Evidence map›Paper›PMID 25982268›Full record

ArticleStem cells (Dayton, Ohio)2015

Transplantation of Photoreceptor Precursors Isolated via a Cell Surface Biomarker Panel From Embryonic Stem Cell-Derived Self-Forming Retina.

Jorn Lakowski, Anai Gonzalez-Cordero, Emma L West, Ya-Ting Han, Emily Welby, Arifa Naeem, Samuel J I Blackford, James W B Bainbridge, Rachael A Pearson, Robin R Ali and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Stem cells (Dayton, Ohio), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 1 pooled it
7.7field-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

80 citing papers in PubMed, 1 synthesis or guideline pooled it, 120 citations in OpenAlex.

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  15. RIPK necrotic cell death pathway in both donor photoreceptor and host immune cells synergize to affect photoreceptor graft survival.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2023
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20 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 1 institution in 1 country.

Jorn LakowskiStem Cells and Regenerative Medicine Section, UCL Institute of Child Health, University College London, London, United Kingdom.
Anai Gonzalez-CorderoDepartment of Genetics, UCL Institute of Ophthalmology, London, United Kingdom.
Emma L WestDepartment of Genetics, UCL Institute of Ophthalmology, London, United Kingdom.
Ya-Ting HanStem Cells and Regenerative Medicine Section, UCL Institute of Child Health, University College London, London, United Kingdom.
Emily WelbyStem Cells and Regenerative Medicine Section, UCL Institute of Child Health, University College London, London, United Kingdom.
Arifa NaeemDepartment of Genetics, UCL Institute of Ophthalmology, London, United Kingdom.
Samuel J I BlackfordDepartment of Genetics, UCL Institute of Ophthalmology, London, United Kingdom.
James W B BainbridgeDepartment of Genetics, UCL Institute of Ophthalmology, London, United Kingdom.
Rachael A PearsonDepartment of Genetics, UCL Institute of Ophthalmology, London, United Kingdom.
Robin R AliDepartment of Genetics, UCL Institute of Ophthalmology, London, United Kingdom.
Jane C SowdenStem Cells and Regenerative Medicine Section, UCL Institute of Child Health, University College London, London, United Kingdom.
University College London · GB

Funding

Department of Health NIHR-RP-011-003Medical Research Council G0700089Medical Research Council G0901550Medical Research Council GR082557Medical Research Council MC_PC_15004Medical Research Council mr/j004553/1Medical Research Council MR/J004553/1Medical Research Council MR/M007871/1Medical Research Council MR/M015688/1
6 · The paper itself

Abstract

Loss of photoreceptors due to retinal degeneration is a major cause of untreatable blindness. Cell replacement therapy, using pluripotent stem cell-derived photoreceptor cells, may be a feasible future treatment. Achieving safe and effective cell replacement is critically dependent on the stringent selection and purification of optimal cells for transplantation. Previously, we demonstrated effective transplantation of post-mitotic photoreceptor precursor cells labelled by fluorescent reporter genes. As genetically labelled cells are not desirable for therapy, here we developed a surface biomarker cell selection strategy for application to complex pluripotent stem cell differentiation cultures. We show that a five cell surface biomarker panel CD73(+)CD24(+)CD133(+)CD47(+)CD15(-) facilitates the isolation of photoreceptor precursors from three-dimensional self-forming retina differentiated from mouse embryonic stem cells. Importantly, stem cell-derived cells isolated using the biomarker panel successfully integrate and mature into new rod photoreceptors in the adult mouse retinae after subretinal transplantation. Conversely, unsorted or negatively selected cells do not give rise to newly integrated rods after transplantation. The biomarker panel also removes detrimental proliferating cells prior to transplantation. Notably, we demonstrate how expression of the biomarker panel is conserved in the human retina and propose that a similar selection strategy will facilitate isolation of human transplantation-competent cells for therapeutic application.

Indexed as

Retinal Rod Photoreceptor CellsStem Cell TransplantationAnimalsAntigens, DifferentiationHumansMiceMouse Embryonic Stem CellsRetinal DegenerationAntigens, DifferentiationBlindnessEmbryonic stem cellsPhotoreceptor cellsRetinaRetinal dystrophiesSurface antigensTransplantation

Identifiers

PMID25982268
PMCPMC4862023
OpenAlexW1736712834

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.