Identify potential chronic heart failure related transcription factors by network analysis

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.