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Series GSE117161 Query DataSets for GSE117161
Status Public on Apr 07, 2019
Title Physiological and molecular dissection of daily variance in exercise capacity
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Physical performance relies on the concerted action of myriad responses, many of which are under circadian clock control. Little is known, however, regarding the time-dependent effect on exercise performance at the molecular level. We found that both mice and humans exhibit day-time variance in exercise capacity between the early and late part of their active phase. The day-time variance in mice was dependent on exercise intensity and relied on the circadian clock proteins PER1/2. High throughput gene expression and metabolic profiling of skeletal muscle revealed metabolic pathways that are differently activated upon exercise in a day-time dependent manner. Remarkably, we discovered that ZMP, an endogenous AMPK activator, is induced by exercise in a time-dependent manner to regulate key steps in glycolytic and fatty acid oxidation pathways and potentially enhance exercise capacity. Overall, we propose that time of the day is a major modifier of exercise capacity and associated metabolic pathways.
 
Overall design basal, high intensity and moderate intensity runnig protocol at ZT14 and ZT22 in gastrocnemius muscle in C57B6 mice
 
Contributor(s) Ezagouri S, Zwighaft Z, Sobel J, Asher G
Citation(s) 31006590, 33598660
Submission date Jul 16, 2018
Last update date Feb 23, 2021
Contact name Jonathan Aryeh Sobel
E-mail(s) jonathan.sobel@weizmann.ac.il
Phone 00972587889058
Organization name Weizmann Institute of science
Department Biomolecular Sciences
Lab Asher
Street address Benoziyo Building for Biological Sciences, room 277S, Weizmann Institute of Science
City Rehovot
ZIP/Postal code 7610001
Country Israel
 
Platforms (1)
GPL19057 Illumina NextSeq 500 (Mus musculus)
Samples (18)
GSM3272710 Basal_Early_A
GSM3272711 Basal_Early_B
GSM3272712 Basal_Early_C
Relations
BioProject PRJNA481324
SRA SRP153906

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Supplementary file Size Download File type/resource
GSE117161_RNA-seq_raw_counts_Exercise_performance_project.csv.gz 408.9 Kb (ftp)(http) CSV
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Raw data are available in SRA
Processed data are available on Series record

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