Our research group develops and applies inferential modeling frameworks for characterizing phenotypic diversity, including cell populations undergoing an Epithelial to Mesenchymal Transition (EMT). EMT is a dynamic and reversible process that occurs during embryogenesis, wound healing, and also cancer progression. Our group pioneered one of the commonly used gene expression-based EMT scoring metrics to quantifying a biological sample’s location on the Epithelial-Mesenchymal (EM) phenotypic spectrum.
We have more recently identified a dynamical model of EMT progression using time course data to infer the forward and revere transition rates through EMT as a function of cell type and EMT induction. We continue to apply and refine these models through joint basic science and clinical collaboration, and are developing these models into open-source modeling tools for the scientific community.