Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Next Generation Sequencing Facilitates Quantitative Analysis of SCs in mice exposure to exercise

ABSTRACT: Purpose:To identify genes and the molecular pathways involved in the regulation of muscle satellite cells (SCs) in mice exposure to running exercise, we performed RNA-Sequence of SCs in untrained (Con) and trained mice (Exe). Methods: mRNA profiles of SCs in untrained (Con) and trained mice (Exe) (running exercise, 4 days/week, 30 min/day at 12 m/min) were generated by deep sequencing, in quadruplicate, using Illumina HiSeq 2000. Results:Using an optimized data analysis workflow, we mapped about 9 million sequence reads per sample to the mouse genome (build mm10) and identified 9031 transcripts in SCs (the control and exercise group) with BWA workflow. Conclusions: Our results represent the first detailed analysis of SCs transcriptomes in mice exposure to running exercise and found that exercise regulated multiple mRNA pathways in SCs.

ORGANISM(S): Mus musculus

PROVIDER: GSE128651 | GEO | 2020/06/08

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Human skeletal muscle transcriptional response to exercise

Project description:The aim of this investigation was to evaluate the effect of training on the global transcriptional response of skeletal muscle to an acute bout of resistance exercise. Seven young healthy men and women underwent a 12-week supervised progressive unilateral arm resistance exercise (RE) training program. One week after the last session of training, subjects performed an acute bout of bilateral arm RE in which the trained and the untrained arm exercised at the same relative intensity. A muscle biopsy was obtained 4h post exercise from the biceps brachii of the trained and untrained arm. Trained and untrained muscle samples were analyzed for mRNA levels of over 20,000 annotated genes using Affymetrix U133 Plus 2.0 microarrays.

2011-12-15 | E-GEOD-28998 | biostudies-arrayexpress

Contractile activity-specific transcriptome response to acute endurance exercise and training in human skeletal muscle

Project description:In our study, we investigated for contractile activity-specific changes in the transcriptome in untrained and trained (after an aerobic training programme) human skeletal muscle. The second goal was to examine effect of aerobic training on gene expression in muscle at baseline (after long term training). Seven untrained males performed the one-legged knee extension exercise (for 60 min) with the same relative intensity before and after a 2 month aerobic training programme (1 h/day, 5/week). Biopsy samples were taken at rest (baseline condition, 48 h after exercise), 1 and 4 h after the one-legged exercise from m. vastus lateralis of either leg. Comparison of gene expression in exercised leg with that in non-exercised [control] leg allowed us to identify contractile activity-specific genes in both untrained and trained skeletal muscle, i.e., genes that play a key role in adapting to acute exercise, regardless of the level of fitness. RNA-sequencing (84 samples in total; ~47 million reads/sample) was performed by NextSeq 500 and HiSeq 2500 (Illumina). Two months aerobic training increased the aerobic capacity of the knee-extensor muscles (power at anaerobic threshold in the incremental one-legged and cycling tests), the maximum rate of ADP-stimulated mitochondrial respiration in permeabilized muscle fibres and amounts of oxidative phosphorylation proteins. Contractile activity-specific changes in the transcriptome in untrained and trained human skeletal muscle were revealed for the first time. After 2 month aerobic training, transcriptome responses specific for contractile activity in trained muscle substantially decreased relative to those in untrained muscle. We found out that adaptation of skeletal muscle to regular exercise is associated not only with a transient change in the transcriptome after each stress (acute exercise), but also with a marked change in baseline expression of many genes after repeated stress (e.g., long term training).

2019-02-16 | GSE120862 | GEO

Muscle-specific cellular and molecular adaptations to late-life voluntary concurrent exercise in mice [NovoGene]

Project description:Aged mice (22-24 mo) underwent Progressive weighted wheel running (PoWeR) for 8 weeks. RNA-seq on soleus and plantaris muscles was conducted on untrained and PoWeR trained mice. RNA from soleus and plantaris of young mice (4-6 months old) was used as a comparator (Englund et al. 2021 Function)

2022-12-01 | GSE198652 | GEO

Profiling carbonylated proteins in heart and skeletal muscle mitochondria from trained and untrained mice

Project description:Understanding the relationship between physical exercise, reactive oxygen species and skeletal muscle modification is important in order to better identify the benefits or the damages that appropriate or inappropriate exercise can induce. Heart and skeletal muscles have a high density of mitochondria with robust energetic demands and mitochondria plasticity has an important role in both cardiovascular system and skeletal muscle responses. The aim of this study was to investigate the influence of regular physical activity on oxidation profiles of mitochondrial proteins from heart and tibialis anterior muscles. To this end, we used mouse as animal model. Mice were divided in two groups: untrained and regularly trained. The carbonylated protein pattern was studied by two-dimensional gel electrophoresis followed by Western Blot with anti-dinitrophenyl hydrazone antibodies. Mass spectrometry analysis allowed the identifications of several different protein oxidation sites including methionine, cysteine, proline and leucine residues. A large number of oxidized protein were found in both untrained and trained animals. Moreover, mitochondria from skeletal muscles and heart showed almost the same carbonylation pattern. Interestingly, exercise training seems to increase carbonylation level mostly of mitochondrial protein from skeletal muscle.

