Sarah Adigwe

Gene Regulatory Networks that support Multi-Fate Cellular Decisions

This study identifies network structures that support multi-fate cellular decisions by analyzing gene regulatory networks using monotone Boolean models.

Fixed points and multistability in monotone Boolean network models

The paper analyzes monotone Boolean network models of gene regulatory networks to identify common steady states and multistability patterns, showing epithelial and mesenchymal states are most common in the EMT network.

Emergent dynamics of cellular decision making in multi-node mutually repressive regulatory networks

This study investigates toggle-n networks to understand the dynamics of differentiation into multiple cell states, showing co-expression of transcription factors and the role of cytokine signaling and regulatory asymmetry.