A mathematical model for eph/ephrin-directed segregation of intermingled cells

• Published in: PloS one 2014-12, Vol.9 (12), p.e111803-e111803
• Main Authors: Aharon, Rotem, Janes, Peter W, Burgess, Anthony W, Hamza, Kais, Klebaner, Fima, Lackmann, Martin
• Format: Article
• Language: English
• Subjects: Adhesion; Biochemistry; Biology and Life Sciences; Brownian motion; Cell Adhesion; Cell adhesion & migration; Cell interactions; Cell migration; Cell morphology; Cell Movement; Cell surface; Computer and Information Sciences; Computer simulation; Cytology; Eph protein; Ephrins - metabolism; Gene Expression Regulation; HEK293 Cells; Humans; Kinases; Mathematical analysis; Mathematical models; Mathematical morphology; Models, Biological; Molecular biology; Morphology; Motility; Pattern formation; Populations; Receptors; Receptors, Eph Family - metabolism; Signal Transduction; Signaling; Stochastic Processes; Stochasticity; Tyrosine
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0111803

Eph receptors, the largest family of receptor tyrosine kinases, control cell-cell adhesion/de-adhesion, cell morphology and cell positioning through interaction with cell surface ephrin ligands. Bi-directional signalling from the Eph and ephrin complexes on interacting cells have a significant role in controlling normal tissue development and oncogenic tissue patterning. Eph-mediated tissue patterning is based on the fine-tuned balance of adhesion and de-adhesion reactions between distinct Eph- and ephrin-expressing cell populations, and adhesion within like populations (expressing either Eph or ephrin). Here we develop a stochastic, Lagrangian model that is based on Eph/ephrin biology: incorporating independent Brownian motion to describe cell movement and a deterministic term (the drift term) to represent repulsive and adhesive interactions between neighbouring cells. Comparison between the experimental and computer simulated Eph/ephrin cell patterning events shows that the model recapitulates the dynamics of cell-cell segregation and cell cluster formation. Moreover, by modulating the term for Eph/ephrin-mediated repulsion, the model can be tuned to match the actual behaviour of cells with different levels of Eph expression or activity. Together the results of our experiments and modelling suggest that the complexity of Eph/ephrin signalling mechanisms that control cell-cell interactions can be described well by a mathematical model with a single term balancing adhesion and de-adhesion between interacting cells. This model allows reliable prediction of Eph/ephrin-dependent control of cell patterning behaviour.