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Morphological and Molecular Defects in Human Three-Dimensional Retinal Organoid Model of X-Linked Juvenile Retinoschisis

X-linked juvenile retinoschisis (XLRS), linked to mutations in the RS1 gene, is a degenerative retinopathy with a retinal splitting phenotype. We generated human induced pluripotent stem cells (hiPSCs) from patients to study XLRS in a 3D retinal organoid in vitro differentiation system. This model r...

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Detalles Bibliográficos
Autores principales: Huang, Kang-Chieh, Wang, Mong-Lien, Chen, Shih-Jen, Kuo, Jean-Cheng, Wang, Won-Jing, Nhi Nguyen, Phan Nguyen, Wahlin, Karl J., Lu, Jyh-Feng, Tran, Audrey A., Shi, Michael, Chien, Yueh, Yarmishyn, Aliaksandr A., Tsai, Ping-Hsing, Yang, Tien-Chun, Jane, Wann-Neng, Chang, Chia-Ching, Peng, Chi-Hsien, Schlaeger, Thorsten M., Chiou, Shih-Hwa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6895767/
https://www.ncbi.nlm.nih.gov/pubmed/31668851
http://dx.doi.org/10.1016/j.stemcr.2019.09.010
Descripción
Sumario:X-linked juvenile retinoschisis (XLRS), linked to mutations in the RS1 gene, is a degenerative retinopathy with a retinal splitting phenotype. We generated human induced pluripotent stem cells (hiPSCs) from patients to study XLRS in a 3D retinal organoid in vitro differentiation system. This model recapitulates key features of XLRS including retinal splitting, defective retinoschisin production, outer-segment defects, abnormal paxillin turnover, and impaired ER-Golgi transportation. RS1 mutation also affects the development of photoreceptor sensory cilia and results in altered expression of other retinopathy-associated genes. CRISPR/Cas9 correction of the disease-associated C625T mutation normalizes the splitting phenotype, outer-segment defects, paxillin dynamics, ciliary marker expression, and transcriptome profiles. Likewise, mutating RS1 in control hiPSCs produces the disease-associated phenotypes. Finally, we show that the C625T mutation can be repaired precisely and efficiently using a base-editing approach. Taken together, our data establish 3D organoids as a valid disease model.