Evidence map›Paper›PMID 32877217›Full record

ArticleAmerican journal of physiology. Cell physiology2020

Single-cell transcriptomic analysis identifies extensive heterogeneity in the cellular composition of mouse Achilles tendons.

Andrea J De Micheli, Jacob B Swanson, Nathaniel P Disser, Leandro M Martinez, Nicholas R Walker, David J Oliver, Benjamin D Cosgrove, Christopher L Mendias

Open access · greenAbstract read
In one paragraph

Article in American journal of physiology. Cell physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
12.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

74 citing papers in PubMed, 124 citations in OpenAlex.

  1. Article
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  4. Review
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  6. Article
  7. The cellular basis of fibrotic tendon healing: now in higher definition.American journal of physiology. Cell physiology · 2026
    Review
  8. Mechanical Strain-Programmed SDC1Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Spatial transcriptomic applications in orthopedics.Connective tissue research · 2025
    Review
  18. Article
  19. Article
  20. Article

14 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Andrea J De MicheliHospital for Special Surgery, New York, New York.ORCID 0000-0002-9985-2638
Jacob B SwansonHospital for Special Surgery, New York, New York.
Nathaniel P DisserHospital for Special Surgery, New York, New York.
Leandro M MartinezHospital for Special Surgery, New York, New York.
Nicholas R WalkerHospital for Special Surgery, New York, New York.
David J OliverHospital for Special Surgery, New York, New York.
Benjamin D CosgroveMeinig School of Biomedical Engineering, Cornell University, Ithaca, New York.
Christopher L MendiasHospital for Special Surgery, New York, New York.ORCID 0000-0002-2384-0171
Hospital for Special Surgery · USCornell University · US

Funding

Sex Differences in Tendon Growth and RemodelingR01AR063649 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RODEO, SCOTT A · 2013 to 2022
$3.6M
Revealing muscle stem cell heterogeneity in mice and humans through deep single-cell analysisR01AG058630 · NIA · CORNELL UNIVERSITY · PI COSGROVE, BENJAMIN DAVID · 2018 to 2022
$2.9M
HHS | NIH | National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) R01-AR063649HHS | NIH | National Institute on Aging (U.S. National Institute on Aging) R01-AG058630NIAMS NIH HHS R01 AR063649NIA NIH HHS R01 AG058630
6 · The paper itself

Abstract

Tendon is a dense connective tissue that stores and transmits forces between muscles and bones. Cellular heterogeneity is increasingly recognized as an important factor in the biological basis of tissue homeostasis and disease, yet little is known about the diversity of cell types that populate tendon. To address this, we determined the heterogeneity of cell populations within mouse Achilles tendons using single-cell RNA sequencing. In assembling a transcriptomic atlas of Achilles tendons, we identified 11 distinct types of cells, including three previously undescribed populations of tendon fibroblasts. Prior studies have indicated that pericytes, which are found in the vasculature of tendons, could serve as a potential source of progenitor cells for adult tendon fibroblasts. Using trajectory inference analysis, we provide additional support for the notion that pericytes are likely to be at least one of the progenitor cell populations for the fibroblasts that compose adult tendons. We also modeled cell-cell interactions and identified previously undescribed ligand-receptor signaling interactions involved in tendon homeostasis. Our novel and interactive tendon atlas highlights previously underappreciated heterogeneity between and within tendon cell populations. The atlas also serves as a resource to further the understanding of tendon extracellular matrix assembly and maintenance and in the design of therapies for tendinopathies.

Indexed as

TranscriptomeAchilles TendonAnimalsBasic Helix-Loop-Helix ProteinsCalcium-Binding ProteinsCell CommunicationChondroitin Sulfate ProteoglycansCollagenEndothelial CellsExtracellular MatrixExtracellular Matrix ProteinsFibroblastsGene Expression ProfilingGene Expression RegulationHomeodomain ProteinsMaleBasic Helix-Loop-Helix ProteinsCalcium-Binding ProteinsChondroitin Sulfate ProteoglycansCollagenDpt protein, mouseExtracellular Matrix ProteinsHomeodomain Proteinsmohawk protein, mouseScx protein, mouseSmoc2 protein, mousepericytesingle-cell RNA sequencingtendon fibroblasttenocyte

Identifiers

PMID32877217
PMCPMC7701267
OpenAlexW3082613337

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.