Department of Mathematics, Ohio University, Athens, Ohio, 45701, United States of America.
Department of Mathematical Sciences, Montana State University, Bozeman, Montana, 59717, United States of America.
PLoS One. 2018 Nov 7;13(11):e0205834. doi: 10.1371/journal.pone.0205834. eCollection 2018.
The cross-section of a cell in a monolayer epithelial tissue can be modeled mathematically as a k-sided polygon. Empirically studied distributions of the proportions of k-sided cells in epithelia show remarkable similarities in a wide range of evolutionarily distant organisms. A variety of mathematical models have been proposed for explaining this phenomenon. The highly parsimonious simulation model of (Patel et al., PLoS Comput. Biol., 2009) that takes into account only the number of sides of a given cell and cell division already achieves a remarkably good fit with empirical distributions from Drosophila, Hydra, Xenopus, Cucumber, and Anagallis. Within the same modeling framework as in that paper, we introduce additional options for the choice of the endpoints of the cleavage plane that appear to be biologically more realistic. By taking the same data sets as our benchmarks, we found that combinations of some of our new options consistently gave better fits with each of these data sets than previously studied ones. Both our algorithm and simulation data are made available as research tools for future investigations.
单层上皮组织中细胞的横截面可以用数学方法建模为 k 边形多边形。在广泛的进化距离不同的生物体中,对上皮细胞中 k 边形细胞比例的经验研究分布显示出显著的相似性。已经提出了多种数学模型来解释这一现象。(Patel 等人,PLoS Comput Biol.,2009)提出的高度简约的模拟模型只考虑给定细胞的边数和细胞分裂,已经与果蝇、水螅、爪蟾、黄瓜和半边莲的经验分布非常吻合。在与该论文相同的建模框架内,我们为分裂面端点的选择引入了其他一些选项,这些选项似乎更符合生物学实际。通过使用相同的数据集作为基准,我们发现我们的一些新选项的组合在与每个数据集的拟合方面都比以前研究的选项更好。我们的算法和模拟数据都作为未来研究的工具提供。