ArticleiScience2023
Light-responsive microRNA molecules in human retinal organoids are differentially regulated by distinct wavelengths of light.
Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 12 citations in OpenAlex.
- Photostimulation improves maturation of human photoreceptors.Nature communications · 2026Article
- Long-term daily light exposure boosts human retinal organoid differentiation.Communications biology · 2026Article
- The Role of miRNAs in Retinal Physiology and in Inherited Retinal Disorders.Physiology (Bethesda, Md.) · 2026Review
- Gene Polymorphisms Associated with Osteoarthritis: Potential Implications for Nutrigenetics and Precision Nutrition.Nutrients · 2026Review
- Opportunities and challenges in studying non-coding RNAs using neural organoid models.Frontiers in molecular neuroscience · 2026Review
- Unveiling the cellular and molecular mechanisms of diabetic retinopathy with human retinal organoids.Cell death & disease · 2025Article
- Human pluripotent stem cell-derived retinal ganglion cells: advances in differentiation and translational applications.Molecular medicine (Cambridge, Mass.) · 2025Review
- Exploring organoid and assembloid technologies: a focus on retina and brain.Expert reviews in molecular medicine · 2025Review
- Development of Non-Invasive miRNA Markers for Assessing the Quality of Human Induced Pluripotent Stem Cell-Derived Retinal Organoids.International journal of molecular sciences · 2024Article
- The Role of microRNAs Related to Apoptosis forInternational journal of molecular sciences · 2024Article
- Role of ciliopathy protein TMEM107 in eye development: insights from a mouse model and retinal organoid.Life science alliance · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
Abstract
Cells in the human retina must rapidly adapt to constantly changing visual stimuli. This fast adaptation to varying levels and wavelengths of light helps to regulate circadian rhythms and allows for adaptation to high levels of illumination, thereby enabling the rest of the visual system to remain responsive. It has been shown that retinal microRNA (miRNA) molecules play a key role in regulating these processes. However, despite extensive research using various model organisms, light-regulated miRNAs in human retinal cells remain unknown. Here, we aim to characterize these miRNAs. We generated light-responsive human retinal organoids that express miRNA families and clusters typically found in the retina. Using an in-house developed photostimulation device, we identified a subset of light-regulated miRNAs. Importantly, we found that these miRNAs are differentially regulated by distinct wavelengths of light and have a rapid turnover, highlighting the dynamic and adaptive nature of the human retina.
Indexed as
Identifiers
What OpenQuestion holds
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.