ReviewMethods in molecular biology (Clifton, N.J.)2023
Methods to Identify Rat and Mouse Retinal Ganglion Cells in Retinal Flat-Mounts.
Review 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 2 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.
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
2 citing papers in PubMed, 3 citations in OpenAlex.
- Minocycline Administration Does Not Have an Effect on Retinal Ganglion Cell Survival in a Murine Model of Ocular Hypertension.Aging and disease · 2024Article
- Comparison of Brn3a and RBPMS Labeling to Assess Retinal Ganglion Cell Loss During Aging and in a Model of Optic Neuropathy.Investigative ophthalmology & visual science · 2024Article
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The identification of distinct retinal ganglion cell (RGC) populations in flat-mounted retinas is key to investigating pathological or pharmacological effects in these cells. In this chapter, we review the main techniques for detecting the total population of RGCs and various of their subtypes in whole-mounted retinas of pigmented and albino rats and mice, four of the animal strains most studied by the scientific community in the retina field. These methods are based on the studies published by the Vidal-Sanz's laboratory.
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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.