Using mathematical approaches to answer complex biological questions: can exosomal miRnas predict cancer prognosis?
Year: 2025
Type: editorial
Abstract: 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.
Source: Tissue Barriers
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Funder: Anadolu Üniversitesi
Awards: G4395592215, G4643180942
OpenAlex ID: W7117745815
