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1,884
datasets available to search
ShareScore release 0.9.0
Dataset results
1,884 results for “skeletal muscle”
Skeletal muscle gene expression from P301L tau expressing mice using NanoString
GEO Series GSE248201. Mus musculus. 80 samples. Type: Expression profiling by high throughput sequencing; Other.
The Fosl1-Kdm6b Axis Controls Skeletal Muscle Fibrosis by Regulating Histone H3K27me3 [scRNA-seq]
GEO Series GSE275141. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
Cellular senescence in skeletal muscle aging: new mechanisms and therapeutic potential for sarcopenia [cut&run_seq_IMR90]
GEO Series GSE268431. Homo sapiens. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Differential Expression of Skeletal Muscle Genes Following Admnistration of Clenbuterol to Exercised Horses
GEO Series GSE79559. Equus caballus. 18 samples. Type: Expression profiling by array.
Characterization of the role of SETDB1 in Muscle stem cells during skeletal muscle regeneration [ATAC-seq]
GEO Series GSE233393. Mus musculus. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Skeletal muscle after fine needle stimulation
GEO Series GSE8911. Rattus norvegicus. 2 samples. Type: Expression profiling by array.
Effect of SIRT7 deletion on gene expression during skeletal muscle regeneration
GEO Series GSE290029. Mus musculus. 7 samples. Type: Expression profiling by high throughput sequencing.
Blood and skeletal muscle gene signatures of exercise training in men (Total blood data set G1)
GEO Series GSE111553. Homo sapiens. 44 samples. Type: Expression profiling by array.
Gene expression of Skeletal muscle in Tacrolimus-Induced Post-transplantation Diabetes Mellitus model
GEO Series GSE140691. Rattus norvegicus. 6 samples. Type: Expression profiling by array.
Gene expression profiling of porcine skeletal muscle satellite cells after challenge with poly I:C
GEO Series GSE112527. Sus scrofa. 21 samples. Type: Expression profiling by high throughput sequencing.
Effect of denervation on mouse skeletal muscle mRNA levels.
GEO Series GSE39195. Mus musculus. 8 samples. Type: Expression profiling by array.
Targeting microRNA-mediated gene repression limits the adipogenic conversion of skeletal muscle mesenchymal stromal cells
GEO Series GSE171505. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing; Other.
Gene expression data of mRNA from skeletal muscle sample of pig DL and Pi breed
GEO Series GSE38518. Sus scrofa. 24 samples. Type: Expression profiling by array.
Contribution of skeletal muscle-specific microRNA to insulin resistance in heart failure
GEO Series GSE207121. Mus musculus. 6 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Exercise alleviates cognitive dysfunction in Alzheimer’s disease mice via skeletal muscle-derived extracellular vesicles which enhance plaque clearance by microglia [miRNA-Seq]
GEO Series GSE313456. Mus musculus. 4 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Transforming growth factor beta-like stimulated clone 22 D4 promotes diabetic hyperglycemia and insulin resistance [skeletal muscle]
GEO Series GSE53754. Mus musculus. 12 samples. Type: Expression profiling by array.
The Fosl1-Kdm6b Axis Controls Skeletal Muscle Fibrosis by Regulating Histone H3K27me3 [Cut&Tag]
GEO Series GSE275142. Mus musculus. 24 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Data Set from Renna LV, Bosè F, Brigonzi E, Fossati B, Meola G, Cardani R. Aberrant insulin receptor expression is associated with insulin resistance and skeletal muscle atrophy in myotonic dystrophies. PLoS One. 2019 Mar 22;14(3):e0214254. doi: 10.1371/journal.pone.0214254. PMID: 30901379; PMCID: PMC6430513.
