Evidence map›Paper›PMID 41452983›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

A complete spatial map of mouse retinal ganglion cells reveals density and gene expression specializations.

Samuel A Budoff, Alon Poleg-Polsky

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

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.

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Frontiers in cell and developmental biology · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Samuel A BudoffDepartment of Physiology and Biophysics, University of Colorado Anschutz Medical Center, Aurora, CO 80045.ORCID 0000-0003-2279-9004
Alon Poleg-PolskyDepartment of Physiology and Biophysics, University of Colorado Anschutz Medical Center, Aurora, CO 80045.ORCID 0000-0003-1327-5129

Funding

Mechanisms of direction selectivity in starburst amacrine cellsR01EY030841 · NEI · UNIVERSITY OF COLORADO DENVER · PI POLEG-POLSKY, ALON · 2020 to 2024
$1.9M
Novel experimental and machine learning - assisted techniques to assess receptive field functionality in the retinaR01EY035293 · NEI · UNIVERSITY OF COLORADO DENVER · PI Alon Poleg-Polsky · 2023 to 2026
$1.9M
HHS | NIH | National Eye Institute (NEI) R01EY030841HHS | NIH | National Eye Institute (NEI) R01EY035293
6 · The paper itself

Abstract

Retinal ganglion cells (RGCs) transmit visual information from the eye to the brain. In mice, several RGC types show nonuniform spatial distributions, potentially mediating specific visual functions. However, the full extent of RGC specialization remains unknown. Here, we used en-face cryosectioning, spatial transcriptomics, and machine learning to map the spatial distribution of all RGC types identified in previous single-cell studies. While two-thirds of RGC types were evenly distributed, others showed strong biases toward ventral or dorso-temporal regions associated with sky vision and the area retinae temporalis (ART), the predicted homolog of the area centralis. Additionally, we observed unexpected spatial variation in gene expression within several types along the dorso-ventral axis or within vs. outside the ART, independent of RGC density profiles. Finally, we found limited correlations between the gene profiles of the ART and the primate macula, suggesting divergent specialization between the mouse and primate central vision.

Indexed as

Retinal Ganglion CellsAnimalsGene Expression ProfilingMiceMice, Inbred C57BLRetinaTranscriptomeVision, Ocularmachine learningretinaspatial transcriptomicsvisual neuroscience

Identifiers

PMID41452983
PMCPMC12772174

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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.