Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Rehabilitative Impact of Exercise Training on Human Skeletal Muscle Transcriptional Programs in Parkinson’s Disease

ABSTRACT: We performed transcriptional profiling to test the hypotheses that a) type I myofiber grouping severity in Parkinson's disease skeletal muscle is linked to distinct gene expression networks and b) high-intensity resistance exercise rehabilitation training influences the skeletal muscle transcriptome in individuals with Parkinson's disease.

ORGANISM(S): Homo sapiens

PROVIDER: GSE140089 | GEO | 2020/05/20

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Cluster analysis reveals differential transcript profiles associated with resistance training-induced human skeletal muscle hypertrophy

Project description:Overall, the widely disparate transcriptomes identified prior to RT among the three clusters support the notion that at least some of the inter-individual heterogeneity in propensity for RT-induced myofiber hypertrophy is likely pre-determined. Baseline comparisons of skeletal muscle transcript profiles from 44 subjects previously clustered (K-means cluster analysis) as non-, modest-, and extreme-responders (Non, n=15; Mod, n=14; Xtr, n=15) based on the magnitudes of change in vastus lateralis myofiber cross-sectional area (CSA) following 16-wk, 3-d/wk, high-intensity RT.

2013-05-24 | E-GEOD-42507 | biostudies-arrayexpress

A transcriptional map of the impact of endurance exercise training on skeletal muscle phenotype

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

2012-02-10 | E-GEOD-35661 | biostudies-arrayexpress

Exercise Training Effects on Human Skeletal Muscle DNA Methylation

Project description:This study aimed to determine skeletal muscle DNA methylation changes in a cohort of volunteers with a range of insulin sensitivities following 8-weeks of supervised exercise training. We studied 13 sedentary participants (5M/8F, 34.6 ± 3.1 years) and performed euglycemic hyperinsulinemic clamps with vastus lateralis muscle biopsies and peak aerobic activity (VO2 peak) tests before and after training. We extracted DNA from the muscle biopsies and performed global methylation using Illumina's Methylation EPIC 850K BeadChip.

2022-03-01 | E-MTAB-11282 | biostudies-arrayexpress

Effect of ATF4 overexpression on mouse skeletal muscle mRNA levels

Project description:Fasting increases the level of skeletal muscle ATF4 mRNA, which promotes skeletal myofiber atrophy. To begin to determine the mechanism of ATF4-mediated myofiber atrophy, we compared the effects of fasting and ATF4 overexpression on global skeletal muscle mRNA expression in C57BL/6 mice.

2010-01-30 | GSE20101 | GEO

Effect of fasting on mouse skeletal muscle mRNA levels

2010-01-30 | GSE20103 | GEO

Signaling response to personalized exercise therapy in skeletal muscle from heart failure patients with reduced ejection fraction.

Project description:In chronic heart failure (CHF), functional and metabolic alterations are detected not only in cardiac muscle but also in skeletal muscle tissue. The molecular mechanisms responsible for muscle dysfunction in patients with CHF remain unknown as well as the biological processes responsible for the positive effect of physical exercise training. In this work, using the results of transcriptome sequencing (3' mRNA-Seq), authors identify the molecular mechanisms responsible for reducing muscle dysfunctions in patients with CHF undergoing a personalized program of physical rehabilitation. 3 patients with CHF were enrolled in the study, biopsies of gastrocnemius muscle were taken before and after 12 weeks of individual training program (intensity was determined at 90% of lactate inflection point). Analysis of RNA-Seq data shows the strong upregulation of pathways that control skeletal muscle cell differentiation, muscle contraction, recovery of membrane potential.

