFS1基因突变的潜在致病机制。方法:从美国国立生物技术信息中心GEO数据库下载基因表达谱芯片数据(GSE55143),利用分析工具GEO2R进行差异表达基因筛选,通过在线富集分析网站进行差异表达基因的GO以及KEGG通路富集分析,并使用STRING数据库及Cytoscape软件构建蛋白质相互作用网络。结果:筛选出198个差异表达基因,其中有96个上调基因,102个下调基因。GO和KEGG富集分析表明差异表达基因主要富集于脂肪酸生物合成和初级胆汁酸生物合成这两条信号通路。蛋白质相互作用网络分析发现26个核心基因。结论:本研究筛选出的差异表达基因及相关富集分析可促进对WFS1基因突变致病机制的进一步理解。
Objective: To explore the potential pathogenesis of WFS1 gene mutation by bioinformatics analysis of hepatic gene expression profile in Wfs1 knockout mouse. Methods: GSE55143 were downloaded from Gene Expression Omnibus database. Differentially expressed genes were obtained using GEO2R. Gene Ontology( GO) and Kyoto Encyclopedia of Genes and Genomes( KEGG) enrichment analyses were performed for differentially expressed genes by online database. Protein-protein interaction network was established by STRING and visualized by Cytoscape. Results: A total of 198 differentially expressed genes were obtained,including 96 up-regulated genes and 102 down-regulated genes. GO and KEGG analyses showed that differentially expressed genes were significantly enriched in fatty acid biosynthesis and primary bile acid biosynthesis. Twenty-six hub genes were discovered in protein-protein interaction network. Conclusion: Differentially expressed genes and associated enrichment analyses may help to understand the pathogenesis of WFS1 mutation,thus providing potential targets for treatment.
作者
胡瑞玮
陈淑芹
白宁宁
张菁
高新雨
严寒
方启晨
HU Rui-wei;CHEN Shu-qin;BAI Ning-ning;ZHANG Jing;GAO Xin-yu;YAN Han;FANG Qi-chen(Shanghai Diabetes Institute,Shanghai Jiaotong University Affiliated Sixth People's Hospital,Shanghai 200233,China)
出处
《江苏大学学报(医学版)》
CAS
2019年第2期103-107,共5页
Journal of Jiangsu University:Medicine Edition
基金
上海市自然科学基金资助项目(15ZR1431700)
关键词
WFS1基因
生物信息学
差异表达基因
富集分析
WFS1 gene
bioinformatics
differentially expressed genes
functional enrichment analysis