Giorgio Gaglia

The paper uses single-cell transcriptomics and neural network classifiers to identify B cell signaling as critical for NK cell expansion in allogenic therapy.

The paper inhibits Elovl1 in a mouse model of ALD to reduce VLCFA accumulation, finding it corrects lipid pathways but also causes unexpected transcriptional changes.

This study develops an AAV vector for ARSA gene replacement in MLD, showing improved brain biodistribution and therapeutic effects in mice and non-human primates.

This study identifies glial state changes and RIPK1 signaling as key features of ALS pathogenesis, showing that blocking RIPK1 delays disease onset and modulates glial responses.

This study investigates how scRNA-seq data can predict the clinical success of drug targets by analyzing cell type and disease-specific expression patterns.

The paper introduces GENIX, a platform for identifying perturbation-relevant genes using gene association networks, applied to influenza vaccine responses in COVID-19 recovered patients.

This study quantifies cell proliferation in tumors using multiplexed imaging and identifies spatial and temporal patterns of cell cycle regulation.