Transcriptomic profiling of skeletal muscle adaptations to exercise and inactivity

The pathways that underlie the effects of exercise on metabolism remain incompletely described. Here, the authors perform a meta-analysis of transcriptomic data from 66 published datasets of human skeletal muscle. They identify pathways selectively activated by inactivity, aerobic or resistance exer...

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Main Authors:	Nicolas J. Pillon, Brendan M. Gabriel, Lucile Dollet, Jonathon A. B. Smith, Laura Sardón Puig, Javier Botella, David J. Bishop, Anna Krook, Juleen R. Zierath
Format:	Article
Language:	English
Published:	Nature Publishing Group 2020-01-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-019-13869-w

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spelling	doaj-2c2929f8e4044f13af400f8dae2f008f2021-05-11T08:46:17ZengNature Publishing GroupNature Communications2041-17232020-01-0111111510.1038/s41467-019-13869-wTranscriptomic profiling of skeletal muscle adaptations to exercise and inactivityNicolas J. Pillon0Brendan M. Gabriel1Lucile Dollet2Jonathon A. B. Smith3Laura Sardón Puig4Javier Botella5David J. Bishop6Anna Krook7Juleen R. Zierath8Department of Physiology and Pharmacology, Karolinska InstitutetDepartment of Physiology and Pharmacology, Karolinska InstitutetDepartment of Physiology and Pharmacology, Karolinska InstitutetDepartment of Physiology and Pharmacology, Karolinska InstitutetDepartment of Molecular Medicine and Surgery, Karolinska InstitutetInstitute for Health and Sport, Victoria UniversityInstitute for Health and Sport, Victoria UniversityDepartment of Physiology and Pharmacology, Karolinska InstitutetDepartment of Physiology and Pharmacology, Karolinska InstitutetThe pathways that underlie the effects of exercise on metabolism remain incompletely described. Here, the authors perform a meta-analysis of transcriptomic data from 66 published datasets of human skeletal muscle. They identify pathways selectively activated by inactivity, aerobic or resistance exercise, and characterize NR4A3 as one of the genes responsive to inactivity.https://doi.org/10.1038/s41467-019-13869-w
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Nicolas J. Pillon Brendan M. Gabriel Lucile Dollet Jonathon A. B. Smith Laura Sardón Puig Javier Botella David J. Bishop Anna Krook Juleen R. Zierath
spellingShingle	Nicolas J. Pillon Brendan M. Gabriel Lucile Dollet Jonathon A. B. Smith Laura Sardón Puig Javier Botella David J. Bishop Anna Krook Juleen R. Zierath Transcriptomic profiling of skeletal muscle adaptations to exercise and inactivity Nature Communications
author_facet	Nicolas J. Pillon Brendan M. Gabriel Lucile Dollet Jonathon A. B. Smith Laura Sardón Puig Javier Botella David J. Bishop Anna Krook Juleen R. Zierath
author_sort	Nicolas J. Pillon
title	Transcriptomic profiling of skeletal muscle adaptations to exercise and inactivity
title_short	Transcriptomic profiling of skeletal muscle adaptations to exercise and inactivity
title_full	Transcriptomic profiling of skeletal muscle adaptations to exercise and inactivity
title_fullStr	Transcriptomic profiling of skeletal muscle adaptations to exercise and inactivity
title_full_unstemmed	Transcriptomic profiling of skeletal muscle adaptations to exercise and inactivity
title_sort	transcriptomic profiling of skeletal muscle adaptations to exercise and inactivity
publisher	Nature Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2020-01-01
description	The pathways that underlie the effects of exercise on metabolism remain incompletely described. Here, the authors perform a meta-analysis of transcriptomic data from 66 published datasets of human skeletal muscle. They identify pathways selectively activated by inactivity, aerobic or resistance exercise, and characterize NR4A3 as one of the genes responsive to inactivity.
url	https://doi.org/10.1038/s41467-019-13869-w
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Transcriptomic profiling of skeletal muscle adaptations to exercise and inactivity

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