ArticleCommunications biology2020
Investigating cone photoreceptor development using patient-derived NRL null retinal organoids.
Article in Communications biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 1 of them a synthesis that pooled it.
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Who cites it
60 citing papers in PubMed, 1 synthesis or guideline pooled it, 98 citations in OpenAlex.
- Retinal Organoids from Induced Pluripotent Stem Cells of Patients with Inherited Retinal Diseases: A Systematic Review.Stem cell reviews and reports · 2025Pooled it
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- Profiling miRNAs Involved in Human Oligodendrocyte Precursor Cell Differentiation and Maturation.Cells · 2026Article
- Accessory Inner Segment-Like Structures Develop in Human Retinal Organoids.Stem cell reviews and reports · 2026Article
- Retinal organoids: current status of development and new avenues for application in disease modeling, drug discovery and therapeutics.International journal of retina and vitreous · 2026Review
- Current Advances and Applications of Retinal Organoids.Neuroscience bulletin · 2026Review
- Retinoic acid drives cell fate specification, maturation and retinal regionality in human retinal organoids.Nature communications · 2026Article
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- DIO3 coordinates photoreceptor development timing and fate stability in human retinal organoids.Genes & development · 2026Article
- Reporter-guided photoreceptor differentiation in 2D culture using PGP1-hIPSCs: A comparable alternative to 3D organoid systems?Molecular vision · 2026Article
- Single-Cell Transcriptomics onBiomedicines · 2025Article
- Connecting cilium, stress response, and proteostasis abnormalities inform variant and therapy assessment in RPGRIP1 retinal organoids.Stem cell reports · 2025Article
- Advances in Stem Cell Therapies for Ocular Diseases: Progress in Clinical Trials and Future Perspectives.Stem cell reviews and reports · 2025Review
- Organoids in Genetic Disorders: from Disease Modeling to Translational Applications.Stem cell reviews and reports · 2025Review
- Article
- Device-free isolation of photoreceptor cells from patient iPSC-derived retinal organoids.JCI insight · 2025Article
- Simple 3D-Printed Stirred Bioreactor Enhances Retinal Organoid Production Via Improved Oxygenation.bioRxiv : the preprint server for biology · 2025Article
- Biomedical applications of organoids in genetic diseases.Medical review (2021) · 2025Review
- Vulnerability of the NrlAdvances in experimental medicine and biology · 2025Article
- CRISPR-CasRx-mediated disruption of Aqp1/Adrb2/Rock1/Rock2 genes reduces intraocular pressure and retinal ganglion cell damage in mice.Nature communications · 2024Article
Corrections and comments
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Authors and funding
14 authors at 3 institutions in 1 country.
Funding
Abstract
Photoreceptor loss is a leading cause of blindness, but mechanisms underlying photoreceptor degeneration are not well understood. Treatment strategies would benefit from improved understanding of gene-expression patterns directing photoreceptor development, as many genes are implicated in both development and degeneration. Neural retina leucine zipper (NRL) is critical for rod photoreceptor genesis and degeneration, with NRL mutations known to cause enhanced S-cone syndrome and retinitis pigmentosa. While murine Nrl loss has been characterized, studies of human NRL can identify important insights for human retinal development and disease. We utilized iPSC organoid models of retinal development to molecularly define developmental alterations in a human model of NRL loss. Consistent with the function of NRL in rod fate specification, human retinal organoids lacking NRL develop S-opsin dominant photoreceptor populations. We report generation of two distinct S-opsin expressing populations in NRL null retinal organoids and identify MEF2C as a candidate regulator of cone development.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.