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E-GEOD-60590

ABSTRACT: Dynamics of the human skeletal muscle transcriptome in response to exercise training - part 1

OTHER RELATED OMICS DATASETS IN: PRJNA259207PRJNA258598PRJNA258599PRJNA253013

PROVIDER: E-GEOD-60590 | ExpressionAtlas | 2019-05-14

REPOSITORIES: ExpressionAtlas

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			Action	DRS
	E-GEOD-60590-analysis-methods.tsv	Tabular
	E-GEOD-60590-analytics.tsv	Tabular
	E-GEOD-60590-analytics.tsv.undecorated	Tabular
	E-GEOD-60590-analytics.tsv.undecorated.unrounded	Tabular
	E-GEOD-60590-analytics.tsv.unrounded	Tabular

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Project description:Dynamics of the human skeletal muscle transcriptome in response to exercise

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Next Generation Sequencing Transcriptomic Analysis (RNA-seq) of Thoroughbred horse at rest, after exercise and after training

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.

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Dynamics of the human skeletal muscle transcriptome in response to exercise training

Project description:Dynamics of the human skeletal muscle transcriptome in response to exercise training

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Human skeletal muscle transcriptome responses to differentiated exercise

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.

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Homo sapiens

Project description:Human skeletal muscle transcriptional response to exercise

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Homo sapiens

Project description:Dynamics of the human skeletal muscle transcriptome in response to exercise training - part 2

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Project description:Dynamics of the human skeletal muscle transcriptome in response to exercise training - part 1

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Human skeletal muscle biopsies from a 3h IL-6 infusion

Project description:Skeletal muscle has been identified as a secretory organ. We hypothesized that IL-6, a cytokine secreted from skeletal muscle during exercise, could induce production of other secreted factors in skeletal muscle. Keywords: Human skeletal muscle time course response to IL-6 infusion

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Isolated fiber-type transcriptional profiles in human skeletal muscle

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.

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