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A systems genetics resource and analysis of sleep regulation in the mouse
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 experimenta...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6085075/ https://www.ncbi.nlm.nih.gov/pubmed/30091978 http://dx.doi.org/10.1371/journal.pbio.2005750 |
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author | Diessler, Shanaz Jan, Maxime Emmenegger, Yann Guex, Nicolas Middleton, Benita Skene, Debra J. Ibberson, Mark Burdet, Frederic Götz, Lou Pagni, Marco Sankar, Martial Liechti, Robin Hor, Charlotte N. Xenarios, Ioannis Franken, Paul |
author_facet | Diessler, Shanaz Jan, Maxime Emmenegger, Yann Guex, Nicolas Middleton, Benita Skene, Debra J. Ibberson, Mark Burdet, Frederic Götz, Lou Pagni, Marco Sankar, Martial Liechti, Robin Hor, Charlotte N. Xenarios, Ioannis Franken, Paul |
author_sort | Diessler, Shanaz |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6085075 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-60850752018-08-18 A systems genetics resource and analysis of sleep regulation in the mouse Diessler, Shanaz Jan, Maxime Emmenegger, Yann Guex, Nicolas Middleton, Benita Skene, Debra J. Ibberson, Mark Burdet, Frederic Götz, Lou Pagni, Marco Sankar, Martial Liechti, Robin Hor, Charlotte N. Xenarios, Ioannis Franken, Paul PLoS Biol Methods and Resources 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. Public Library of Science 2018-08-09 /pmc/articles/PMC6085075/ /pubmed/30091978 http://dx.doi.org/10.1371/journal.pbio.2005750 Text en © 2018 Diessler et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Methods and Resources Diessler, Shanaz Jan, Maxime Emmenegger, Yann Guex, Nicolas Middleton, Benita Skene, Debra J. Ibberson, Mark Burdet, Frederic Götz, Lou Pagni, Marco Sankar, Martial Liechti, Robin Hor, Charlotte N. Xenarios, Ioannis Franken, Paul A systems genetics resource and analysis of sleep regulation in the mouse |
title | A systems genetics resource and analysis of sleep regulation in the mouse |
title_full | A systems genetics resource and analysis of sleep regulation in the mouse |
title_fullStr | A systems genetics resource and analysis of sleep regulation in the mouse |
title_full_unstemmed | A systems genetics resource and analysis of sleep regulation in the mouse |
title_short | A systems genetics resource and analysis of sleep regulation in the mouse |
title_sort | systems genetics resource and analysis of sleep regulation in the mouse |
topic | Methods and Resources |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6085075/ https://www.ncbi.nlm.nih.gov/pubmed/30091978 http://dx.doi.org/10.1371/journal.pbio.2005750 |
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