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基于KEGG通路和蛋白相互作用网络筛选舒张性心力衰竭关键靶点基因

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摘要:

目的 运用KEGG通路和蛋白相互作用网络筛选舒张性心力衰竭的靶点基因。方法 以“Heart failure with preserved ejection fraction”为关键词在Genecard数据库中检索舒张性心力衰竭的靶点基因,并运用R语言相关数据包进行KEGG通路分析,获取舒张性心力衰竭的关键通路及关键基因,于STRING网站上传基因,建立关键基因的蛋白质相互作用网络,筛选出舒张性心力衰竭的核心靶点基因。结果 检索到526个舒张性心力衰竭的基因,通过KEGG富集分析,得到425个基因富集于160条信号通路,主要有PI3K-Akt信号通路,JAK-STAT 信号通路等,通过蛋白互作网络得到核心基因有VEGFA、AKT、IL-6等。结论 本研究通过KEGG和蛋白质互作网络具体分析了舒张性心力衰竭的关键信号通路及核心基因,为进一步基础实验提供参考。

Abstract:

Objective Use KEGG pathway and protein interaction network to screen the target genes of diastolic heart failure. Methods Using "Heart failure with preserved ejection fraction" as the key word, the Genecard database was searched for the disease target genes of diastolic heart failure, and the R language related data package was used to analyze the KEGG pathway to obtain the key pathways of diastolic heart failure and Key genes, upload genes on the STRING website, establish a protein interaction network of key genes, and screen out the core target genes of diastolic heart failure. Results A total of 526 diastolic heart failure genes were retrieved. Through KEGG enrichment analysis, 425 genes were enriched in 160 signaling pathways, mainly including PI3KAkt signaling pathway, JAK-STAT signaling pathway, etc., through protein interaction The core genes obtained from the network are VEGFA, AKT, IL6 and so on. Conclusion This study analyzed the critical signal pathways and core genes of diastolic heart failure through KEGG and protein interaction networks to provide a reference for further drug target research and basic experiments.

基金项目:

国家科技部重点研发计划(2017YFC1700206)

参考文献:

  • 2008

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