Evidence map›Paper›PMID 20808789›Full record

ArticlePloS one2010

Soft matrices suppress cooperative behaviors among receptor-ligand bonds in cell adhesion.

Jin Qian, Huajian Gao

Abstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Receptor-Ligand Binding: Effect of Mechanical Factors.International journal of molecular sciences · 2023
    Review
  3. A Framework of Paracellular Transport via Nanoparticles-Induced Endothelial Leakiness.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Integrin-mediated mechanotransduction.The Journal of cell biology · 2016
    Review
  9. Article
  10. Article
  11. USNCTAM perspectives on mechanics in medicine.Journal of the Royal Society, Interface · 2014
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. 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

2 authors.

Jin QianSchool of Engineering, Brown University, Providence, Rhode Island, United States of America.
Huajian Gao

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fact that biological tissues are stable over prolonged periods of time while individual receptor-ligand bonds only have limited lifetime underscores the critical importance of cooperative behaviors of multiple molecular bonds, in particular the competition between the rate of rupture of closed bonds (death rate) and the rate of rebinding of open bonds (birth rate) in a bond cluster. We have recently shown that soft matrices can greatly increase the death rate in a bond cluster by inducing severe stress concentration near the adhesion edges. In the present paper, we report a more striking effect that, irrespective of stress concentration, soft matrices also suppress the birth rate in a bond cluster by increasing the local separation distance between open bonds. This is shown by theoretical analysis as well as Monte Carlo simulations based on a stochastic-elasticity model in which stochastic descriptions of molecular bonds and elastic descriptions of interfacial force/separation are unified in a single modeling framework. Our findings not only are important for understanding the role of elastic matrices in cell adhesion, but also have general implications on adhesion between soft materials.

Indexed as

Models, BiologicalCell AdhesionElasticityExtracellular MatrixLigandsProtein BindingStochastic ProcessesLigands

Identifiers

PMID20808789
PMCPMC2925891

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.