Open AccessBoolean function network analysis of time course liver transcriptome data to reveal novel circadian transcriptional regulators in mammals
Author(s) -
Maria Simak,
Henry Horng Shing Lu,
Jinn-Moon Yang
Publication year - 2019
Publication title -
journal of the chinese medical association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.535
H-Index - 42
eISSN - 1728-7731
pISSN - 1726-4901
DOI - 10.1097/jcma.0000000000000180
Subject(s) - circadian rhythm , biology , circadian clock , computational biology , transcriptome , transcriptional regulation , function (biology) , gene , bioinformatics , transcription factor , neuroscience , genetics , gene expression
Many biological processes in mammals are subject to circadian control at the molecular level. Disruption of circadian rhythms has been demonstrated to be associated with a wide range of diseases, such as diabetes mellitus, mental disorders, and cancer. Although the core circadian genes are well established, there are multiple reports of novel peripheral circadian regulators. The goal of this study was to provide a comprehensive computational analysis to identify novel potential circadian transcriptional regulators.