← BioTransfer GEO Dataset Finder
GEO series

Unravelling Stargardt Disease (STGD1): Modelling Genotype-Phenotype Correlations and Unresolved Genetic Variants in iPSC-Derived Retinal Organoids

GSE236097 Homo sapiens Expression profiling by high throughput sequencing 4 samples Submitted 2025/02/07 Platform GPL24676
Summary
Stargardt disease (STGD1) is an inherited retinopathy affecting approximately 1:8,000 individuals. It is characterised by biallelic mutations in ABCA4, and encodes a vital protein for the recycling of retinaldehyde in the retina. Despite its prevalence and impact, there are currently no treatments available for this condition. Furthermore, 35% of STGD1 cases remain genetically unsolved. Efforts have been directed towards comprehending the fundamental disease mechanisms and identifying all disease-causing variants in the extensive 150kb gene, to better aid with the development of effective therapeutic strategies. In this study, we generated iPSC lines from two monoallelic (PT1 & PT2), late onset STGD1 cases with the heterozygous complex allele - c.[5461-10T>C;5603A>T]. We differentiated these cells alongside a biallelic affected control (AC) - c.4892T>C, and c.4539+2001G>A, to retinal organoids (ROs) allowing us to investigate cellular and molecular characteristics associated with STGD1. We hypothesized that the missing inheritance in our monoallelic cases is due to an RNA defect. Consequently, we utilised a myriad of sequencing strategies including WGS, single-cell RNA sequencing (scRNAseq) and long-read RNA sequencing (LRS) to address this. ROs were grown for 230 days and developed all key retinal neurons with photoreceptor outer segments capable of ABCA4 expression. We observed patient-specific disruption to lamination with OPN1MW/LW+ cone photoreceptor retention in the RO centre during differentiation. Retention was more severe in the AC case affecting both cones and rods, suggesting a genotype/phenotype correlation. scRNAseq suggests retention may be due to the induction of apoptosis in photoreceptors. WGS successfully identified the missing alleles in both cases; PT1 reported c. 5603A>T in homozygous state and PT2 uncovered a rare hypomorph - c.4865T>C. Furthermore, ROs were able to recapitulate the retina-specific splicing defect in PT1 as shown by LRS data. Collectively, these results highlight the suitability of ROs in STGD1 modelling. Their ability to display genotype-phenotype correlations enhances their utility as a platform for therapeutic development. Importantly, both PT1 and PT2 cases were genetically resolved in this study, providing two more individuals their confirmed genetic diagnosis.
Published in
Unravelling genotype-phenotype correlations in Stargardt disease using patient-derived retinal organoids
Watson A, Queen R, Ferrández-Peral L et al. · Cell death & disease 2025 · PMID 39971915 · doi:10.1038/s41419-025-07420-7
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE236097_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA988887 and SRA study SRP446578. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 4 more — browse all 4 samples with per-sample file links →

Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.