Ken Y. Chan

The paper describes BI-TfR1 CapX, a gene delivery vector that efficiently crosses the blood-brain barrier, transduces CNS neurons and astrocytes, and reduces Prnp mRNA with low doses.

The paper compares microglia-targeted AAVs, finding that capsid choice affects in vitro efficiency but not in vivo transduction when using specific promoters.

The paper introduces Synapse-seq, a method to link transcriptomes to synaptic architecture by using protein-guided RNA barcoding, revealing new insights into neural connectivity and cell type-specific dendritic structures.

The paper develops a modified AAV capsid that targets the human Transferrin Receptor to enhance gene delivery to the CNS, showing improved reporter expression and therapeutic potential for Gaucher disease.

The paper analyzes single-nucleus RNA sequencing data from marmoset brain cells to show that neuronal identity is more influenced by developmental origin than functional class.

The paper creates a high-resolution spatial atlas of the mouse CNS by combining in situ sequencing with scRNA-seq data to map cell types and gene expression across the brain and spinal cord.

The paper introduces Fit4Function, a machine learning approach to engineer AAV capsids with multiple traits, achieving high transduction efficiency and cross-species prediction.

This paper identifies AAV capsids that target specific proteins on the blood-brain barrier, enhancing CNS tropism and enabling predictable gene delivery vectors.

The paper identifies LY6A as a novel receptor for AAV-PHP.B vectors, enabling efficient gene delivery across the blood-brain barrier in mice.

The paper identifies peripheral neural circuits regulating heart rate in mice using optogenetic and viral vector strategies, revealing distinct roles of cholinergic and noradrenergic neurons.

This paper describes a protocol for producing and administering AAV-PHP vectors to label and manipulate cells in the mouse nervous system and organs, with guidelines for experimental design.