Figure 2.

A variety of tissue and expression patterns emerge from the Pareto optimality framework with a cell-cell communication mechanism of lateral inhibition

(A) Theoretical framework of Pareto optimality with cell-cell interactions—cell $c$’s performance is affected by the performance of its neighboring cells in the tissue, $N_c$. The total performance function, $F$, is a product over the tasks, where the performance in each task is the sum over the contribution of all cells considering a self-component ($P_t$) and the effect of interaction with nearby cells ($H_t$).

(B) Simulation results of lateral inhibition in expression and tissue space. Varying the range of cellular interactions produces diverse tissue patterns akin to patterns observed in real tissues.