Maria Luisa Amaral

The paper uses single-cell epigenomics to study brain aging in mice, finding heterochromatin instability and transcription factor dysfunction across multiple brain regions and cell types.

The paper maps epigenetic and spatial transcriptomic changes in aging mouse brain using single-cell multi-omic data and develops deep-learning models to predict age-related gene expression changes.

The paper identifies 14,000 human craniofacial enhancers across developmental stages and shows 56% are conserved in mice, providing cell type- and stage-specific activity profiles.

The paper investigates chromatin architecture changes during human cardiomyocyte differentiation and identifies HERV-H retrotransposons as key regulators of TAD boundaries and gene regulation.