Multidisciplinary approaches to understanding collective cell migration in developmental biology

Journal article

Mathematical models are becoming increasingly integrated with experimental efforts in the study of biological systems. Collective cell migration in developmental biology provides a particularly fruitful application area for the development and application of theoretical models to predict the behaviour of complex multicellular systems with many interacting parts. By doing so, mathematical models provide a tool to assess the consistency of experimental observations with testable mechanistic hypotheses. In this review article 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 hypothesised mechanisms through the next generation of experimental data and generalised theoretical descriptions.

Authors: Schumacher, L; Kulesa, P; McLennan, R; Baker, R; Maini, P

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Royal Society
• Journal: Open Biology
• Volume: 6
• Article number: 160056
• Publication date: 2016-01-01
• Acceptance date: 2016-04-12
• DOI: 10.1098/rsob.160056
• ISSN: 2046-2441
• Keywords: mathematical modelling; neural crest; developmental biology; collective cell migration