A Broad Dynamical Model for Pattern Formation by Lateral Inhibition

TL;DR

This paper introduces an abstract dynamical model for lateral inhibition in cell signaling, demonstrating how specific features of the model lead to pattern formation in biological tissues.

Contribution

It presents a novel, simplified dynamical model capturing key aspects of lateral inhibition and uses dynamical systems analysis to explain pattern formation mechanisms.

Findings

Model successfully reproduces patterning phenomena

Dynamical analysis reveals stability conditions for patterns

Provides a framework for understanding cell fate decisions

Abstract

Many patterning events in multi-cellular organisms rely on cell-to-cell contact signaling, such as the Notch pathway in metazoans. A particularly interesting phenomenon in this form of communication is lateral inhibition where a cell that adopts a particular fate inhibits its immediate neighbors from doing the same. Dynamical models are of great interest for understanding the circuit topologies involved in lateral inhibition and for predicting the associated patterns. Several simplified models have been employed for Notch signalling pathways in the literature. The objective of this paper is to present an abstract dynamical model that captures the essential features of lateral inhibition and to demonstrate with dynamical systems techniques that these features indeed lead to patterning.