Evidence map›Paper›PMID 41982463›Full record

ArticleMolecular vision2026

Analysis of retinal ganglion cell subtypes across six different inbred mouse strains.

Su-Ting Lin, Fangyu Lin, Jiaxing Wang, Eldon E Geisert

Abstract read
In one paragraph

Article in Molecular vision, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Su-Ting LinDepartment of Ophthalmology, Emory University, Atlanta GA.
Fangyu LinDepartment of Ophthalmology, Emory University, Atlanta GA.
Jiaxing WangDepartment of Ophthalmology, Emory University, Atlanta GA.
Eldon E GeisertDepartment of Ophthalmology, Emory University, Atlanta GA.

Funding

P30-Core Grant for Vision Research Core CP30EY006360 · NEI · EMORY UNIVERSITY · PI BOATRIGHT, JEFFREY H · 1986 to 2025
$15.3M
Modulators for Retinal Ganglion Cell InjuryR01EY031042 · NEI · EMORY UNIVERSITY · PI GEISERT, ELDON E · 2021 to 2025
$2.4M
NEI NIH HHS P30 EY006360NEI NIH HHS R01 EY031042
6 · The paper itself

Abstract

Purpose: Retinal ganglion cells (RGCs) are the principal conduits responsible for propagating visual stimuli from the retina to visual centers in the brain. The loss of RGCs leads to visual deficits following trauma or in diseases such as glaucoma. Mouse models are consistently used to investigate root causes for RGC loss. This study quantifies the total number of RGCs and selected RGC subtypes across six strains of inbred mice used in ophthalmic research. Methods: Six mouse strains (C57BL/6J, BALB/cByJ, 129X1/SvJ, A/J, CBA/CaJ, and CAST/EiJ) were selected to represent genetic diversity across the mouse genome. Normal retinas were immunostained for POU6F2, BRN3A, SATB2, OPN4, SMI32, and TO-PRO-3. Cells positively labeled for POU6F2, BRN3A, and SATB2 were quantified using an automated deep learning tool, RGCode. Cells labeled with OPN4, SMI32, and TO-PRO-3 were quantified using the Fiji software. Results: We found statistically significant differences in the quantity (Mean±SEM) and percentage of different RGCs across the inbred mouse strains. The total number of RGCs per retina ranged from 39,961±838 in CAST/EiJ to 53,872±1864 in 129X1/SvJ (p<0.005). Global BRN3A counts ranged from 34,572±494 in CAST/EiJ to 44,253±798 in C57BL/6J (p<0.005). SATB2 counts ranged from 9944±384 in BALB/cByJ to 15,872±1196 in CBA/CaJ (p<0.005). OPN4 density ranged from 110±7 cells/mm Conclusions: There is a significant variation in total RGC counts and RGC subtypes across the different mouse strains. When working with different strains of mice, it is important to consider this strain-based variation before drawing conclusions from experimental data.

Indexed as

Retinal Ganglion CellsAnimalsCell CountMaleMiceMice, Inbred BALB CMice, Inbred C57BLMice, Inbred CBAMice, Inbred StrainsSpecies Specificity

Identifiers

PMID41982463
PMCPMC13070732

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Registered trials

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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.