Friday, 26 Feb 2021

Systems Biology

Microenvironmental signals control hybrid EMT phenotypes

Contributed by
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 ...

A Scaffold Simulator to study of cancer cell survival and 3D spatial distribution (SALSA)

Contributed by
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 ...

Computational models of Epithelial to Mesenchymal Transition

Contributed by

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 ...

Computational model of cell phenotype decision making

Contributed by

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 ...