One-step induction of photoreceptor-like cells from human iPSCs by delivering transcription factors.

Cell biology Molecular biology Stem cells research

Journal

iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038

Informations de publication

Date de publication:
15 Apr 2022
Historique:
received: 13 07 2021
revised: 10 01 2022
accepted: 24 02 2022
entrez: 25 3 2022
pubmed: 26 3 2022
medline: 26 3 2022
Statut: epublish

Résumé

Retinal dystrophies (RDs) lead to irreversible vision impairment with no radical treatment. Although photoreceptor cells (PRCs) differentiated from human induced pluripotent stem cells (iPSCs) are essential for the study of RDs as a scalable source, current differentiation methods for PRCs require multiple steps. To address these issues, we developed a method to generate PRCs from human iPSCs by introducing the transcription factors, CRX and NEUROD1. This approach enabled us to generate induced photoreceptor-like cells (iPRCs) expressing PRC markers. Single-cell RNA sequencing revealed the transcriptome of iPRCs in which the genes associated with phototransduction were expressed. Generated iPRCs exhibited their functional properties in calcium imaging. Furthermore, light-induced damage on iPRCs was inhibited by an antioxidant compound. This simple approach would facilitate the availability of materials for PRC-related research and provide a useful application for disease modeling and drug discovery.

Identifiants

pubmed: 35330684
doi: 10.1016/j.isci.2022.103987
pii: S2589-0042(22)00257-7
pmc: PMC8938283
doi:

Types de publication

Journal Article

Langues

eng

Pagination

103987

Informations de copyright

© 2022 The Authors.

Déclaration de conflit d'intérêts

The authors declare no competing interests.

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Auteurs

Yuki Otsuka (Y)

iPSC-based Drug Discovery and Development Team, RIKEN BioResource Research Center, Kyoto, Japan.
Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan.
Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan.

Keiko Imamura (K)

iPSC-based Drug Discovery and Development Team, RIKEN BioResource Research Center, Kyoto, Japan.
Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan.
RIKEN Center for Advanced Intelligence Project (AIP), Kyoto, Japan.

Akio Oishi (A)

Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan.

Takayuki Kondo (T)

iPSC-based Drug Discovery and Development Team, RIKEN BioResource Research Center, Kyoto, Japan.
Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan.
RIKEN Center for Advanced Intelligence Project (AIP), Kyoto, Japan.

Mika Suga (M)

iPSC-based Drug Discovery and Development Team, RIKEN BioResource Research Center, Kyoto, Japan.
Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan.

Yuichiro Yada (Y)

iPSC-based Drug Discovery and Development Team, RIKEN BioResource Research Center, Kyoto, Japan.
Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan.

Ran Shibukawa (R)

iPSC-based Drug Discovery and Development Team, RIKEN BioResource Research Center, Kyoto, Japan.
Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan.

Yasue Okanishi (Y)

iPSC-based Drug Discovery and Development Team, RIKEN BioResource Research Center, Kyoto, Japan.

Yukako Sagara (Y)

iPSC-based Drug Discovery and Development Team, RIKEN BioResource Research Center, Kyoto, Japan.

Kayoko Tsukita (K)

iPSC-based Drug Discovery and Development Team, RIKEN BioResource Research Center, Kyoto, Japan.
Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan.

Akitaka Tsujikawa (A)

Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan.

Haruhisa Inoue (H)

iPSC-based Drug Discovery and Development Team, RIKEN BioResource Research Center, Kyoto, Japan.
Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan.
RIKEN Center for Advanced Intelligence Project (AIP), Kyoto, Japan.

Classifications MeSH