Leonardo D. Garma

This paper introduces a breast-specific epigenetic clock (BTEC) that accurately predicts chronological age and reveals age-related DNA methylation changes in breast tumors and adjacent tissues.

The paper uses snRNA-seq and spatial transcriptomics to study oligodendroglia in Parkinson's disease, identifying disease-specific subclasses and transcriptomic changes linked to myelin integrity and cell communication.

This study develops a cost-effective, printed graphene-based platform for in vitro cardiac electrophysiology, demonstrating its ability to record electrophysiological activity and respond to chemical stimulation.

The paper shows mechanical cues induce nuclear remodeling linked to radial glia-like competence across species, using a model based on nuclear geometry and cell density.

The paper evaluates how new DNA methylation arrays affect existing epigenetic age models and develops a cross-compatible model for 450k, EPICv1, and EPICv2 arrays.

The paper uses snRNA-seq to identify eight interneuron classes in the human dorsal striatum, validates markers with in situ hybridization, and compares them to mouse interneurons.