Evidence map›Paper›PMID 38057527›Full record

ArticleNature methods2023

Embryo mechanics cartography: inference of 3D force atlases from fluorescence microscopy.

Sacha Ichbiah, Fabrice Delbary, Alex McDougall, Rémi Dumollard, Hervé Turlier

Open access · hybridAbstract read
In one paragraph

Article in Nature methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
12.9field-weighted citation impact, top 1% 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

37 citing papers in PubMed, 62 citations in OpenAlex.

  1. Review
  2. Article
  3. Mechanics of compression-driven morphogenesis.Development (Cambridge, England) · 2026
    Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Marine Model Organisms for Mechanobiology Studies.Results and problems in cell differentiation · 2026
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. A thermodynamic perspective on mammalian neural crest ingression.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  18. Article
  19. Dynamic forces drive cell and organ morphology changes during embryonic development.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  20. Article
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

5 authors at 1 institution in 1 country.

Sacha IchbiahCenter for Interdisciplinary Research in Biology, College of France, CNRS, INSERM, University of PSL, Paris, France.
Fabrice DelbaryCenter for Interdisciplinary Research in Biology, College of France, CNRS, INSERM, University of PSL, Paris, France.
Alex McDougallLaboratory of Developmental Biology of the Villefranche-sur-Mer, Institute of Villefranche-sur-Mer, Sorbonne University, CNRS, Villefranche-sur-Mer, France.
Rémi DumollardLaboratory of Developmental Biology of the Villefranche-sur-Mer, Institute of Villefranche-sur-Mer, Sorbonne University, CNRS, Villefranche-sur-Mer, France.ORCID 0000-0002-8444-0630
Hervé TurlierCenter for Interdisciplinary Research in Biology, College of France, CNRS, INSERM, University of PSL, Paris, France. herve.turlier@college-de-france.fr.ORCID 0000-0002-9332-9125
Centre National de la Recherche Scientifique · FR

Funding

Agence Nationale de la Recherche (French National Research Agency) ANR-10-INBS-0Agence Nationale de la Recherche (French National Research Agency) ANR-17-CE13-0028Centre National de la Recherche Scientifique (National Center for Scientific Research) MITI Modélisation du vivantEuropean Commission (EC) 949267
6 · The paper itself

Abstract

Tissue morphogenesis results from a tight interplay between gene expression, biochemical signaling and mechanics. Although sequencing methods allow the generation of cell-resolved spatiotemporal maps of gene expression, creating similar maps of cell mechanics in three-dimensional (3D) developing tissues has remained a real challenge. Exploiting the foam-like arrangement of cells, we propose a robust end-to-end computational method called 'foambryo' to infer spatiotemporal atlases of cellular forces from fluorescence microscopy images of cell membranes. Our method generates precise 3D meshes of cells' geometry and successively predicts relative cell surface tensions and pressures. We validate it with 3D foam simulations, study its noise sensitivity and prove its biological relevance in mouse, ascidian and worm embryos. 3D force inference allows us to recover mechanical features identified previously, but also predicts new ones, unveiling potential new insights on the spatiotemporal regulation of cell mechanics in developing embryos. Our code is freely available and paves the way for unraveling the unknown mechanochemical feedbacks that control embryo and tissue morphogenesis.

Indexed as

Embryo, MammalianSignal TransductionAnimalsCell MembraneMiceMicroscopy, FluorescenceMorphogenesis

Identifiers

PMID38057527
PMCPMC10703677
OpenAlexW4389398512

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.