Evidence map›Paper›PMID 31658254›Full record

ArticlePLoS computational biology2019

Matrix feedback enables diverse higher-order patterning of the extracellular matrix.

Esther Wershof, Danielle Park, Robert P Jenkins, David J Barry, Erik Sahai, Paul A Bates

Abstract read
In one paragraph

Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Autocrine IL-6 drives cell and extracellular matrix anisotropy in scar fibroblasts.Matrix biology : journal of the International Society for Matrix Biology · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
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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

6 authors.

Esther WershofBiomolecular Modelling Laboratory, The Francis Crick Institute, London, United Kingdom.
Danielle ParkTumour Cell Biology Laboratory, The Francis Crick Institute, London, United Kingdom.
Robert P JenkinsTumour Cell Biology Laboratory, The Francis Crick Institute, London, United Kingdom.ORCID 0000-0002-6186-7746
David J BarryAdvanced Light Microscopy Facility, The Francis Crick Institute, London, United Kingdom.
Erik SahaiTumour Cell Biology Laboratory, The Francis Crick Institute, London, United Kingdom.ORCID 0000-0002-3932-5086
Paul A BatesBiomolecular Modelling Laboratory, The Francis Crick Institute, London, United Kingdom.ORCID 0000-0003-0621-0925

Funding

Cancer Research UK 10748Cancer Research UK FC001003Cancer Research UK FC001144Medical Research Council FC001003Medical Research Council FC001144Wellcome Trust FC001003Wellcome Trust FC001144
6 · The paper itself

Abstract

The higher-order patterning of extra-cellular matrix in normal and pathological tissues has profound consequences on tissue function. Whilst studies have documented both how fibroblasts create and maintain individual matrix fibers and how cell migration is altered by the fibers they interact with, a model unifying these two aspects of tissue organization is lacking. Here we use computational modelling to understand the effect of this interconnectivity between fibroblasts and matrix at the mesoscale level. We created a unique adaptation to the Vicsek flocking model to include feedback from a second layer representing the matrix, and use experimentation to parameterize our model and validate model-driven hypotheses. Our two-layer model demonstrates that feedback between fibroblasts and matrix increases matrix diversity creating higher-order patterns. The model can quantitatively recapitulate matrix patterns of tissues in vivo. Cells follow matrix fibers irrespective of when the matrix fibers were deposited, resulting in feedback with the matrix acting as temporal 'memory' to collective behaviour, which creates diversity in topology. We also establish conditions under which matrix can be remodelled from one pattern to another. Our model elucidates how simple rules defining fibroblast-matrix interactions are sufficient to generate complex tissue patterns.

Indexed as

AnimalsCell CommunicationCell MovementCells, CulturedComputational BiologyComputer SimulationExtracellular MatrixFeedbackFibroblastsHumansMiceSoftware

Identifiers

PMID31658254
PMCPMC6816557

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.