Evidence map›Paper›PMID 34337559›Full record

ArticleCell reports. Medicine2021

Single-cell transcriptomic profiling reveals distinct mechanical responses between normal and diseased tendon progenitor cells.

Chris Still, Wen-Teh Chang, Seth L Sherman, Kyle R Sochacki, Jason L Dragoo, Lei S Qi

Abstract read
In one paragraph

Article in Cell reports. Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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

21 citing papers in PubMed.

  1. Article
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  11. Fluoroquinolone-Mediated Tendinopathy and Tendon Rupture.Pharmaceuticals (Basel, Switzerland) · 2025
    Review
  12. Review
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  15. Article
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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

6 authors.

Chris StillInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA 94305, USA.
Wen-Teh ChangDepartment of Orthopaedic Surgery, Stanford University, Stanford, CA 94305, USA.
Seth L ShermanDepartment of Orthopaedic Surgery, Stanford University, Stanford, CA 94305, USA.
Kyle R SochackiDepartment of Orthopaedic Surgery, Stanford University, Stanford, CA 94305, USA.
Jason L DragooDeparment of Orthopaedic Surgery, University of Colorado, Denver, CO 80045, USA.
Lei S QiDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regenerative medicine approaches utilizing stem cells offer a promising strategy to address tendinopathy, a class of common tendon disorders associated with pain and impaired function. Tendon progenitor cells (TPCs) are important in healing and maintaining tendon tissues. Here we provide a comprehensive single cell transcriptomic profiling of TPCs from three normal and three clinically classified tendinopathy samples in response to mechanical stimuli. Analysis reveals seven distinct TPC subpopulations including subsets that are responsive to the mechanical stress, highly clonogenic, and specialized in cytokine or growth factor expression. The single cell transcriptomic profiling of TPCs and their subsets serves as a foundation for further investigation into the pathology and molecular hallmarks of tendinopathy in mechanical stimulation conditions.

Indexed as

Gene Expression ProfilingSingle-Cell AnalysisAdolescentAdultCation Transport ProteinsCell CycleClone CellsFerroportinGene Expression RegulationHumansInflammationMaleMitochondriaStem CellsStress, MechanicalTendinopathyCation Transport ProteinsFerroportinMechanical stressSingle cell analysisSingle Cell RNAseqStem cellsTendinopathyTendinopathy markersTendonTendon disordersTendon progenitor cell

Identifiers

PMID34337559
PMCPMC8324492

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Registered trials

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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.