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1,884 results for “skeletal muscle”
Adiponectin receptor agonist AdipoRon improves skeletal muscle function in aged mice
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Effects of bedrest and hypoxia on human skeletal muscle miRNA expression
The present study concerns the effects of 21 days of sustained recumbence (bedrest) and hypoxia alone and in combination on skeletal muscle microRNA expression. 14 male subjects participated in 3 experimental campaigns in a counterbalanced fashion: normoxic bedrest (NBR) hypoxic bedrest (HBR) and hypoxic ambulatory confinement (HAMB) both hypoxic conditions with FO2 = 0.141 and PIO2 = 90 xc2 xb1 0.4 mmHg equivalent to an altitude of xe2 x89 x88 4000 m). Each intervention (bedrest or ambulatory confinement) lasted 21 days and the interventions were separated by a 4-month wash-out/recovery period. The order in which each subject undertook the interventions is denoted Intervention_order Throughout both bedrest interventions each subject remained in a horizontal position at all times. He was allowed one pillow for the head and to occasionally lean on an elbow while eating or being transferred to a gurney. Muscular exercise was prohibited. During the HAMB confinement each subject was allowed to move freely within the hypoxic area. To mimic a normal level of physical activity subjects performed 30 minutes of low-to-moderate-intensity exercise twice daily. Muscle samples from Vastus lateralis.
['"Molecular Transducers of Human Skeletal Muscle Remodeling under Different Loading States"']
['"The annotation of the Affymetrix HTA 2.0 array was updated to optimise the detection of RNA in human skeletal muscle biopsy samples by removing invalid and low signal-high-variance probes (as for CDF GPL24047). The probes were then summarized into groups (probe-sets) reflecting either an ensembl full transcript identifier (FL-ENST, GPL24047) or just the probes targeting the 3\' UTR or the 5\' UTR of that particular ENST. Therefore, 3 different CDF were used to process the HTA 2.0 arrays in this study. Note that each CEL file was GC adjusted using APT while our custom CDF pipeline removes any probe that has >80% or <20% GC content (~50,000). The analysis was carried out only on the pairs of probe-sets i.e. FL-ENST vs 3\'UTR or FL-ENST vs 5\'UTR or 3\'UTR vs 5\'UTR. Dynamic muscle loading alters tissue phenotype reflecting altered metabolic and functional demands. In humans, heterogeneous adaptation to loading complicates identification of the underpinning molecular regulators. We present a within-person analysis strategy that reduced heterogeneity for changes in muscle mass by ~40% and employed a genome-wide transcriptome method that modeled each mRNA from coding exons and 3’/5’ untranslated (UTR) regions. Our strategy detected ~3-4 times more regulated genes than similarly sized studies, including substantial UTR-selective regulation that other methods would not detect. We discovered a core of 141 genes correlated to muscle growth validated from newly analyzed independent samples (n=100). Further validating these identified genes, via RNAi in primary muscle cells, we demonstrate that members of the core genes were regulators of protein synthesis e.g. Molecular Transducers of Physical Activity in Humans MoTrPAC. Employing proteome-constrained networks and pathway analysis revealed notable relationships with the molecular characteristics of human muscle aging and insulin sensitivity, as well as potential drug-therapies."']
Woman skeletal muscle transcriptome with bed rest and countermeasures.
Microgravity has a dramatic impact on human physiology illustrated in particular with skeletal muscle impairment. A thorough understanding of the mechanisms leading to loss of muscle mass and structural disorders is necessary for the definition of efficient clinical and spaceflight countermeasures. We investigated the effects of long-term bed rest on transcriptome of soleus (SOL) and vastus lateralis (VL) muscles in healthy women (BRC group n=8) and the potential beneficial impact of protein supplementation (BRN group n=8) and of a combined resistance and aerobic training (BRE group n=8). Gene expression profiles were obtained using an in-house made microarray containing 6681 muscles-relevant genes. A two-class statistical analysis was applied on the 2103 genes with consolidated expression. We identified 472 and 207 modified genes respectively for SOL and VL in BRC group. Further clustering approaches identifying relevant biological mechanisms or pathways underlined five main subclusters. Three are composed almost of upregulated genes involved mainly in nucleic acid and protein metabolism and two composed almost of downregulated genes involved in energy metabolism. Exercise countermeasure demonstrated a drastic compensatory effect decreasing the number of differentially-expressed genes by 89 and 96% in SOL and VL. In contrast nutrition countermeasure had a moderate effect and decreased the number of differentially-expressed genes by 40 and 25% in SOL and VL. Our results allowed reporting a systematic global and comprehensive view of long-term woman muscle atrophy and brought new lights and insights for space environment and for women who undergo a long-term clinical bed rest. Biological samples were collected from Pre- and Post- bed rest (BR) soleus and vastus lateralis biopsies of each subject from the three groups (bed rest only: BRC; Exercise: BRE; Nutrition: BRN). six technical replicate values (2 duplicate hybridizations a et b to chips with triplicate spots xxx) were obtained for each skeletal muscle sample. Thus for each subject 12 expression measurements (6 before BR and 6 after BR) were obtained for each muscle.
