Evidence map›Paper›PMID 30091978›Full record

ArticlePLoS biology2018

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

Shanaz Diessler, Maxime Jan, Yann Emmenegger, Nicolas Guex, Benita Middleton, Debra J Skene, Mark Ibberson, Frederic Burdet, Lou Götz, Marco Pagni and 5 more

Abstract read
In one paragraph

Article in PLoS biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. The sleep-wake history contributes to rhythmic BMAL1 chromatin binding in the cerebral cortex but not in the liver.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  12. Orthologs ofSleep advances : a journal of the Sleep Research Society · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Shanaz DiesslerCenter for Integrative Genomics, University of Lausanne, Switzerland.
Maxime JanCenter for Integrative Genomics, University of Lausanne, Switzerland.
Yann EmmeneggerCenter for Integrative Genomics, University of Lausanne, Switzerland.
Nicolas GuexVital-IT Systems Biology Division, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Benita MiddletonFaculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom.
Debra J SkeneFaculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom.
Mark IbbersonVital-IT Systems Biology Division, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Frederic BurdetVital-IT Systems Biology Division, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Lou GötzVital-IT Systems Biology Division, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Marco PagniVital-IT Systems Biology Division, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Martial SankarVital-IT Systems Biology Division, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Robin LiechtiVital-IT Systems Biology Division, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Charlotte N HorCenter for Integrative Genomics, University of Lausanne, Switzerland.
Ioannis XenariosCenter for Integrative Genomics, University of Lausanne, Switzerland.
Paul FrankenCenter for Integrative Genomics, University of Lausanne, Switzerland.ORCID 0000-0002-2500-2921

Funding

Medical Research Council MR/N006321/1
6 · The paper itself

Abstract

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.

Indexed as

AnimalsDatabases, FactualMetabolomeMiceMice, Inbred StrainsSleepSleep DeprivationTranscriptome

Identifiers

PMID30091978
PMCPMC6085075

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.