4.7 Article

Implication of specific retinal cell-type involvement and gene expression changes in AMD progression using integrative analysis of single-cell and bulk RNA-seq profiling

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SCIENTIFIC REPORTS
卷 11, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s41598-021-95122-3

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  1. Macula Vision Research Foundation [R01GM125301, R21EY031877, R01EY030192, R01EY031209, P30 EY003039]
  2. SupportSight Foundation (TSSF)
  3. Macula Vision Research Foundation
  4. Arnold and Mabel Beckman Initiative for Macular Research

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The study utilized single-cell RNA sequencing to analyze gene expression in retinal cells of AMD patients, revealing changes in cell types and gene expression in AMD eyes compared to normal eyes, particularly in certain specific cell types in the macula region. KEGG pathway analysis showed enrichment in pathways related to complement, coagulation, antigen presentation, and signaling in AMD eyes, highlighting part of the pathogenesis of AMD.
Y Age-related macular degeneration (AMD) is a blinding eye disease with no unifying theme for its etiology. We used single-cell RNA sequencing to analyze the transcriptomes of similar to 93,000 cells from the macula and peripheral retina from two adult human donors and bulk RNA sequencing from fifteen adult human donors with and without AMD. Analysis of our single-cell data identified 267 cell-type-specific genes. Comparison of macula and peripheral retinal regions found no cell-type differences but did identify 50 differentially expressed genes (DEGs) with about 1/3 expressed in cones. Integration of our single-cell data with bulk RNA sequencing data from normal and AMD donors showed compositional changes more pronounced in macula in rods, microglia, endothelium, Muller glia, and astrocytes in the transition from normal to advanced AMD. KEGG pathway analysis of our normal vs. advanced AMD eyes identified enrichment in complement and coagulation pathways, antigen presentation, tissue remodeling, and signaling pathways including PI3K-Akt, NOD-like, Toll-like, and Rap1. These results showcase the use of single-cell RNA sequencing to infer cell-type compositional and cell-type-specific gene expression changes in intact bulk tissue and provide a foundation for investigating molecular mechanisms of retinal disease that lead to new therapeutic targets.

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