What transcriptomics tells us about retinal development, disease and evolution
Schedule
Monday, November 22, 2021
14:00 UTC
Joshua Sanes
Prof
Harvard University
Host: Sussex Visions
Recording
Open recording
Event Information
Recording
Available
Host
Sussex Visions
Duration
70 minutes
Abstract
Classification of neurons, long viewed as a fairly boring enterprise, has emerged as a major bottleneck in analysis of neural circuits. High throughput single cell RNA-seq has provided a new way to improve the situation. We initially applied this method to mouse retina, showing that its five neuronal classes (photoreceptors, three groups of interneurons, and retinal ganglion cells) can be divided into 130 discrete types. We then applied the method to other species including human, macaque, zebrafish and chick. With the atlases in hand, we are now using them to address questions about how retinal cell types diversify, how they differ in their responses to injury and disease, and the extent to which cell classes and types are conserved among vertebrates.
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