Szabó András, Mayor Roberto
Department of Cell and Developmental Biology, University College London, Gower Street, London WC1E 6BT, UK.
Department of Cell and Developmental Biology, University College London, Gower Street, London WC1E 6BT, UK.
Curr Opin Cell Biol. 2016 Oct;42:22-28. doi: 10.1016/j.ceb.2016.03.023. Epub 2016 Apr 13.
Collective cell migration has emerged in the recent decade as an important phenomenon in cell and developmental biology and can be defined as the coordinated and cooperative movement of groups of cells. Most studies concentrate on tightly connected epithelial tissues, even though collective migration does not require a constant physical contact. Movement of mesenchymal cells is more independent, making their emergent collective behaviour less intuitive and therefore lending importance to computational modelling. Here we focus on such modelling efforts that aim to understand the collective migration of neural crest cells, a mesenchymal embryonic population that migrates large distances as a group during early vertebrate development. By comparing different models of neural crest migration, we emphasize the similarity and complementary nature of these approaches and suggest a future direction for the field. The principles derived from neural crest modelling could aid understanding the collective migration of other mesenchymal cell types.
在过去十年中,集体细胞迁移已成为细胞生物学和发育生物学中的一个重要现象,可定义为细胞群体的协调合作运动。尽管集体迁移并不需要持续的物理接触,但大多数研究都集中在紧密连接的上皮组织上。间充质细胞的运动更加独立,这使得它们出现的集体行为不那么直观,因此计算建模变得尤为重要。在这里,我们专注于此类建模工作,旨在了解神经嵴细胞的集体迁移,神经嵴细胞是一种间充质胚胎细胞群体,在脊椎动物早期发育过程中会成群地远距离迁移。通过比较不同的神经嵴迁移模型,我们强调了这些方法的相似性和互补性,并为该领域提出了未来的方向。从神经嵴建模中得出的原理有助于理解其他间充质细胞类型的集体迁移。