Generating and Using Transcriptomically Based Retinal Cell Atlases
- 15 September 2021
- journal article
- review article
- Published by Annual Reviews in Annual Review of Vision Science
- Vol. 7 (1), 43-72
- https://doi.org/10.1146/annurev-vision-032621-075200
Abstract
It has been known for over a century that the basic organization of the retina is conserved across vertebrates. It has been equally clear that retinal cells can be classified into numerous types, but only recently have methods been devised to explore this diversity in unbiased, scalable, and comprehensive ways. Advances in high-throughput single-cell RNA-sequencing (scRNA-seq) have played a pivotal role in this effort. In this article, we outline the experimental and computational components of scRNA-seq and review studies that have used them to generate retinal atlases of cell types in several vertebrate species. These atlases have enabled studies of retinal development, responses of retinal cells to injury, expression patterns of genes implicated in retinal disease, and the evolution of cell types. Recently, the inquiry has expanded to include the entire eye and visual centers in the brain. These studies have enhanced our understanding of retinal function and dysfunction and provided tools and insights for exploring neural diversity throughout the brain. Expected final online publication date for the Annual Review of Vision Science, Volume 7 is September 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.Keywords
This publication has 150 references indexed in Scilit:
- How Variable Clones Build an Invariant RetinaNeuron, 2012
- RNA-SeQC: RNA-seq metrics for quality control and process optimizationBioinformatics, 2012
- MEGF10 and MEGF11 mediate homotypic interactions required for mosaic spacing of retinal neuronsNature, 2012
- Neurod6 expression defines new retinal amacrine cell subtypes and regulates their fateNature Neuroscience, 2011
- Self-organizing optic-cup morphogenesis in three-dimensional cultureNature, 2011
- Design Principles of Insect and Vertebrate Visual SystemsNeuron, 2010
- Development and diversification of retinal amacrine interneurons at single cell resolutionProceedings of the National Academy of Sciences of the United States of America, 2009
- RNA-Seq: a revolutionary tool for transcriptomicsNature Reviews Genetics, 2009
- The transcriptome of retinal Müller glial cellsJournal of Comparative Neurology, 2008
- Evolution of the vertebrate eye: opsins, photoreceptors, retina and eye cupNature Reviews Neuroscience, 2007