The zoo of the gene networks capable of pattern formation by extracellular signaling

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Abstract

A fundamental question of developmental biology is pattern formation, or how cells with specific gene expression end up in specific locations in the body to form tissues, organs and, overall, functional anatomy. Pattern formation involves communication through extracellular signals and complex intracellular gene networks integrating these signals to determine cell responses (e.g., further signaling, cell division, cell differentiation, etc.). In this article we address two question: 1) Are there any logical or mathematical principles determining which gene network topologies can lead to pattern formation by cell signaling over space in multicellular systems? 2) Can gene network topologies be classified into a small number of classes that entail similar dynamics and pattern transformation capacities?

We combine logical arguments and mathematical proofs to show that, despite the large amount of formally possible gene network topologies, all gene network topologies capable of pattern formation fall into only three fundamental classes and their combinations. Additionally, we show that gene networks within each class share the same logic on how they lead to pattern formation and hence, lead to similar patterns. We characterize the main features of each class. This zoo includes the complete gene networks that, to the best of our knowledge, have been experimentally reported to lead to pattern formation as well as other gene networks that have not yet been found experimentally.

Significance Statement

Pattern formation is a central problem in developmental biology, yet the principles linking gene regulatory network topology to spatial patterning in multicellular systems are not fully understood. In this work, we identify logical and mathematical principles that determine which gene regulatory network topologies can give rise to spatial pattern formation through extracellular signaling. We further show that these topologies can be systematically classified into a small number of fundamental classes associated with distinct dynamical behaviors. Despite the vast number of a priori possible gene network configurations, the gene networks capable of stationary pattern formation fall into just three fundamental topological classes and their combinations. Gene networks within each class implement a common patterning logic and consequently generate analogous pattern transformations, revealing a unifying organizational framework underlying biological pattern formation.

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