Evidence map›Paper›PMID 28346461›Full record

ArticlePLoS computational biology2017

Geometry can provide long-range mechanical guidance for embryogenesis.

Mahamar Dicko, Pierre Saramito, Guy B Blanchard, Claire M Lye, Bénédicte Sanson, Jocelyn Étienne

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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

17 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
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  5. Spatiotemporal distribution of the glycoprotein pherophorin II reveals stochastic geometry of the growing ECM ofProceedings of the National Academy of Sciences of the United States of America · 2025
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  8. Curvature gradient drives polarized tissue flow in theProceedings of the National Academy of Sciences of the United States of America · 2023
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  12. Review
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  14. Anisotropy links cell shapes to tissue flow during convergent extension.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  15. 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 at 2 institutions in 2 countries.

Mahamar DickoLJK, Univ. Grenoble Alpes, Grenoble, France.
Pierre SaramitoLJK, Univ. Grenoble Alpes, Grenoble, France.
Guy B BlanchardDept. Physiology, Development and Neuroscience, Univ. Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-3689-0522
Claire M LyeDept. Physiology, Development and Neuroscience, Univ. Cambridge, Cambridge, United Kingdom.ORCID 0000-0001-9759-3700
Bénédicte SansonDept. Physiology, Development and Neuroscience, Univ. Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-2782-4195
Jocelyn ÉtienneLIPHY, Univ. Grenoble Alpes, Grenoble, France.ORCID 0000-0002-1866-5604
Centre National de la Recherche Scientifique · FRUniversity of Cambridge · GB

Funding

Wellcome Trust 099234/Z/12/Z
6 · The paper itself

Abstract

Downstream of gene expression, effectors such as the actomyosin contractile machinery drive embryo morphogenesis. During Drosophila embryonic axis extension, actomyosin has a specific planar-polarised organisation, which is responsible for oriented cell intercalation. In addition to these cell rearrangements, cell shape changes also contribute to tissue deformation. While cell-autonomous dynamics are well described, understanding the tissue-scale behaviour challenges us to solve the corresponding mechanical problem at the scale of the whole embryo, since mechanical resistance of all neighbouring epithelia will feedback on individual cells. Here we propose a novel numerical approach to compute the whole-embryo dynamics of the actomyosin-rich apical epithelial surface. We input in the model specific patterns of actomyosin contractility, such as the planar-polarisation of actomyosin in defined ventro-lateral regions of the embryo. Tissue strain rates and displacements are then predicted over the whole embryo surface according to the global balance of stresses and the material behaviour of the epithelium. Epithelia are modelled using a rheological law that relates the rate of deformation to the local stresses and actomyosin anisotropic contractility. Predicted flow patterns are consistent with the cell flows observed when imaging Drosophila axis extension in toto, using light sheet microscopy. The agreement between model and experimental data indicates that the anisotropic contractility of planar-polarised actomyosin in the ventro-lateral germband tissue can directly cause the tissue-scale deformations of the whole embryo. The three-dimensional mechanical balance is dependent on the geometry of the embryo, whose curved surface is taken into account in the simulations. Importantly, we find that to reproduce experimental flows, the model requires the presence of the cephalic furrow, a fold located anteriorly of the extending tissues. The presence of this geometric feature, through the global mechanical balance, guides the flow and orients extension towards the posterior end.

Indexed as

Models, BiologicalActomyosinAnimalsBody PatterningComputer SimulationDrosophilaEmbryonic DevelopmentEmbryo, NonmammalianMechanotransduction, CellularMolecular Motor ProteinsStress, MechanicalActomyosinMolecular Motor Proteins

Identifiers

PMID28346461
PMCPMC5386319
OpenAlexW2949656178

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.