Evidence map›Paper›PMID 24231248›Full record

ArticleJournal of biomechanics2014

Embryonic mechanical and soluble cues regulate tendon progenitor cell gene expression as a function of developmental stage and anatomical origin.

Jeffrey P Brown, Violet G Finley, Catherine K Kuo

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of biomechanics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

47 citing papers in PubMed, 72 citations in OpenAlex.

  1. Article
  2. Review
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  7. Recombinant lysyl oxidase effects on embryonic tendon cell phenotype and behavior.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2023
    Article
  8. Directing iPSC differentiation into iTenocytes using combined scleraxis overexpression and cyclic loading.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2023
    Article
  9. Growth factors in the treatment of Achilles tendon injury.Frontiers in bioengineering and biotechnology · 2023
    Review
  10. Review
  11. Phenotype stability, expansion potential, and senescence of embryonic tendon cells in vitro.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2022
    Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Mechanotransduction of stem cells for tendon repair.World journal of stem cells · 2020
    Review
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

3 authors at 1 institution in 1 country.

Jeffrey P BrownDepartment of Biomedical Engineering, Tufts University, 4 Colby Street, Medford, MA 02155, USA.
Violet G FinleyDepartment of Biomedical Engineering, Tufts University, 4 Colby Street, Medford, MA 02155, USA.
Catherine K KuoDepartment of Biomedical Engineering, Tufts University, 4 Colby Street, Medford, MA 02155, USA; Sackler School of Graduate Biomedical Sciences, Tufts University School of Medicine, Boston, MA 02111, USA. Electronic address: CatherineK.Kuo@tufts.edu.
Tufts University · US

Funding

Identification of Muscle-Derived Soluble and Mechanical Cues to Direct DifferentiR03AR061036 · NIAMS · TUFTS UNIVERSITY MEDFORD · PI KUO, CATHERINE K. · 2011 to 2013
$216k
NIAMS NIH HHS R03 AR061036NIAMS NIH HHS R03AR061036
6 · The paper itself

Abstract

Stem cell-based engineering strategies for tendons have yet to yield a normal functional tissue, due in part to a need for tenogenic factors. Additionally, the ability to evaluate differentiation has been challenged by a lack of markers for differentiation. We propose to inform tendon regeneration with developmental cues involved in normal tissue formation and with phenotypic markers that are characteristic of differentiating tendon progenitor cells (TPCs). Mechanical forces, fibroblast growth factor (FGF)-4 and transforming growth factor (TGF)-β2 are implicated in embryonic tendon development, yet the isolated effects of these factors on differentiating TPCs are unknown. Additionally, developmental mechanisms vary between limb and axial tendons, suggesting the respective cell types are programmed to respond uniquely to exogenous factors. To characterize developmental cues and benchmarks for differentiation toward limb vs. axial phenotypes, we dynamically loaded and treated TPCs with growth factors and assessed gene expression profiles as a function of developmental stage and anatomical origin. Based on scleraxis expression, TGFβ2 was tenogenic for TPCs at all stages, while loading was for late-stage cells only, and FGF4 had no effect despite regulation of other genes. When factors were combined, TGFβ2 continued to be tenogenic, while FGF4 appeared anti-tenogenic. Various treatments elicited distinct responses by axial vs. limb TPCs of specific stages. These results identified tenogenic factors, suggest tendon engineering strategies should be customized for tissues by anatomical origin, and provide stage-specific gene expression profiles of limb and axial TPCs as benchmarks with which to monitor tenogenic differentiation of stem cells.

Indexed as

Gene Expression Regulation, DevelopmentalAnimalsCell DifferentiationDNA PrimersFibroblast Growth Factor 4Gene ExpressionMicePhenotypeRegenerationStem CellsStress, MechanicalTendonsTransforming Growth Factor beta2DNA PrimersFgf4 protein, mouseFibroblast Growth Factor 4Tgfb2 protein, mouseTransforming Growth Factor beta2DevelopmentDifferentiationEmbryonicGrowth factorMechanical loadingTendon

Identifiers

PMID24231248
PMCPMC4157071
OpenAlexW1990098492

What OpenQuestion holds

Textmetadata
LicenceTDM
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.