Evidence map›Paper›PMID 35089922›Full record

ArticlePLoS computational biology2022

Adhesion-regulated junction slippage controls cell intercalation dynamics in an Apposed-Cortex Adhesion Model.

Alexander Nestor-Bergmann, Guy B Blanchard, Nathan Hervieux, Alexander G Fletcher, Jocelyn Étienne, Bénédicte Sanson

Abstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Shape, Strain, and Stability: Epithelia Under High Strain.bioRxiv : the preprint server for biology · 2025
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Two-point optical manipulation reveals mechanosensitive remodeling of cell-cell contacts in vivo.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  8. Review
  9. 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

6 authors.

Alexander Nestor-BergmannDepartment of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-0013-2607
Guy B BlanchardDepartment of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-3689-0522
Nathan HervieuxDepartment of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0001-7567-995X
Alexander G FletcherSchool of Mathematics and Statistics and Bateson Centre, University of Sheffield, Sheffield, United Kingdom.ORCID 0000-0003-0525-4336
Jocelyn ÉtienneLIPHY, CNRS, Univ. Grenoble Alpes, CNRS, LIPhy, 38000 Grenoble, France.ORCID 0000-0002-1866-5604
Bénédicte SansonSchool of Mathematics and Statistics and Bateson Centre, University of Sheffield, Sheffield, United Kingdom.ORCID 0000-0002-2782-4195

Funding

Biotechnology and Biological Sciences Research Council BB/R000395/1Biotechnology and Biological Sciences Research Council BB/R016925/1Wellcome Trust 099234Z12ZWellcome Trust 207553/Z/17/ZWellcome Trust 207553Z17Z
6 · The paper itself

Abstract

Cell intercalation is a key cell behaviour of morphogenesis and wound healing, where local cell neighbour exchanges can cause dramatic tissue deformations such as body axis extension. Substantial experimental work has identified the key molecular players facilitating intercalation, but there remains a lack of consensus and understanding of their physical roles. Existing biophysical models that represent cell-cell contacts with single edges cannot study cell neighbour exchange as a continuous process, where neighbouring cell cortices must uncouple. Here, we develop an Apposed-Cortex Adhesion Model (ACAM) to understand active cell intercalation behaviours in the context of a 2D epithelial tissue. The junctional actomyosin cortex of every cell is modelled as a continuous viscoelastic rope-loop, explicitly representing cortices facing each other at bicellular junctions and the adhesion molecules that couple them. The model parameters relate directly to the properties of the key subcellular players that drive dynamics, providing a multi-scale understanding of cell behaviours. We show that active cell neighbour exchanges can be driven by purely junctional mechanisms. Active contractility and cortical turnover in a single bicellular junction are sufficient to shrink and remove a junction. Next, a new, orthogonal junction extends passively. The ACAM reveals how the turnover of adhesion molecules regulates tension transmission and junction deformation rates by controlling slippage between apposed cell cortices. The model additionally predicts that rosettes, which form when a vertex becomes common to many cells, are more likely to occur in actively intercalating tissues with strong friction from adhesion molecules.

Indexed as

ActomyosinAdherens JunctionsCell AdhesionCell Adhesion MoleculesEpitheliumMorphogenesisActomyosinCell Adhesion Molecules

Identifiers

PMID35089922
PMCPMC8887740

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.