Team Keller

PD is linked to aging, but the molecular mechanisms remain unclear. We collected a comprehensive multi-omics dataset, integrating millions of brain and blood cells from humans, mice, and macaques. We developed efficient software solutions to analyze them at unprecedented scale, including age-, sex- or cell type specific trajectories. By combining cutting-edge machine learning we will identify key genes and small RNAs driving PD in the context of ageing, at best conserved in human, mice and non-human primates (NHPs). We will validate the cascades in human brain tissue and by functional genomics in aged and PD animal models and patient derived iPSCs.