Evidence map›Paper›PMID 32416081›Full record

ArticleBiophysical journal2020

Tuning Cell Motility via Cell Tension with a Mechanochemical Cell Migration Model.

Kuan Tao, Jing Wang, Xiangyu Kuang, Weikang Wang, Feng Liu, Lei Zhang

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 23 citations in OpenAlex.

  1. Physical models of embryonic epithelial healing.PLoS computational biology · 2026
    Review
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  9. Tools for computational analysis of moving boundary problems in cellular mechanobiology.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
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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 4 institutions in 2 countries.

Kuan TaoSchool of Sports Engineering, Beijing Sport University, Beijing, China.
Jing WangState Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing, China.
Xiangyu KuangCenter for Quantitative Biology, Peking University, Beijing, China.
Weikang WangDepartment of Computational and Systems Biology University of Pittsburgh, School of Medicine, Pittsburgh, Pennsylvania.
Feng LiuState Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing, China; Center for Quantitative Biology, Peking University, Beijing, China. Electronic address: liufeng-phy@pku.edu.cn.
Lei ZhangCenter for Quantitative Biology, Peking University, Beijing, China; Beijing International Center for Mathematical Research, Peking University, Beijing, China. Electronic address: zhangl@math.pku.edu.cn.
Peking University · CNBeijing Sport University · CNState Key Laboratory of Nuclear Physics and TechnologyUniversity of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell migration is orchestrated by a complicated mechanochemical system. However, few cell migration models take into account the coupling between the biochemical network and mechanical factors. Here, we construct a mechanochemical cell migration model to study the cell tension effect on cell migration. Our model incorporates the interactions between Rac-GTP, Rac-GDP, F-actin, myosin, and cell tension, and it is very convenient in capturing the change of cell shape by taking the phase field approach. This model captures the characteristic features of cell polarization, cell shape change, and cell migration modes. It shows that cell tension inhibits migration ability monotonically when cells are applied with persistent external stimuli. On the other hand, if random internal noise is significant, the regulation of cell tension exerts a nonmonotonic effect on cell migration. Because the increase of cell tension hinders the formation of multiple protrusions, migration ability could be maximized at intermediate cell tension under random internal noise. These model predictions are consistent with our single-cell experiments and other experimental results.

Indexed as

ActinsCell PolarityActin CytoskeletonCell MovementCell ShapeActins

Identifiers

PMID32416081
PMCPMC7300309
OpenAlexW3023462760

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.