title: A mathematical model of collective cell migration in a three-dimensional, heterogeneous environment.
abstract: Cell migration is essential in animal development, homeostasis, and disease progression, but many questions remain unanswered about how this process is controlled. While many kinds of individual cell movements have been characterized, less effort has been directed towards understanding how clusters of cells migrate collectively through heterogeneous, cellular environments. To explore this, we have focused on the migration of the border cells during Drosophila egg development. In this case, a cluster of different cell types coalesce and traverse as a group between large cells, called nurse cells, in the center of the egg chamber. We have developed a new model for this collective cell migration based on the forces of adhesion, repulsion, migration and stochastic fluctuation to generate the movement of discrete cells. We implement the model using Identical Math Cells, or IMCs. IMCs can each represent one biological cell of the system, or can be aggregated using increased adhesion forces to model the dynamics of larger biological cells. The domain of interest is filled with IMCs, each assigned specific biophysical properties to mimic a diversity of cell types. Using this system, we have successfully simulated the migration of the border cell cluster through an environment filled with larger cells, which represent nurse cells. Interestingly, our simulations suggest that the forces utilized in this model are sufficient to produce behaviors of the cluster that are observed in vivo, such as rotation. Our framework was developed to capture a heterogeneous cell population, and our implementation strategy allows for diverse, but precise, initial position specification over a three- dimensional domain. Therefore, we believe that this model will be useful for not only examining aspects of Drosophila oogenesis, but also for modeling other two or three-dimensional systems that have multiple cell types and where investigating the forces between cells is of interest.
authors: Department of Mathematics and Statistics, University of Maryland Baltimore County, MD, USA.
authors: David P
authors: DP
authors: Stonko
authors: Department of Biological Sciences, University of Maryland Baltimore County, MD, USA.
authors: Lathiena
authors: L
authors: Manning
authors: Department of Biological Sciences, University of Maryland Baltimore County, MD, USA.
authors: Michelle
authors: M
authors: Starz-Gaiano
authors: Department of Mathematics and Statistics, University of Maryland Baltimore County, MD, USA.
authors: Bradford E
authors: BE
authors: Peercy
mesh_terms: D000818:Animals; D002448:Cell Adhesion; D019070:Cell Lineage / Q000502:physiology; D002465:Cell Movement / Q000502:physiology*; D016764:Cell Polarity; D003198:Computer Simulation; D004331:Drosophila melanogaster / Q000166:cytology* / Q000254:growth & development; D008954:Models, Biological; D015233:Models, Statistical; D009865:Oocytes / Q000166:cytology* / Q000502:physiology; D009866:Oogenesis / Q000502:physiology*; D013269:Stochastic Processes