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

• Published in: Scientific reports Vol. 11; no. 1; pp. 15612 - 15
• Main Authors: Lyu, Yafei, Zauhar, Randy, Dana, Nicholas, Strang, Christianne E., Hu, Jian, Wang, Kui, Liu, Shanrun, Pan, Naifei, Gamlin, Paul, Kimble, James A., Messinger, Jeffrey D., Curcio, Christine A., Stambolian, Dwight, Li, Mingyao
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 02.08.2021; Nature Publishing Group; Nature Portfolio
• Subjects: 1-Phosphatidylinositol 3-kinase; 631/114/2401; 631/114/2785; 631/378/2613/1786; AKT protein; Antigen presentation; Astrocytes; Endothelium; Etiology; Eye diseases; Gene expression; Humanities and Social Sciences; Macular degeneration; Microglia; Molecular modelling; Mueller cells; multidisciplinary; Rap1 protein; Retina; Ribonucleic acid; RNA; Science; Science (multidisciplinary); Transcriptomes
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-021-95122-3

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 ~ 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, Müller 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.