Evidence map›Paper›PMID 36681719›Full record

ArticleScientific reports2023

Comparing the transcriptome of developing native and iPSC-derived mouse retinae by single cell RNA sequencing.

Anouk Georges, Arnaud Lavergne, Michiko Mandai, Fanny Lepiemme, Latifa Karim, Loic Demeulenaere, Diego Aguilar, Michael Schyns, Laurent Nguyen, Jean-Marie Rakic and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Animal models for the evaluation of retinal stem cell therapies.Progress in retinal and eye research · 2025
    Review
  4. Article
  5. Integrating single-cell RNA-seq datasets with substantial batch effects.bioRxiv : the preprint server for biology · 2024
    Article
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 2 institutions in 2 countries.

Anouk GeorgesGIGA Stem Cells, GIGA Institute, University of Liège, Liège, Belgium.
Arnaud LavergneGIGA Bioinformatics Platform, GIGA Institute, University of Liège, Liège, Belgium.
Michiko MandaiLaboratory for Retinal Regeneration, Center for Developmental Biology, RIKEN, Kobe, Japan.
Fanny LepiemmeGIGA Stem Cells, GIGA Institute, University of Liège, Liège, Belgium.
Latifa KarimGIGA Genomics Platform, GIGA Institute, University of Liège, Liège, Belgium.
Loic DemeulenaereUnit of Animal Genomics, GIGA Institute, University of Liège, Liège, Belgium.
Diego AguilarUnit of Animal Genomics, GIGA Institute, University of Liège, Liège, Belgium.
Michael SchynsDigital Business, HEC Management School, University of Liège, Liège, Belgium.
Laurent NguyenGIGA Stem Cells, GIGA Institute, University of Liège, Liège, Belgium.
Jean-Marie RakicDepartment of Ophthalmology, Faculty of Medicine and CHU University Hospital, University of Liège, Liège, Belgium.
Masayo TakahashiLaboratory for Retinal Regeneration, Center for Biosystems Dynamics Research, RIKEN, Kobe, Japan.
Michel GeorgesUnit of Animal Genomics, GIGA Institute, University of Liège, Liège, Belgium. michel.georges@uliege.be.
Haruko TakedaUnit of Animal Genomics, GIGA Institute, University of Liège, Liège, Belgium.
University of Liège · BERIKEN Center for Biosystems Dynamics Research · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report the generation and analysis of single-cell RNA-Seq data (> 38,000 cells) from mouse native retinae and induced pluripotent stem cell (iPSC)-derived retinal organoids at four matched stages of development spanning the emergence of the major retinal cell types. We combine information from temporal sampling, visualization of 3D UMAP manifolds, pseudo-time and RNA velocity analyses, to show that iPSC-derived 3D retinal organoids broadly recapitulate the native developmental trajectories. However, we observe relaxation of spatial and temporal transcriptome control, premature emergence and dominance of photoreceptor precursor cells, and susceptibility of dynamically regulated pathways and transcription factors to culture conditions in retinal organoids. We demonstrate that genes causing human retinopathies are enriched in cell-type specifying genes and identify a subset of disease-causing genes with expression profiles that are highly conserved between human retinae and murine retinal organoids. This study provides a resource to the community that will be useful to assess and further improve protocols for ex vivo recapitulation and study of retinal development.

Indexed as

Induced Pluripotent Stem CellsAnimalsCell DifferentiationHumansMiceOrganoidsPhotoreceptor CellsRetinaSequence Analysis, RNATranscriptome

Identifiers

PMID36681719
PMCPMC9867755
OpenAlexW4317666368

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.