A single-cell transcriptome atlas of the aging human and macaque retina

Wenyang Yi(University of Science and Technology of China), Yufeng Lu(Center for Excellence in Brain Science and Intelligence Technology), Suijuan Zhong(Beijing Normal University), Mei Zhang(University of Science and Technology of China), Le Sun(Center for Excellence in Brain Science and Intelligence Technology), Hao Dong(Center for Excellence in Brain Science and Intelligence Technology), Mengdi Wang(Center for Excellence in Brain Science and Intelligence Technology), Min Wei(University of Science and Technology of China), Haohuan Xie(University of Science and Technology of China), Hongqiang Qu(Peking University), Rongmei Peng(Peking University), Jing Hong(Peking University), Ziqin Yao(University of Science and Technology of China), Yunyun Tong(University of Science and Technology of China), Wei Wang(Center for Excellence in Brain Science and Intelligence Technology), Qiang Ma(Center for Excellence in Brain Science and Intelligence Technology), Zeyuan Liu(Center for Excellence in Brain Science and Intelligence Technology), Yuqian Ma(University of Science and Technology of China), Shouzhen Li(University of Science and Technology of China), Chonghai Yin(Center for Excellence in Brain Science and Intelligence Technology), Jianwei Liu(Center for Excellence in Brain Science and Intelligence Technology), Chao Ma(Chinese Academy of Medical Sciences & Peking Union Medical College), Xiaoqun Wang(Capital Medical University), Qian Wu(Beijing Normal University), Tian Xue(University of Science and Technology of China)
National Science Review
August 8, 2020
10.1093/nsr/nwaa179
Cited by 52Open Access
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Abstract

Abstract The human retina is a complex neural tissue that detects light and sends visual information to the brain. However, the molecular and cellular processes that underlie aging primate retina remain unclear. Here, we provide a comprehensive transcriptomic atlas based on 119,520 single cells of the foveal and peripheral retina of humans and macaques covering different ages. The molecular features of retinal cells differed between the two species, suggesting the distinct regional and species specializations of the human and macaque retinae. In addition, human retinal aging occurred in a region- and cell-type- specific manner. Aging of human retina exhibited a foveal to peripheral gradient. MYO9A− rods and a horizontal cell subtype were greatly reduced in aging retina, indicating their vulnerability to aging. Moreover, we generated a dataset showing the cell-type- and region- specific gene expression associated with 55 types of human retinal disease, which provides a foundation to understand the molecular and cellular mechanisms underlying human retinal diseases. Together, these datasets are valuable for understanding the molecular characteristics of primate retina, as well as the molecular regulation of aging progression and related diseases.

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