Evidence map›Paper›PMID 40825079›Full record

ArticlePLoS computational biology2025

Predicting organoid morphology through a phase field model: Insights into cell division and lumenal pressure.

Sakurako Tanida, Kana Fuji, Linjie Lu, Tristan Guyomar, Byung Ho Lee, Alf Honigmann, Anne Grapin-Botton, Daniel Riveline, Tetsuya Hiraiwa, Makiko Nonomura and 1 more

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Biophysics of lumen morphogenesis.Development (Cambridge, England) · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

11 authors.

Sakurako TanidaUniversal Biology Institute, Graduate School of Science, The University of Tokyo, Tokyo, Japan.
Kana FujiUniversal Biology Institute, Graduate School of Science, The University of Tokyo, Tokyo, Japan.
Linjie LuUniversity of Strasbourg, Illkirch, France.
Tristan GuyomarUniversity of Strasbourg, Illkirch, France.
Byung Ho LeeMax Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
Alf HonigmannMax Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
Anne Grapin-BottonMax Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
Daniel RivelineUniversity of Strasbourg, Illkirch, France.
Tetsuya HiraiwaUniversal Biology Institute, Graduate School of Science, The University of Tokyo, Tokyo, Japan.
Makiko NonomuraDepartment of Mathematical Information Engineering, College of Industrial Technology, Nihon University, Chiba, Japan.ORCID 0000-0003-4774-4173
Masaki SanoUniversal Biology Institute, Graduate School of Science, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-6262-9635

Funding

French Investments for the Future ProgramHuman Frontier Science ProgramNational Natural Science Foundation of ChinaSeed Fund of Mechanobiology InstituteUniversity of Strasbourg
6 · The paper itself

Abstract

Organoids are ideal systems to predict the phenotypes of organs. However, there is currently a lack of understanding regarding the generalized rules that enable use of simple cellular principles to make morphological predictions of entire organoids. Therefore, we employed a phase field model with the following basic components: the minimum conditions for the timing and volume of cell division, lumen nucleation rules, and lumenal pressure. Through our model, we could compute and generate a myriad of organoid phenotypes observed till date. We propose morphological indices necessary to characterize the shapes and construct phase diagrams and show their dependencies on proliferation time and lumen pressure. Additionally, we introduced the lumen-index parameter, which helped in examining the criteria to maintain organoids as spherical structures comprising a single layer of cells and enclosing an intact lumen. Finally, we predict a star-like organoid phenotype that did not undergo differentiation, suggesting that the volume constraint during cell division may determine the final phenotype. In summary, our approach provides researchers with guidelines to test the mechanisms of self-organization and predict the shape of organoid.

Indexed as

Cell DivisionModels, BiologicalOrganoidsAnimalsCell DifferentiationCell ProliferationComputational BiologyComputer SimulationHumansPhenotype

Identifiers

PMID40825079
PMCPMC12373292

What OpenQuestion holds

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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.