Epigenetic Landscape

How it works

Evidence quality

Highlighted claims

• Transitions among attractors are interpreted as cell-state transitions in an epigenetic landscape. — Dynamic network and epigenetic landscape model of a regulatory core underlying spontaneous immortalization and epithelial carcinogenesis
• Stochastic simulations recovered the same epithelial-to-senescent-to-mesenchymal stem-like progression reported for spontaneous immortalization. — Dynamic network and epigenetic landscape model of a regulatory core underlying spontaneous immortalization and epithelial carcinogenesis
• The stochastic epigenetic landscape model allowed each node to disobey its Boolean function with a specified error probability. — Dynamic network and epigenetic landscape model of a regulatory core underlying spontaneous immortalization and epithelial carcinogenesis
• The only global ordering with positive successive net transition rates was epithelial to senescent to mesenchymal stem-like. — Dynamic network and epigenetic landscape model of a regulatory core underlying spontaneous immortalization and epithelial carcinogenesis
• The ordered progression was stable across tested stochastic error probabilities. — Dynamic network and epigenetic landscape model of a regulatory core underlying spontaneous immortalization and epithelial carcinogenesis