Evidence map›Paper›PMID 28112150›Full record

ArticleNature communications2017

A cell-based computational model of early embryogenesis coupling mechanical behaviour and gene regulation.

Julien Delile, Matthieu Herrmann, Nadine Peyriéras, René Doursat

Abstract read
In one paragraph

Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

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  11. Open problems in synthetic multicellularity.NPJ systems biology and applications · 2024
    Article
  12. Article
  13. Mechanical Tensions Regulate Gene Expression in theInternational journal of molecular sciences · 2024
    Article
  14. Article
  15. Generative models of morphogenesis in developmental biology.Seminars in cell & developmental biology · 2023
    Review
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  20. 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.

Julien DelileBioEmergences Laboratory (USR3695), CNRS, Université Paris-Saclay, Gif-sur-Yvette 91198, France.
Matthieu HerrmannBioEmergences Laboratory (USR3695), CNRS, Université Paris-Saclay, Gif-sur-Yvette 91198, France.
Nadine PeyriérasBioEmergences Laboratory (USR3695), CNRS, Université Paris-Saclay, Gif-sur-Yvette 91198, France.
René DoursatBioEmergences Laboratory (USR3695), CNRS, Université Paris-Saclay, Gif-sur-Yvette 91198, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of multicellular development is grounded in two complementary domains: cell biomechanics, which examines how physical forces shape the embryo, and genetic regulation and molecular signalling, which concern how cells determine their states and behaviours. Integrating both sides into a unified framework is crucial to fully understand the self-organized dynamics of morphogenesis. Here we introduce MecaGen, an integrative modelling platform enabling the hypothesis-driven simulation of these dual processes via the coupling between mechanical and chemical variables. Our approach relies upon a minimal 'cell behaviour ontology' comprising mesenchymal and epithelial cells and their associated behaviours. MecaGen enables the specification and control of complex collective movements in 3D space through a biologically relevant gene regulatory network and parameter space exploration. Three case studies investigating pattern formation, epithelial differentiation and tissue tectonics in zebrafish early embryogenesis, the latter with quantitative comparison to live imaging data, demonstrate the validity and usefulness of our framework.

Indexed as

Computer SimulationEmbryonic DevelopmentModels, BiologicalAnimalsBody PatterningGene Expression Regulation, Developmental

Identifiers

PMID28112150
PMCPMC5264012

What OpenQuestion holds

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LicenceCC BY
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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.