Transcriptomic analysis of the ocular posterior segment completes a cell atlas of the human eye.
Aboozar MonavarfeshaniWenjun YanChristian PappasKenechukwu A OdenigboZhigang HeAyellet V SegrèTavé van ZylGregory S HagemanJoshua R SanesPublished in: Proceedings of the National Academy of Sciences of the United States of America (2023)
Although the visual system extends through the brain, most vision loss originates from defects in the eye. Its central element is the neural retina, which senses light, processes visual signals, and transmits them to the rest of the brain through the optic nerve (ON). Surrounding the retina are numerous other structures, conventionally divided into anterior and posterior segments. Here, we used high-throughput single-nucleus RNA sequencing (snRNA-seq) to classify and characterize cells in six extraretinal components of the posterior segment: ON, optic nerve head (ONH), peripheral sclera, peripapillary sclera (PPS), choroid, and retinal pigment epithelium (RPE). Defects in each of these tissues are associated with blinding diseases-for example, glaucoma (ONH and PPS), optic neuritis (ON), retinitis pigmentosa (RPE), and age-related macular degeneration (RPE and choroid). From ~151,000 single nuclei, we identified 37 transcriptomically distinct cell types, including multiple types of astrocytes, oligodendrocytes, fibroblasts, and vascular endothelial cells. Our analyses revealed a differential distribution of many cell types among distinct structures. Together with our previous analyses of the anterior segment and retina, the data presented here complete a "Version 1" cell atlas of the human eye. We used this atlas to map the expression of >180 genes associated with the risk of developing glaucoma, which is known to involve ocular tissues in both anterior and posterior segments as well as the neural retina. Similar methods can be used to investigate numerous additional ocular diseases, many of which are currently untreatable.
Keyphrases
- optic nerve
- single cell
- optical coherence tomography
- endothelial cells
- rna seq
- high throughput
- cell therapy
- gene expression
- age related macular degeneration
- poor prognosis
- high resolution
- stem cells
- machine learning
- induced pluripotent stem cells
- electronic health record
- cell death
- long non coding rna
- cell proliferation
- cell cycle arrest
- mass spectrometry
- blood brain barrier
- diabetic retinopathy
- subarachnoid hemorrhage
- deep learning
- bone marrow