Anna Danese

This study develops human cerebral assembloids to model glioblastoma interactions with glial cells, revealing extracellular vesicles' role in peritumoral niche formation.

The paper identifies ECM remodeling differences between slowly and rapidly dividing RGCs that regulate aNSC emergence and pool size through in vivo perturbation and single-cell RNA-sequencing.

SEAGALL uses geometry-aware graph attention networks to extract biologically relevant features from single-cell data, revealing cell identity drivers beyond marker genes.

The paper uses SLAM-seq and scRNA-seq to show RNA processing and stability independently influence mRNA levels in African trypanosomes.

BBKNN, Scanorama, and scVI lead complex scRNA-seq integration in a 38-setup, nine-task, 14-metric benchmark; highly variable gene selection helps, whereas scaling favors batch removal over bio-conservation.

epiScanpy enables analysis of single-cell DNA methylation and ATAC-seq data using scanpy workflows, showing epigenetic markers enrich cell type labels.

The paper develops a single-nucleus RNA-seq2 method to study ploidy and spatial zonation in hepatocytes, finding gene expression in tetraploid cells depends on their hepatic lobe position.