Maya L. Gosztyla

The paper introduces scGENet, a framework to generate interpretable gene networks from single-cell foundation models, revealing conserved neurogenic dysfunction in Parkinson's disease.

HydRA predicts RNA-binding capacity using protein interaction and sequence data, identifying novel RNA-binding domains with high specificity and sensitivity.

This study develops a CRISPR-Cas13d system targeting CAG-expanded HTT RNA in HD models, reducing mutant mRNA and reversing disease phenotypes without significant off-target effects.

The paper integrates protein imaging and interaction data to create a unified map of eukaryotic cell structure, revealing new subcellular systems and protein associations.