['Insulin resistance induced by physical inactivity is associated with multiple transcriptional changes in skeletal muscle in young men']
['Physical inactivity is a risk factor for insulin resistance. We examined the effect of nine days of bed rest on basal and insulin stimulated expression of genes potentially involved in insulin action by applying hypothesis-generating microarray in parallel with candidate gene real-time PCR approaches in 20 healthy, young men. Furthermore, we investigated whether bed rest affected DNA methylation in the promoter region of the peroxisome proliferator-activated receptor gamma coactivator 1 alpha (PPARGC1A) gene. Subjects were re-examined after four weeks of retraining. Findings: Bed rest induced insulin resistance and altered the expression of more than 4,500 genes. These changes were only partly normalized after four weeks of retraining. Pathway analyses revealed significant down-regulation of 34 pathways, predominantly those of genes associated with mitochondrial function including PPARGC1A. Despite induction of insulin resistance, bed rest resulted in a paradoxically increased response to acute insulin in the general expression of genes, particularly those involved in inflammation and endoplasmatic reticulum (ER) stress. Furthermore, bed rest changed gene expressions of several insulin resistance and diabetes candidate genes. We also observed a trend toward increased PPARGC1A DNA methylation after bed rest. Conclusions: Impaired expression of PPARGC1A and other genes involved in mitochondrial function as well as a paradoxically increased response to insulin of genes involved in inflammation and ER stress may contribute to the development of insulin resistance induced by bed rest. Lack of complete normalization of changes after four weeks of exercise retraining underscores the importance of maintaining a minimum of daily physical activity.']
Effects of 21 days of bedrest on human skeletal muscle gene expression
The present study concerns the effects of 21 days of sustained recumbence (bedrest) on skeletal muscle gene expression. 14 male subjects participated in normoxic bedrest (NBR) with muscle unloading for 21 days this is a substudy of tha PlanHab-study which apart from normoxic bedrest also involved hypoxic bedrest and hypoxic ambulation. Throughout both bedrest interventions each subject remained in a horizontal position at all times. He was allowed one pillow for the head and to occasionally lean on an elbow while eating or being transferred to a gurney. Muscular exercise was prohibited. During the HAMB confinement each subject was allowed to move freely within the hypoxic area. To mimic a normal level of physical activity subjects performed 30 minutes of low-to-moderate-intensity exercise twice daily. Muscle samples from Vastus lateralis.
Total RNA sequencing in multiple Sus Scrofa tissues reveals novel long non-coding RNAs functioning in skeletal muscle development
GEO Series GSE73763. Sus scrofa. 13 samples. Type: Expression profiling by high throughput sequencing.
Chemical reprogramming of melanocytes to skeletal muscle cells
GEO Series GSE213195. Mus musculus. 5 samples. Type: Expression profiling by high throughput sequencing.
Porphyromonas gingivalis affects gene expression in skeletal muscle, soleus muscle
GEO Series GSE146635. Mus musculus. 8 samples. Type: Expression profiling by array.
Lifelong dietary protein restriction accelerates skeletal muscle loss and reduces muscle fibre size by impairing proteostasis and mitochondrial homeostasis
GEO Series GSE235750. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
The Skeletal Muscle Molecular Clock Regulates Sarcomere Length Through Titin Splicing [2]
GEO Series GSE189863. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
4C-seq experiment on mouse skeletal muscle and DP thymocytes
GEO Series GSE142516. Mus musculus. 5 samples. Type: Other.
MicroRNA-seq data of mouse during skeletal muscle regeneration after acute injury
GEO Series GSE141879. Mus musculus. 3 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Dynamics of the human skeletal muscle transcriptome in response to exercise training - part 2
GEO Series GSE60833. Homo sapiens. 68 samples. Type: Expression profiling by high throughput sequencing.
Histone Lactylation Antagonizes Senescence and Skeletal Muscle Aging by Modulating Aging-Related Pathways [snRNA-seq]
GEO Series GSE226007. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
Exercise promotes growth and vascularization of fast skeletal muscle by activating myogenic and angiogenic transcriptional programs in adult zebrafish
GEO Series GSE58929. Danio rerio. 16 samples. Type: Expression profiling by array.
Effect of Sirt6 deficiency on transcriptome in skeletal muscle of mice
GEO Series GSE186105. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Analysis of skeletal muscle gene expression upon mouse hindlimb unloading and reloading
GEO Series GSE237099. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
C57BL/6 mice: skeletal muscle-specific GDE5 (Gpcpd1)-deficient mice (Gde5 skKO mice)
GEO Series GSE262199. Mus musculus. 2 samples. Type: Expression profiling by array.
Dynamics of the human skeletal muscle transcriptome in response to exercise training
GEO Series GSE60591. Homo sapiens. 57 samples. Type: Expression profiling by high throughput sequencing.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.