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Cross-species systems analysis identifies gene networks differentially altered by sleep loss and depression.


ABSTRACT: To understand the transcriptomic organization underlying sleep and affective function, we studied a population of (C57BL/6J × 129S1/SvImJ) F2 mice by measuring 283 affective and sleep phenotypes and profiling gene expression across four brain regions. We identified converging molecular bases for sleep and affective phenotypes at both the single-gene and gene-network levels. Using publicly available transcriptomic datasets collected from sleep-deprived mice and patients with major depressive disorder (MDD), we identified three cortical gene networks altered by the sleep/wake state and depression. The network-level actions of sleep loss and depression were opposite to each other, providing a mechanistic basis for the sleep disruptions commonly observed in depression, as well as the reported acute antidepressant effects of sleep deprivation. We highlight one particular network composed of circadian rhythm regulators and neuronal activity-dependent immediate-early genes. The key upstream driver of this network, Arc, may act as a nexus linking sleep and depression. Our data provide mechanistic insights into the role of sleep in affective function and MDD.

SUBMITTER: Scarpa JR 

PROVIDER: S-EPMC6059761 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

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Cross-species systems analysis identifies gene networks differentially altered by sleep loss and depression.

Scarpa Joseph R JR   Jiang Peng P   Gao Vance D VD   Fitzpatrick Karrie K   Millstein Joshua J   Olker Christopher C   Gotter Anthony A   Winrow Christopher J CJ   Renger John J JJ   Kasarskis Andrew A   Turek Fred W FW   Vitaterna Martha H MH  

Science advances 20180725 7


To understand the transcriptomic organization underlying sleep and affective function, we studied a population of (C57BL/6J × 129S1/SvImJ) F2 mice by measuring 283 affective and sleep phenotypes and profiling gene expression across four brain regions. We identified converging molecular bases for sleep and affective phenotypes at both the single-gene and gene-network levels. Using publicly available transcriptomic datasets collected from sleep-deprived mice and patients with major depressive diso  ...[more]

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