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Improved Retinal Organoid Differentiation by Modulating Signaling Pathways Revealed by Comparative Transcriptome Analyses with Development In Vivo

Stem cell-derived retinal organoids recapitulate many landmarks of in vivo differentiation but lack functional maturation of distinct cell types, especially photoreceptors. Using comprehensive temporal transcriptome analyses, we show that transcriptome shift from postnatal day 6 (P6) to P10, associa...

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Detalles Bibliográficos
Autores principales: Brooks, Matthew J., Chen, Holly Y., Kelley, Ryan A., Mondal, Anupam K., Nagashima, Kunio, De Val, Natalia, Li, Tiansen, Chaitankar, Vijender, Swaroop, Anand
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6895716/
https://www.ncbi.nlm.nih.gov/pubmed/31631019
http://dx.doi.org/10.1016/j.stemcr.2019.09.009
Descripción
Sumario:Stem cell-derived retinal organoids recapitulate many landmarks of in vivo differentiation but lack functional maturation of distinct cell types, especially photoreceptors. Using comprehensive temporal transcriptome analyses, we show that transcriptome shift from postnatal day 6 (P6) to P10, associated with morphogenesis and synapse formation during mouse retina development, was not evident in organoids, and co-expression clusters with similar patterns included different sets of genes. Furthermore, network analysis identified divergent regulatory dynamics between developing retina in vivo and in organoids, with temporal dysregulation of specific signaling pathways and delayed or reduced expression of genes involved in photoreceptor function(s) and survival. Accordingly, addition of docosahexaenoic acid and fibroblast growth factor 1 to organoid cultures specifically promoted the maturation of photoreceptors, including cones. Our study thus identifies regulatory signals deficient in developing retinal organoids and provides experimental validation by producing a more mature retina in vitro, thereby facilitating investigations in disease modeling and therapies.