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/.
Authors
- Meng Zhou (ORCID: https://orcid.org/0000-0001-9987-9024)
- Jie Sun (ORCID: https://orcid.org/0000-0002-0932-7195)
- Hongbo Zhang (ORCID: https://orcid.org/0000-0002-1071-4416)
- Jingzhe Huang (ORCID: https://orcid.org/0009-0005-1238-2565)
- Jiazhu Chen (ORCID: https://orcid.org/0009-0008-6861-6983)
- Ke Li (ORCID: https://orcid.org/0009-0003-1583-0613)
Institutions
- Wenzhou Medical University (CN)
- Affiliated Eye Hospital of Wenzhou Medical College (CN)
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
Funders
- National Natural Science Foundation of China