Evidence map›Paper›PMID 35739648›Full record

ReviewClinical & experimental ophthalmology2022

Human pluripotent stem cells for the modelling of retinal pigment epithelium homeostasis and disease: A review.

Jenna C Hall, Daniel Paull, Alice Pébay, Grace E Lidgerwood

Open access · hybridAbstract readReview
In one paragraph

Review in Clinical & experimental ophthalmology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

6 citing papers in PubMed, 6 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

4 authors at 3 institutions in 2 countries.

Jenna C HallDepartment of Anatomy and Physiology, The University of Melbourne, Parkville, Victoria, Australia.ORCID 0000-0003-4540-7798
Daniel PaullThe New York Stem Cell Foundation Research Institute, New York, New York, USA.ORCID 0000-0002-9004-794X
Alice PébayDepartment of Anatomy and Physiology, The University of Melbourne, Parkville, Victoria, Australia.ORCID 0000-0002-7408-9453
Grace E LidgerwoodDepartment of Anatomy and Physiology, The University of Melbourne, Parkville, Victoria, Australia.ORCID 0000-0002-1774-5944
The University of Melbourne · AUNew York Stem Cell Foundation · USThe Royal Melbourne Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human pluripotent stem cells (hPSCs), which include induced pluripotent stem cells and embryonic stem cells, are powerful tools for studying human development, physiology and disease, including those affecting the retina. Cells from selected individuals, or specific genetic backgrounds, can be differentiated into distinct cell types allowing the modelling of diseases in a dish for therapeutic development. hPSC-derived retinal cultures have already been used to successfully model retinal pigment epithelium (RPE) degeneration for various retinal diseases including monogenic conditions and complex disease such as age-related macular degeneration. Here, we will review the current knowledge gained in understanding the molecular events involved in retinal disease using hPSC-derived retinal models, in particular RPE models. We will provide examples of various conditions to illustrate the scope of applications associated with the use of hPSC-derived RPE models.

Indexed as

Induced Pluripotent Stem CellsMacular DegenerationPluripotent Stem CellsHomeostasisHumansRetinal Pigment Epitheliumdisease modellinghuman pluripotent stem cellsretinal diseaseretinal pigment epithelium

Identifiers

PMID35739648
PMCPMC9546239
OpenAlexW4283385497

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.