ArticleScientific reports2019
Molecular signatures of retinal ganglion cells revealed through single cell profiling.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
What it found
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Who cites it
44 citing papers in PubMed, 72 citations in OpenAlex.
- Müller glia derived EVs promote neurite recovery of an enriched population of retinal ganglion like cells derived from hESC retinal organoids after damage.Scientific reports · 2026Article
- Stem Cell-Based Interventions for Retinal Ganglion Cell Protection and Regeneration in Glaucoma: A Review of Current Evidence and Future Directions.Ophthalmic research · 2026Review
- A complete spatial map of mouse retinal ganglion cells reveals density and gene expression specializations.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Single-Cell Transcriptomics onBiomedicines · 2025Article
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- Optic nerve injury impairs intrinsic mechanisms underlying electrical activity in a resilient retinal ganglion cell.The Journal of physiology · 2025Article
- Machine Learning Identifies Key Gene Markers Related to Fetal Retina Development at Single-Cell Transcription Level.Investigative ophthalmology & visual science · 2025Article
- Spatial distribution and functional integration of displaced retinal ganglion cells.Scientific reports · 2025Article
- The role of neurotrophic factors in retinal ganglion cell resiliency.Frontiers in cellular neuroscience · 2025Review
- Retinal ganglion cell circuits and glial interactions in humans and mice.Trends in neurosciences · 2024Review
- A metabotropic glutamate receptor agonist enhances visual signal fidelity in a mouse model of retinitis pigmentosa.bioRxiv : the preprint server for biology · 2024Article
- Role of PKN1 in Retinal Cell Type Formation.International journal of molecular sciences · 2024Article
- Multi-omics in exploring the pathophysiology of diabetic retinopathy.Frontiers in cell and developmental biology · 2024Review
- Patch-seq: Advances and Biological Applications.Cellular and molecular neurobiology · 2023Review
- stAA: adversarial graph autoencoder for spatial clustering task of spatially resolved transcriptomics.Briefings in bioinformatics · 2023Article
- RGC-Net: An Automatic Reconstruction and Quantification Algorithm for Retinal Ganglion Cells Based on Deep Learning.Translational vision science & technology · 2023Article
- Large-scale interrogation of retinal cell functions by 1-photon light-sheet microscopy.Cell reports methods · 2023Article
- Viral Vector-Induced Ocular Hypertension in Mice.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Transcriptomic Analysis Reveals That Granulocyte Colony-Stimulating Factor Trigger a Novel Signaling Pathway (TAF9-P53-TRIAP1-CASP3) to Protect Retinal Ganglion Cells after Ischemic Optic Neuropathy.International journal of molecular sciences · 2022Article
- Tools and Biomarkers for the Study of Retinal Ganglion Cell Degeneration.International journal of molecular sciences · 2022Review
Corrections and comments
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Authors and funding
12 authors at 4 institutions in 2 countries.
Funding
Abstract
Retinal ganglion cells can be classified into more than 40 distinct subtypes, whether by functional classification or transcriptomics. The examination of these subtypes in relation to their physiology, projection patterns, and circuitry would be greatly facilitated through the identification of specific molecular identifiers for the generation of transgenic mice. Advances in single cell transcriptomic profiling have enabled the identification of molecular signatures for cellular subtypes that are only rarely found. Therefore, we used single cell profiling combined with hierarchical clustering and correlate analyses to identify genes expressed in distinct populations of Parvalbumin-expressing cells and functionally classified RGCs. RGCs were manually isolated based either upon fluorescence or physiological distinction through cell-attached recordings. Microarray hybridization and RNA-Sequencing were employed for the characterization of transcriptomes and in situ hybridization was utilized to further characterize gene candidate expression. Gene candidates were identified based upon cluster correlation, as well as expression specificity within physiologically distinct classes of RGCs. Further, we identified Prph, Ctxn3, and Prkcq as potential candidates for ipRGC classification in the murine retina. The use of these genes, or one of the other newly identified subset markers, for the generation of a transgenic mouse would enable future studies of RGC-subtype specific function, wiring, and projection.
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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.