Department of Physics and BioInspired Syracuse, Syracuse University, Syracuse, New York, United States of America.
School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, China.
PLoS Comput Biol. 2024 Jan 5;20(1):e1011724. doi: 10.1371/journal.pcbi.1011724. eCollection 2024 Jan.
An important open question in the modeling of biological tissues is how to identify the right scale for coarse-graining, or equivalently, the right number of degrees of freedom. For confluent biological tissues, both vertex and Voronoi models, which differ only in their representation of the degrees of freedom, have effectively been used to predict behavior, including fluid-solid transitions and cell tissue compartmentalization, which are important for biological function. However, recent work in 2D has hinted that there may be differences between the two models in systems with heterotypic interfaces between two tissue types, and there is a burgeoning interest in 3D tissue models. Therefore, we compare the geometric structure and dynamic sorting behavior in mixtures of two cell types in both 3D vertex and Voronoi models. We find that while the cell shape indices exhibit similar trends in both models, the registration between cell centers and cell orientation at the boundary are significantly different between the two models. We demonstrate that these macroscopic differences are caused by changes to the cusp-like restoring forces introduced by the different representations of the degrees of freedom at the boundary, and that the Voronoi model is more strongly constrained by forces that are an artifact of the way the degrees of freedom are represented. This suggests that vertex models may be more appropriate for 3D simulations of tissues with heterotypic contacts.
生物组织建模中的一个重要开放性问题是如何确定粗粒化的正确尺度,或者等效地,确定正确的自由度数量。对于连通的生物组织,顶点模型和 Voronoi 模型都有效地用于预测行为,包括流体-固体转变和细胞组织分区,这对于生物功能很重要。然而,最近在 2D 方面的工作表明,在两种组织类型之间具有异型界面的系统中,两种模型之间可能存在差异,并且对 3D 组织模型的兴趣日益浓厚。因此,我们比较了两种模型中两种细胞类型混合物的几何结构和动态分类行为。我们发现,虽然细胞形状指数在两种模型中表现出相似的趋势,但细胞中心之间的注册和边界处的细胞方向在两种模型之间存在显著差异。我们证明这些宏观差异是由边界自由度不同表示方式引起的类尖点恢复力的变化引起的,并且 Voronoi 模型受到自由度表示方式引起的力的约束更强。这表明,在具有异型接触的 3D 组织模拟中,顶点模型可能更合适。