Evidence map›Paper›PMID 35459774›Full record

ArticleScientific reports2022

Generation of 3D retinal tissue from human pluripotent stem cells using a directed small molecule-based serum-free microwell platform.

Hassan Rashidi, Yeh Chwan Leong, Kerrie Venner, Hema Pramod, Qi-Zhen Fei, Owen J R Jones, Dale Moulding, Jane C Sowden

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  8. Article
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  11. Toward Retinal Organoids in High-Throughput.Cold Spring Harbor perspectives in medicine · 2024
    Review
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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

8 authors at 3 institutions in 1 country.

Hassan RashidiStem Cells and Regenerative Medicine Section, Birth Defects Research Centre, UCL Great Ormond Street Institute of Child Health, University College London and NIHR Great Ormond Street Hospital Biomedical Research Centre, 30 Guilford Street, London, WC1N 1EH, UK.
Yeh Chwan LeongStem Cells and Regenerative Medicine Section, Birth Defects Research Centre, UCL Great Ormond Street Institute of Child Health, University College London and NIHR Great Ormond Street Hospital Biomedical Research Centre, 30 Guilford Street, London, WC1N 1EH, UK.
Kerrie VennerUCL Institute of Neurology, Queens Square, University College London, London, UK.
Hema PramodStem Cells and Regenerative Medicine Section, Birth Defects Research Centre, UCL Great Ormond Street Institute of Child Health, University College London and NIHR Great Ormond Street Hospital Biomedical Research Centre, 30 Guilford Street, London, WC1N 1EH, UK.
Qi-Zhen FeiStem Cells and Regenerative Medicine Section, Birth Defects Research Centre, UCL Great Ormond Street Institute of Child Health, University College London and NIHR Great Ormond Street Hospital Biomedical Research Centre, 30 Guilford Street, London, WC1N 1EH, UK.
Owen J R JonesStem Cells and Regenerative Medicine Section, Birth Defects Research Centre, UCL Great Ormond Street Institute of Child Health, University College London and NIHR Great Ormond Street Hospital Biomedical Research Centre, 30 Guilford Street, London, WC1N 1EH, UK.
Dale MouldingStem Cells and Regenerative Medicine Section, Birth Defects Research Centre, UCL Great Ormond Street Institute of Child Health, University College London and NIHR Great Ormond Street Hospital Biomedical Research Centre, 30 Guilford Street, London, WC1N 1EH, UK.
Jane C SowdenStem Cells and Regenerative Medicine Section, Birth Defects Research Centre, UCL Great Ormond Street Institute of Child Health, University College London and NIHR Great Ormond Street Hospital Biomedical Research Centre, 30 Guilford Street, London, WC1N 1EH, UK. j.sowden@ucl.ac.uk.
University College London · GBNIHR Great Ormond Street Hospital Biomedical Research CentreGreat Ormond Street Hospital · GB

Funding

Department of Health 17BR12
6 · The paper itself

Abstract

Retinal degenerative diseases are a leading cause of blindness worldwide with debilitating life-long consequences for the affected individuals. Cell therapy is considered a potential future clinical intervention to restore and preserve sight by replacing lost photoreceptors and/or retinal pigment epithelium. Development of protocols to generate retinal tissue from human pluripotent stem cells (hPSC), reliably and at scale, can provide a platform to generate photoreceptors for cell therapy and to model retinal disease in vitro. Here, we describe an improved differentiation platform to generate retinal organoids from hPSC at scale and free from time-consuming manual microdissection steps. The scale up was achieved using an agarose mould platform enabling generation of uniform self-assembled 3D spheres from dissociated hPSC in microwells. Subsequent retinal differentiation was efficiently achieved via a stepwise differentiation protocol using a number of small molecules. To facilitate clinical translation, xeno-free approaches were developed by substituting Matrigel™ and foetal bovine serum with recombinant laminin and human platelet lysate, respectively. Generated retinal organoids exhibited important features reminiscent of retinal tissue including correct site-specific localisation of proteins involved in phototransduction.

Indexed as

Pluripotent Stem CellsCell DifferentiationHumansOrganoidsRetinaRetinal Pigment Epithelium

Identifiers

PMID35459774
PMCPMC9033780
OpenAlexW4224222037

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.