Ettore Mosca

The paper analyzes the proteome of Ciona intestinalis during metamorphosis to identify molecular pathways shared between physiological and pathological neurodegeneration.

The paper introduces Ulisse, a method to analyze altered intracellular and intercellular crosstalk from omics data, applied to triple negative breast cancer using single-cell RNA sequencing.

This study identifies BMI1 as a driver of Osimertinib resistance in NSCLC by promoting mitotic instability and aggressiveness, and shows that targeting BMI1 with Unesbulin can suppress tumor growth.

This study identifies a metabolic adaptation in osimertinib-resistant NSCLC cells involving acetate production via a PAA shunt, which supports redox balance and bioenergetics.

This study identifies metabolic reprogramming in osimertinib-resistant EGFR-mutant NSCLC, highlighting the pyruvate-acetaldehyde-acetate pathway and mitochondromic alterations as key drivers of resistance.

MargheRita streamlines MS-DIAL output analysis and metabolite identification in R by providing a comprehensive pipeline for LC-MS/MS data, enhancing fragment matching accuracy with a curated spectral library.

scMuffin is an R package that analyzes single-cell expression data to identify tumor heterogeneity, cell identities, and genomic aberrations in solid tumors.