Gabriele Picco

The paper uses CRISPR base editing and structural analysis to identify functional residues in the PI3K pathway, revealing potential drug targets and allosteric pockets.

This paper develops a continual learning framework to map colorectal cancer cell states to causal mechanisms through integration of single-cell data and perturbation experiments.

The paper identifies CHD1 and MAP3K7 as mediators of cancer immunotherapy resistance through CRISPR screens and shows their potential as biomarkers for immunotherapy response.

This study identifies on-target WRN mutations as resistance mechanisms in MSI cancer cells to WRN helicase inhibitors and suggests combination therapies to prevent resistance.

The paper designs a smaller genome-wide CRISPR-Cas9 library with reduced size while maintaining sensitivity and specificity, enhancing its applicability in complex models.

This study integrates drug sensitivity data with CRISPR screens to identify drug mechanisms and biomarkers for cancer therapy.