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Found 5 papers, 1 papers with code
Quantifying cancer epithelial-mesenchymal plasticity and its association with stemness and immune response
In this review, we first discuss recent efforts combining theoretical and experimental approaches to elucidate mechanisms underlying EMT multi-stability (i. e. the existence of multiple stable phenotypes during EMT) and the properties of hybrid E/M phenotypes.
Mathematical Modeling of Plasticity and Heterogeneity in EMT
Epithelial-Mesenchymal Transition (EMT), and the corresponding reverse process, Mesenchymal-Epithelial Transition (MET), are dynamic and reversible cellular programs orchestrated by many changes at biochemical and morphological levels.
Understanding the principles of pattern formation driven by Notch signaling by integrating experiments and theoretical models
Notch signaling is an evolutionary conserved cell-cell communication pathway.
Towards decoding the coupled decision-making of metabolism and epithelial-mesenchymal transition in cancer
Cancer cells have the plasticity to adjust their metabolic phenotypes for survival and metastasis.
Theoretical and computational tools to model multistable gene regulatory networks
The last decade has witnessed a surge of theoretical and computational models to describe the dynamics of complex gene regulatory networks, and how these interactions can give rise to multistable and heterogeneous cell populations.
