Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single Cell sequencing of mononuclear cells from regenerating skeletal muscle

ABSTRACT: Single Cell sequencing of mononuclear cells from regenerating skeletal muscle

PROVIDER: PRJNA847195 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR19581905_1.fastq.gz	Fastqsanger.gz
	SRR19581905_2.fastq.gz	Fastqsanger.gz
	SRR19581906_1.fastq.gz	Fastqsanger.gz
	SRR19581906_2.fastq.gz	Fastqsanger.gz
	SRR19581907_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 48

Similar Datasets

Single Cell sequencing of mononuclear cells from regenerating skeletal muscle

Project description:Skeletal muscle stem cells, or satellite cells (SCs), are essential to regenerate and maintain muscle. Quiescent SCs reside in an asymmetric niche between the basal lamina and myofiber membrane. To repair muscle, SCs activate, proliferate, and differentiate, fusing to repair myofibers or reacquiring quiescence to replenish the SC niche. Little is known about when SCs reacquire quiescence during regeneration or the cellular processes that direct SC fate decisions and progression through myogenesis. Single cell sequencing of myogenic cells in regenerating muscle identifies SCs reacquiring quiescence and reveals that non-cell autonomous signaling networks influence SC fate decisions during regeneration. Single cell RNA-sequencing of regenerating skeletal muscle reveals that RBP expression, including numerous neuromuscular disease-associated RBPs, is temporally regulated in skeletal muscle stem cells and correlates to stages of myogenic differentiation. By combining machine learning with RBP engagement scoring, we discover that the neuromuscular disease associated RBP Hnrnpa2b1 is a differentiation-specifying regulator of myogenesis controlling myogenic cell fate transitions during terminal differentiation.

2022-06-11 | GSE205690 | GEO

Single-nucleus transcriptomics reveals functional compartmentalization in syncytial skeletal muscle cells

Project description:Syncytial skeletal muscle cells contain hundreds of nuclei in a shared cytoplasm. Using single nucleus RNA-sequencing (snRNAseq) of isolated nuclei from muscle fibers, we investigated nuclear heterogeneity and transcriptional dynamics in uninjured and regenerating muscle.

2020-10-07 | E-MTAB-8623 | biostudies-arrayexpress

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

Single-cell transcriptomic sampling of regenerating mouse muscle tissue

Project description:We report a series of single-cell transcriptomic datasets of regenerating mouse muscle tissue generated with the 10x Genomics Chromium v3 platform.

2020-10-14 | GSE159500 | GEO

Single-cell transcriptomic sampling of regenerating aged mouse hindlimb muscle

Project description:We report a series of single-cell transcriptomic datasets of regenerating mouse muscle tissue generated with the 10x Genomics Chromium platform.

2021-09-29 | GSE162172 | GEO

Single-cell transcriptomic atlas of the mouse regenerating muscle tissue

Project description:We report a series of single-cell transcriptomic datasets of the mouse regenerating muscle tissue produced using the Chromium 10X technology.

2020-01-11 | GSE143437 | GEO

Single-cell transcriptomic sampling of regenerating mouse muscle tissue

Project description:Single-cell transcriptomic sampling of regenerating mouse muscle tissue

| PRJNA669063 | ENA

Transcript sequencing of mononuclear fractions from dissociated murine skeletal muscle

Project description:Transcript sequencing of mononuclear fractions from dissociated murine skeletal muscle

| PRJNA432561 | ENA

Isolated fiber-type 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 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

Single cell RNA-seq of skeletal muscle from young and old mice

Project description:We report the scRNA-seq of mononuclear cells isolated from skeletal muscle of young and old mice.

2022-05-20 | GSE172410 | GEO