生物信息学2024，Vol.22Issue(3)：174-182,9.DOI:10.12113/202302007
生信分析筛选心衰氧化应激相关关键基因并预测候选药物
Screening of hub genes related to oxidative stress in heart failure and candidate drugs prediction based on bioinformatics analysis
摘要
Abstract
To identify major genes and pathways involved in oxidative stress in heart failure by bioinformatics analysis.GSE120895 gene expression profiles are acquired from the GEO database.And GEO2R is used to identify differentially expressed genes.We intersect the differentially expressed genes with the oxidative stress-related genes screened in the GeneCard database to find the oxidative stress-related genes in heart failure.R software is used to conduct GO and KEGG analyses of differentially expressed genes.Module of PPI network and analysis of key genes using Cytoscape software.We employ GSE17800 gene expression profiles to confirm the expression of important genes.For important genes,medication interactions are predicted.We identify 52 differentially expressed genes that are up-regulated in response to oxidative stress.Five key genes(ACTB,STAT3,FN1,EDN1,and CAT)are selected as a result.These five genes are validated in the GSE17800 gene expression profile.19 candidate medicines that might target important genes are subsequently predicted.This study employ bioinformatics to explore for distinct genes that may be important to oxidative stress in heart failure,and help to better understand the pathophysiology of heart failure and generates new therapeutic options.关键词
生物信息学/心力衰竭/氧化应激/关键差异表达基因Key words
Bioinformatics analysis/Heart failure/Oxidative stress/Key differentially expressed genes分类
医药卫生引用本文复制引用
张楠,林铮,廖海含,唐其柱..生信分析筛选心衰氧化应激相关关键基因并预测候选药物[J].生物信息学,2024,22(3):174-182,9.基金项目
国家自然科学基金区域创新发展联合基金项目(No.U22A20269) （No.U22A20269）
国家重点研发计划项目(No.2018YFC1311300). （No.2018YFC1311300）
