Marco Mignardi

GIFT enables high-accuracy genotyping in single cells, revealing mutation-dependent hematopoietic responses in MPN patients.

This study uses single-cell RNA-sequencing to analyze cell type-specific responses to young or aged blood in heterochronic parabiosis, identifying mitochondrial function as a key factor in rejuvenation.

The paper uses single-cell RNA sequencing to map gene expression changes in the human endometrium across the menstrual cycle, identifying distinct cell types and their transcriptional signatures.

The paper develops a tool to analyze spatial gene expression correlations in tissue sections, applied to human fetal pancreas development.

The paper creates a single-cell transcriptomic atlas of 20 mouse organs and tissues, providing a resource for studying gene expression across cell types.

This study uses single-cell RNA-seq to analyze human pancreatic cells across age, identifying transcriptional instability and age-related mutational signatures linked to oxidative stress.

This study uses single-cell RNAseq to analyze infiltrating neoplastic cells in human glioblastoma, identifying consistent gene signatures and distinct myeloid cell populations across patients.