机构:[1]Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China临床科室心脏内科中心首都医科大学附属安贞医院[2]Department of Cardiology, Central Hospital of Taian of Shandong Province, China[3]Department of Cardiology, Affiliated Hospital of Taishan Medical University of Shandong Province, Taian, China[4]Department of Radiology, Taishan Medical University of Shandong Province, Taian, China[5]Department of Respiration Medicine, Central Hospital of Taian of Shandong Province, China
Despite significant advances in understanding of the causes of and treatment of myocardial infarction (MI) in recent years, morbidity and mortality is still high. The aim of this study was to identify miRNA and genes potentially associated with MI. mRNA and miRNA expression datasets were downloaded from the Gene Expression Omnibus database (http://www.ncbi.nlm.nih.gov/geo/).Interactions between miRNA and the expression and function of target genes were analyzed, and a protein-protein interaction network was constructed. The diagnostic value of identified miRNA and genes was assessed. Quantitative RT-PCR was applied to validate the results of the bioinformatics analysis. MiR-27a, miR-31*, miR1291, miR-139-5p, miR-204, miR-375, and target genes including CX3CR1, HSPA6, and TPM3 had potential diagnostic value. The genes TFEB, IRS2, GRB2, FASLG, LIMS1, CX3CR1, HSPA6, TPM3, LAT2, CEBPD, AQP9, and MAPKAPK2 were associated with recovery from MI. In conclusion, the identified miRNA and genes might be associated with the pathology of MI.
第一作者机构:[1]Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China[2]Department of Cardiology, Central Hospital of Taian of Shandong Province, China
共同第一作者:
通讯作者:
通讯机构:[1]Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China[*1]Department of Cardiology, Anzhen affiliated Hospital of Capital Medical University, No. 2 Anzhen Road, Chaoyang District, Beijing 100000, China
推荐引用方式(GB/T 7714):
Ke Wu,Qiang Zhao,Zhengmei Li,et al.Bioinformatic screening for key miRNAs and genes associated with myocardial infarction[J].FEBS OPEN BIO.2018,8(6):897-913.doi:10.1002/2211-5463.12423.
APA:
Ke Wu,Qiang Zhao,Zhengmei Li,Nannan Li,Qiang Xiao...&Quanming Zhao.(2018).Bioinformatic screening for key miRNAs and genes associated with myocardial infarction.FEBS OPEN BIO,8,(6)
MLA:
Ke Wu,et al."Bioinformatic screening for key miRNAs and genes associated with myocardial infarction".FEBS OPEN BIO 8..6(2018):897-913