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

Abstract 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...

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Autores principales: Yafei Lyu, Randy Zauhar, Nicholas Dana, Christianne E. Strang, Jian Hu, Kui Wang, Shanrun Liu, Naifei Pan, Paul Gamlin, James A. Kimble, Jeffrey D. Messinger, Christine A. Curcio, Dwight Stambolian, Mingyao Li
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Publicado: Nature Portfolio 2021
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spelling oai:doaj.org-article:1fb14e76067840689b61cd1fd4222f8f2021-12-02T14:53:42ZImplication of specific retinal cell-type involvement and gene expression changes in AMD progression using integrative analysis of single-cell and bulk RNA-seq profiling10.1038/s41598-021-95122-32045-2322https://doaj.org/article/1fb14e76067840689b61cd1fd4222f8f2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-95122-3https://doaj.org/toc/2045-2322Abstract 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.Yafei LyuRandy ZauharNicholas DanaChristianne E. StrangJian HuKui WangShanrun LiuNaifei PanPaul GamlinJames A. KimbleJeffrey D. MessingerChristine A. CurcioDwight StambolianMingyao LiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Yafei Lyu
Randy Zauhar
Nicholas Dana
Christianne E. Strang
Jian Hu
Kui Wang
Shanrun Liu
Naifei Pan
Paul Gamlin
James A. Kimble
Jeffrey D. Messinger
Christine A. Curcio
Dwight Stambolian
Mingyao Li
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
description Abstract 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.
format article
author Yafei Lyu
Randy Zauhar
Nicholas Dana
Christianne E. Strang
Jian Hu
Kui Wang
Shanrun Liu
Naifei Pan
Paul Gamlin
James A. Kimble
Jeffrey D. Messinger
Christine A. Curcio
Dwight Stambolian
Mingyao Li
author_facet Yafei Lyu
Randy Zauhar
Nicholas Dana
Christianne E. Strang
Jian Hu
Kui Wang
Shanrun Liu
Naifei Pan
Paul Gamlin
James A. Kimble
Jeffrey D. Messinger
Christine A. Curcio
Dwight Stambolian
Mingyao Li
author_sort Yafei Lyu
title 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
title_short 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_sort 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
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/1fb14e76067840689b61cd1fd4222f8f
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