Evidence map›Paper›PMID 27853571›Full record

ArticleRoyal Society open science2016

A viscoelastic-stochastic model of the effects of cytoskeleton remodelling on cell adhesion.

Long Li, Wenyan Zhang, Jizeng Wang

Abstract read
In one paragraph

Article in Royal Society open science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Mechanical Model for Catch-Bond-Mediated Cell Adhesion in Shear Flow.International journal of molecular sciences · 2020
    Article
  4. 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

3 authors.

Long LiKey Laboratory of Mechanics on Disaster and Environment in Western China, Ministry of Education , College of Civil Engineering and Mechanics , Lanzhou University, Lanzhou, Gansu 730000 , People's Republic of China.
Wenyan ZhangKey Laboratory of Mechanics on Disaster and Environment in Western China, Ministry of Education , College of Civil Engineering and Mechanics , Lanzhou University, Lanzhou, Gansu 730000 , People's Republic of China.
Jizeng WangKey Laboratory of Mechanics on Disaster and Environment in Western China, Ministry of Education , College of Civil Engineering and Mechanics , Lanzhou University, Lanzhou, Gansu 730000 , People's Republic of China.ORCID 0000-0002-8383-5868

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cells can adapt their mechanical properties through cytoskeleton remodelling in response to external stimuli when the cells adhere to the extracellular matrix (ECM). Many studies have investigated the effects of cell and ECM elasticity on cell adhesion. However, experiments determined that cells are viscoelastic and exhibiting stress relaxation, and the mechanism behind the effect of cellular viscoelasticity on the cell adhesion behaviour remains unclear. Therefore, we propose a theoretical model of a cluster of ligand-receptor bonds between two dissimilar viscoelastic media subjected to an applied tensile load. In this model, the distribution of interfacial traction is assumed to follow classical continuum viscoelastic equations, whereas the rupture and rebinding of individual molecular bonds are governed by stochastic equations. On the basis of this model, we determined that viscosity can significantly increase the lifetime, stability and dynamic strength of the adhesion cluster of molecular bonds, because deformation relaxation attributed to the viscoelastic property can increase the rebinding probability of each open bond and reduce the stress concentration in the adhesion area.

Indexed as

cell adhesionMonte Carlo simulationviscoelastic–stochastic model

Identifiers

PMID27853571
PMCPMC5098996

What OpenQuestion holds

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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.