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Identify potential chronic heart failure related transcription factors by network analysis
Author(s) -
Gang Wu,
Qiang Xie,
Mian Cheng,
Xuejun Jiang,
Bo Yang,
He Huang
Publication year - 2011
Publication title -
african journal of microbiology research
Language(s) - English
Resource type - Journals
ISSN - 1996-0808
DOI - 10.5897/ajmr11.484
Subject(s) - heart failure , transcription factor , medicine , bioinformatics , gene , computational biology , chemistry , biology , biochemistry
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 regulationof network analysis is useful in identification of the candidate genes in heart failure.   Key words: Chronic heart failure, transcription factors, regulation network.

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