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Multidisciplinary approaches to understanding collective cell migration in developmental biology

机译:了解发育生物学中集体细胞迁移的多学科方法

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Mathematical models are becoming increasingly integrated with experimental efforts in the study of biological systems. Collective cell migration in developmental biology is a particularly fruitful application area for the development of theoretical models to predict the behaviour of complex multicellular systems with many interacting parts. In this context, mathematical models provide a tool to assess the consistency of experimental observations with testable mechanistic hypotheses. In this review, we showcase examples from recent years of multidisciplinary investigations of neural crest cell migration. The neural crest model system has been used to study how collective migration of cell populations is shaped by cell–cell interactions, cell–environmental interactions and heterogeneity between cells. The wide range of emergent behaviours exhibited by neural crest cells in different embryonal locations and in different organisms helps us chart out the spectrum of collective cell migration. At the same time, this diversity in migratory characteristics highlights the need to reconcile or unify the array of currently hypothesized mechanisms through the next generation of experimental data and generalized theoretical descriptions.
机译:在生物系统的研究中,数学模型与实验工作越来越紧密地结合在一起。发育生物学中的集体细胞迁移是开发理论模型以预测具有许多相互作用部分的复杂多细胞系统行为的特别富有成果的应用领域。在这种情况下,数学模型提供了一种工具来评估实验观察与可检验的机械假设的一致性。在这篇综述中,我们展示了近年来神经rest细胞迁移的多学科研究的例子。神经c模型系统已被用于研究细胞群体的集体迁移是如何通过细胞间相互作用,细胞间环境相互作用和细胞间异质性而形成的。神经rest细胞在不同的胚胎位置和在不同的生物体中表现出的各种各样的新兴行为有助于我们绘制出集体细胞迁移的谱图。同时,迁徙特征的这种多样性凸显了通过下一代实验数据和广义理论描述来调和或统一当前假设的机制的必要性。

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