Evidence map›Paper›PMID 29094276›Full record

ArticleBiomechanics and modeling in mechanobiology2018

Numerical investigation of the role of intercellular interactions on collective epithelial cell migration.

Liqiang Lin, Xiaowei Zeng

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Liqiang LinDepartment of Mechanical Engineering, University of Texas at San Antonio, San Antonio, TX, 78249, USA.
Xiaowei ZengDepartment of Mechanical Engineering, University of Texas at San Antonio, San Antonio, TX, 78249, USA. xiaowei.zeng@utsa.edu.

Funding

Numerical Investigation of Collective Cell MigrationSC2GM112575 · NIGMS · UNIVERSITY OF TEXAS SAN ANTONIO · PI ZENG, XIAOWEI · 2015 to 2017
$441k
National Institute of General Medical Sciences SC2GM112575NIGMS NIH HHS SC2 GM112575
6 · The paper itself

Abstract

During collective cell migration, the intercellular forces will significantly affect the collective migratory behaviors. However, the measurement of mechanical stresses exerted at cell-cell junctions is very challenging. A recent experimental observation indicated that the intercellular adhesion sites within a migrating monolayer are subjected to both normal stress exerted perpendicular to cell-cell junction surface and shear stress exerted tangent to cell-cell junction surface. In this study, an interfacial interaction model was proposed to model the intercellular interactions for the first time. The intercellular interaction model-based study of collective epithelial migration revealed that the direction of cell migration velocity has better alignment with the orientation of local principal stress at higher maximum shear stress locations in an epithelial monolayer sheet. Parametric study of the effects of adhesion strength indicated that normal adhesion strength at the cell-cell junction surface has dominated effect on local alignment between the direction of cell velocity vector and the principal stress orientation, while the shear adhesion strength has little effect, which provides compelling evidence to help explain the force transmission via cell-cell junctions between adjacent cells in collective cell motion and provides new insights into "adhesive belt" effects at cell-cell junction.

Indexed as

Cell CommunicationCell MovementNumerical Analysis, Computer-AssistedBiomechanical PhenomenaEpithelial CellsIntercellular JunctionsModels, BiologicalStress, MechanicalCell migrationEpithelial monolayerFinite element simulationIntercellular interactionsNormal tractionShear traction

Identifiers

PMID29094276
PMCPMC6714552

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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.