ArticleScientific reports2019
Transcriptomic profiles of retinal ganglion cells are defined by the magnitude of intraocular pressure elevation in adult mice.
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 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Glial Cell Activation and Immune Responses in Glaucoma: A Systematic Review of Human Postmortem Studies of the Retina and Optic Nerve.Aging and disease · 2024Pooled it
- Article
- Generation of Retinal Ganglion Cells from Reprogrammed Keratocytes of Non-Glaucoma and Glaucoma Donors.Current protocols · 2025Article
- Article
- Small Heat Shock Proteins in Retinal Diseases.Frontiers in molecular biosciences · 2022Review
- Differential Retinal Ganglion Cell Vulnerability, A Critical Clue for the Identification of Neuroprotective Genes in Glaucoma.Frontiers in ophthalmology · 2022Review
- Selective vulnerability of the intermediate retinal capillary plexus precedes retinal ganglion cell loss in ocular hypertension.Frontiers in cellular neuroscience · 2022Article
- Effects of Hydrostatic Pressure on Electrical Retinal Activity in a Multielectrode Array-BasedFrontiers in neuroscience · 2022Article
- Stimulation of α7 nAChR leads to regeneration of damaged neurons in adult mammalian retinal disease models.Experimental eye research · 2021Article
- miRNA Changes in Retinal Ganglion Cells after Optic Nerve Crush and Glaucomatous Damage.Cells · 2021Article
- Review
- Commonalities of optic nerve injury and glaucoma-induced neurodegeneration: Insights from transcriptome-wide studies.Experimental eye research · 2021Review
- Quick Commitment and Efficient Reprogramming Route of Direct Induction of Retinal Ganglion Cell-like Neurons.Stem cell reports · 2020Article
- Intraocular Pressure Elevation Compromises Retinal Ganglion Cell Light Adaptation.Investigative ophthalmology & visual science · 2020Article
- Modeling a potential SANS countermeasure by experimental manipulation of the translaminar pressure difference in mice.NPJ microgravity · 2020Article
- Article
- A broad perspective on the molecular regulation of retinal ganglion cell degeneration in glaucoma.Progress in brain research · 2020Review
- Systemically administered peptain-1 inhibits retinal ganglion cell death in animal models: implications for neuroprotection in glaucoma.Cell death discovery · 2019Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Elevated intraocular pressure (IOP) is the major risk factor for glaucoma, a sight threatening disease of retinal ganglion cells (RGCs) and their axons. Despite the central importance of IOP, details of the impact of IOP elevation on RGC gene expression remain elusive. We developed a 4-step immunopanning protocol to extract adult mouse RGCs with high fidelity and used it to isolate RGCs from wild type mice exposed to 2 weeks of IOP elevation generated by the microbead model. IOP was elevated to 2 distinct levels which were defined as Mild (IOP increase >1 mmHg and <4 mmHg) and Moderate (IOP increase ≥4 mmHg). RNA sequencing was used to compare the transcriptional environment at each IOP level. Differentially expressed genes were markedly different between the 2 groups, and pathway analysis revealed frequently opposed responses between the IOP levels. These results suggest that the magnitude of IOP elevation has a critical impact on RGC transcriptional changes. Furthermore, it is possible that IOP-based set points exist within RGCs to impact the direction of transcriptional change. It is possible that this improved understanding of changes in RGC gene expression can ultimately lead to novel diagnostics and therapeutics for glaucoma.
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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.