Transcriptomics

Dataset Information

0

Retinoic acid drives cell fate specification, maturation and retinal regionality in human retinal organoids [scRNA-seq]


ABSTRACT: Retinoic acid (RA) is a key morphogen in human retinal development, activating transcriptional programs that drive retinal progenitor differentiation and photoreceptor development, ensuring proper spatial organisation within the neural retina, essential for vision. Despite its well-established role in retinal patterning, the concentration-dependent effects of RA on human retinal cell fate specification and the regional definition of the primate macula and peripheral retina remain poorly understood. Here, we show that temporal and dosage-dependant modulation of RA during human retinal organoid differentiation induces distinct changes in retinal cell abundance, maturation, and organisation. Single-cell transcriptomics and protein analysis revealed that RA dosage influenced the relative abundance and maturation of photoreceptors and retinal interneurons. Spatial transcriptomics analyses demonstrated that low RA levels biased retinal organoids toward a macular-like regional identity, whereas high RA levels promoted peripheral-like development. Collectively, our findings emphasise the critical role of RA signalling in retinal maturation and regional specification. This study elucidates mechanisms involved in human retinal development and we anticipate that controlled RA modulation in retinal organoids provides a strategy to refine disease modelling of inherited retinal disorders and enhance the specific generation of photoreceptors suitable for transplantation and regenerative therapies.

ORGANISM(S): Homo sapiens

PROVIDER: GSE293457 | GEO | 2026/03/22

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2026-03-22 | GSE293582 | GEO
2026-03-22 | GSE293464 | GEO
2009-01-13 | E-GEOD-13999 | biostudies-arrayexpress
2024-05-16 | GSE252861 | GEO
2021-09-01 | GSE158718 | GEO
2019-09-05 | GSE135465 | GEO
2010-06-14 | E-GEOD-22317 | biostudies-arrayexpress
2018-01-18 | GSE102727 | GEO
2010-01-01 | GSE19304 | GEO
2016-09-09 | GSE86790 | GEO