Evidence map›Paper›PMID 28591616›Full record

ArticleBiophysical journal2017

Focal Adhesion Kinase: The Reversible Molecular Mechanosensor.

Samuel Bell, Eugene M Terentjev

Abstract read
In one paragraph

Article in Biophysical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. An Opto-Actuated Hydrogel for Cell Mechanoactuation and Real-Time Force Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. FAK in Cancer: From Mechanisms to Therapeutic Strategies.International journal of molecular sciences · 2022
    Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Mechanical and Systems Biology of Cancer.Computational and structural biotechnology journal · 2018
    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

2 authors.

Samuel BellCavendish Laboratory, University of Cambridge, Cambridge, United Kingdom.
Eugene M TerentjevCavendish Laboratory, University of Cambridge, Cambridge, United Kingdom. Electronic address: emt1000@cam.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sensors are the first element of the pathways that control the response of cells to their environment. Protein complexes that produce or enable a chemical signal in response to a mechanical stimulus are called "mechanosensors". In this work, we develop a theoretical model describing the physical mechanism of a reversible single-molecule stiffness sensor. Although this has the potential for general application, here we apply the model to focal adhesion kinase, which initiates the chemical signal in its active phosphorylated conformation, but can spontaneously return to its closed folded conformation. We find how the rates of conformation changes depend on the substrate stiffness and the pulling force applied from the cell cytoskeleton. We find the sensor is homeostatic, spontaneously self-adjusting to reach a state where its range of maximum sensitivity matches the substrate stiffness. The results compare well with the phenotype observations of cells on different substrates.

Indexed as

ActinsAnimalsCytoskeletonElasticityExtracellular MatrixFeedback, PhysiologicalFocal Adhesion Protein-Tyrosine KinasesFocal AdhesionsHomeostasisIntegrinsMechanotransduction, CellularModels, BiologicalStochastic ProcessesTalinViscosityActinsFocal Adhesion Protein-Tyrosine KinasesIntegrinsTalin

Identifiers

PMID28591616
PMCPMC5474844

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.