Tuesday, 03 Oct 2023

Systems Biology

Microenvironmental signals control hybrid EMT phenotypes

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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)

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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

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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

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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 ...