Evidence map›Paper›PMID 36509005›Full record

ArticleAdvanced healthcare materials2023

The Stiffness-Sensitive Transcriptome of Human Tendon Stromal Cells.

Amro A Hussien, Barbara Niederoest, Maja Bollhalder, Nils Goedecke, Jess G Snedeker

Open access · hybridAbstract read
In one paragraph

Article in Advanced healthcare materials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Tendinopathy: The Interplay between Mechanical Stress, Inflammation, and Vascularity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  6. Article
  7. Article
  8. Review
  9. Achilles tendinopathy.Nature reviews. Disease primers · 2025
    Review
  10. Review
  11. Review
  12. Article
  13. Review
  14. Interfacial Tissue Regeneration with Bone.Current osteoporosis reports · 2024
    Review
  15. Review
  16. Article
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

5 authors at 1 institution in 1 country.

Amro A HussienInstitute for Biomechanics, ETH Zurich, Zurich, 8092, Switzerland.ORCID 0000-0002-9324-9360
Barbara NiederoestInstitute for Biomechanics, ETH Zurich, Zurich, 8092, Switzerland.
Maja BollhalderInstitute for Biomechanics, ETH Zurich, Zurich, 8092, Switzerland.
Nils GoedeckeInstitute for Biomechanics, ETH Zurich, Zurich, 8092, Switzerland.
Jess G SnedekerInstitute for Biomechanics, ETH Zurich, Zurich, 8092, Switzerland.ORCID 0000-0002-8115-0275
University of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular matrix stiffness is a major regulator of cellular states. Stiffness-sensing investigations are typically performed using cells that have acquired "mechanical memory" through prolonged conditioning in rigid environments, e.g., tissue culture plastic (TCP). This potentially masks the full extent of the matrix stiffness-driven mechanosensing programs. Here, a biomaterial composed of 2D mechanovariant silicone substrates with simplified and scalable surface biofunctionalization chemistry is developed to facilitate large-scale cell culture expansion processes. Using RNA sequencing, stiffness-mediated mechano-responses of human tendon-derived stromal cells are broadly mapped. Matrix elasticity (E.) approximating tendon microscale stiffness range (E. ≈ 35 kPa) distinctly favors transcriptional programs related to chromatin remodeling and Hippo signaling; whereas compliant stiffnesses (E. ≈ 2 kPa) are enriched in processes related to cell stemness, synapse assembly, and angiogenesis. While tendon stromal cells undergo dramatic phenotypic drift on conventional TCP, mechanovariant substrates abrogate this activation with tenogenic stiffnesses inducing a transcriptional program that strongly correlates with established tendon tissue-specific expression signature. Computational inference predicts that AKT1 and ERK1/2 are major stiffness-sensing signaling hubs. Together, these findings highlight how matrix biophysical cues may dictate the transcriptional identity of tendon cells, and how matrix mechano-reciprocity regulates diverse sets of previously underappreciated mechanosensitive processes in tendon fibroblasts.

Indexed as

Stromal CellsTranscriptomeCell DifferentiationCells, CulturedExtracellular MatrixHumansTendonsconnective tissuesfibroblastsmatrix stiffnessmechanobiologysoft mattertendons

Identifiers

PMID36509005
PMCPMC11468939
OpenAlexW4311280473

What OpenQuestion holds

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LicenceCC BY
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.