<p>Data Set from Renna LV, Bosè F, Brigonzi E, Fossati B, Meola G, Cardani R. Aberrant insulin receptor expression is associated with insulin resistance and skeletal muscle atrophy in myotonic dystrophies. PLoS One. 2019 Mar 22;14(3):e0214254. doi: 10.1371/journal.pone.0214254. PMID: 30901379; PMCID: PMC6430513.</p> <p> </p> <p>This is the abstact:</p> <p>Myotonic dystrophy type 1 (DM1) and type 2 (DM2) are autosomal dominant multisystemic disorders linked to two different genetic loci and characterized by several features including myotonia, muscle atrophy and insulin resistance. The aberrant alternative splicing of insulin receptor (IR) gene and post-receptor signalling abnormalities have been associated with insulin resistance, however the precise molecular defects that cause metabolic dysfunctions are still unknown. Thus, the aims of this study were to investigate in DM skeletal muscle biopsies if beyond INSR missplicing, altered IR protein expression could play a role in insulin resistance and to verify if the lack of insulin pathway activation could contribute to skeletal muscle wasting. Our analysis showed that DM skeletal muscle exhibits a lower expression of the insulin receptor in type 1 fibers which can contribute to the defective activation of the insulin pathway. Moreover, the aberrant insulin signalling activation leads to a lower activation of mTOR and to an increase in MuRF1 and Atrogin-1/MAFbx expression, possible explaining DM skeletal muscle fiber atrophy. Taken together our data indicate that the defective insulin signalling activation can contribute to skeletal muscle features in DM patients and are probably linked to an aberrant specific-fiber type expression of the insulin receptor.</p>
Data set from Bosè F, Renna LV, Fossati B, Arpa G, Labate V, Milani V, Botta A, Micaglio E, Meola G, Cardani R. TNNT2 Missplicing in Skeletal Muscle as a Cardiac Biomarker in Myotonic Dystrophy Type 1 but Not in Myotonic Dystrophy Type 2. Front Neurol. 2019 Sep 27;10:992. doi: 10.3389/fneur.2019.00992. PMID: 31611837; PMCID: PMC6776629.
<p>Data set from Bosè F, Renna LV, Fossati B, Arpa G, Labate V, Milani V, Botta A, Micaglio E, Meola G, Cardani R. TNNT2 Missplicing in Skeletal Muscle as a Cardiac Biomarker in Myotonic Dystrophy Type 1 but Not in Myotonic Dystrophy Type 2. Front Neurol. 2019 Sep 27;10:992. doi: 10.3389/fneur.2019.00992. PMID: 31611837; PMCID: PMC6776629.</p> <p> </p> <p>This is the abstract:</p> <p> </p> <p>Cardiac involvement is one of the most important manifestations of the multisystemic phenotype of patients affected by myotonic dystrophy (DM) and represents the second cause of premature death. Molecular mechanisms responsible for DM cardiac defects are still unclear; however, missplicing of the cardiac isoform of troponin T (<em>TNNT2</em>) and of the cardiac sodium channel (<em>SCN5A</em>) genes might contribute to the reduced myocardial function and conduction abnormalities seen in DM patients. Since, in DM skeletal muscle, the <em>TNNT2</em> gene shows the same aberrant splicing pattern observed in cardiac muscle, the principal aim of this work was to verify if the <em>TNNT2</em> aberrant fetal isoform expression could be secondary to myopathic changes or could reflect the DM cardiac phenotype. Analysis of alternative splicing of <em>TNNT2</em> and of several genes involved in DM pathology has been performed on muscle biopsies from patients affected by DM type 1 (DM1) or type 2 (DM2) with or without cardiac involvement. Our analysis shows that missplicing of muscle-specific genes is higher in DM1 and DM2 than in regenerating control muscles, indicating that these missplicing could be effectively important in DM skeletal muscle pathology. When considering the <em>TNNT2</em> gene, missplicing appears to be more evident in DM1 than in DM2 muscles since, in DM2, the <em>TNNT2</em> fetal isoform appears to be less expressed than the adult isoform. This evidence does not seem to be related to less severe muscle histopathological alterations that appear to be similar in DM1 and DM2 muscles. These results seem to indicate that the more severe <em>TNNT2</em> missplicing observed in DM1 could not be related only to myopathic changes but could reflect the more severe general phenotype compared to DM2, including cardiac problems that appear to be more severe and frequent in DM1 than in DM2 patients. Moreover, <em>TNNT2</em> missplicing significantly correlates with the QRS cardiac parameter in DM1 but not in DM2 patients, indicating that this splicing event has good potential to function as a biomarker of DM1 severity and it should be considered in pharmacological clinical trials to monitor the possible effects of different therapeutic approaches on skeletal muscle tissues.</p> <p><strong>Keywords: </strong> alternative splicing; cardiac involvement; cardiac troponin T; myotonic dystrophies; skeletal muscle.</p>
Impact of Polymorphisms on Gene Expression and Splicing in Response to Exercise and Diet-induced Weight-loss in Human Skeletal Muscle Tissues
<p>This is the comprehensive datasets pre-intervention and post-intervention in Singapore Adult Metabolism Study-2</p> <p>Including the clinical data, full e/sQTL summary statistics, and significant e/sQTL summary statistics.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.