Project description:We examined global mRNA expression using cDNA microarrays in skeletal muscle of humans before, and 3h and 48h after a single bout of exhaustive endurance exercise (cycling). Keywords: Time course
Project description:We examined global mRNA expression using cDNA microarrays in skeletal muscle of humans before, and 3h and 48h after a single bout of exhaustive endurance exercise (cycling). Keywords: Time course Healthy, non-trained university-aged subjects performed a single bout of exhaustive cycling. Skeletal muscle biopsies were taken from the vastus lateralis before, 3h and 48h after the exercise bout. Total RNA was extracted, amplified, reverse transcribed, and cDNA was analyzed on a custom made cDNA microarray. Four subjects were analyzed, and samples were not pooled between subjects (i.e. individual microarrays were used for baseline vs. 3H and baseline vs. 48h for EACH subject; repeated measures design).
Project description:Exercise stimulates systemic and tissue-specific adaptations that protect against lifestyle related diseases including obesity and type 2 diabetes. Exercise places high mechanical and energetic demands on contracting skeletal muscle, which require finely-tuned protein post-translational modifications involving signal transduction (e.g. phosphorylation) to elicit appropriate short- and long-term adaptive responses. To uncover the breadth of protein phosphorylation events underlying the adaptive responses to endurance exercise and skeletal muscle contraction, we performed global, unbiased mass spectrometry-based phosphoproteomic analyses of skeletal muscle from two rodent models, in situ muscle contraction in rats and treadmill-based endurance exercise in mice.
Project description:This SuperSeries is composed of the following subset Series: GSE18583: Baseline skeletal muscle gene expression GSE35659: A transcriptional map of the impact of endurance exercise training on skeletal muscle phenotype (resting muscle after endurance training) Refer to individual Series
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.
Project description:Short RNA sequncing was performed to determine the effects of endurance exercise training on miRNA expression in human skeletal muscle.
Project description:The participants performed 8 weeks of superised aerobic endurance exercise. Skeletal muscle biopsise were taken at rest before and after intervention and matched analysis was performed.