Enhancer and transcriptomic changes in skeletal muscles in response to physical exercise
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE79739 | GEO | 2017/03/29
SECONDARY ACCESSION(S): PRJNA316866
REPOSITORIES: GEO
Similar Datasets
Project description:Human skeletal muscles in exercise
| PRJNA782469 | ENA
Project description:We sought to determine the skeletal muscle genome-wide DNA methylation and mRNA respons-es to one bout of lower-load (LL) versus higher-load (HL) resistance exercise. Trained col-lege-aged males (n=11, 23±4 years old, 4±3 years self-reported training) performed LL or HL bouts to failure separated by one week. The HL bout (i.e., 80 Fail) consisted of four sets of back squats and four sets of leg extensions to failure using 80% of participants estimated one-repetition maximum (i.e., est. 1-RM). The LL bout (i.e., 30 Fail) implemented the same paradigm with 30% of est. 1-RM. Vastus lateralis muscle biopsies were collected before, 3 hours, and 6 hours after each bout. Muscle DNA and RNA were batch-isolated and analyzed using the 850k Illumina Methyl-ationEPIC array and Clariom S mRNA microarray, respectively. Performed repetitions were sig-nificantly greater during the 30 Fail versus 80 Fail (p<0.001), although total training volume (sets x reps x load) was not significantly different between bouts (p=0.571). Regardless of bout, more CpG site methylation changes were observed at 3- versus 6-hours post exercise (239,951 versus 12,419, respectively; p<0.01), and nuclear global ten-eleven translocation (TET) activity, but not global DNA methyltransferase activity, increased 3- and 6-hours following exercise regardless of bout. The percentage of genes significantly altered at the mRNA level that demonstrated opposite DNA methylation patterns was greater 3- versus 6-hours following exercise (~75% versus ~15%, respectively). Moreover, high percentages of genes that were up- or downregulated 6 hours fol-lowing exercise also demonstrated significantly inversed DNA methylation patterns across one or more CpG sites 3 hours following exercise (65% and 82%, respectively). While 30 Fail de-creased DNA methylation across various promoter regions versus 80 Fail, transcriptome-wide mRNA and bioinformatics indicated that gene expression signatures were largely similar be-tween bouts. Bioinformatics overlay of DNA methylation and mRNA expression data indicated that genes related to “Focal adhesion”, “MAPK signaling”, and “PI3K-Akt signaling” were sig-nificantly affected at the 3- and 6-hour time points, and again this was regardless of bout. In con-clusion, extensive molecular profiling suggests that post-exercise alterations in the skeletal muscle DNA methylome and mRNA transcriptome elicited by LL and HL training bouts to failure are largely similar, and this could be related to equal volumes performed between bouts.
2022-12-14 | GSE220928 | GEO
Project description:The exercises such as running alter gene expression in skeletal muscles. The gene expression profiling in human skeletal musles after running and not exercised were compared.
2025-08-20 | GSE189298 | GEO
Project description:Skeletal muscle adapts to exercise training of various modes, intensities and durations with a programmed gene expression response. This study dissects the independent and combined effects of exercise mode, intensity and duration to identify which exercise has the most positive effects on skeletal muscle health. Full details on exercise groups can be found in: Kraus et al Med Sci Sports Exerc. 2001 Oct;33(10):1774-84 and Bateman et al Am J Cardiol. 2011 Sep 15;108(6):838-44.
2015-05-14 | GSE48278 | GEO
Project description:Consequence of physical exercise in skeletal muscle was investigated in C57BL/6 mice after 4 weeks of exercise training and compared to sedentary controls.
2015-02-01 | GSE54276 | GEO
Project description:Skeletal muscle adapts to exercise training of various modes, intensities and durations with a programmed gene expression response. This study dissects the independent and combined effects of exercise mode, intensity and duration to identify which exercise has the most positive effects on skeletal muscle health. Full details on exercise groups can be found in: Kraus et al Med Sci Sports Exerc. 2001 Oct;33(10):1774-84 and Bateman et al Am J Cardiol. 2011 Sep 15;108(6):838-44. This study uses a middle aged group of subjects that have 3+ markers of metabolic syndrome. One group remains an inactive control, while 5 groups undergo 9 mo supervised exercise training. Exercise groups are as follows: Inactive control (group B); Mild aerobic exercise - low amount/mod intensity (group A); Moderate aerobic exercise - low amt/vig intensity (group D); High aerobic exercise - high amt/vig intensity (group C); resistance training only (group F); and mod aerobic + resistance training (group E). Each group has 10 subjects (5 men and 5 women), however 3 subjects failed array QC, leaving 8 subjects in group E and 9 subjects in group F. Data were all analyzed pre to post training in a RM ANCOVA, covaried for age and sex or regression to determine genotype/phenotype interactions.
