Multidisciplinary approaches to understanding collective cell migration in developmental biology.
Multidisciplinary approaches to understanding collective cell migration in developmental biology.
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DOI：
10.1098/rsob.160056
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发表时间：
2016-06
期刊：
影响因子：
5.8
通讯作者：
Maini PK
中科院分区：
文献类型：
--
作者：
Schumacher LJ;Kulesa PM;McLennan R;Baker RE;Maini PK
在生物系统的研究中，数学模型与实验工作的结合日益紧密。在发育生物学中，集体细胞迁移是理论模型发展的一个特别富有成效的应用领域，这些理论模型用于预测具有许多相互作用部分的复杂多细胞系统的行为。在此背景下，数学模型提供了一种工具，用于评估实验观察结果与可检验的机制假设是否一致。在这篇综述中，我们展示了近年来对神经嵴细胞迁移进行多学科研究的实例。神经嵴模型系统已被用于研究细胞群体的集体迁移是如何由细胞 - 细胞相互作用、细胞 - 环境相互作用以及细胞间的异质性所塑造的。神经嵴细胞在不同胚胎位置以及不同生物体中表现出的广泛的涌现行为帮助我们描绘出集体细胞迁移的范围。同时，这种迁移特征的多样性凸显了通过下一代实验数据和广义的理论描述来协调或统一当前一系列假设机制的必要性。
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.