Evidence map›Paper›PMID 27783151›Full record

ArticleJournal of mathematical biology2017

A phenomenological model of cell-cell adhesion mediated by cadherins.

Simona Mancini, René-Marc Mège, Benoit Sarels, Pierre-Olivier Strale

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Article in Journal of mathematical biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Integration of Cadherin Adhesion and Cytoskeleton atCold Spring Harbor perspectives in biology · 2017
    Review
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.

Simona ManciniLaboratoire MAPMO, UMR 7349, Fédération D. Poisson, Université of Orléans, BP. 6759, 45067, Orléans, France. simona.mancini@univ-orleans.fr.ORCID 0000-0003-4702-6761
René-Marc MègeInstitut Jacques Monod, Centre National de la Recherche Scientifique, Université Paris Diderot, 75205, Paris, France.
Benoit SarelsUPMC Univ Paris 06, Laboratoire Jacques-Louis Lions, Sorbonne Universités, 75005, Paris, France.
Pierre-Olivier StraleInstitut Jacques Monod, Centre National de la Recherche Scientifique, Université Paris Diderot, 75205, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a phenomenological model intended to describe at the protein population level the formation of cell-cell junctions by the local recruitment of homophilic cadherin adhesion receptors. This modeling may have a much wider implication in biological processes since many adhesion receptors, channel proteins and other membrane-born proteins associate in clusters or oligomers at the cell surface. Mathematically, it consists in a degenerate reaction-diffusion system of two partial differential equations modeling the time-space evolution of two cadherin populations over a surface: the first one represents the diffusing cadherins and the second one concerns the fixed ones. After discussing the stability of the solutions of the model, we perform numerical simulations and show relevant analogies with experimental results. In particular, we show patterns or aggregates formation for a certain set of parameters. Moreover, perturbing the stationary solution, both density populations converge in large times to some saturation level. Finally, an exponential rate of convergence is numerically obtained and is shown to be in agreement, for a suitable set of parameters, with the one obtained in some in vitro experiments.

Indexed as

Models, BiologicalCadherinsCell AdhesionDiffusionIntercellular JunctionsCadherinsAdherens junctionsCadherinsCell adhesionDegenerate reaction–diffusion systemPatterns formationProtein clustering

Identifiers

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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.