Statistical Mechanics Models of Chromatin Architecture

We considered phenomena that recent quantitative biological data are unveiling to happen in cell nucleus, by means of Statistical Mechanics tools. In particular we focused on genome spatial self-organization, and its striking connection with genetic expression process, hence with future perspective on disease studies. We lead our research efforts starting from biological data obtained by a direct collaboration with Ana Pombo's biologists group of London Imperial College and her working group. I've statistically characterized our proposed model for genome self-organization by means of massive Motecarlo Simulations. Furthermore I've analitically characterized a model predicting Symmetry Breaking mechanism for some observed phenomenologies into the nucleus.