2019-12-04 | GSE134698 | GEO

The secreted factor TSK maintains slow-twitch myofiber integrity and exercise endurance and contributes to muscle regeneration

Project description:Mammalian skeletal muscle contains heterogenous myofibers with different contractile and metabolic properties that sustain muscle mass and endurance capacity. The transcriptional regulators that govern these myofiber gene programs have been elucidated. However, the hormonal cues that direct the specification of myofiber types and muscle endurance remain largely unknown. Here we uncover the secreted factor Tsukushi (TSK) as an extracellular signal that is required for maintaining muscle mass, strength, and endurance capacity, and contributes to muscle regeneration. Mice lacking TSK exhibited reduced grip strength and impaired exercise capacity. Muscle transcriptomic analysis revealed that TSK deficiency results in a remarkably selective impairment in the expression of myofibrillar genes characteristic of slow-twitch muscle fibers that is associated with abnormal neuromuscular junction formation. AAV-mediated overexpression of TSK failed to rescue these myofiber defects in adult mice, suggesting that the effects of TSK on myofibers are likely restricted to certain developmental stages. Finally, mice lacking TSK exhibited diminished muscle regeneration following cardiotoxin-induced muscle injury. These findings support a crucial role of TSK as a hormonal cue in the regulation of contractile gene expression, endurance capacity, and muscle regeneration.

2022-01-08 | GSE193089 | GEO

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

Project description:In the present study 23 participants completed three months of supervised aerobic exercise training of one leg (training period 1) followed by 9 months of rest before 12 of the participants completed a second exercise training period (training period 2) of three months of both legs. Skeletal muscle biopsies have been collected before and after the training periods. We have compared trained leg with untrained leg and studied gene and isoform expression. Additional samples included in this study has been previously submitted (GEO accession number GSE58387 and GSE60590). Analyze of transcriptome in skeletal muscle biopsy samples in response to exercise training in 23 participants in total (in addition to data previously submitted GEO accession number GSE58387 and GSE60590). Biopsy is collected from skeletal muscle before and after training period.

2016-08-14 | E-GEOD-60833 | biostudies-arrayexpress

Skeletal Muscle Transcriptomic Responses to Chronic Concurrent Exercise Training

Project description:Combining resistance and endurance exercises in a training regime (concurrent training) can impair improvements in muscle hypertrophy, strength, and power compared to resistance training alone. Here we aimed to characterize skeletal muscle transcriptomic changes following chronic concurrent training to determine whether contraction-induced gene expression may reveal molecular underpinnings explaining impaired adaptations. Eighteen young, healthy male participants underwent 12 weeks of resistance, endurance, or concurrent training. Maximal strength, aerobic capacity, and anaerobic power were assessed. Transcriptomics were performed on skeletal muscle biopsies obtained pre and post-intervention. Improvements to maximal anaerobic power are impaired with concurrent and endurance training. Gene expression related to plasma membrane structures was enriched while gene expression related to regulation of mRNA processing and protein degradation was suppressed with concurrent training. Considerable overlap of gene expression related to extracellular matrix remodeling was observed between concurrent and endurance training. Our results provide the first comprehensive comparison of unique and overlapping gene sets enriched following chronic resistance, endurance, and concurrent training, and reveals pathways that may have implications in relation to impaired adaptations when undertaking concurrent training.

2023-04-01 | GSE137832 | GEO

Mild exercise training favorably modulates gene expression in human skeletal muscle

Project description:Changes and plasticity in both gene expression and protein signaling in skeletal muscle is considered to be a major cause of metabolic syndrome, while it has been shown that mild exercise training at lactate threshold (LT) intensity is a safe and effective for prevention of metabolic syndrome. To elucidate the molecular mechanisms related to the beneficial effects of LT training for 60 min/day for 5 days/wk for 12 wk, we performed serial analysis of gene expression (SAGE) to examine global mRNA expression in human skeletal muscle. Approximately 57000 SAGE tags were analyzed for before training, as well as 5 days, 6 and 12 wk after the training. The LT training has coordinately induced many genes involved in mitochondrial energy metabolism, fat oxidation, glycolysis and creatine metabolism. Another molecular feature associated with this mild exercise regimen has been an induction of many genes encoding for potent antioxidant enzymes and molecular chaperons. Furthermore, the training modulated the expression levels of 233 novel transcripts. Thus, the current study reveals that LT exercise has favorably altered gene expression in human skeletal muscle to the prevention of metabolic syndrome. Keywords: transcriptome, serial analysis of gene expression, metabolic syndrome, exercise training, lactate threshold

2006-09-09 | GSE5792 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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