[HTML][HTML] Cell atlas of the human fovea and peripheral retina

W Yan, YR Peng, T van Zyl, A Regev, K Shekhar… - Scientific reports, 2020 - nature.com
Scientific reports, 2020nature.com
Most irreversible blindness results from retinal disease. To advance our understanding of
the etiology of blinding diseases, we used single-cell RNA-sequencing (scRNA-seq) to
analyze the transcriptomes of~ 85,000 cells from the fovea and peripheral retina of seven
adult human donors. Utilizing computational methods, we identified 58 cell types within 6
classes: photoreceptor, horizontal, bipolar, amacrine, retinal ganglion and non-neuronal
cells. Nearly all types are shared between the two retinal regions, but there are notable …
Abstract
Most irreversible blindness results from retinal disease. To advance our understanding of the etiology of blinding diseases, we used single-cell RNA-sequencing (scRNA-seq) to analyze the transcriptomes of ~85,000 cells from the fovea and peripheral retina of seven adult human donors. Utilizing computational methods, we identified 58 cell types within 6 classes: photoreceptor, horizontal, bipolar, amacrine, retinal ganglion and non-neuronal cells. Nearly all types are shared between the two retinal regions, but there are notable differences in gene expression and proportions between foveal and peripheral cohorts of shared types. We then used the human retinal atlas to map expression of 636 genes implicated as causes of or risk factors for blinding diseases. Many are expressed in striking cell class-, type-, or region-specific patterns. Finally, we compared gene expression signatures of cell types between human and the cynomolgus macaque monkey, Macaca fascicularis. We show that over 90% of human types correspond transcriptomically to those previously identified in macaque, and that expression of disease-related genes is largely conserved between the two species. These results validate the use of the macaque for modeling blinding disease, and provide a foundation for investigating molecular mechanisms underlying visual processing.
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