Systems Biology
- Details
- Contributed by Emanuele Giordano
Multidisciplinary approaches prove to be helpful to investigate microenvironmental signals driving cancer cell molecular phenotype. Epithelial to Mesenchymal transition (EMT) has a pivotal role in cancer progression and metastasis formation. Coupling in silico and in vitro analyses, this manuscript gains an insight in the signal transduction cascades driven by a stiff extracellular matrix to ...
- Details
- Published in Systems Biology
- Details
- Contributed by Marilisa Cortese
3D cell cultures are becoming increasingly common in-vitro approaches to study cell behaviour in more accurate and realistic settings. The experimental study of these systems, however, is complicated by the lack of non-destructive methods for the quantification of relevant properties like cell density and spatial distribution. Computational simulations can be used to address this limitation and ...
- Details
- Published in Systems Biology
- Details
- Contributed by Marilisa Cortese
Computational representation of complex biological processes is becoming an increasingly established approach to complement the experimental analysis and study methods to halt/redirect pathological processes. In this review paper we focus on Epithelial to Mesenchymal transition (EMT), a phenotypic transformation with a pivotal role in cancer progression and metastases formation, and present a ...
- Details
- Published in Systems Biology
- Details
- Contributed by Marilisa Cortese
Epithelial to Mesenchymal transition (EMT) is an exceedingly complex biological process that plays a key role in cancer progression and metastases formation. To unravel this complexity and isolate specific genetic markers important for this transition, we have developed a computational model recapitulating both single cell and population behaviours. The former was represented with a boolean ...
- Details
- Published in Systems Biology