Evidence map›Paper›PMID 30207837›Full record

ArticleMolecular biology of the cell2018

Force localization modes in dynamic epithelial colonies.

Erik N Schaumann, Michael F Staddon, Margaret L Gardel, Shiladitya Banerjee

Abstract read
In one paragraph

Article in Molecular biology of the cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Extracellular matrix micropatterning technology for whole cell cryogenic electron microscopy studies.Journal of micromechanics and microengineering : structures, devices, and systems · 2019
    Article
  15. Article
  16. 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

4 authors.

Erik N SchaumannDepartment of Chemistry, University of Chicago, Chicago, IL 60637.
Michael F StaddonDepartment of Physics & Astronomy, University College London, London WC1E 6BT, United Kingdom.
Margaret L GardelDepartment of Physics, University of Chicago, Chicago, IL 60637.
Shiladitya BanerjeeDepartment of Physics & Astronomy, University College London, London WC1E 6BT, United Kingdom.

Funding

Positioning the Plane of Cell Division During CytokinesisR01GM085087 · NIGMS · UNIVERSITY OF CHICAGO · PI GLOTZER, MICHAEL A. · 2008 to 2018
$3.3M
NIGMS NIH HHS R01 GM085087
6 · The paper itself

Abstract

Collective cell behaviors, including tissue remodeling, morphogenesis, and cancer metastasis, rely on dynamics among cells, their neighbors, and the extracellular matrix. The lack of quantitative models precludes understanding of how cell-cell and cell-matrix interactions regulate tissue-scale force transmission to guide morphogenic processes. We integrate biophysical measurements on model epithelial tissues and computational modeling to explore how cell-level dynamics alter mechanical stress organization at multicellular scales. We show that traction stress distribution in epithelial colonies can vary widely for identical geometries. For colonies with peripheral localization of traction stresses, we recapitulate previously described mechanical behavior of cohesive tissues with a continuum model. By contrast, highly motile cells within colonies produce traction stresses that fluctuate in space and time. To predict the traction force dynamics, we introduce an active adherent vertex model (AAVM) for epithelial monolayers. AAVM predicts that increased cellular motility and reduced intercellular mechanical coupling localize traction stresses in the colony interior, in agreement with our experimental data. Furthermore, the model captures a wide spectrum of localized stress production modes that arise from individual cell activities including cell division, rotation, and polarized migration. This approach provides a robust quantitative framework to study how cell-scale dynamics influence force transmission in epithelial tissues.

Indexed as

AnimalsBiomechanical PhenomenaCell AdhesionCell CommunicationCell MovementComputer SimulationDogsEpithelial CellsEpitheliumExtracellular MatrixMadin Darby Canine Kidney CellsMechanoreceptorsMechanotransduction, CellularModels, BiologicalStress, Mechanical

Identifiers

PMID30207837
PMCPMC6249864

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.