ArticleProceedings. Biological sciences2019
Force-based three-dimensional model predicts mechanical drivers of cell sorting.
Article in Proceedings. Biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Self-Assembly of Tooth Root Organoid from Postnatal Human Dental Stem Cells.Tissue engineering. Part A · 2024Article
- Differential cell motion: A mathematical model of anterior posterior sorting.Biophysical journal · 2023Article
- Adjusting the range of cell-cell communication enables fine-tuning of cell fate patterns from checkerboard to engulfing.Journal of mathematical biology · 2023Article
- Characterizing the Impact of Communication on Cellular and Collective Behavior Using a Three-Dimensional Multiscale Cellular Model.Entropy (Basel, Switzerland) · 2023Article
- Biophysical models of early mammalian embryogenesis.Stem cell reports · 2023Review
- Article
- Archetypal Architecture Construction, Patterning, and Scaling Invariance in a 3D Embryoid Body Differentiation Model.Frontiers in cell and developmental biology · 2022Article
- Modeling Epiblast Shape in Implanting Mammalian Embryos.Methods in molecular biology (Clifton, N.J.) · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Many biological processes, including tissue morphogenesis, are driven by cell sorting. However, the primary mechanical drivers of sorting in multicellular aggregates (MCAs) remain controversial, in part because there is no appropriate computational model to probe mechanical interactions between cells. To address this important issue, we developed a three-dimensional, local force-based simulation based on the subcellular element method. In our method, cells are modelled as collections of locally interacting force-bearing elements. We use the method to investigate the effects of tension and cell-cell adhesion on MCA sorting. We predict a minimum level of adhesion to produce inside-out sorting of two cell types, which is in excellent agreement with observations in several developmental systems. We also predict the level of tension asymmetry needed for robust sorting. The generality and flexibility of the method make it applicable to tissue self-organization in a myriad of other biological processes, such as tumorigenesis and embryogenesis.
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Registered trials
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