Chiara Pavan

The paper introduces NeuroGuard, a suicide gene system that selectively eliminates non-neuronal cells after transplantation, enhancing the safety and predictability of cell therapies.

This study identifies Netrin-1 as a DA-specific cue that enhances graft integration and functional recovery in Parkinsonian models without off-target effects.

The paper uses machine learning to analyze neuronal morphology in Parkinson's disease iPSC-derived neurons, identifying genotype-specific mitochondrial and lysosomal abnormalities.

FLAMESv2 is a flexible R/Bioconductor package for analyzing long-read single-cell RNA-seq data, demonstrating field-leading performance in isoform analysis and cell-type identification.

This study compares dopamine and cortical neurons with PD mutations to identify cellular dysfunctions linked to different pathological phenotypes.