TitleA geometrical perspective on development.
Publication TypeJournal Article
Year of Publication2023
AuthorsRaju A, Siggia ED
JournalDev Growth Differ
Date Published2023 May 16

Cell fate decisions emerge as a consequence of a complex set of gene regulatory networks. Models of these networks are known to have more parameters than data can determine. Recent work, inspired by Waddington's metaphor of a landscape, has instead tried to understand the geometry of gene regulatory networks. Here, we describe recent results on the appropriate mathematical framework for constructing these landscapes. This allows the construction of minimally parameterized models consistent with cell behavior. We review existing examples where geometrical models have been used to fit experimental data on cell fate and describe how spatial interactions between cells can be understood geometrically.

Alternate JournalDev Growth Differ
PubMed ID37190845