Evidence map›Paper›PMID 31653841›Full record

ArticleNature communications2019

Single-cell transcriptomic atlas of the human retina identifies cell types associated with age-related macular degeneration.

Madhvi Menon, Shahin Mohammadi, Jose Davila-Velderrain, Brittany A Goods, Tanina D Cadwell, Yu Xing, Anat Stemmer-Rachamimov, Alex K Shalek, John Christopher Love, Manolis Kellis and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 229 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
229citing papers in PubMed, 2 pooled it
15.0field-weighted citation impact, top 1% 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

229 citing papers in PubMed, 2 syntheses or guidelines pooled it, 347 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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169 more citing papers are in PubMed but not listed here.

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

11 authors at 3 institutions in 1 country.

Madhvi MenonBroad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
Shahin MohammadiBroad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
Jose Davila-VelderrainBroad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
Brittany A GoodsBroad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
Tanina D CadwellEvergrande Center for Immunologic Diseases, Harvard Medical School, Boston, MA, 02115, USA.
Yu XingEvergrande Center for Immunologic Diseases, Harvard Medical School, Boston, MA, 02115, USA.
Anat Stemmer-RachamimovDepartment of Pathology, Massachusetts General Hospital, Boston, MA, 02114, USA.
Alex K ShalekBroad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
John Christopher LoveBroad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.ORCID http://orcid.org/0000-0003-0921-3144
Manolis KellisBroad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.ORCID http://orcid.org/0000-0001-7113-9630
Brian P HaflerBroad Institute of MIT and Harvard, Cambridge, MA, 02142, USA. brian.hafler@yale.edu.
Broad Institute · USHarvard University · USMassachusetts General Hospital · US

Funding

Elucidating the Molecular Mechanisms of Neuropsychiatric Symptoms in Alzheimer's DiseaseR01AG062335 · NIA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KELLIS, MANOLIS, TSAI, LI-HUEI · 2018 to 2022
$6.5M
Single-cell transcriptional and epigenomic dissection of Alzheimer's Disease and Related DementiasU01NS110453 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KELLIS, MANOLIS, TSAI, LI-HUEI · 2018 to 2020
$4.0M
Identification of the genetic pathways that give rise to the chicken rod-free zone and human fovea using epigenomic profilingK08EY026652 · NEI · YALE UNIVERSITY · PI HAFLER, BRIAN P · 2016 to 2020
$1.4M
Single Cell Transcriptional and Epigenomic Dissection of Schizophrenia and Bipoloar DiseaseU01MH119509 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KELLIS, MANOLIS · 2019 to 2019
$625k
Characterizing spatio-temporal changes in immune cell landscapes of multiple sclerosis patients in response to B cell depletion with OcrelizumabF32AI136459 · NIAID · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GOODS, BRITTANY ANNE · 2018 to 2020
$184k
NEI NIH HHS K08 EY026652NIAID NIH HHS F32 AI136459NIA NIH HHS R01 AG062335NIMH NIH HHS U01 MH119509NINDS NIH HHS U01 NS110453
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have identified genetic variants associated with age-related macular degeneration (AMD), one of the leading causes of blindness in the elderly. However, it has been challenging to identify the cell types associated with AMD given the genetic complexity of the disease. Here we perform massively parallel single-cell RNA sequencing (scRNA-seq) of human retinas using two independent platforms, and report the first single-cell transcriptomic atlas of the human retina. Using a multi-resolution network-based analysis, we identify all major retinal cell types, and their corresponding gene expression signatures. Heterogeneity is observed within macroglia, suggesting that human retinal glia are more diverse than previously thought. Finally, GWAS-based enrichment analysis identifies glia, vascular cells, and cone photoreceptors to be associated with the risk of AMD. These data provide a detailed analysis of the human retina, and show how scRNA-seq can provide insight into cell types involved in complex, inflammatory genetic diseases.

Indexed as

Gene ExpressionAmacrine CellsAstrocytesBlood VesselsEpendymoglial CellsGene Expression ProfilingGenetic Predisposition to DiseaseHigh-Throughput Nucleotide SequencingHumansMacular DegenerationMicrogliaNeurogliaRetinaRetinal Bipolar CellsRetinal Cone Photoreceptor CellsRetinal Ganglion Cells

Identifiers

PMID31653841
PMCPMC6814749
OpenAlexW2981346196

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.