Evidence map›Paper›PMID 34341398›Full record

ArticleScientific reports2021

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.

Yafei Lyu, Randy Zauhar, Nicholas Dana, Christianne E Strang, Jian Hu, Kui Wang, Shanrun Liu, Naifei Pan, Paul Gamlin, James A Kimble and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
6.2field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 45 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 2 countries.

Yafei Lyu *Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA.
Randy Zauhar *Department of Chemistry and Biochemistry, The University of the Sciences in Philadelphia, Philadelphia, PA, 19104, USA.
Nicholas DanaDepartments of Ophthalmology and Human Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA.
Christianne E StrangDepartment of Psychology, University of Alabama At Birmingham, Birmingham, AL, 35294, USA.
Jian HuDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA.
Kui WangDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA.
Shanrun LiuDepartment of Biochemistry and Molecular Genetics, University of Alabama At Birmingham, Birmingham, AL, 35294, USA.
Naifei PanDepartment of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Paul GamlinDepartment of Ophthalmology and Visual Sciences, University of Alabama At Birmingham, Birmingham, AL, 35294, USA.
James A KimbleDepartment of Ophthalmology and Visual Sciences, University of Alabama At Birmingham, Birmingham, AL, 35294, USA.
Jeffrey D MessingerDepartment of Ophthalmology and Visual Sciences, University of Alabama At Birmingham, Birmingham, AL, 35294, USA.
Christine A CurcioDepartment of Ophthalmology and Visual Sciences, University of Alabama At Birmingham, Birmingham, AL, 35294, USA.
Dwight StambolianDepartments of Ophthalmology and Human Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA. stamboli@pennmedicine.upenn.edu.
Mingyao LiDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA. mingyao@pennmedicine.upenn.edu.
University of Pennsylvania · USUniversity of Alabama at Birmingham · USUniversity of the Sciences · US

Funding

Visual Phenotyping CoreP30EY003039 · NEI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Paul Douglas Gamlin · 1985 to 2026
$16.9M
Pilot CoreP30AG022838 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BALL, KARLENE K · 2003 to 2020
$5.7M
Deconstructing and Modeling the Single Cell Architecture of the Age-Related Macular Degeneration Retina and RPE/ChoroidR01EY031209 · NEI · UNIVERSITY OF PENNSYLVANIA · PI DEANGELIS, MARGARET M, LI, MINGYAO · 2020 to 2024
$2.7M
Single-Cell Transcriptomic Analysis of Human RetinaR01EY030192 · NEI · UNIVERSITY OF PENNSYLVANIA · PI LI, MINGYAO · 2019 to 2022
$2.6M
Statistical Methods for Single-Cell TranscriptomicsR01GM125301 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI LI, MINGYAO, ZHANG, NANCY R · 2017 to 2020
$1.5M
Integrative analysis of bulk and single-cell RNA-seq data from human retina for age-related macular degenerationR21EY031877 · NEI · UNIVERSITY OF PENNSYLVANIA · PI LI, MINGYAO, XIAO, RUI · 2020 to 2021
$461k
NEI NIH HHS P30 EY003039NEI NIH HHS R01 EY030192NEI NIH HHS R01 EY031209NEI NIH HHS R21 EY031877NIA NIH HHS P30 AG022838NIGMS NIH HHS R01 GM125301
6 · The paper itself

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.

Indexed as

Macular DegenerationRetinaRNA-SeqSingle-Cell AnalysisAgedAged, 80 and overDisease ProgressionFemaleGene Expression ProfilingGene Expression RegulationHumansMaleMiddle AgedTranscriptome

Identifiers

PMID34341398
PMCPMC8329233
OpenAlexW3189208547

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.