Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA232469 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Background: Exercise has a positive effect on overall health. This study was performed to get an overview of the effects of mixed exercise training on skeletal muscl 18 middle-aged men performed 12 weeks of exercise training (2x endurance training and 1x resistance training), muscle biopsies were taken at baseline and 3 days after the last training session
2013-12-24 | E-GEOD-53598 | biostudies-arrayexpress
Project description:Mild exercise training favorably modulates gene expression in human skeletal muscle
| PRJNA97153 | ENA
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:Short RNA sequncing was performed to determine the effects of endurance exercise training on miRNA expression in human skeletal muscle.
2021-09-08 | GSE127187 | GEO
Project description:Background: Exercise has a positive effect on overall health. This study was performed to get an overview of the effects of mixed exercise training on skeletal muscl
2013-12-24 | GSE53598 | GEO
Project description:Skeletal muscle plays an important role in the health-promoting effects of exercise training, yet the underlying mechanisms are not fully elucidated. Proteomics of skeletal muscle is challenging due to presence of non-muscle tissues and existence of different fiber types confounding the results. This can be circumvented by analysis of pure fibers; however this requires isolation of fibers from fresh tissues. We developed a workflow enabling proteomics analysis of isolated muscle fibers from freeze-dried muscle biopsies and identified >4000 proteins. We investigated effects of exercise training on the pool of slow and fast muscle fibers. Exercise altered expression of >500 proteins irrespective of fiber type covering several metabolic processes, mainly related to mitochondria. Furthermore, exercise training altered proteins involved in regulation of post-translational modifications, transcription, Ca++ signaling, fat, and glucose metabolism in a fiber type-specific manner. Our data serves as a valuable resource for elucidating molecular mechanisms underlying muscle performance and health. Finally, our workflow offers methodological advancement allowing proteomic analyses of already stored freeze-dried human muscle biopsies.
2020-12-21 | PXD012824 | Pride
Project description:Changes and plasticity in both gene expression and protein signaling in skeletal muscle is considered to be a major cause of metabolic syndrome, while it has been shown that mild exercise training at lactate threshold (LT) intensity is a safe and effective for prevention of metabolic syndrome. To elucidate the molecular mechanisms related to the beneficial effects of LT training for 60 min/day for 5 days/wk for 12 wk, we performed serial analysis of gene expression (SAGE) to examine global mRNA expression in human skeletal muscle. Approximately 57000 SAGE tags were analyzed for before training, as well as 5 days, 6 and 12 wk after the training. The LT training has coordinately induced many genes involved in mitochondrial energy metabolism, fat oxidation, glycolysis and creatine metabolism. Another molecular feature associated with this mild exercise regimen has been an induction of many genes encoding for potent antioxidant enzymes and molecular chaperons. Furthermore, the training modulated the expression levels of 233 novel transcripts. Thus, the current study reveals that LT exercise has favorably altered gene expression in human skeletal muscle to the prevention of metabolic syndrome. Keywords: transcriptome, serial analysis of gene expression, metabolic syndrome, exercise training, lactate threshold
2006-09-09 | GSE5792 | GEO
Project description:Time and Exercise effects on Human Skeletal Muscle
| PRJNA90403 | ENA
Project description:A single bout of exercise induces changes in gene expression in skeletal muscle. Regular exercise results in an adaptive response involving changes in muscle architecture and biochemistry, and is an effective way to manage and prevent common human diseases such as obesity, cardiovascular disorders and type II diabetes. Our study is a transcriptome-wide analysis of skeletal muscle tissue in a large cohort of untrained Thoroughbred horses before and after a bout of high-intensity exercise and again after an extended period of training. We hypothesized that regular high-intensity exercise training primes the transcriptome for the demands of high-intensity exercise.
2018-08-07 | E-MTAB-5447 | biostudies-arrayexpress
Project description:Background: Cold acclimation and exercise training were previously shown to increase peripheral insulin sensitivity in human volunteers with type 2 diabetes. Although cold is a potent activator of brown adipose tissue, the increase in peripheral insulin sensitivity by cold is largely mediated by events occurring in skeletal muscle and at least partly involves GLUT4 translocation, as is also observed for exercise training. Results: To investigate if cold acclimation and exercise training overlap in the molecular adaptive response in skeletal muscle, we performed transcriptomics analysis on vastus lateralis muscle collected from human subjects before and after 10 days of cold acclimation, as well as before and after a 12-week exercise training intervention. Methods: Cold acclimation altered the expression of 756 genes (422 up, 334 down, P<0.01), while exercise training altered the expression of 665 genes (444 up, 221 down, P<0.01). Principal Component Analysis, Venn diagram, similarity analysis and Rank–rank Hypergeometric Overlap all indicated significant overlap between cold acclimation and exercise training in upregulated genes, but not in downregulated genes. Overlapping gene regulation was especially evident for genes and pathways associated with extracellular matrix remodeling. Interestingly, the genes most highly induced by cold acclimation were involved in contraction and in signal transduction between nerve and muscle cells, while no significant changes were observed in genes and pathways related to insulin signaling or glucose metabolism. Conclusions: Overall, our results indicate that cold acclimation and exercise training have overlapping effects on gene expression in human skeletal muscle, but strikingly these overlapping genes are designated to pathways related to cell remodeling rather than metabolic pathways.
2020-08-18 | GSE156247 | GEO