ArticleNeuron2022
Mapping brain gene coexpression in daytime transcriptomes unveils diurnal molecular networks and deciphers perturbation gene signatures.
Article in Neuron, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Meta-analysis of Diurnal Transcriptomics in Mouse Liver Reveals Low Repeatability of Rhythm Analyses.Journal of biological rhythms · 2023Pooled it
- Predicting and finding geroprotective compounds through modulating conserved longevity-associated aging modules.Science advances · 2026Article
- FOXO family and neurodegenerative diseases: Mechanisms of action and therapeutic potential.Redox biology · 2026Review
- Powering the mind: deciphering the shared genetic architecture between mitochondrial DNA copy number and major psychiatric disorders.Molecular psychiatry · 2026Article
- Article
- Library size-stabilized metacells construction enhances co-expression network analysis in single-cell data.PLoS computational biology · 2025Article
- Conserved Blood Transcriptome Patterns Highlight microRNA and Hub Gene Drivers of Neurodegeneration.Genes · 2025Article
- A single-cell genomic atlas for the effects of chronic ethanol exposure in the mouse dorsal striatum.Molecular psychiatry · 2025Article
- Generating correlated data for omics simulation.PLoS computational biology · 2025Article
- Site- and cell-type-specific miRNA and mRNA genes and networks across the cortex, striatum, and hypothalamus.Communications biology · 2025Article
- Article
- Generating Correlated Data for Omics Simulation.bioRxiv : the preprint server for biology · 2025Article
- Article
- Knocking Out TAAR5: A Pathway to Enhanced Neurogenesis and Dopamine Signaling in the Striatum.Cells · 2024Article
- Systems Genetics Analyses Reveals Key Genes Related to Behavioral Traits in the Striatum of CFW Mice.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Comparative rhythmic transcriptome profiling of human and mouse striatal subregions.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Article
- Review
- Sleep Disorder Kleine-Levin Syndrome (KLS) Joins the List of Polygenic Brain Disorders Associated with Obstetric Complications.Cellular and molecular neurobiology · 2023Review
- Sleep and Circadian Rhythm Dysfunction in Animal Models of Huntington's Disease.Journal of Huntington's disease · 2023Review
Corrections and comments
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Authors and funding
23 authors at 5 institutions in 2 countries.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.