Luca Fiorillo

The paper compares super-enhancer networks in embryonic stem cells and dopaminergic neurons, revealing their structural differences and functional roles in transcriptional regulation.

The paper uses machine learning and polymer physics to infer 3D chromatin architecture from Hi-C data and shows how 1D epigenetic patterns encode this structure through combinatorial binding site arrangements.

The paper uses polymer physics models to show that chromatin folding variability in single cells arises from phase separation driven by chromatin factor interactions.

The paper investigates cell-type specific 3D chromatin structures in the brain using immunoGAM, finding TAD melting, neuron-specific contacts, and compartmentalization patterns related to gene expression and neurodegenerative diseases.