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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 | 2025-01-24

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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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.

2018-08-07 | E-MTAB-5447 | biostudies-arrayexpress

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

| PRJNA258598 | ENA

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.

2014-11-19 | GSE59088 | GEO

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