Plate IV.51 · Publications
Single-cell atlas of the transcriptome and chromatin accessibility in the human retina
Article in Nature Genetics, 23 January 2026.
Abstract
Single-cell sequencing has revolutionized the scale and resolution of molecular profiling of tissues and organs. Here we present an integrated dual-modal reference atlas of the most accessible portion of the mammalian central nervous system, the retina. We compiled around 3.9 million cells from 125 donors of diverse ancestral backgrounds, including 8 published studies and 2.7 million unpublished data points, to create a comprehensive human retina cell atlas (HRCA) with more than 130 cell types identified. We annotated each cluster, identified marker genes and characterized cis-regulatory elements and gene regulatory networks. Our analysis uncovered differences in transcriptome, chromatin and gene regulatory networks across cell types. We modeled changes in gene expression and chromatin accessibility across age, ancestry and tissue region. This integrated atlas enhanced the fine-mapping of genome-wide association study and expression quantitative trait loci variants. Accessible through interactive browsers, this multimodal multidonor and multilab HRCA can facilitate a better understanding of retinal function and pathology.
Versions4
- CorrectionNature Genetics10.1038/s41588-026-02545-7
- PublishedNature Genetics10.1038/s41588-025-02454-1
- PreprintResearch Square10.21203/rs.3.rs-3471275/v1
- PreprintbioRxiv10.1101/2023.11.07.566105
Cite
@article{li2026single,
title = {{Single-cell atlas of the transcriptome and chromatin accessibility in the human retina}},
author = {Li, Jin and Wang, Jun and Ibarra, Ignacio L. and Cheng, Xuesen and Luecken, Malte D. and Lu, Jiaxiong and Monavarfeshani, Aboozar and Yan, Wenjun and Zheng, Yiqiao and Zuo, Zhen and Colborn, Samantha Lynn Zayas and Cortez, Berenice Sarahi and Owen, Leah A. and Wick, Brittney and Bao, Xuan and Choi, Jongsu and Haeussler, Maximilian and Tran, Nicholas M. and Shekhar, Karthik and Sanes, Joshua R. and Stout, J. Timothy and Chen, Shiming and Li, Yumei and DeAngelis, Margaret M. and Theis, Fabian J. and Chen, Rui},
journal = {Nature Genetics},
publisher = {Springer Science and Business Media LLC},
year = {2026},
month = jan,
doi = {10.1038/s41588-025-02454-1},
url = {https://doi.org/10.1038/s41588-025-02454-1},
pmid = {41578023},
pmcid = {PMC13050529}
}