Madeleine N. Hewitt

The paper develops a cross-species enhancer-AAV toolkit for targeting specific cell types in the basal ganglia across species, validated in mouse and macaque.

SCALPEL processes large-scale spatial transcriptomics data with improved 3D segmentation, doublet detection, and spatial alignment, showing better performance than previous methods.

The paper creates a cross-species spinal cord cell type atlas integrating data from mouse, macaque, and human, identifying conserved and species-specific features.

The paper defines major axes of human basal ganglia astrocyte specialization using a multimodal atlas and identifies enhancer code for targeted viral tools.

The paper creates a cross-species consensus atlas of primate basal ganglia cell types using multiomic data from human, macaque, and marmoset, identifying 61 conserved cell types and a novel hybrid medium spiny neuron type.

This paper creates a cross-species spatial transcriptomic atlas of the basal ganglia in human, rhesus macaque, and common marmoset, revealing conserved molecular organization and cell type-specific compartments.

The paper uses 3D cell shape analysis in zebrafish neuromasts to identify shape-fate relationships, finding that hair cells have distinct shapes compared to support cells.

This study identifies Merkel cells in zebrafish, shows their origin and characteristics, and demonstrates their relationship with dermal appendages during skin development.