Lie Chen

The paper presents structures of hTRPC3 in resting and open states, revealing how the moonwalker mutation activates the channel by disrupting a polar interaction and inducing structural changes.

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 identifies cell-type-specific aging signatures in human retinal cells using single-cell RNA sequencing and machine learning, revealing molecular changes and vulnerabilities associated with aging.

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 generates a scRNA-seq reference atlas of living and early post-mortem human retina, revealing distinct transcriptional dynamics and a novel mlCone cluster.

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 analyzes the genomes of Bruneian Malays using WGS and genotyping data, identifying novel variants and genomic sequences, and revealing genetic relationships with Filipino groups.