Ryan D. Risgaard

This study uses single-nucleus multiomic sequencing to analyze gene expression and chromatin accessibility in the Down syndrome prefrontal cortex, revealing widespread dysregulation in metabolic, synaptic, and neuroinflammatory pathways.

The paper identifies human-specific transcriptomic and regulatory features in the cerebellum, including ZP2's role in synapse development and regulation.

The paper introduces STRATA, a machine learning framework that estimates cell type proportions from MRI data, validated across disease models and species.

The paper constructs a gene regulatory network resource across species and brain regions to study neurogenesis dynamics and their links to neurodevelopmental disorders.

The paper identifies genes and regulatory networks driving electrophysiological maturation of neurons in primate prefrontal cortex, with implications for autism.

The paper uses single-nucleus sequencing to identify oxidative stress and metabolic changes in Down syndrome basal forebrain neurons at birth.

The paper identifies mammalian-specific gene regulatory elements and their role in neocortical neuron subtype diversity and connectivity, linking them to neurodevelopmental disorders.

The paper uses autofluorescence imaging to identify and track neural stem cell activation states in vitro and in vivo, linking it to transcriptional features and cell behavior.

The paper characterizes the evolution of the brain N-glycome across primates, finding increased complexity and human-specific sialic acid linkage changes.

Directly-reprogrammed human neurons show reduced neurite growth ability with age, mirroring rodent developmental patterns.

BOMA identifies conserved and specific developmental gene expression programs between human brains and organoids at cellular resolution.