Work

A geometrical perspective on development

Year: 2023

Type: review

Abstract: 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.

Source: Development Growth & Differentiation

DOI: 10.1111/dgd.12855

Authors: Archishman Raju, Eric D. Siggia

Institutions: Tata Institute of Fundamental Research, National Centre for Biological Sciences, Rockefeller University

Language: English

Topic: Gene Regulatory Network Analysis

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: bronze

Funders: National Science Foundation, Simons Foundation

Award: Geometry, Genetics and Development