HOSCA: Human Ocular Single-Cell Atlas for Decoding Ocular Biology and Disease Complexity

The human eye is a highly specialized organ composed of different tissue types, each with a unique cellular microenvironment critical to visual function. Recent advances in single-cell RNA sequencing (scRNA-seq) have provided unprecedented opportunities to explore the cellular heterogeneity of ocular tissues and diseases. However, the rapid accumulation of scRNA-seq data in ophthalmology poses challenges in integrating, aligning, and effectively reusing different datasets. Here, we present the Human Ocular Single-Cell Atlas (HOSCA), an atlas-scale curated database and analysis platform that integrates and harmonizes more than 3.88 million single-cell transcriptomic profiles from 704 human samples and 60 high-quality scRNA-seq datasets, covering 16 anatomical regions of the eye and 15 associated diseases. HOSCA provides user-friendly, interactive tools for conducting cross-tissue, cross-disease, and demographic comparative analyses using a unified bioinformatics pipeline for data standardization, cross-platform batch correction, and accurate cell type annotation. As the largest ocular single-cell resource to date, HOSCA bridges the gap between atlas-scale data and precision ophthalmology, providing a powerful platform for advancing our understanding of ocular biology and disease. HOSCA is publicly available at http://www.bio-data.cn/HOSCA/.

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Publication Details

Journal
Genomics Proteomics & Bioinformatics
Published
2026-08-25
DOI
https://doi.org/10.1093/gpbjnl/qzag090
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

HOSCA: Human Ocular Single-Cell Atlas for Decoding Ocular Biology and Disease Complexity

Meng Zhou, Jie Sun, Hongbo Zhang, Jingzhe Huang et al.
Genomics Proteomics & Bioinformatics
Single-cell and spatial transcriptomics
article

HOSCA: Human Ocular Single-Cell Atlas for Decoding Ocular Biology and Disease Complexity

Meng Zhou, Jie Sun, Hongbo Zhang, Jingzhe Huang, Jiazhu Chen, Ke Li
article en

Abstract

The human eye is a highly specialized organ composed of different tissue types, each with a unique cellular microenvironment critical to visual function. Recent advances in single-cell RNA sequencing (scRNA-seq) have provided unprecedented opportunities to explore the cellular heterogeneity of ocular tissues and diseases. However, the rapid accumulation of scRNA-seq data in ophthalmology poses challenges in integrating, aligning, and effectively reusing different datasets. Here, we present the Human Ocular Single-Cell Atlas (HOSCA), an atlas-scale curated database and analysis platform that integrates and harmonizes more than 3.88 million single-cell transcriptomic profiles from 704 human samples and 60 high-quality scRNA-seq datasets, covering 16 anatomical regions of the eye and 15 associated diseases. HOSCA provides user-friendly, interactive tools for conducting cross-tissue, cross-disease, and demographic comparative analyses using a unified bioinformatics pipeline for data standardization, cross-platform batch correction, and accurate cell type annotation. As the largest ocular single-cell resource to date, HOSCA bridges the gap between atlas-scale data and precision ophthalmology, providing a powerful platform for advancing our understanding of ocular biology and disease. HOSCA is publicly available at http://www.bio-data.cn/HOSCA/.

Genomics Proteomics & Bioinformatics
Wenzhou Medical University (CN), Affiliated Eye Hospital of Wenzhou Medical College (CN)
National Natural Science Foundation of China
Partnerships for the goals
Openalex Percentile: Top 17%
Single-cell and spatial transcriptomics
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HOSCA: Human Ocular Single-Cell Atlas for Decoding Ocular Biology and Disease Complexity — Meng Zhou, Jie Sun, et al. · Genomics Proteomics & Bioinformatics (2026) | TGRS Research Map | TGRS