Similar Datasets
Project description:Total RNA-seq profiling of skeletal muscle.
2022-12-30 | GSE200398 | GEO
Project description:Genome-wide association between DNA methylation and fiber type composition in skeletal muscle
| PRJNA595969 | ENA
Project description:Association study between gene expression and fiber type composition in skeletal muscle
| PRJNA824456 | ENA
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:Skeletal muscle insulin resistance, an early metabolic defect in the pathogenesis of type 2 diabetes, may be a cause or consequence of altered protein expressions profiles. Proteomics technology offers enormous promise to investigate molecular mechanisms underlying pathologies, however, the analysis of skeletal muscle is challenging. Using a state-of-the-art mass spectrometry (MS) based workflow, we performed a global proteomics analysis of skeletal muscle from leptin-deficient, obese, type 2 diabetic (ob/ob) and lean mice, identifying more than 6,000 proteins with 118 proteins differentially regulated in obesity. This included protein kinases, phosphatases, and secreted and fiber type associated proteins. Enzymes involved in lipid metabolism in skeletal muscle from ob/ob mice were increased, providing evidence against reduced fatty acid oxidation in lipid-induced insulin resistance. Mitochondrial and peroxisomal proteins, as well as components of pyruvate and lactate metabolism were likewise increased. Finally, the skeletal muscle proteome from ob/ob mice displayed a shift towards the ‘slow fiber type’. This detailed characterization of obese rodent models of type 2 diabetes demonstrates an efficient workflow for skeletal muscle proteomics, which may easily be adapted to other complex tissues.
2018-01-26 | PXD007697 | Pride
Project description:Skeletal muscle is a heterogeneous tissue consisting of blood vessels, connective tissue, and muscle fibers. The last are highly adaptive and can change their molecular composition depending on external and internal factors, such as exercise, age, and disease. Thus, examination of the skeletal muscles at the fiber type level is essential to detect potential alterations. Therefore, we established a protocol in which myosin heavy chain isoform immunolabeled muscle fibers were laser microdissected and separately investigated by mass spectrometry to develop advanced proteomic profiles of all murine skeletal muscle fiber types. Our in-depth mass spectrometric analysis revealed unique fiber type protein profiles, confirming fiber type-specific metabolic properties and revealing a more versatile function of type IIx fibers. Furthermore, we found that multiple myopathy-associated proteins were enriched in type I and IIa fibers. To further optimize the assignment of fiber types based on the protein profile, we developed a hypothesis-free machine-learning approach (available at: https://github.com/mpc-bioinformatics/FiPSPi), identified a discriminative peptide panel, and confirmed our panel using a public data set.
2021-06-07 | PXD025359 | Pride
Project description:In skeletal muscle, STAT5a/b transcription factors are critical for normal postnatal growth, whole-animal glucose homeostasis, and local IGF-1 production. These observations have led us to hypothesize that STAT5a/b are critical for maintenance of normal muscle mass and function. To investigate this, mice with a skeletal muscle-specific deletion of the Stat5a/b genes (Stat5MKO) were used. Stat5MKO mice displayed reduced muscle mass, altered fiber-type distribution and reduced activity. On a molecular level, gene expression in skeletal muscle of Stat5MKO and control mice was analyzed by microarrays and real-time PCR, both in the presence and absence of growth hormone (GH) stimulation. Several genes involved in muscle growth, fiber-type and metabolism were significantly changed. Specifically in the quadriceps, a muscle almost exclusively composed of type II fibers, the absence of STAT5a/b led to increased expression of several genes associated with type I fibers and the de novo appearance of type I fibers. Additionally, it is shown here that expression of the androgen receptor gene (Ar) is controlled by GH through STAT5a/b. The link between STAT5a/b and Ar gene is likely through direct transcriptional regulation, as chromatin immunoprecipitaion of the Ar promoter region in C2C12 myoblasts was accomplished by antibodies against STAT5a. These experiments demonstrate an important role for STAT5a/b in skeletal muscle physiology and they provide a direct link to androgen signaling. Keywords: stat5 KO or WT treated or w/o GH
2009-08-18 | GSE14710 | GEO
Project description:Skeletal muscle is composed of both slow-twich oxidative myofibers and fast-twitch glycolytic myofibers that differentially impact muscle metabolism, function, and eventually whole-body physiology. In the present study, we find that the mesodermal transcription factor T-box 15 (Tbx15) is highly and specifically expressed in glycolytic myofibers. Ablation of Tbx15 in vivo leads to a decrease in muscle size due to a decrease in the number of glycolytic fibers, associated with a small increase in the number of oxidative fibers. This shift in fiber composition results in muscles with slower myofiber contraction and relaxation, and also results in decreased whole-body oxygen consumption, decreased spontaneous activity, increased adiposity, and glucose intolerance. In order to identify genes regulated by Tbx15, we utilized C2C12 myoblasts with either a stable retroviral over-expression or stable lentiviral knockdown of Tbx15.
2015-07-03 | GSE70489 | GEO
Project description:Skeletal muscle is composed of both slow-twich oxidative myofibers and fast-twitch glycolytic myofibers that differentially impact muscle metabolism, function, and eventually whole-body physiology. In the present study, we find that the mesodermal transcription factor T-box 15 (Tbx15) is highly and specifically expressed in glycolytic myofibers. Ablation of Tbx15 in vivo leads to a decrease in muscle size due to a decrease in the number of glycolytic fibers, associated with a small increase in the number of oxidative fibers. This shift in fiber composition results in muscles with slower myofiber contraction and relaxation, and also results in decreased whole-body oxygen consumption, decreased spontaneous activity, increased adiposity, and glucose intolerance. In order to identify genes regulated by Tbx15, we utilized C2C12 myoblasts with either a stable retroviral over-expression or stable lentiviral knockdown of Tbx15. RNA was extracted and biotin labelled complementary RNA (cRNA) was prepared from three independent transfections of the four stable C2C12 myoblast cell lines: shTbx15, shGFP, pBABE-Empty-puro, pBABE-Tbx15-puro. Cells were collected at 90% confluency, and subjected to microarray analysis. Affymetrix M430 2.0 Chips were used.
2015-07-03 | E-GEOD-70489 | biostudies-arrayexpress
Project description:Isolated fiber-type transcriptional profiles in human skeletal muscle
| PRJNA542159 | ENA