Genome-wide studies of time of day in the brain: Design and analysis
Author(s) -
Gang Wu,
Marc D. Ruben,
Yinyeng Lee,
Jiajia Li,
Michael E. Hughes,
John B. Hogenesch
Publication year - 2020
Publication title -
brain science advances
Language(s) - English
Resource type - Journals
ISSN - 2096-5958
DOI - 10.26599/bsa.2020.9050005
Subject(s) - circadian rhythm , biology , neuroscience , computational biology , transcriptome , genome , bioinformatics , gene , genetics , gene expression
Transcriptome profiling at different times of day is powerful for studying circadian regulation in model organisms and humans. To date, 24 h profiles from many tissue types suggest that about half of all genes are circadian-expressed somewhere in the body. However, few of these studies focused on the brain. Thus, despite known links between circadian disruption and neurological disease, we have virtually no mechanistic understanding. In the coming decade, we expect more genome-wide studies of time of day in different brain diseases, regions, and cell types. We expect just as many different approaches to the design and analysis of these studies. This review considers key principles of circadian tran scriptomics, with the goal of maximizing utility and reproducibility of future studies in the nervous system.
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