Helen Poldsam

The paper uses spatial transcriptomics and multiomic profiling to identify sex-specific neuron types and their functional roles in the mouse spinal cord.

This study quantifies persistent postural and motor deficits after spinal cord injury in mice using unbiased, high-speed video tracking and machine learning.

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 maps molecular features of human spinal cord dorsal and ventral horns, identifying neuronal types and sex-specific glial differences using single-nucleus sequencing and spatial transcriptomics.

The paper addresses missing gene expression data in scRNA-seq by improving read mapping, revealing more genes and biological insights in mouse and human datasets.