G. Vallardi

Learning the rules of cell competition without prior scientific knowledge

This paper develops a deep learning model to learn the rules of cell competition from time-lapse microscopy data and identifies cell density as the key factor in determining cell fate.

Cell-scale biophysical determinants of cell competition in epithelia

The paper constructs a multi-scale agent-based model to study cell competition in epithelia, finding that mechanical competition depends on homeostatic density differences while biochemical competition depends on tissue organisation.

Automated deep lineage tree analysis using a Bayesian single cell tracking approach

This paper introduces an automated deep lineage tree analysis method using Bayesian single-cell tracking to study cell cycle heritability in live-cell imaging data.

A spatio-temporal mathematical model for the dynamics of paclitaxel in cell monolayers.

The paper presents a spatio-temporal mathematical model for paclitaxel dynamics in cell monolayers but retracts due to fundamental issues in the ODE/PDE implementation.

PP1 and PP2A use opposite phospho-dependencies to control distinct processes at the kinetochore

The paper shows PP1 and PP2A-B56 use opposite phospho-dependencies to control distinct mitotic processes at the kinetochore through differential kinase input responses.

Division of labour between different PP2A-B56 complexes during mitosis

This study identifies how different PP2A-B56 isoforms localise to distinct mitotic structures through specific protein interactions, controlling key mitotic processes.