Sheina Piyanzin

This paper detects neuronal DNA in cfDNA using non-CpG methylation patterns, finding elevated levels in neurological conditions and brain-dead donors.

The paper shows that DNA methylation changes at clustered CpG sites encode chronological age with high accuracy using deep learning on blood samples.

The paper uses immune cell type-specific methylation patterns in circulating cell-free DNA to monitor immune dynamics and find that immune-derived cfDNA levels reflect immune homeostasis and predict immune responses to perturbations.

The paper identifies methylation patterns specific to intestinal epithelial cells to detect cell-free DNA in plasma, showing increased levels in advanced CRC compared to IBD and PDAC.