Title of article :
Construction of mRNA Regulatory Networks Reveals the Key Genes in Atrial Fibrillation
Author/Authors :
Chen, Nannan Department of Cardiology - Yangpu Hospital - Tongji University School of Medicine - Tengyue Road - Shanghai, China , Qin, Mu Department of Cardiology - Shanghai Chest Hospital of Shanghai Jiaotong University - Huai Hai Road - Shanghai, China , Gong, Qunlin Department of Cardiology - Yangpu Hospital - Tongji University School of Medicine - Tengyue Road - Shanghai, China , Xu, Nan Department of Cardiology - Yangpu Hospital - Tongji University School of Medicine - Tengyue Road - Shanghai, China , Lin, Yu Department of Cardiology - Yangpu Hospital - Tongji University School of Medicine - Tengyue Road - Shanghai, China , Wang, Jiahong Department of Cardiology - Yangpu Hospital - Tongji University School of Medicine - Tengyue Road - Shanghai, China , Zheng, Pengxiang Department of Cardiology - Yangpu Hospital - Tongji University School of Medicine - Tengyue Road - Shanghai, China
Abstract :
Atrial fibrillation (AF), the most familiar heart rhythm disorder, is a major cause of stroke in the world, whereas the mechanism
behind AF remains largely unclear. In the current study, we used the RNA-seq method to identify 275 positively regulated
mRNAs and 117 negatively regulated mRNAs in AF compared to healthy controls. Through bioinformatic analysis, it indicated
that these distinctively expressed genes took part in regulating multiple AF-related biological processes and pathways, such as
platelet aggregation, platelet activation, pri-miRNA transcription, and transforming growth factor-beta (TGF-β) receptor
signaling pathway. Protein-protein interaction (PPI) network analysis identified ITGB5, SRC, ACTG1, ILK, ITGA2B, ITGB3,
TUBB4B, CDK11A, PAFAH1B1, CDK11B, and TUBG1 as hub regulators in AF. Moreover, the quantitative real-time PCR
(qRT-PCR) assay was conducted and revealed that these hub genes were remarkably overexpressed in AF samples compared to
normal samples. We believed that this study would enrich the understanding of the pathogenesis of AF and enable further
research on the pathogenesis of AF.
Keywords :
Fibrillation , mRNA , AF , NGS
Journal title :
Computational and Mathematical Methods in Medicine