Low dimensionality of phenotypic space as an emergent property of coordinated teams in biological regulatory networks.

ABSTRACT: Cell-fate decisions involve coordinated genome-wide expression changes, typically leading to a limited number of phenotypes. Although often modeled as simple toggle switches, these rather simplistic representations often disregard the complexity of regulatory networks governing these changes. Here, we unravel design principles underlying complex cell decision-making networks in multiple contexts. We show that the emergent dynamics of these networks and corresponding transcriptomic data are consistently low-dimensional, as quantified by the variance explained by principal component 1 (PC1). This low dimensionality in phenotypic space arises from extensive feedback loops in these networks arranged to effectively enable the formation of two teams of mutually inhibiting nodes. We use team stre

SUBMITTER: Hari K 

PROVIDER: S-EPMC11787609 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature