Computational modelling of cell chain migration reveals mechanisms that sustain follow-the-leader behaviour.
Follow-the-leader chain migration is a striking cell migratory behaviour observed during vertebrate development, adult neurogenesis and cancer metastasis. Although cell-cell contact and extracellular matrix (ECM) cues have been proposed to promote this phenomenon, mechanisms that underlie chain migration persistence remain unclear. Here, we developed a quantitative agent-based modelling framework to test mechanistic hypotheses of chain migration persistence. We defined chain migration and its persistence based on evidence from the highly migratory neural crest model system, where cells within a chain extend and retract filopodia in short-lived cell contacts and move together as a collective. In our agent-based simulations, we began with a set of agents arranged as a chain and systematically probed the influence of model parameters to identify factors critical to the maintenance of the chain migration pattern. We discovered that chain migration persistence requires a high degree of directional bias in both lead and follower cells towards the target. Chain migration persistence was also promoted when lead cells maintained cell contact with followers, but not vice-versa. Finally, providing a path of least resistance in the ECM was not sufficient alone to drive chain persistence. Our results indicate that chain migration persistence depends on the interplay of directional cell movement and biased cell-cell contact.
Department of Molecular and Integrative Physiology and Center for Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Michelle L
ML
Wynn
Paul M
PM
Kulesa
Santiago
S
Schnell
D000818:Animals; D002450:Cell Communication / Q000502:physiology*; D002465:Cell Movement / Q000502:physiology*; D002642:Chick Embryo; D003198:Computer Simulation; D008954:Models, Biological; D009432:Neural Crest / Q000166:cytology / Q000196:embryology*; D055495:Neurogenesis / Q000502:physiology*