Homo sapiens
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: E-GEOD-24235
PROVIDER: PRJNA132933 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The molecular mechanisms underlying the sex differences in human muscle morphology and function remain to be elucidated. The purpose of the study was to detect the sex differences in the skeletal muscle transcriptome in both the resting state and following anabolic stimuli, resistance exercise. We used microarrays to profile the transcriptome of the biceps brachii of young men and women who underwent an acute unilateral RE session following 12 weeks of progressive training. Bilateral muscle biopsies were obtained either at an early (4h post-exercise) or late recovery (24h post-exercise) time point. Muscle transcription profiles were compared in the resting state between men (n=6) and women (n=8), and in response to acute RE in trained exercised vs. untrained non-exercised control muscle for each sex and time point separately (4h post-exercise, n=3 males, n=4 females; 24h post-exercise, n=3 males, n=4 females). A logistic regression-based method (LRpath), following Bayesian moderated t-statistic (IMBT), was used to test gene functional groups and biological pathways enriched with differentially expressed genes.
2010-12-06 | E-GEOD-24235 | biostudies-arrayexpress
Project description:Skeletal muscle is a complex heterogeneous tissue comprised of diverse muscle fiber and non-fiber cell types that, in addition to movement, influences other systems such as immunity, metabolism and cognition. We investigated gene expression patterns of resident human skeletal muscle cells using both single-cell RNA-seq and RNA-seq of single muscle fiber dissections from vastus lateralis. We generated transcriptome profiles of the major multinucleated human skeletal muscle fiber-types as well as 11 human skeletal muscle mononuclear cell types, including immune, endothelial, pericyte and satellite cells. We delineated two fibro-adipogenic progenitor cell subtypes that may contribute to heterotopic ossification and muscular dystrophy fibrosis under pathological conditions. An important application of cell type signatures is for computational deconvolution of cell type specific gene expression changes using data from bulk transcriptome experiments. Analysis of transcriptome data from a 12 week resistance exercise training study using these human skeletal muscle cell-type signatures revealed significant changes in specific mononuclear cell-type proportions related to age, sex, acute exercise and training. This characterization of human skeletal muscle cell types will resolve cell-type specific changes in large-scale physical activity muscle transcriptome studies and can further the understanding of the diverse effects of exercise and the pathophysiology of muscle disease.
2020-02-01 | GSE130977 | 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:Skeletal muscle is a complex heterogeneous tissue comprised of diverse muscle fiber and non-fiber cell types that, in addition to movement, influences other systems such as immunity, metabolism and cognition. We investigated gene expression patterns of resident human skeletal muscle cells using single-cell RNA-seq of dissections from vastus lateralis. We generate transcriptome profiles of 11 mononuclear human skeletal muscle mononuclear cell types, including immune, endothelial, pericyte and satellite cells. We delineate two fibro-adipogenic progenitor cell subtypes that may contribute to heterotopic ossification and muscular dystrophy fibrosis under pathological conditions. An important application of cell type signatures is for computational deconvolution of cell type specific changes using data from bulk transcriptome experiments. Analysis of transcriptome data from a 12 week resistance training study using the human skeletal muscle cell-type signatures revealed significant changes in specific mononuclear cell-type proportions related to age, sex, acute exercise and training. This characterization of human skeletal muscle cell subtypes will resolve cell type specific changes in large-scale physical activity muscle transcriptome studies and can further the understanding of the diverse effects of exercise and the pathophysiology of muscle disease.
2020-01-16 | GSE130646 | GEO
Project description:Human skeletal muscle transcriptional response to exercise
| PRJNA140403 | ENA
Project description:High fat feeding is deleterious for skeletal muscle metabolism, while exercise has well documented beneficial effects for these same metabolic features. To identify the genomic mechanisms by which exercise ameliorates some of the deleterious effects of high fat feeding, we investigated the transcriptional and epigenetic response of human skeletal muscle to 9 days of a high-fat diet (HFD) alone (Sed-HFD) or in combination with resistance exercise (Ex-HFD), using genome-wide profiling of gene expression (by RNA-seq) and DNA methylation (by Reduced Representation Bisulfite Sequencing). HFD markedly induced expression of immune and inflammatory genes which was not attenuated by Ex. In contract, Ex markedly remodelled expression of genes associated with muscle growth and structure. We detected marked DNA methylation changes following HFD alone and in combination with Ex. Among the genes that showed significant association between DNA methylation changes and gene expression were glycogen phosphorylase, muscle associated (PYGM), which was epigenetically regulated in both groups, and angiopoiten like 4 (ANGPTL4), which was regulated only following Ex. We conclude that Short-term Ex does not prevent HFD-induced inflammatory response, but provokes a genomic response that may preserve skeletal muscle from atrophy. Epigenetic adaptation provides important mechanistic insight into the gene specific regulation of inflammatory and metabolic processes in human skeletal muscle.
2018-02-13 | GSE99963 | GEO
Project description:High fat feeding is deleterious for skeletal muscle metabolism, while exercise has well documented beneficial effects for these same metabolic features. To identify the genomic mechanisms by which exercise ameliorates some of the deleterious effects of high fat feeding, we investigated the transcriptional and epigenetic response of human skeletal muscle to 9 days of a high-fat diet (HFD) alone (Sed-HFD) or in combination with resistance exercise (Ex-HFD), using genome-wide profiling of gene expression (by RNA-seq) and DNA methylation (by Reduced Representation Bisulfite Sequencing). HFD markedly induced expression of immune and inflammatory genes which was not attenuated by Ex. In contract, Ex markedly remodelled expression of genes associated with muscle growth and structure. We detected marked DNA methylation changes following HFD alone and in combination with Ex. Among the genes that showed significant association between DNA methylation changes and gene expression were glycogen phosphorylase, muscle associated (PYGM), which was epigenetically regulated in both groups, and angiopoiten like 4 (ANGPTL4), which was regulated only following Ex. We conclude that Short-term Ex does not prevent HFD-induced inflammatory response, but provokes a genomic response that may preserve skeletal muscle from atrophy. Epigenetic adaptation provides important mechanistic insight into the gene specific regulation of inflammatory and metabolic processes in human skeletal muscle.
2018-02-13 | GSE99964 | GEO
Project description:Resistance Exercise Reverses Aging in Human Skeletal Muscle
| PRJNA101563 | ENA
Project description:Exercise is an effective strategy in the prevention and treatment of metabolic diseases. Alterations in the skeletal muscle proteome, including post-translational modifications, regulate its metabolic adaptations to exercise. Here, we examined the effect of high-intensity interval training (HIIT) on the proteome and acetylome of human skeletal muscle, revealing the response of 3168 proteins and 1263 lysine acetyl-sites on 464 acetylated proteins. We identified novel protein adaptations to exercise training involved in metabolism and excitation-contraction coupling. Furthermore, HIIT increased the acetylation of mitochondrial proteins, particularly those of complex V, likely via non-enzymatic mechanisms. We also highlight the regulation of novel exercise-responsive histone acetyl-sites. These data demonstrate the plasticity of the skeletal muscle proteome and acetylome, providing insight into the regulation of contractile, metabolic and transcriptional processes within skeletal muscle. Herein, we provide a substantial hypothesis-generating resource to stimulate further mechanistic research investigating how exercise improves metabolic health.
2022-06-09 | PXD023084 | Pride
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