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

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...

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Autores principales: Yi, Wenyang, Lu, Yufeng, Zhong, Suijuan, Zhang, Mei, Sun, Le, Dong, Hao, Wang, Mengdi, Wei, Min, Xie, Haohuan, Qu, Hongqiang, Peng, Rongmei, Hong, Jing, Yao, Ziqin, Tong, Yunyun, Wang, Wei, Ma, Qiang, Liu, Zeyuan, Ma, Yuqian, Li, Shouzhen, Yin, Chonghai, Liu, Jianwei, Ma, Chao, Wang, Xiaoqun, Wu, Qian, Xue, Tian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288367/
https://www.ncbi.nlm.nih.gov/pubmed/34691611
http://dx.doi.org/10.1093/nsr/nwaa179
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author Yi, Wenyang
Lu, Yufeng
Zhong, Suijuan
Zhang, Mei
Sun, Le
Dong, Hao
Wang, Mengdi
Wei, Min
Xie, Haohuan
Qu, Hongqiang
Peng, Rongmei
Hong, Jing
Yao, Ziqin
Tong, Yunyun
Wang, Wei
Ma, Qiang
Liu, Zeyuan
Ma, Yuqian
Li, Shouzhen
Yin, Chonghai
Liu, Jianwei
Ma, Chao
Wang, Xiaoqun
Wu, Qian
Xue, Tian
author_facet Yi, Wenyang
Lu, Yufeng
Zhong, Suijuan
Zhang, Mei
Sun, Le
Dong, Hao
Wang, Mengdi
Wei, Min
Xie, Haohuan
Qu, Hongqiang
Peng, Rongmei
Hong, Jing
Yao, Ziqin
Tong, Yunyun
Wang, Wei
Ma, Qiang
Liu, Zeyuan
Ma, Yuqian
Li, Shouzhen
Yin, Chonghai
Liu, Jianwei
Ma, Chao
Wang, Xiaoqun
Wu, Qian
Xue, Tian
author_sort Yi, Wenyang
collection PubMed
description 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 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 understanding of the molecular and cellular mechanisms underlying human retinal diseases. Such datasets are valuable to understanding of the molecular characteristics of primate retina, as well as molecular regulation of aging progression and related diseases.
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spelling pubmed-82883672021-10-21 A single-cell transcriptome atlas of the aging human and macaque retina Yi, Wenyang Lu, Yufeng Zhong, Suijuan Zhang, Mei Sun, Le Dong, Hao Wang, Mengdi Wei, Min Xie, Haohuan Qu, Hongqiang Peng, Rongmei Hong, Jing Yao, Ziqin Tong, Yunyun Wang, Wei Ma, Qiang Liu, Zeyuan Ma, Yuqian Li, Shouzhen Yin, Chonghai Liu, Jianwei Ma, Chao Wang, Xiaoqun Wu, Qian Xue, Tian Natl Sci Rev Molecular Biology & Genetics 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 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 understanding of the molecular and cellular mechanisms underlying human retinal diseases. Such datasets are valuable to understanding of the molecular characteristics of primate retina, as well as molecular regulation of aging progression and related diseases. Oxford University Press 2020-08-25 /pmc/articles/PMC8288367/ /pubmed/34691611 http://dx.doi.org/10.1093/nsr/nwaa179 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Molecular Biology & Genetics
Yi, Wenyang
Lu, Yufeng
Zhong, Suijuan
Zhang, Mei
Sun, Le
Dong, Hao
Wang, Mengdi
Wei, Min
Xie, Haohuan
Qu, Hongqiang
Peng, Rongmei
Hong, Jing
Yao, Ziqin
Tong, Yunyun
Wang, Wei
Ma, Qiang
Liu, Zeyuan
Ma, Yuqian
Li, Shouzhen
Yin, Chonghai
Liu, Jianwei
Ma, Chao
Wang, Xiaoqun
Wu, Qian
Xue, Tian
A single-cell transcriptome atlas of the aging human and macaque retina
title A single-cell transcriptome atlas of the aging human and macaque retina
title_full A single-cell transcriptome atlas of the aging human and macaque retina
title_fullStr A single-cell transcriptome atlas of the aging human and macaque retina
title_full_unstemmed A single-cell transcriptome atlas of the aging human and macaque retina
title_short A single-cell transcriptome atlas of the aging human and macaque retina
title_sort single-cell transcriptome atlas of the aging human and macaque retina
topic Molecular Biology & Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288367/
https://www.ncbi.nlm.nih.gov/pubmed/34691611
http://dx.doi.org/10.1093/nsr/nwaa179
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