A systems genetics resource and analysis of sleep regulation in the mouse.

Fiche du document

Type de document
Périmètre
Langue
Identifiants
Relations

Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pbio.2005750

Ce document est lié à :
info:eu-repo/semantics/altIdentifier/pmid/30091978

Ce document est lié à :
info:eu-repo/semantics/altIdentifier/eissn/1545-7885

Ce document est lié à :
info:eu-repo/semantics/altIdentifier/urn/urn:nbn:ch:serval-BIB_BD5E621589B68

Licences

info:eu-repo/semantics/openAccess , Copying allowed only for non-profit organizations , https://serval.unil.ch/disclaimer



Sujets proches En

Sleeping Slumber

Citer ce document

S. Diessler et al., « A systems genetics resource and analysis of sleep regulation in the mouse. », Serveur académique Lausannois, ID : 10.1371/journal.pbio.2005750


Métriques


Partage / Export

Résumé 0

Sleep is essential for optimal brain functioning and health, but the biological substrates through which sleep delivers these beneficial effects remain largely unknown. We used a systems genetics approach in the BXD genetic reference population (GRP) of mice and assembled a comprehensive experimental knowledge base comprising a deep "sleep-wake" phenome, central and peripheral transcriptomes, and plasma metabolome data, collected under undisturbed baseline conditions and after sleep deprivation (SD). We present analytical tools to interactively interrogate the database, visualize the molecular networks altered by sleep loss, and prioritize candidate genes. We found that a one-time, short disruption of sleep already extensively reshaped the systems genetics landscape by altering 60%-78% of the transcriptomes and the metabolome, with numerous genetic loci affecting the magnitude and direction of change. Systems genetics integrative analyses drawing on all levels of organization imply α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) receptor trafficking and fatty acid turnover as substrates of the negative effects of insufficient sleep. Our analyses demonstrate that genetic heterogeneity and the effects of insufficient sleep itself on the transcriptome and metabolome are far more widespread than previously reported.

document thumbnail

Par les mêmes auteurs

Sur les mêmes sujets

Exporter en