Evidence map›Paper›PMID 32108272›Full record

ArticleBiomechanics and modeling in mechanobiology2020

Cell-substrate mechanics guide collective cell migration through intercellular adhesion: a dynamic finite element cellular model.

Jieling Zhao, Farid Manuchehrfar, Jie Liang

Open access · greenAbstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

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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

3 authors at 2 institutions in 2 countries.

Jieling ZhaoINRIA de Paris and Sorbonne Universités UPMC, LJLL Team Mamba, Paris, France. jieling.zhao@inria.fr.ORCID http://orcid.org/0000-0002-9801-2434
Farid ManuchehrfarDepartment of Bioengineering, University of Illinois at Chicago, Chicago, USA.
Jie LiangDepartment of Bioengineering, University of Illinois at Chicago, Chicago, USA.ORCID http://orcid.org/0000-0002-2773-6427
University of Illinois Chicago · USInstitut national de recherche en sciences et technologies du numérique · FR

Funding

Models and Algorithms for Biological Networks and Polymers: Stochastic Probability Landscape and Chromatin EnsemblesR35GM127084 · NIGMS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LIANG, JIE · 2018 to 2025
$3.7M
Database and Tools for Functional Inference and Mechanistic Insight into Somatic Cancer MutationsR01CA204962 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LIANG, JIE, TSENG, YAN-YUAN · 2017 to 2019
$988k
NCI NIH HHS R01 CA204962NIGMS NIH HHS R35 GM127084NIH HHS R01 CA204962NIH HHS R35 GM127084
6 · The paper itself

Abstract

During the process of tissue formation and regeneration, cells migrate collectively while remaining connected through intercellular adhesions. However, the roles of cell-substrate and cell-cell mechanical interactions in regulating collective cell migration are still unclear. In this study, we employ a newly developed finite element cellular model to study collective cell migration by exploring the effects of mechanical feedback between cell and substrate and mechanical signal transmission between adjacent cells. Our viscoelastic model of cells consists many triangular elements and is of high resolution. Cadherin adhesion between cells is modeled explicitly as linear springs at subcellular level. In addition, we incorporate a mechano-chemical feedback loop between cell-substrate mechanics and Rac-mediated cell protrusion. Our model can reproduce a number of experimentally observed patterns of collective cell migration during wound healing, including cell migration persistence, separation distance between cell pairs and migration direction. Moreover, we demonstrate that cell protrusion determined by the cell-substrate mechanics plays an important role in guiding persistent and oriented collective cell migration. Furthermore, this guidance cue can be maintained and transmitted to submarginal cells of long distance through intercellular adhesions. Our study illustrates that our finite element cellular model can be employed to study broad problems of complex tissue in dynamic changes at subcellular level.

Indexed as

Cell MovementFinite Element AnalysisModels, BiologicalCell AdhesionCell ShapeElasticityExtracellular SpaceHumansMechanotransduction, CellularSignal TransductionViscosityCell–substrate mechanicsCollective cell migrationDyCelFEMFinite element modelIntercellular adhesion

Identifiers

PMID32108272
PMCPMC7990038
OpenAlexW3008246820

What OpenQuestion holds

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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.