Sandy S. C. Hung

This study optimizes AAV serotypes and promoters to specifically target Muller glial cells in rats, identifying ShH10Y and GFAP promoter as the most effective combination for in vivo delivery.

This study optimizes AAV serotypes and promoters to specifically target Müller glial cells in rats, identifying ShH10Y and GFAP promoter as the most effective combination for in vivo delivery.

The paper uses Iso-Seq to discover novel isoform variants in human retinal cells at single-cell resolution, identifying thousands of new transcripts and differential splicing patterns.

The paper uses AI to identify genes associated with intraocular pressure by analyzing morphological changes in trabecular meshwork cells after gene knockouts.

This study uses spatial transcriptomics to analyze human retinoblastoma, revealing tumor heterogeneity, cell-cell communication networks, and key signaling pathways involved in tumor progression.

This study uses gene knockouts and single-cell RNA sequencing to identify genetic networks contributing to elevated intraocular pressure in glaucoma.

This study shows that knocking out POLDIP2 in human RPE cells reduces mitochondrial superoxide levels, linking POLDIP2 to oxidative stress in AMD.

This study uses CRISPR interference to show that TMEM97 knockdown protects ARPE19 cells from oxidative stress-induced death, supporting its role in AMD pathobiology.

This study compares the performance of BGI and Illumina sequencing technologies for single-cell RNA-sequencing, finding that BGI outperforms Illumina in cell and gene detection but similar in gRNA detection.

The paper generates a human neural retina transcriptome atlas using single-cell RNA sequencing, identifying 18 cell types and revealing a novel role for MALAT1 in rod degeneration.

This study develops a self-destructing CRISPR/Cas system for retinal gene editing, showing reduced SpCas9 mRNA and improved safety without compromising on-target efficiency.

This paper introduces a cloning-free CRISPR/Cas9 method to induce gene expression, showing efficient activation of neural development genes in human cells.

This study identifies transcriptomic biomarkers in CD4+ and CD8+ T cells from GCA patients over 12 months, revealing gene-phenotype associations and potential prognostic indicators.