2022-02-24 | PXD003982 | Pride

Regular physical activity followed by detraining increases the sensitivity of global gene expression to acute exercise stress

Project description:To determine the influence of a previous physcial activity period (e.g., exercise) on global gene expression, we compared differential expression in sedentary (SED) and detrained (DETR) rats relative to trained (TR) rats with regular access to physcial activity. TR and DETR rats had voluntary access to caged running wheels for 8 and 4 weeks, respectively. DETR rats were moved to sedentary conditions (normal cage activity) for another 4 weeks. SED rats experienced 8 weeks of normal caged activity; n=8 per group. At the end of each group's respective 8 weeks, all rats underwent 1 hr of moderate of acute exercise stress (e.g., forced wheel running at a speed of 20 m/min). Soleus muscles were harvested 24h post-running.

2016-04-05 | E-GEOD-79894 | biostudies-arrayexpress

Hypoxic endurance exercise in an untrained or six weeks trained state

Project description:Time course of mRNA after 30 minutes of endurance exercise at simulated altitude of 4000 m in an untrained or six weeks trained state of six subjects.

2009-11-16 | GSE13623 | GEO

Hypoxic endurance exercise in an untrained or six weeks trained state

Project description:Time course of mRNA after 30 minutes of endurance exercise at simulated altitude of 4000 m in an untrained or six weeks trained state of six subjects. Time course of mRNA after 30 minutes of endurance exercise at simulated altitude of 4000 m in an untrained (1) or six weeks trained state (2) of six subjects (Hoxxx) Ho981: (1) GSM343213, GSM343214, GSM343215, GSM343216; (2) GSM343217, GSM343218, GSM343219, GSM343220 Ho982: (1) GSM343221, GSM343222, GSM343223, GSM343224; (2) GSM343225, GSM343226, GSM343227, GSM343228 Ho984: (1) GSM343229, GSM343230, GSM343231, GSM343232; (2) GSM343233, GSM343234, GSM343235, GSM343236 Ho994: (1) GSM343237, GSM343238, GSM343239, GSM343240; (2) GSM343241, GSM343242, GSM343243, GSM343244 Ho998: (1) GSM343245, GSM343246, GSM343247, GSM343248; (2) GSM343249, GSM343250, GSM343251, GSM343252 Ho996: (1) GSM343253, GSM343254, GSM343255, GSM343256 Keywords: time-course

2009-11-15 | E-GEOD-13623 | biostudies-arrayexpress

Epigenetic control of training adaptation in skeletal muscle

Project description:Skeletal muscle has an enormous plastic potential and adapts to various stimuli such as mechanical stress, nutrients and hormones. While morphological changes observed in endurance trained muscles are well described, the molecular underpinnings of training adaptation is poorly understood. Therefore, the aim of our study was to define the molecular signature of a trained muscle and unravel the transcriptional responses of untrained and trained muscles to an acute bout of endurance exercise. Our results reveal that even though at baseline, the transcriptome of trained and untrained muscles is very similar, training status substantially affects the transcriptional response to an acute challenge, both quantitatively and qualitatively. Therefore, we provide novel insights into the complex molecular processes that are induced in response to exercise in a temporal- and training status-dependent manner. In addition, our study reveals that the epigenetic landscape contributes to the transcriptional memory of a trained muscle.

2023-08-04 | GSE221831 | GEO

Transcriptional control of training adaptation in skeletal muscle

2023-08-04 | GSE221210 | GEO

Transcription profiling of mouse overexpressing MHC-I after endurance training

Project description:Myosine heavy chain I was overexpressed in mouse skeletal muscle. The transgenic mice, as well as the wild type mice, were endurance trained on treadmill for 5 days/week over 8 weeks at 80% peak aerobic capacity in comparison with untrained mice. The gene expression profiles of the skeletal muscles from wild-type trained (WTT) and untrained (WTUT), and transgenic trained (TGT) and untrained (TGUT) were measured using Affymetrix Mouse430A 2.0 GeneChips. Experiment Overall Design: There were 5 WTT, 5 WTUT, 5 TGT, and 5 TGUT mice used in microarray studies.

2008-06-13 | E-GEOD-5297 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data