Evidence map›Paper›PMID 35522714›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Single-cell-resolution map of human retinal pigment epithelium helps discover subpopulations with differential disease sensitivity.

Davide Ortolan, Ruchi Sharma, Andrei Volkov, Arvydas Maminishkis, Nathan A Hotaling, Laryssa A Huryn, Catherine Cukras, Stefano Di Marco, Silvia Bisti, Kapil Bharti

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed
7.3field-weighted citation impact, top 2% 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

67 citing papers in PubMed, 90 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Stress Inference in Retinal Pigment Epithelium in C57BL/6J Mouse.Investigative ophthalmology & visual science · 2026
    Article
  7. An Integrated Multi-omics Single Cell Atlas of the Human RPE and Choroid.bioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Complement C3 Activation in the Human Retinal Pigment Epithelium.Investigative ophthalmology & visual science · 2025
    Article
  19. Article
  20. Review

7 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

10 authors at 3 institutions in 2 countries.

Davide OrtolanOcular and Stem Cell Translational Research Section, National Eye Institute, NIH, Bethesda, MD 20892.ORCID 0000-0002-8236-9391
Ruchi SharmaOcular and Stem Cell Translational Research Section, National Eye Institute, NIH, Bethesda, MD 20892.
Andrei VolkovOcular and Stem Cell Translational Research Section, National Eye Institute, NIH, Bethesda, MD 20892.
Arvydas MaminishkisOcular and Stem Cell Translational Research Section, National Eye Institute, NIH, Bethesda, MD 20892.
Nathan A HotalingInformation Resources Technology Branch, National Center for Advancing Translational Sciences, NIH, Bethesda, MD 20892.
Laryssa A HurynOphthalmic Clinical Genetics Section, National Eye Institute, NIH, Bethesda, MD 20892.
Catherine CukrasUnit on Clinical Investigation of Retinal Disease, National Eye Institute, NIH, Bethesda, MD 20892.
Stefano Di MarcoCenter for Synaptic Neuroscience and Technology, Istituto Italiano di Tecnologia, 16132 Genova, Italy.
Silvia BistiCenter for Synaptic Neuroscience and Technology, Istituto Italiano di Tecnologia, 16132 Genova, Italy.ORCID 0000-0003-4157-111X
Kapil BhartiOcular and Stem Cell Translational Research Section, National Eye Institute, NIH, Bethesda, MD 20892.
National Eye Institute · USItalian Institute of Technology · ITNational Center for Advancing Translational Sciences · US

Funding

Developing autologous iPSC-RPE based IND for AMD patientsZIAEY000542 · NEI · NATIONAL EYE INSTITUTE · PI BHARTI, KAPIL · 2014 to 2025
$24.2M
Developing patient-specific iPS cell derived RPE disease modelsZIAEY000532 · NEI · NATIONAL EYE INSTITUTE · PI BHARTI, KAPIL · 2013 to 2025
$22.0M
Developing functional and authenticated RPE tissue from iPS cellsZIAEY000533 · NEI · NATIONAL EYE INSTITUTE · PI BHARTI, KAPIL · 2013 to 2025
$14.4M
Developing 3D patient-specific iPS cell derived RPE/choroid modelsZIAEY000559 · NEI · NATIONAL EYE INSTITUTE · PI BHARTI, KAPIL · 2017 to 2025
$13.7M
Translational Research CoreZICEY000573 · NEI · NATIONAL EYE INSTITUTE · PI MAMINISHKIS, ARVYDAS · 2021 to 2025
$7.5M
Intramural NIH HHS ZIA EY000533
6 · The paper itself

Abstract

Regional phenotypic and functional differences in the retinal pigment epithelium (RPE) monolayer have been suggested to account for regional susceptibility in ocular diseases such as age-related macular degeneration (AMD), late-onset retinal degeneration (L-ORD), and choroideremia (CHM). However, a comprehensive description of human topographical RPE diversity is not yet available, thus limiting the understanding of regional RPE diversity and degenerative disease sensitivity in the eye. To develop a complete morphometric RPE map of the human eye, artificial intelligence–based software was trained to recognize, segment, and analyze RPE borders. Five statistically different, concentric RPE subpopulations (P1 to P5) were identified using cell area as a parameter, including a subpopulation (P4) with cell area comparable to that of macular cells in the far periphery of the eye. This work provides a complete reference map of human RPE subpopulations and their location in the eye. In addition, the analysis of cadaver non-AMD and AMD eyes and ultra-widefield fundus images of patients revealed differential vulnerability of the five RPE subpopulations to different retinal diseases.

Indexed as

Macula LuteaRetinal DiseasesArtificial IntelligenceHumansRetinal Pigment EpitheliumAMDartificial intelligencecell morphometrydata scienceretinal degeneration

Identifiers

PMID35522714
PMCPMC9171647
OpenAlexW4229011566

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.