DERBY BBSRC RET Study: Impact of resistance exercise on human skeletal muscle gene expression
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE47881 | GEO | 2013/06/12
SECONDARY ACCESSION(S): PRJNA208236
REPOSITORIES: GEO
Similar Datasets
Project description:The molecular pathways which are activated and contribute to physiological remodeling of skeletal muscle in response to endurance exercise have not been fully characterized. We previously reported that ~800 gene transcripts are regulated following 6 weeks of supervised endurance training in young sedentary males, referred to as the training responsive transcriptome (TRT). Here we utilized this database together with data on biological variation in muscle adaptation to aerobic endurance training in both humans and a novel out-bred rodent model to study the potential regulatory molecules that coordinate this complex network of genes. We identified three DNA sequences representing RUNX1, SOX9, and PAX3 transcription factor binding sites as over-represented in the TRT. In turn, miRNA profiling indicated that several miRNAs targeting RUNX1, SOX9 and PAX3 were down-regulated by endurance training. The TRT was then examined by contrasting subjects who demonstrated the least vs. the greatest improvement in aerobic capacity (low vs. high responders), and at least 100 of the 800 TRT genes were differentially regulated, thus suggesting regulation of these genes may be important for improving aerobic capacity. In high responders, pro-angiogenic and tissue developmental networks emerged as key candidates for coordinating tissue aerobic adaptation. Beyond RNA level validation there were several DNA variants that associated with VO(2)max trainability in the HERITAGE Family Study but these did not pass conservative Bonferroni adjustment. In addition, in a rat model selected across 10 generations for high aerobic training responsiveness, we found that both the TRT and a homologous subset of the human high responder genes were regulated to a greater degree in high responder rodent skeletal muscle. This analysis provides a comprehensive map of the transcriptomic features important for aerobic exercise-induced improvements in maximal oxygen consumption. This data is from skeletal muscle post 6 weeks of endurance exercise training.
2012-02-10 | E-GEOD-35659 | biostudies-arrayexpress
Project description:The aim of this work was to produce a reproducible molecular signature of human muscle responses to resistance training and examine how such a profile relates to new and established exercise adaptation gene networks. Subjects were recruited from an age range of 18 to 75 y. Before beginning the study all subjects were screened using a medical questionnaire, physical examination and resting ECG with exclusions for overt muscle wasting (>2 SD below age norms)[85], metabolic, respiratory/cardiovascular disorders or other major contraindications to a healthy status. All subjects had normal blood chemistry and were normotensive (BP <140/90). All subjects performed routine activities of daily living and recreation but did not participate in moderate to high intensity aerobic exercise and none had participated in RET in the last 24 months. Body composition was measured at screening and following RET by dual energy X-ray absorptiometry (DEXA) (Lunar Prodigy II, GE Medical Systems). Subject positioning on the DEXA bed was optimized to allow the region of interest (ROI) body compartments to be analyzed separately. The upper leg ROI was selected as the area inferior to the lowest visible point of the coccyx to the mid-point of the patella. The dataset comprises 44 pre-exercise and 44 post-exercise samples. In addition there is a baseline sample NB021_pre-training (D13_NB021F). Therefore there are 89 samples in total. (Note: Singleton baseline sample NB021_pre-training was normalized only using all baseline samples.) Derby dataset.
2013-06-12 | E-GEOD-47881 | biostudies-arrayexpress
Project description:The molecular pathways which are activated and contribute to physiological remodeling of skeletal muscle in response to endurance exercise have not been fully characterized. We previously reported that ~800 gene transcripts are regulated following 6 weeks of supervised endurance training in young sedentary males, referred to as the training responsive transcriptome (TRT). Here we utilized this database together with data on biological variation in muscle adaptation to aerobic endurance training in both humans and a novel out-bred rodent model to study the potential regulatory molecules that coordinate this complex network of genes. We identified three DNA sequences representing RUNX1, SOX9, and PAX3 transcription factor binding sites as over-represented in the TRT. In turn, miRNA profiling indicated that several miRNAs targeting RUNX1, SOX9 and PAX3 were down-regulated by endurance training. The TRT was then examined by contrasting subjects who demonstrated the least vs. the greatest improvement in aerobic capacity (low vs. high responders), and at least 100 of the 800 TRT genes were differentially regulated, thus suggesting regulation of these genes may be important for improving aerobic capacity. In high responders, pro-angiogenic and tissue developmental networks emerged as key candidates for coordinating tissue aerobic adaptation. Beyond RNA level validation there were several DNA variants that associated with VO(2)max trainability in the HERITAGE Family Study but these did not pass conservative Bonferroni adjustment. In addition, in a rat model selected across 10 generations for high aerobic training responsiveness, we found that both the TRT and a homologous subset of the human high responder genes were regulated to a greater degree in high responder rodent skeletal muscle. This analysis provides a comprehensive map of the transcriptomic features important for aerobic exercise-induced improvements in maximal oxygen consumption.
