Endothelial Monolayer Dynamics
In this paper, we introduced a new model of an endothelial monolayer that can predict the formation of gaps in the monolayer. These gaps affect leackiness and can be exploited by transmigrating cancer cells. The code was developed by Jorge Escribano, a former visiting student and can be found here:
The paper is published here:
Chemotherapy and Cell Death
This paper introduces a new model of the interplay of p53 and XIAP dynamics to predict cell death in response to cancer therapy.
We have developed a bioinformatics workflow to analyse multi-omics data of the ageing heart.
The results can be explored on this interactive webpage:
The code is available here: Github
Image Analysis for Adherent Cells
Ultrastructure and metabolism of cardiomyocytes
In this project, we show how changes of the cardiomyocyte ultrastructure in diabetes affect the metabolism. This project is led by Shourya Gosh from the group of our collaborators Vijay Rajagopal from the University of Melbourne. Gianni contributed to this paper with a statistical analysis available here: Github
The paper can be found here: