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

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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.

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APA

Tanida, S., Fuji, K., Lu, L., Guyomar, T., Lee, B. H., Honigmann, A., … Sano, M. (2025). Predicting organoid morphology through a phase field model: Insights into cell division and lumenal pressure. PLOS Computational Biology, 21(8 August). https://doi.org/10.1371/journal.pcbi.1012090

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