2012-02-10 | GSE35659 | 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:In the present study 23 participants completed three months of supervised aerobic exercise training of one leg (training period 1) followed by 9 months of rest before 12 of the participants completed a second exercise training period (training period 2) of three months of both legs. Skeletal muscle biopsies have been collected before and after the training periods. We have compared trained leg with untrained leg and studied gene and isoform expression. Additional samples included in this study has been previously submitted (GEO accession number GSE58387 and GSE60590).
2016-08-14 | GSE60833 | GEO
Project description:This study aimed to determine skeletal muscle DNA methylation changes in a cohort of volunteers with a range of insulin sensitivities following 8-weeks of supervised exercise training. We studied 13 sedentary participants (5M/8F, 34.6 ± 3.1 years) and performed euglycemic hyperinsulinemic clamps with vastus lateralis muscle biopsies and peak aerobic activity (VO2 peak) tests before and after training. We extracted DNA from the muscle biopsies and performed global methylation using Illumina's Methylation EPIC 850K BeadChip.
2022-03-01 | E-MTAB-11282 | biostudies-arrayexpress
Project description:A total of 23 participants (data available in present submission and in GSE58608) completed three months of supervised aerobic exercise training of one leg. Skeletal muscle biopsies have been collected before and after the training period. We have investigated differences between trained and untrained leg and before and after training by studying the gene and isoform expression. Additional samples present in this study has been previously published (GEO accession number GSE58608).
2015-01-21 | GSE60590 | GEO
Project description:In the present study 23 participants completed three months of supervised aerobic exercise training of one leg (training period 1) followed by 9 months of rest before 12 of the participants completed a second exercise training period (training period 2) of three months of both legs. Skeletal muscle biopsies have been collected before and after the training periods. We have compared trained leg with untrained leg and studied gene and isoform expression. Additional samples included in this study has been previously submitted (GEO accession number GSE58387 and GSE60590). Analyze of transcriptome in skeletal muscle biopsy samples in response to exercise training in 23 participants in total (in addition to data previously submitted GEO accession number GSE58387 and GSE60590). Biopsy is collected from skeletal muscle before and after training period.
2016-08-14 | E-GEOD-60833 | biostudies-arrayexpress
Project description:A total of 23 participants (data available in present submission and in GSE58608) completed three months of supervised aerobic exercise training of one leg. Skeletal muscle biopsies have been collected before and after the training period. We have investigated differences between trained and untrained leg and before and after training by studying the gene and isoform expression. Additional samples present in this study has been previously published (GEO accession number GSE58608). Analysis of transcriptome in skeletal muscle biopsy samples in response to exercise training in 22 participants (of the total 23 participants). One biopsy is collected from each leg before and after training period.
2015-01-21 | E-GEOD-60590 | biostudies-arrayexpress
Project description:Low aerobic exercise capacity is a risk factor for diabetes and strong predictor of mortality; yet some individuals are exercise resistant, and unable to improve exercise capacity through exercise training. To test the hypothesis that resistance to aerobic exercise training underlies metabolic disease-risk, we used selective breeding for 15 generation to develop rat models of low- and high-aerobic response to training. Before exercise training, rats selected as low- and high-responders had similar exercise capacities. However, after 8-wks of treadmill training low-responders failed to improve their exercise capacity, while high-responders improved by 54%. Remarkably, low-responders to aerobic training exhibited pronounced metabolic dysfunction characterized by insulin resistance and increased adiposity, demonstrating that the exercise resistant phenotype segregates with disease risk. Low-responders had impaired exercise-induced angiogenes0is in muscle; however, mitochondrial capacity was intact and increased normally with exercise training, demonstrating that mitochondria are not limiting for aerobic adaptation or responsible for metabolic dysfunction in low-responders. Low-responders had increased stress/inflammatory signaling and altered TGFβ signaling, characterized by hyperphosphorylation of a novel exercise-regulated phosphorylation site on SMAD2. Using this powerful biological model system we have discovered key pathways for low exercise training response that may represent novel targets for the treatment of metabolic disease.
2014-05-23 | GSE57880 | GEO