Yumei Li

The paper generates a large-scale single-cell RNA-seq dataset of the mouse retina and integrates it with public data to create a comprehensive cell atlas.

The paper creates a comprehensive human retina cell atlas using single-cell multi-omics data, revealing over 110 cell types and their gene regulatory networks, and enables fine-mapping of GWAS and eQTL variants.

DeMixSC improves deconvolution accuracy by using single-cell RNA-seq and a benchmark dataset to account for technological discrepancies in complex tissue samples.

This paper presents a comprehensive single-cell multi-omics atlas of the human retina, integrating RNA-seq and ATAC-seq data to identify cell-type-specific cis-element-gene relationships and transcription factor regulons.

This study identifies 16 pathogenic structural variants in 16 IRD families using whole-genome sequencing, finding SVs contribute 2.1% to unresolved IRD cases but less than SNVs and indels.

The paper presents single cell RNA-seq data of the adult Drosophila eye, identifying novel marker genes and clusters for major cell types.

bindSC integrates single-cell multi-omics data accurately by aligning rows and columns without approximations, outperforming existing methods in various biological contexts.

The paper identifies a new retinal interneuron type, the Campana cell, that integrates rod and cone input and has features of both bipolar and amacrine cells.

This study uses single-nuclei RNA-seq to profile human retinal tissue, identifying cell-type-specific gene expression and improving disease gene prioritization compared to bulk RNA-seq and mouse models.

The paper shows that epigenetic changes allow some photoreceptor cells to survive longer during retinal degeneration in Spata7 mutant mice.