Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA208236 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Gene expression profile of skeletal muscle in response to resistance exercise
2025-01-24 | E-GEOD-24235 | ExpressionAtlas
Project description:Dynamics of the human skeletal muscle transcriptome in response to exercise training - part 1
2025-01-24 | E-GEOD-60590 | ExpressionAtlas
Project description:The aim of this work was to produce a reproducible molecular signature of human muscle responses to resistance training and examine how such a profile relates to new and established exercise adaptation gene networks. Subjects were recruited from an age range of 18 to 75 y. Before beginning the study all subjects were screened using a medical questionnaire, physical examination and resting ECG with exclusions for overt muscle wasting (>2 SD below age norms)[85], metabolic, respiratory/cardiovascular disorders or other major contraindications to a healthy status. All subjects had normal blood chemistry and were normotensive (BP <140/90). All subjects performed routine activities of daily living and recreation but did not participate in moderate to high intensity aerobic exercise and none had participated in RET in the last 24 months. Body composition was measured at screening and following RET by dual energy X-ray absorptiometry (DEXA) (Lunar Prodigy II, GE Medical Systems). Subject positioning on the DEXA bed was optimized to allow the region of interest (ROI) body compartments to be analyzed separately. The upper leg ROI was selected as the area inferior to the lowest visible point of the coccyx to the mid-point of the patella. The dataset comprises 44 pre-exercise and 44 post-exercise samples. In addition there is a baseline sample NB021_pre-training (D13_NB021F). Therefore there are 89 samples in total. (Note: Singleton baseline sample NB021_pre-training was normalized only using all baseline samples.) Derby dataset.
2013-06-12 | E-GEOD-47881 | biostudies-arrayexpress
Project description:Transcription profiling of human leg muscle subjected to different exercise regimens
2025-01-22 | E-MEXP-740 | ExpressionAtlas
Project description:Resistance Exercise Reverses Aging in Human Skeletal Muscle
| PRJNA101563 | ENA
Project description:Both sleep loss and exercise regulate gene expression in skeletal muscle, yet little is known about how the interaction of these stressors affects the transcriptome. The aim of this study was to investigate the effect of nine nights of sleep restriction, with repeated resistance exercise (REx), on the skeletal muscle transcriptome of young, trained females.
2025-04-12 | GSE263838 | GEO
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.
2020-02-01 | GSE130977 | GEO
Project description:An integrative analysis of skeletal muscle insulin resistance
2025-01-23 | E-MTAB-3420 | ExpressionAtlas
Project description:Exercise training increases endurance by inducing global gene expression changes in skeletal muscles. The extent to which the genetic effects of exercise can be mimicked by synthetic drugs is unknown. We measured global skeletal muscle expression in sedentary and exercised mice treated with vehicle or PPARdelta ligand GW1516. PPARdelta is a transcriptional regulator of muscle oxidative metabolism and fatigue resistance. Keywords: Pharmacology study
2008-06-18 | GSE11803 | GEO
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