Evidence map›Paper›PMID 36968076›Full record

ArticleiScience2023

Boolean modeling of mechanosensitive epithelial to mesenchymal transition and its reversal.

Emmalee Sullivan, Marlayna Harris, Arnav Bhatnagar, Eric Guberman, Ian Zonfa, Erzsébet Ravasz Regan

Open access · goldFull text read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. HHIP's dynamic role in epithelial wound healing reveals a potential mechanism of COPD susceptibility.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. A computational approach for perturbation-induced EMT transitions.NPJ systems biology and applications · 2025
    Article
  5. Generative prediction of causal gene sets responsible for complex traits.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Cell reprogramming design by transfer learning of functional transcriptional networks.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  12. Article
  13. 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

6 authors at 2 institutions in 1 country.

Emmalee SullivanBiochemistry and Molecular Biology, The College of Wooster, Wooster, OH 44691, USA.
Marlayna HarrisBiochemistry and Molecular Biology, The College of Wooster, Wooster, OH 44691, USA.
Arnav BhatnagarBiochemistry and Molecular Biology, The College of Wooster, Wooster, OH 44691, USA.
Eric GubermanBiochemistry and Molecular Biology, The College of Wooster, Wooster, OH 44691, USA.
Ian ZonfaBiochemistry and Molecular Biology, The College of Wooster, Wooster, OH 44691, USA.
Erzsébet Ravasz ReganBiochemistry and Molecular Biology, The College of Wooster, Wooster, OH 44691, USA.
College of Wooster · USCase Western Reserve University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The significance of biophysical modulators of the epithelial to mesenchymal transition (EMT) is demonstrated by experiments that document full EMT on stiff, nano-patterned substrates in the absence of biochemical induction. Yet, current models focus on biochemical triggers of EMT without addressing its mechanosensitive nature. Here, we built a Boolean model of EMT triggered by mechanosensing - mitogen crosstalk. Our model reproduces epithelial, hybrid E/M and mesenchymal phenotypes, the role of autocrine TGFβ signaling in maintaining mesenchymal cells in the absence of external drivers, inhibition of proliferation by TGFβ, and its apoptotic effects on soft ECM. We offer testable predictions on the density-dependence of partial EMT, its molecular drivers, and the conflict between mitosis and hybrid E/M stability. Our model opens the door to modeling the effects of the biomechanical environment on cancer cell stemness linked to the hybrid E/M state, as well as the mutually inhibitory crosstalk between EMT and senescence.

Indexed as

BiophysicsCell biologyMechanobiology

Identifiers

PMID36968076
PMCPMC10030917
OpenAlexW4322766814

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read82
identifiers read1
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 Socratic graph.