Evidence map›Paper›PMID 35030321›Full record

ArticleStem cell reports2022

Inducing human retinal pigment epithelium-like cells from somatic tissue.

Ivo Ngundu Woogeng, Bogumil Kaczkowski, Imad Abugessaisa, Haiming Hu, Akihiro Tachibana, Yoshiki Sahara, Chung-Chau Hon, Akira Hasegawa, Noriko Sakai, Mitsuhiro Nishida and 11 more

Abstract read
In one paragraph

Article in Stem cell reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Evaluation of mesenchymal stem cells as anFrontiers in cell and developmental biology · 2024
    Review
  4. Article
  5. Review
  6. Article
  7. 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

21 authors.

Ivo Ngundu WoogengRIKEN Center for Biosystems Dynamics Research, Kobe 650-0047, Japan.
Bogumil KaczkowskiRIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
Imad AbugessaisaRIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
Haiming HuRIKEN Center for Biosystems Dynamics Research, Kobe 650-0047, Japan.
Akihiro TachibanaRIKEN Center for Biosystems Dynamics Research, Kobe 650-0047, Japan.
Yoshiki SaharaRIKEN Center for Biosystems Dynamics Research, Kobe 650-0047, Japan; Laboratory of Molecular Cell Biology and Development, Department of Animal Development and Physiology, Graduate School of Biostudies, Kyoto University, Kyoto 606-8501, Japan; Department of Renal and Cardiovascular Research, New Drug Research Division, Otsuka Pharmaceutical Co. Ltd., Tokushima 771-0192, Japan.
Chung-Chau HonRIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
Akira HasegawaRIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
Noriko SakaiRIKEN Center for Biosystems Dynamics Research, Kobe 650-0047, Japan.
Mitsuhiro NishidaRIKEN Center for Biosystems Dynamics Research, Kobe 650-0047, Japan.
Hashimita SanyalRIKEN Center for Biosystems Dynamics Research, Kobe 650-0047, Japan.
Junki ShoRIKEN Center for Biosystems Dynamics Research, Kobe 650-0047, Japan.
Keisuke KajitaRIKEN Center for Biosystems Dynamics Research, Kobe 650-0047, Japan.
Takeya KasukawaRIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
Minoru TakasatoRIKEN Center for Biosystems Dynamics Research, Kobe 650-0047, Japan; Laboratory of Molecular Cell Biology and Development, Department of Animal Development and Physiology, Graduate School of Biostudies, Kyoto University, Kyoto 606-8501, Japan.
Piero CarninciRIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan; Human Technopole, Via Rita Levi Montalcini 1, Milan, Italy.
Akiko MaedaRIKEN Center for Biosystems Dynamics Research, Kobe 650-0047, Japan.
Michiko MandaiRIKEN Center for Biosystems Dynamics Research, Kobe 650-0047, Japan.
Erik ArnerRIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.
Masayo TakahashiRIKEN Center for Biosystems Dynamics Research, Kobe 650-0047, Japan.
Cody KimeRIKEN Center for Biosystems Dynamics Research, Kobe 650-0047, Japan. Electronic address: cody.kime@a.riken.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regenerative medicine relies on basic research outcomes that are only practical when cost effective. The human eyeball requires the retinal pigment epithelium (RPE) to interface the neural retina and the choroid at large. Millions of people suffer from age-related macular degeneration (AMD), a blinding multifactor genetic disease among RPE degradation pathologies. Recently, autologous pluripotent stem-cell-derived RPE cells were prohibitively expensive due to time; therefore, we developed a faster reprogramming system. We stably induced RPE-like cells (iRPE) from human fibroblasts (Fibs) by conditional overexpression of both broad plasticity and lineage-specific transcription factors (TFs). iRPE cells displayed critical RPE benchmarks and significant in vivo integration in transplanted retinas. Herein, we detail the iRPE system with comprehensive single-cell RNA sequencing (scRNA-seq) profiling to interpret and characterize its best cells. We anticipate that our system may enable robust retinal cell induction for basic research and affordable autologous human RPE tissue for regenerative cell therapy.

Indexed as

Cellular ReprogrammingAnimalsDisulfidesFibroblastsGene Expression RegulationHumansIndole AlkaloidsMachine LearningNiacinamideRatsRetinaRetinal Pigment EpitheliumTranscription FactorschetominDisulfidesIndole AlkaloidsNiacinamideTranscription Factorscell biologycell plasticityregenerative medicinereprogrammingretinascRNA-seqtranscriptomics

Identifiers

PMID35030321
PMCPMC8828536

What OpenQuestion holds

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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.