Epithelial to mesenchymal transition (EMT) has been widely implicated in diverse cellular processes such as development, would healing, as well as in cancer metastasis and therapy resistance. Exosomes are nanosized vesicles that carry cellular products and are known to mediate cell-cell communication. We describe here how a systems biology approach relying on simple experimental data in combination with in silico tools and mathematical modeling can be used to understand complex biological phenomenon such as EMT.
Keywords: Bayesian network; EMT; cell junction; exosome; miRNA; modeling; prognosis.