ISSN 2736-1756
Advanced Journal of Microbiology Research ISSN 2241-9837 Vol. 13 (6), pp. 001-008, June, 2019. © International Scholars Journals
Full Length Research Paper
Identify potential chronic heart failure related transcription factors by network analysis
Wu Gang1*, Xie Qiang2#, Cheng Mian3, Jiang Xuejun1, Yang Bo1 and Huang He1
1Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430060, China.
2Department of Cardiovascular disease, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian, 361003, China.
3Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Accepted 23 April, 2019
Abstract
Chronic heart failure (CHF) is characterized by diminished cardiac output and pooling of blood in the venous system. Using transcriptome data, we constructed a regulation network to identify the potential genes that related to heart failure. In the network, some of transcription factors and its’ target genes have been proved to be related to heart failure in previous study. According to the regulation network, we found some new transcription factors and target genes, which have not been proved to be directly related with; we also found MYC, TP53 and ETS2 regulate each other. Our work demonstrated that regulation of network analysis is useful in identification of the candidate genes in heart failure.
Key words: Chronic heart failure, transcription factors, regulation network.