Evidence map›Paper›PMID 34871312›Full record

ArticlePLoS computational biology2021

Autonomous epithelial folding induced by an intracellular mechano-polarity feedback loop.

Fu-Lai Wen, Chun Wai Kwan, Yu-Chiun Wang, Tatsuo Shibata

Abstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Physical models of embryonic epithelial healing.PLoS computational biology · 2026
    Review
  2. Article
  3. Review
  4. Article
  5. Mathematical modeling for developmental processes.Development, growth & differentiation · 2023
    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.

Fu-Lai WenLaboratory for Physical Biology, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.ORCID 0000-0002-0451-2631
Chun Wai KwanLaboratory for Epithelial Morphogenesis, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.ORCID 0000-0003-3974-2979
Yu-Chiun WangLaboratory for Epithelial Morphogenesis, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.ORCID 0000-0002-3797-4138
Tatsuo ShibataLaboratory for Physical Biology, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.ORCID 0000-0002-9294-9998

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial tissues form folded structures during embryonic development and organogenesis. Whereas substantial efforts have been devoted to identifying mechanical and biochemical mechanisms that induce folding, whether and how their interplay synergistically shapes epithelial folds remains poorly understood. Here we propose a mechano-biochemical model for dorsal fold formation in the early Drosophila embryo, an epithelial folding event induced by shifts of cell polarity. Based on experimentally observed apical domain homeostasis, we couple cell mechanics to polarity and find that mechanical changes following the initial polarity shifts alter cell geometry, which in turn influences the reaction-diffusion of polarity proteins, thus forming a feedback loop between cell mechanics and polarity. This model can induce spontaneous fold formation in silico, recapitulate polarity and shape changes observed in vivo, and confer robustness to tissue shape change against small fluctuations in mechanics and polarity. These findings reveal emergent properties of a developing epithelium under control of intracellular mechano-polarity coupling.

Indexed as

BlastodermAnimalsBiomechanical PhenomenaCell PolarityDrosophilaEmbryonic DevelopmentEpithelial CellsEpitheliumModels, Biological

Identifiers

PMID34871312
PMCPMC8675927

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.