Suijuan Zhong

This study examines DCX knockout ferrets to understand neurogenic mechanisms in cortical development and reveals phenotypes resembling human lissencephaly.

CellCUT improves spatial transcriptomics by accurately segmenting cells and assigning transcripts using nuclear images, outperforming existing methods in diverse tissues and challenging data conditions.

This study creates a single-cell transcriptome atlas of human and macaque retinas across ages, revealing species-specific molecular features and age-related changes in cell types and disease associations.

This paper develops vascularized human cortical organoids that model cortical development and show synaptic activity and integration potential in vivo.

This study uses scRNA-Seq to analyze human and mouse retinal development, identifying conserved and species-specific gene expression patterns and a novel role for ATOH7 in photoreceptor specification.

This study uses single-cell RNA-seq to analyze human fetal retinal development, revealing transcriptional programs and developmental trajectories of retinal cell types.