2022
DOI: 10.1038/s42003-022-03938-0
|View full text |Cite
|
Sign up to set email alerts
|

Single nuclei transcriptomics of muscle reveals intra-muscular cell dynamics linked to dystrophin loss and rescue

Abstract: In Duchenne muscular dystrophy, dystrophin loss leads to chronic muscle damage, dysregulation of repair, fibro-fatty replacement, and weakness. We develop methodology to efficiently isolate individual nuclei from minute quantities of frozen skeletal muscle, allowing single nuclei sequencing of irreplaceable archival samples and from very small samples. We apply this method to identify cell and gene expression dynamics within human DMD and mdx mouse muscle, characterizing effects of dystrophin rescue by exon sk… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

3
28
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5
1
1

Relationship

0
7

Authors

Journals

citations
Cited by 24 publications
(31 citation statements)
references
References 73 publications
3
28
0
Order By: Relevance
“…This gave rise to a total of 30 subclusters including 4 MTJ-myonuclei subclusters; 26 were new subclusters (indicated by 'Sub' in the cluster names) and 4 original (Cytoplasm, Myo_9, Myo_10, SatCell) (Figure 4A, Supplementary Figure S4, Supplementary Data S3). To compare cell-cluster markers we include in Supplementary Figure S5 a comparison between our 30 nuclei-subclusters and cell-types or nuclei-types reported in the literature (Harvey et al 2019;Dos Santos et al 2020;Kendal et al 2020;Rubenstein et al 2020;De Micheli et al 2020a, b;Barruet et al 2020;Chemello et al 2020;He et al 2020;Kim et al 2020;Petrany et al 2020;Perez et al 2021;Wen et al 2021;Eraslan et al 2022;Scripture-Adams et al 2022;Yan et al 2022). This showed a good alignment between our clusters compared to snRNA-seq (Perez et al 2021;Eraslan et al 2022) and scRNA-seq (Rubenstein et al 2020;He et al 2020) in human skeletal muscle, and in snRNA-seq (Dos Santos et al 2020;Chemello et al 2020;Wen et al 2021) and scRNA-seq (De Micheli et al 2020b) in mice.…”
Section: Snrna-seq Subcluster Analysis Reveals Distinct Myofibre Domainsmentioning
confidence: 60%
“…This gave rise to a total of 30 subclusters including 4 MTJ-myonuclei subclusters; 26 were new subclusters (indicated by 'Sub' in the cluster names) and 4 original (Cytoplasm, Myo_9, Myo_10, SatCell) (Figure 4A, Supplementary Figure S4, Supplementary Data S3). To compare cell-cluster markers we include in Supplementary Figure S5 a comparison between our 30 nuclei-subclusters and cell-types or nuclei-types reported in the literature (Harvey et al 2019;Dos Santos et al 2020;Kendal et al 2020;Rubenstein et al 2020;De Micheli et al 2020a, b;Barruet et al 2020;Chemello et al 2020;He et al 2020;Kim et al 2020;Petrany et al 2020;Perez et al 2021;Wen et al 2021;Eraslan et al 2022;Scripture-Adams et al 2022;Yan et al 2022). This showed a good alignment between our clusters compared to snRNA-seq (Perez et al 2021;Eraslan et al 2022) and scRNA-seq (Rubenstein et al 2020;He et al 2020) in human skeletal muscle, and in snRNA-seq (Dos Santos et al 2020;Chemello et al 2020;Wen et al 2021) and scRNA-seq (De Micheli et al 2020b) in mice.…”
Section: Snrna-seq Subcluster Analysis Reveals Distinct Myofibre Domainsmentioning
confidence: 60%
“…Skeletal muscle is a complex tissue composed of around 40% of an adult human's mass (Frontera & Ochala, 2015). It contains many cell types, including satellite cells, myotubes, myogenic precursors, fibroadipogenic progenitors, fibroblasts, ECs, pericytes, adipocytes, immune cells, and smooth muscle (De Micheli et al, 2020;Rubenstein et al, 2020;Orchard et al, 2021;Scripture-Adams et al, 2022). Single-cell sequencing technologies are becoming an important tool to interrogate the individual transcriptomes of cell types in otherwise complex heterogenous tissues.…”
Section: Introductionmentioning
confidence: 99%
“…Increasingly, this technique is proving to be well suited for simultaneously examining many cell types, uncover rare disease states, and identify subpopulations with distinct functions (Birnbaum, 2018). Few studies have examined human skeletal muscle at the single-cell level (Barruet et al, 2020;De Micheli et al, 2020;Rubenstein et al, 2020;Orchard et al, 2021;Scripture-Adams et al, 2022), however, its utility is clear for basic and medical science studies of muscle in health and disease.…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations