ArticleMethods in molecular biology (Clifton, N.J.)2023
Optic Nerve Crush Injury in Rodents to Study Retinal Ganglion Cell Neuroprotection and Regeneration.
Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- Transient functional preservation precedes retinal ganglion cell degeneration following optic nerve crush.IBRO neuroscience reports · 2026Article
- Overexpression or Activation of Potassium Channel TASK-3 Protects Retinal Ganglion Cells and Restores Visual Function in Optic Nerve Crush.Investigative ophthalmology & visual science · 2026Article
- Multi-Target Neuroprotective Effects of Flavonoid-RichInternational journal of molecular sciences · 2025Article
- Glaucoma Animal Models beyond Chronic IOP Increase.International journal of molecular sciences · 2024Review
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Optic nerve crush injury is a useful model for studying the response of central nervous system neurons (CNS) to injury. A particular focus of this model has been to elucidate therapeutic factors in promoting neuroprotection and axon regeneration after injury. Here we describe a step-by-step protocol in accessing the optic nerve and creating a crush injury. This can be used to create a reproducible model to study the response of retinal ganglion cells (RGC), the main projection neurons of the eye, to injury.
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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.