Sen Lin

This study uses single-cell RNA sequencing to analyze human retinal samples and identifies microglial states and neural-immune interactions in diabetic retinopathy.

The paper constructs a single-cell transcriptomic atlas of the human retina from Chinese donors, identifying 10 cell types and subtypes, and mapping their molecular programs and biological functions.

The paper identifies cell-type-specific biomarkers for diabetic retinopathy using single-cell transcriptomics and machine learning, achieving high classification accuracy across disease states.

This study identifies 13 genetic loci associated with gout using GWAS in the UK Biobank, with four novel loci, and finds sex-specific genetic influences and associations with metabolic and immune traits.