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Mapping brain gene coexpression in daytime transcriptomes unveils diurnal molecular networks and deciphers perturbation gene signatures

Authors :
Nan Wang
Peter Langfelder
Matthew Stricos
Lalini Ramanathan
Jeffrey B. Richman
Raymond Vaca
Mary Plascencia
Xiaofeng Gu
Shasha Zhang
T. Katherine Tamai
Liguo Zhang
Fuying Gao
Koliane Ouk
Xiang Lu
Leonid V. Ivanov
Thomas F. Vogt
Qing Richard Lu
A. Jennifer Morton
Christopher S. Colwell
Jeffrey S. Aaronson
Jim Rosinski
Steve Horvath
X. William Yang
Morton, Jenny [0000-0003-0181-6346]
Apollo - University of Cambridge Repository
Source :
Neuron. 110(20)
Publication Year :
2022

Abstract

Brain tissue transcriptomes may be organized into gene coexpression networks, but their underlying biological drivers remain incompletely understood. Here, we undertook a large-scale transcriptomic study using 508 wild-type mouse striatal tissue samples dissected exclusively in the afternoons to define 38 highly reproducible gene coexpression modules. We found that 13 and 11 modules are enriched in cell-type and molecular complex markers, respectively. Importantly, 18 modules are highly enriched in daily rhythmically expressed genes that peak or trough with distinct temporal kinetics, revealing the underlying biology of striatal diurnal gene networks. Moreover, the diurnal coexpression networks are a dominant feature of daytime transcriptomes in the mouse cortex. We next employed the striatal coexpression modules to decipher the striatal transcriptomic signatures from Huntington's disease models and heterozygous null mice for 52 genes, uncovering novel functions for Prkcq and Kdm4b in oligodendrocyte differentiation and bipolar disorder-associated Trank1 in regulating anxiety-like behaviors and nocturnal locomotion.

Details

ISSN :
10974199
Volume :
110
Issue :
20
Database :
OpenAIRE
Journal :
Neuron
Accession number :
edsair.doi.dedup.....102cf3176c3176500f2ba80c16ba4a22