Cited by 386Muscle Physiology and DisordersSingle-cell and spatial transcriptomicsCongenital heart defects research

Single-cell analysis of the muscle stem cell hierarchy identifies heterotypic communication signals involved in skeletal muscle regeneration

Open access
De Micheli, Andrea J., Laurilliard, Emily J., Heinke, Charles L., Ravichandran, Hiranmayi, Fraczek, Paula, Soueid-Baumgarten, Sharon, De Vlaminck, Iwijn, Elemento, Olivier +1 more·2020·Cell Reports

Published version of a preprint

Abstract

Abstract Muscle stem cells (MuSCs) are an essential adult stem cell population with the capacity to self-renew and regenerate muscle tissue. Functionally heterogeneous subpopulations of MuSCs have been identified based on their expression of myogenic regulatory factors and surface markers. However, a unified organization of muscle stem and progenitor cells and their subpopulations remains unresolved. Here, we performed temporal analysis of skeletal muscle regeneration using single-cell RNA-sequencing (scRNA-seq) of myotoxin-injured adult mouse hindlimb muscles. We generated over 34,000 single-cell transcriptomes spanning four muscle regeneration time-points and identified 15 distinct cell types, including a heterogeneous population of MuSCs and progenitor cells. Our analysis provides a hierarchical map of myogenic cell populations and identifies stage-specific regulatory programs that govern their contributions to muscle regeneration. In this transcriptomic atlas, we observed cell type-specific regenerative dynamics, exemplified by waves of transient amplification and diversification of multiple immune cell types and, subsequently, myogenic cells. Unbiased trajectory inference organized the myogenic cell populations within the atlas into a continuum, consisting of a hierarchy of quiescent MuSCs, cycling progenitors, committed myoblasts, and terminally differentiated myocytes. This myogenic trajectory matched prior understanding and also revealed that MuSC stages are defined by synchronous changes in regulatory factors, cell cycle-associated, and surface receptor gene expression. Lastly, we analyzed the transcriptomic atlas to identify over 100 candidate heterotypic communication signals between myogenic and non-myogenic cell populations, including many involving the fibroblast growth factor (FGF), Notch, and Syndecan receptor families and their associated ligands. Syndecan receptors were implicated in a large fraction of these cell communication interactions and were observed to exhibit transcriptional heterogeneity within the myogenic continuum. Using multiparameter mass cytometry (CyTOF), we confirmed that cycling MuSCs exhibit diversified Syndecan-1/2 expression, which suggests that dynamic alterations in Syndecan signaling interactions may coordinate stage-specific myogenic cell fate regulation. This scRNA-seq reference atlas provides a resolved hierarchical organization of myogenic subpopulations as a resource to investigate cell-cell interactions that regulate myogenic stem and progenitor cell fates in muscle regeneration.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.celrep.2020.02.067

Cites

62 of 62 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Our data are consistent with previous reports of decreased Pax7 with activation at the ensemble level, when considering only the mean expression of Pax7 at the quiescent and activated time points.

    “Our data are consistent with previous reports of decreased Pax7 with activation at the ensemble level (Cornelison and Wold, 1997; De Micheli et al., 2020; Dell'Orso et al., 2019), when we consider only the mean expression of Pax7 at the quiescent and activated time points (Fig. S3C).”

    From Aging induces aberrant state transition kinetics in murine muscle stem cells (2020) · cites this paper as De Micheli et al., 2020

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
De Micheli, A. J., Laurilliard, E. J., Heinke, C. L., Ravichandran, H., Fraczek, P., Soueid-Baumgarten, S., De Vlaminck, I., Elemento, O., & Cosgrove, B. D.
Affiliations
  • Cornell University (US)
  • Weill Cornell Medicine (US)
Corresponding author
Cosgrove, Benjamin D.
Venue
Cell Reports
Publisher
Elsevier BV
Published
2020-03
Volume
30
Issue
10
Pages
3583-3595.e5
ISSN
2211-1247 (ISSN-L)
OpenAlex
W3011739739
Cited by
373
References
61
Citations by year
2026: 35 · 2025: 55 · 2024: 72 · 2023: 65 · 2022: 70 · 2021: 46 · 2020: 28 · 2019: 2
FWCI
17.99
Type
journal article
Language
en
Open access
Locations
  • Cell Reports (publishedVersion, cc-by-nc-nd)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National Institutes of Health (R00AG042491, R01AG058630, 1DP2AI138242)
  • US Department of Education (P200A150273)
  • Glenn Medical Research Foundation and American Federation for Aging Research Grant for Junior Faculty
  • Cornell Engineering Learning Initiatives Undergraduate Research Award
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Muscle Physiology and Disorders
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Congenital heart defects research
Keywords
muscle stem cells, skeletal muscle regeneration, paracrine signaling, muscle progenitor cells, syndecans, FGF2, TGF-β1, RSPO3, ligand-receptor interactions, single-cell transcriptome atlas
MeSH terms
RNA-Seq, Animals, Cell Communication, Gene Expression Regulation, Ligands, Mice, Inbred C57BL, Models, Biological, Receptors, Cell Surface, Regeneration, Stem Cells, Signal Transduction, Muscle, Skeletal, Paracrine Communication, Muscle Development, Cell Proliferation, Adipogenesis, Syndecans, Single-Cell Analysis

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review