A mathematical model of cell fate selection on a dynamic tissue

Multicellular tissues are the building blocks of many biological systems and organs. These not static, but dynamically change over time. Even if overall structure remains same there is a turnover cells within tissue. This dynamic homeostasis maintaned by numerous governing mechanisms which finely tuned in such way that tissue homeostatic state, even across large timescales. Some these include cell motion, fate selection through inter cellular signalling. However, it yet clear how to link two processes, or they may affect one another In this paper, we present multicellular, multiscale model, brings together phenomena motility, signalling, describe on We find affinity for signalling occur greatly influences ability differentiate. also our results support claims differentiation process at homeostasis, with excessive rates leading unhealthy (undifferentiated unpatterned) tissues.