Project description:Global gene expression analysis was performed comparing human skeletal muscle samples from patients with various forms of muscular dystrophy and mitochondrial myopathies in order to identify specific gene expression changes associated with collagen VI deficiency (leading to UllrichM-BM-4s Congenital Muscular Dystrophy) and depletion of mitochondrial DNA relative to other mitochondrial myopathies We analysed the gene expression profile of skeletal muscle from children suffering from mitochondrial myopathies and various forms of muscular dystrophy relative to skeletal muscle from healthy children using commercially available arrays that represents the complete human genome (Agilent Human SurePrintGE, 8x60K )
Project description:Total RNA sequencing of human and murine myoblasts and myotubes was extracted, depleted of ribosomal RNA and subjected to Illumina stranded paired end library prep and sequencing. Samples from Duchenne Muscular Dystrophy patients-derived myoblasts were included in this study
Project description:Global gene expression analysis was performed comparing human skeletal muscle samples from patients with various forms of muscular dystrophy and mitochondrial myopathies in order to identify specific gene expression changes associated with collagen VI deficiency (leading to Ullrich´s Congenital Muscular Dystrophy) and depletion of mitochondrial DNA relative to other mitochondrial myopathies
Project description:Muscular dystrophy is a group of diseases that cause progressive weakness and degeneration of the skeletal muscles that control movement. Lacking polymerase I transcription release factor (PTRF, also known as Cavin1), an essential caveolae component, causes a secondary deficiency of caveolins resulting in muscular dystrophy. Because skeletal muscle is a heterogeneous tissue composed of different metabolic muscle fiber (myofibers) and mononuclear cells, the transcriptome responses of these myofibers and mononuclear cell to muscular dystrophy caused by PTRF deletion has not been explored. Here, we create muscular dystrophy mice caused by the deletion of PTRF gene and apply single-nucleus RNA sequencing (snRNA-seq) to unveil transcriptional changes in the skeletal muscle of mice with muscular dystrophy at single-nucleus resolution.
Project description:Fibrosis and fat replacement in the skeletal muscle is a major complication that leads to a loss of mobility in chronic muscle disorders, such as muscular dystrophy. However, our current knowledge on the in vivo properties of adipogenic stem and precursor cells remains unclear, mainly due to the high cell heterogeneity in skeletal muscles. For this purpose, we used single-cell RNA-sequencing to decomplexify interstitial cell populations in healthy and dystrophic skeletal muscles. We identified a CD142 (F3) positive cell subpopulation in mice and humans that is responsible for the inhibition of adipogenesis. Furthermore, we found a completely altered composition of interstitial cells in muscular dystrophy, with a near absence of the CD142-positive cells. The novel discovery of these adipo-regulatory cells in the skeletal muscle aids our understanding regarding the aberrant fat deposition in muscular dystrophy, paving the way for treatments that potentially sustain ambulation in patients with muscular dystrophy.
Project description:Intervention type:DRUG. Intervention1:Huaier, Dose form:GRANULES, Route of administration:ORAL, intended dose regimen:20 to 60/day by either bulk or split for 3 months to extended term if necessary. Control intervention1:None.
Primary outcome(s): For mRNA libraries, focus on mRNA studies. Data analysis includes sequencing data processing and basic sequencing data quality control, prediction of new transcripts, differential expression analysis of genes. Gene Ontology (GO) and the KEGG pathway database are used for annotation and enrichment analysis of up-regulated genes and down-regulated genes.
For small RNA libraries, data analysis includes sequencing data process and sequencing data process QC, small RNA distribution across the genome, rRNA, tRNA, alignment with snRNA and snoRNA, construction of known miRNA expression pattern, prediction New miRNA and Study of their secondary structure Based on the expression pattern of miRNA, we perform not only GO / KEGG annotation and enrichment, but also different expression analysis.. Timepoint:RNA sequencing of 240 blood samples of 80 cases and its analysis, scheduled from June 30, 2022..