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Single cell transcriptomics of retinal organoids reveal effects of PRPF31 mutations on Mueller glial activation and progressive photoreceptor degeneration

GSE307923 Homo sapiens Expression profiling by high throughput sequencing 4 samples Submitted 2026/03/10 Platform GPL30173
Summary
Retinitis pigmentosa (RP) encompasses a group of inherited retinal disorders characterized by progressive degeneration of rod and cone photoreceptors, leading to vision loss. Among RP subtypes, RP11 is linked to mutations in PRPF31, a key spliceosome component, resulting in retinal cell dysfunction. Although PRPF31 is ubiquitously expressed, its mutations predominantly impact retinal cells, leading to the progressive loss of photoreceptors. Human induced pluripotent stem cell (hiPSC)-derived retinal organoids (ROs) offer a powerful in vitro model for studying RP pathophysiology and therapeutic development. Despite significant progress, studies focused on photoreceptor and retinal pigment epithelium dysfunction in late disease stages, leaving early molecular events and the involvement of other retinal cell types unresolved. Moreover, comprehensive single-cell analyses capturing dynamic transcriptional changes across all retinal populations at early and late differentiation stages are still lacking. Using patient-derived ROs, this study investigates the developmental trajectory of PRPF31-RP11 mutation through single-cell RNA sequencing, highlighting early Müller glial expansion, retinal ganglion cell stress, and progressive photoreceptor degeneration. Findings identify dysregulated molecular pathways associated with phototransduction, oxidative stress, and inflammation, providing insights into RP11 pathogenesis and potential therapeutic targets.
Published in
Single-Cell Transcriptomics on PRPF31-Mutated Retinal Organoids Reveal Early Müller Glial Activation and Progressive Photoreceptor Degeneration
Bellapianta A, Qi J, Giugliano M et al. · Biomedicines 2025 · PMID 41595581 · doi:10.3390/biomedicines14010045
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Also filed as BioProject PRJNA1327834 and SRA study SRP619658. Searching any of these in the dataset finder brings you back here.

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