Sean K. Wang

This study designs cell type-specific AAV promoters using deep learning, outperforming rational approaches in mouse retinal cells and showing promise for human applications.

A genome-wide plasmid screen, Retain-seq, identifies thousands of CpG-rich promoter-like human elements that tether episomes to mitotic chromosomes, shape ecDNA structure, and lose function when methylated.

The paper presents a single-cell multi-omics atlas of human development and uses deep learning to analyze regulatory DNA motifs and their impact on chromatin accessibility and gene expression.

The paper creates a single-cell multiome atlas of RPE and choroid tissues to identify pathogenic variants and mechanisms in AMD using HiChIP, Activity-by-Contact, and STARR-seq.

This study identifies FAT3's role in bipolar cells for high-frequency light response in mouse retina, showing its necessity for synaptic localization of GRIK1.

The paper uses a single-cell multiome atlas of the human retina and deep learning to identify causal noncoding variants in eye diseases.

This study shows that enhancing CD47-SIRPα signaling protects cones in retinal degeneration models by promoting survival and preserving vision.