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

Détails

Ressource 1Télécharger: journal.pbio.2005750.pdf (22100.10 [Ko])
Etat: Serval
Version: Final published version
ID Serval
serval:BIB_BD5E621589B6
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
A systems genetics resource and analysis of sleep regulation in the mouse.
Périodique
PLoS Biology
Auteur(s)
Diessler S., Jan M., Emmenegger Y., Guex N., Middleton B., Skene D.J., Ibberson M., Burdet F., Götz L., Pagni M., Sankar M., Liechti R., Hor C.N., Xenarios I., Franken P.
ISSN
1545-7885 (Electronic)
ISSN-L
1544-9173
Statut éditorial
Publié
Date de publication
2018
Peer-reviewed
Oui
Volume
16
Numéro
8
Pages
e2005750
Langue
anglais
Résumé
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.
Pubmed
Web of science
Création de la notice
20/08/2018 16:02
Dernière modification de la notice
14/09/2018 7:08
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