Identification of key genes and pathways associated with dilated cardiomyopathy development by bioinformatics analysis

Mingjun HE; Ling BAI; Qun LU; Chao CHU; Jie REN; Jianjun MU

白话标题:生物信息学方法分析筛选扩张型心肌病发生发展的关键基因和通路
作者: Mingjun HE ¹ ; Ling BAI ¹ ; Qun LU ¹ ; Chao CHU ¹ ; Jie REN ¹ ; Jianjun MU ¹
作者信息

1. Department of Cardiovascular Medicine, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an 710061, China
出版类型:Journal Article
关键字: dilated cardiomyopathy（DCM）; differentially expressed genes （DEGS）; enrichment analysis; biomarker; ubiquitin-proteasome system（UPS）
来源: Journal of Xi'an Jiaotong University(Medical Sciences) 2022;43(3):395-406
国家China
语言:Chinese
摘要: 【Objective】 To explore the potential biomarkers and related enrichment pathways of dilated cardiomyopathy （DCM） by bioinformatics methods. 【Methods】 The data sets related to DCM in GEO database were searched， and microarray data sets GSE42955 and GSE1869 of human cardiomyocytes were extracted. Then， the differentially expressed genes （DEGS） were analyzed using R language， and the protein-protein interaction network was analyzed to identify the core genes and core modules of differential expression. The gene ontology database （GO） enrichment and Kyoto Gene and Genome Encyclopedia （KEGG） pathway analyses were performed. The data sets related to DCM in ArrayExpress database were searched， and the human cardiomyocytes microarray data set E-TABM-480 was extracted to verify the expressions of core genes and modules. 【Results】 We identified 10 DEGS， namely， DZIP3， FBXO32， BTBD6， FBXL5， ASB8， COMMD1， LTN1， FBXO21， RCHY1 and ARIH2， and the core DEG was DZIP3. After GO and KEGG analyses， the GO and KEGG of the above DEGS were mainly related to the ubiquitin-proteasome system. 【Conclusion】 Bioinformatics analysis shows that the ubiquitin-proteasome system plays an important role in the pathogenesis of DCM， and the mechanism remains to be further studied.