Using mathematical approaches to answer complex biological questions: can exosomal miRnas predict cancer prognosis?
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 <i>in silico</i> tools and mathematical modeling can be used to understand complex biological phenomenon such as EMT.
Authors
- Oğuzhan Karaosmanoğlu (ORCID: https://orcid.org/0000-0003-2028-7339)
- Sepehr Bakhshi (ORCID: https://orcid.org/0000-0003-2292-6130)
- Aybar C. Acar (ORCID: https://orcid.org/0000-0001-5694-8675)
- Hülya Sivas (ORCID: https://orcid.org/0000-0002-8570-8328)
- Leman Nur Nehri (ORCID: https://orcid.org/0000-0003-3396-399X)
- Sreeparna Banerjee
- Olka Missaghi
Institutions
- Bilkent University (TR)
- Middle East Technical University (TR)
- Eskisehir Technical University (TR)
- Karamanoğlu Mehmetbey University (TR)
Publication Details
- Journal
- Tissue Barriers
- Published
- 2025-12-31
- DOI
- https://doi.org/10.1080/21688370.2025.2611205
- Primary Topic
- Extracellular vesicles in disease
- Type
- article
- Field-Weighted Citation Impact
- 0.00