Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single cell RNA-Seq analysis of human skeletal muscle organoids

ABSTRACT: We performed single cell RNA sequencing analysis of human iPSC-derived skeletal muscle organoids at 12 week post differentiation stage.

ORGANISM(S): Homo sapiens

PROVIDER: GSE147512 | GEO | 2023/06/09

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

RNA-Seq analysis of human skeletal muscle organoids

Project description:We performed RNA sequencing analyses of human iPSC and iPSC-derived skeletal muscle organoids in different differentiation stages of 4wk, 8wk, and 16wk.

2023-06-09 | GSE147513 | GEO

Transcriptome profiling of human skeletal muscle organoids

Project description:Transcriptome profiling of human skeletal muscle organoids

| PRJNA615088 | ENA

Proteomic analysis of a targeted functional genomic screen in human skeletal muscle organoids

Project description:To begin to validate potential causal regulators of muscle function, we targeted genes containing novel skeletal muscle pQTLs and molecular/phenotypic associations, and performed a functional genomic screen in human skeletal muscle organoids (PMID: 30527761). We focused on proteins with negative associations to lean mass, grip strength or other metabolic associations, and generated a total of 27 individual rAAV6:shRNAs. Organoids were grown around contraction posts to monitor contractile force production during electrical stimulation, and transduced following differentiation and maturation to limit effects on the myogenic program (Figure 3A). Electrical stimulation was performed to induce either a tetanic contraction for assessment of maximum force production or stimulated with sustained lower frequency for assessment of fatigue. Following the protocol, organoids were analysed by proteomics which quantified 17/27 targets with 13 targets significantly reduced in abundance by rAAV6:shRNA.

2023-01-08 | PXD034913 | Pride

Proteomic and phosphoproteomic analysis on skeletal muscle from Glut4 mutant mice

Project description:This study aimed to investigate the effect of glucose restriction (GR) on energy metabolism and muscle fibre type in skeletal muscle. To achieve this goal, we constructed a mouse model of innate glucose restriction by mutating the glucose transporter 4 (Glut4), the major glucose transporter in skeletal muscle. We performed proteomic and phosphoproteomic analysis on gastrocnemius samples of male Glut4m mice at 12-week age, with or without a 4-week low-intensity training.

2023-02-15 | PXD040132 |

RNA-Seq analysis of human skeletal muscle organoids

Project description:RNA-Seq analysis of human skeletal muscle organoids

| PRJNA615097 | ENA

Proteome and phosphoproteome analysis of skeletal muscle from Glut4 mutant mouse

Project description:This study aimed to investigate the effects of glucose restriction (GR) on energy metabolism and muscle fiber type in skeletal muscle. To achieve this goal, we created a mouse model of innate glucose limitation by mutating the major glucose transporter 4 (Glut4) in skeletal muscle. We performed proteomic and phosphoproteomic analyzes of gastrocnemius samples from 12-week-old male Glut4m mice, with or without low-intensity treadmill training.

2023-02-21 | PXD040294 |

Single cell RNA-Seq analysis of human skeletal muscle organoids

Project description:Single cell RNA-Seq analysis of human skeletal muscle organoids

| PRJNA615093 | ENA

RNAseq analysis of skeletal muscle transcriptomes from wild-type and LONP1 skeletal muscle specific knockout (LONP1-MKO) mice

Project description:Mitochondria serve diverse functions and are essential organelles that require continuous surveillance to maintaintheir integrity and function. LONP1 is an evolutionarily conservedserine peptidase that safeguards mitochondrial protein quality from yeast to human.To investigatethe physiological role of LONP1-mediated mitochondrial quality-control in skeletal musclein vivo, we generated skeletal muscle-specificLonp1-knockout mice (referred to as LONP1 MKO). We performedtranscriptome analysis by whole-genome gene expression profiling experiments in gastrocnemius (GC) muscle from both wild-type (WT) and LONP1-MKO mice. Knockout of LONP1 in skeletal muscle resulted in deregulation of 457 genes in 2-week-old mice and of 1922 genes in 6-week-old mice. Gene ontology analysis revealed that LONP1 deficiency triggers unfolded protein response (UPR) in skeletal muscle.Moreover, GSEA analysis of transcriptomic datain 6-week-old micefurther revealed that genes deregulated by LONP1 deficiency were significantly enriched during aging.Together, the transcriptional profiling results suggest a critical role of LONP1 in regulating skeletal muscle metabolism and health.

2022-01-05 | GSE166071 | GEO

Single-cell transcriptional profiles in human skeletal muscle

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 single-cell RNA-seq of dissections from vastus lateralis. We generate transcriptome profiles of 11 mononuclear human skeletal muscle mononuclear cell types, including immune, endothelial, pericyte and satellite cells. We delineate 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 changes using data from bulk transcriptome experiments. Analysis of transcriptome data from a 12 week resistance training study using the 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 subtypes 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.

2020-01-16 | GSE130646 | GEO

Skeletal Muscle Transcriptomics

Project description:Skeletal Muscle Transcriptomics

| PRJNA532382 | ENA