2015-05-14 | E-GEOD-48278 | biostudies-arrayexpress
Project description:Consequence of physical exercise in skeletal muscle was investigated in C57BL/6 mice after 4 weeks of exercise training and compared to sedentary controls. Exercised mice received four 4 weeks of regular exercise training on a motorized treadmill and were compared to sedentary controls. 6 mice of each Treatment were used to extract RNA from the quadriceps muscle three hours after the last training bout
2015-02-01 | E-GEOD-54276 | biostudies-arrayexpress
Project description:The few investigations on exercise-induced global gene expression responses in human skeletal muscle haves typically focused at one specific mode of exercise and few such studies have implemented control measures. However, interpretation on distinct phenotype regulation necessitate comparison between essentially different modes of exercise and the ability to identify true exercise effects, necessitate implementation of independent non-exercise control subjects. Furthermore, muscle transkriptometranscriptome data made available through previous exercise studies can be difficult to extract and interpret by individuals that are inexperienced with bioinformatic procedures. In a comparative study, we; (1) investigated the human skeletal muscle transcriptome response to differentiated exercise and non-exercise control intervention, and; (2) aimed to develop a straightforward search tool to allow for easy extraction and interpretation of our data. We provide a simple spreadsheet containing transcriptome data allowing other investigators to see how mRNA of their interest behave in skeletal muscle following exercise, both endurance, strength and non-exercise. Our approach, allow investigators easy access to information on genuine transcriptome effects of differentiated exercise, to better aid hyporthesis-driven question in this particular field of research.
2014-11-19 | GSE59088 | GEO
Project description:The few investigations on exercise-induced global gene expression responses in human skeletal muscle haves typically focused at one specific mode of exercise and few such studies have implemented control measures. However, interpretation on distinct phenotype regulation necessitate comparison between essentially different modes of exercise and the ability to identify true exercise effects, necessitate implementation of independent non-exercise control subjects. Furthermore, muscle transkriptometranscriptome data made available through previous exercise studies can be difficult to extract and interpret by individuals that are inexperienced with bioinformatic procedures. In a comparative study, we; (1) investigated the human skeletal muscle transcriptome response to differentiated exercise and non-exercise control intervention, and; (2) aimed to develop a straightforward search tool to allow for easy extraction and interpretation of our data. We provide a simple spreadsheet containing transcriptome data allowing other investigators to see how mRNA of their interest behave in skeletal muscle following exercise, both endurance, strength and non-exercise. Our approach, allow investigators easy access to information on genuine transcriptome effects of differentiated exercise, to better aid hyporthesis-driven question in this particular field of research. 18 subjects were divided into 3 groups, performing 12 weeks of Endurance or Strength training or no training. Biopsies for microarray were take before (Pre) and 2½ and 5 hours after the last training session. Isolated RNA from these biopsies were then measured with the Affymetrix Human Gene 1.0 ST arrays.
2014-11-19 | E-GEOD-59088 | biostudies-arrayexpress
Project description:Three dimensional engineered culture systems are powerful tools to rapidly expand our knowledge of human biology and identify novel therapeutic targets for disease. Bioengineered skeletal muscle has been recently shown to recapitulate many features of native muscle biology. However, current skeletal muscle bioengineering approaches require large numbers of cells, reagents and labour, limiting their potential for high-throughput studies. Herein, we use a miniaturized 96-well micro-muscle platform to facilitate semi-automated tissue formation, culture and analysis of human skeletal micro muscles (hμMs). Utilising an iterative screening approach we define a serum-free differentiation protocol that drives rapid, directed differentiation of human myoblast to skeletal myofibres. The resulting hμMs comprised organised bundles of striated and functional myofibres, which respond appropriately to electrical stimulation. Additionally, we developed an optogenetic approach to chronically stimulate hμM to recapitulate known features of exercise training including myofibre hypertrophy and increased expression of metabolic proteins. Taken together, our miniaturized approach provides a new platform to enable high-throughput studies of human skeletal muscle biology and exercise physiology.
2019-03-12 | PXD011919 | Pride