Faculty, Staff and Student Publications
Publication Date
11-18-2023
Journal
Cellular and Molecular Life Sciences
Abstract
A hallmark of inherited retinal degenerative diseases such as retinitis pigmentosa (RP) is progressive structural and functional remodeling of the remaining retinal cells as photoreceptors degenerate. Extensive remodeling of the retina stands as a barrier for the successful implementation of strategies to restore vision. To understand the molecular basis of remodeling, we performed analyses of single-cell transcriptome data from adult zebrafish retina of wild type AB strain (WT) and a P23H mutant rhodopsin transgenic model of RP with continuous degeneration and regeneration. Retinas from both female and male fish were pooled to generate each library, combining data from both sexes. We provide a benchmark atlas of retinal cell type transcriptomes in zebrafish and insight into how each retinal cell type is affected in the P23H model. Oxidative stress is found throughout the retina, with increases in reliance on oxidative metabolism and glycolysis in the affected rods as well as cones, bipolar cells, and retinal ganglion cells. There is also transcriptional evidence for widespread synaptic remodeling and enhancement of glutamatergic transmission in the inner retina. Notably, changes in circadian rhythm regulation are detected in cones, bipolar cells, and retinal pigmented epithelium. We also identify the transcriptomic signatures of retinal progenitor cells and newly formed rods essential for the regenerative process. This comprehensive transcriptomic analysis provides a molecular road map to understand how the retina remodels in the context of chronic retinal degeneration with ongoing regeneration.
Keywords
Animals, Male, Female, Zebrafish, Retina, Retinitis Pigmentosa, Retinal Rod Photoreceptor Cells, Retinal Degeneration, Disease Models, Animal, Retinitis pigmentosa, Retinal degeneration, Regeneration, Photoreceptor, Pigmented epithelium, Synapse remodeling, Oxidative metabolism
Included in
Bioinformatics Commons, Biological Phenomena, Cell Phenomena, and Immunity Commons, Biomedical Informatics Commons, Medical Cell Biology Commons, Oncology Commons
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Associated Data
PMID: 37979052