4.8 Article

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

期刊

NATIONAL SCIENCE REVIEW
卷 8, 期 4, 页码 -

出版社

OXFORD UNIV PRESS
DOI: 10.1093/nsr/nwaa179

关键词

single-cell RNA sequencing; primate retina; aging; cell heterogeneity; age-related disease; cell-cell communication

资金

  1. National Key Research and Development Program of China [2020YFA0112200, 2019YFA0110100, 2017YFA0103303, 2017YFA0102601]
  2. Strategic Priority Research Program of the Chinese Academy of Sciences [XDA16020601/03, XDB39000000]
  3. National Natural Science Foundation of China [81925009, 81790644, 31671072, 81891001, 81900855, 31771140, 31900712]
  4. Fundamental Research Funds for the Central Universities [WK2070000174, WK2090050048]
  5. Beijing Brain Initiative of Beijing Municipal Science & Technology Commission [Z181100001518004]
  6. National Resource Center for Non-Human Primates

向作者/读者索取更多资源

The study provides a comprehensive transcriptomic atlas based on human and macaque retinal cells and reveals the characteristics of human retinal aging, as well as the differences at the molecular and cellular levels.
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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