ArticleNature communications2019
Single-nuclei RNA-seq on human retinal tissue provides improved transcriptome profiling.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.
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Who cites it
78 citing papers in PubMed.
- Single-Nucleus RNA Sequencing Highlights Endothelial and Müller Cell ER Stress During Retinal Neovascularization in Vldlr-/- Mouse.Investigative ophthalmology & visual science · 2026Article
- Paired DNA and RNA sequencing uncovers common and rare variation regulating human retinal gene expression.Nature communications · 2026Article
- Interrogating the dependency of AAV capsids on AAVR for retinal transduction.Molecular therapy. Advances · 2026Article
- Characterization of hydrolase activity in ocular tissues of humans and preclinical species.Drug metabolism and disposition: the biological fate of chemicals · 2025Article
- The Advance of Single-Cell RNA Sequencing Applications in Ocular Physiology and Disease Research.Biomolecules · 2025Review
- Spatiotemporally resolved transcriptomics reveals the cellular dynamics of human retinal development.Nature communications · 2025Article
- A single-nucleus RNA sequencing atlas of the postnatal retina of the shark Scyliorhinus canicula.Scientific data · 2025Article
- A deconvolution framework that uses single-cell sequencing plus a small benchmark data set for accurate analysis of cell type ratios in complex tissue samples.Genome research · 2025Article
- scQA: A dual-perspective cell type identification model for single cell transcriptome data.Computational and structural biotechnology journal · 2024Article
- Ovariectomy drives increase of an ECM transcription signature in the posterior eye and retina.Vision research · 2024Article
- Comprehensive single-cell atlas of the mouse retina.iScience · 2024Article
- VDAC in Retinal Health and Disease.Biomolecules · 2024Review
- Review
- Comprehensive single-cell atlas of the mouse retina.bioRxiv : the preprint server for biology · 2024Article
- Cross-species single-cell landscapes identify the pathogenic gene characteristics of inherited retinal diseases.Frontiers in genetics · 2024Article
- Single-cell multiomics of the human retina reveals hierarchical transcription factor collaboration in mediating cell type-specific effects of genetic variants on gene regulation.Genome biology · 2023Article
- Article
- DeMixSC: a deconvolution framework that uses single-cell sequencing plus a small benchmark dataset for improved analysis of cell-type ratios in complex tissue samples.bioRxiv : the preprint server for biology · 2023Article
- Single-cell transcriptomics of the ocular anterior segment: a comprehensive review.Eye (London, England) · 2023Review
- Mitochondria and Endoplasmic Reticulum Stress in Retinal Organoids from Patients with Vision Loss.The American journal of pathology · 2023Article
18 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
Single-cell RNA-seq is a powerful tool in decoding the heterogeneity in complex tissues by generating transcriptomic profiles of the individual cell. Here, we report a single-nuclei RNA-seq (snRNA-seq) transcriptomic study on human retinal tissue, which is composed of multiple cell types with distinct functions. Six samples from three healthy donors are profiled and high-quality RNA-seq data is obtained for 5873 single nuclei. All major retinal cell types are observed and marker genes for each cell type are identified. The gene expression of the macular and peripheral retina is compared to each other at cell-type level. Furthermore, our dataset shows an improved power for prioritizing genes associated with human retinal diseases compared to both mouse single-cell RNA-seq and human bulk RNA-seq results. In conclusion, we demonstrate that obtaining single cell transcriptomes from human frozen tissues can provide insight missed by either human bulk RNA-seq or animal models.
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