Evidence map›Paper›PMID 31037833›Full record

ArticleStem cells translational medicine2019

Phenotypic and Functional Characterization of Müller Glia Isolated from Induced Pluripotent Stem Cell-Derived Retinal Organoids: Improvement of Retinal Ganglion Cell Function upon Transplantation.

Karen Eastlake, Weixin Wang, Hari Jayaram, Celia Murray-Dunning, Amanda J F Carr, Conor M Ramsden, Anthony Vugler, Katrina Gore, Nadine Clemo, Mark Stewart and 3 more

Open access · goldAbstract read
In one paragraph

Article in Stem cells translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Galectin-3 Mediates TGF-β-Controlled Migration in Müller Glial Cells.International journal of molecular sciences · 2026
    Article
  3. Article
  4. Article
  5. Animal models for the evaluation of retinal stem cell therapies.Progress in retinal and eye research · 2025
    Review
  6. Retinal Organoids: Innovative Tools for Understanding Retinal Degeneration.International journal of molecular sciences · 2025
    Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Cell-Based Therapies for Glaucoma.Translational vision science & technology · 2023
    Article
  15. Transcriptomics of CD29Scientific reports · 2023
    Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. Review
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

13 authors at 4 institutions in 1 country.

Karen EastlakeNIHR Biomedical Research Centre, UCL Institute of Ophthalmology and Moorfields Eye Hospital, London, United Kingdom.
Weixin WangNIHR Biomedical Research Centre, UCL Institute of Ophthalmology and Moorfields Eye Hospital, London, United Kingdom.
Hari JayaramNIHR Biomedical Research Centre, UCL Institute of Ophthalmology and Moorfields Eye Hospital, London, United Kingdom.
Celia Murray-DunningNIHR Biomedical Research Centre, UCL Institute of Ophthalmology and Moorfields Eye Hospital, London, United Kingdom.
Amanda J F CarrNIHR Biomedical Research Centre, UCL Institute of Ophthalmology and Moorfields Eye Hospital, London, United Kingdom.
Conor M RamsdenNIHR Biomedical Research Centre, UCL Institute of Ophthalmology and Moorfields Eye Hospital, London, United Kingdom.
Anthony VuglerNIHR Biomedical Research Centre, UCL Institute of Ophthalmology and Moorfields Eye Hospital, London, United Kingdom.
Katrina GoreApollo Therapeutics, Stevenage, United Kingdom.
Nadine ClemoApollo Therapeutics, Stevenage, United Kingdom.
Mark StewartNIHR Biomedical Research Centre, UCL Institute of Ophthalmology and Moorfields Eye Hospital, London, United Kingdom.
Pete CoffeyNIHR Biomedical Research Centre, UCL Institute of Ophthalmology and Moorfields Eye Hospital, London, United Kingdom.
Peng T KhawNIHR Biomedical Research Centre, UCL Institute of Ophthalmology and Moorfields Eye Hospital, London, United Kingdom.
G Astrid LimbNIHR Biomedical Research Centre, UCL Institute of Ophthalmology and Moorfields Eye Hospital, London, United Kingdom.ORCID 0000-0001-7014-8922
University College London · GBMoorfields Eye Hospital · GBNeRRe Therapeutics (United Kingdom) · GBMoorfields Eye Hospital NHS Foundation Trust · GB

Funding

Medical Research Council G0900002Medical Research Council MR/P01660X/1
6 · The paper itself

Abstract

Glaucoma is one of the leading causes of blindness, and there is an ongoing need for new therapies. Recent studies indicate that cell transplantation using Müller glia may be beneficial, but there is a need for novel sources of cells to provide therapeutic benefit. In this study, we have isolated Müller glia from retinal organoids formed by human induced pluripotent stem cells (hiPSCs) in vitro and have shown their ability to partially restore visual function in rats depleted of retinal ganglion cells by NMDA. Based on the present results, we suggest that Müller glia derived from retinal organoids formed by hiPSC may provide an attractive source of cells for human retinal therapies, to prevent and treat vision loss caused by retinal degenerative conditions. Stem Cells Translational Medicine 2019;8:775&784.

Indexed as

AnimalsCell DifferentiationCell LineCells, CulturedCell TransplantationEpendymoglial CellsHumansInduced Pluripotent Stem CellsOrganoidsPhenotypeRatsRegenerationRetinal DegenerationRetinal Ganglion CellsGlaucomaInduced pluripotent stem cellMüller gliaRegenerationStem cells

Identifiers

PMID31037833
PMCPMC6646702
OpenAlexW2943675120

What OpenQuestion holds

Textmetadata
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.