Evidence map›Paper›PMID 41010033›Full record

ReviewGenes2025

Single-Cell Transcriptomics in Inherited Retinal Dystrophies: Current Findings and Emerging Perspectives.

Linda Nguyen, Catalina A Vallejos, Pleasantine Mill, Roly Megaw

Abstract readReview
In one paragraph

Review in Genes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

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.

Linda NguyenMRC Human Genetics Unit, Institute of Genetics and Cancer, The University of Edinburgh, Crewe Road South, Edinburgh EH4 2XU, UK.ORCID 0009-0003-2165-7132
Catalina A VallejosMRC Human Genetics Unit, Institute of Genetics and Cancer, The University of Edinburgh, Crewe Road South, Edinburgh EH4 2XU, UK.ORCID 0000-0003-3638-1960
Pleasantine MillMRC Human Genetics Unit, Institute of Genetics and Cancer, The University of Edinburgh, Crewe Road South, Edinburgh EH4 2XU, UK.ORCID 0000-0001-5218-134X
Roly MegawMRC Human Genetics Unit, Institute of Genetics and Cancer, The University of Edinburgh, Crewe Road South, Edinburgh EH4 2XU, UK.ORCID 0000-0001-5605-4540

Funding

European Research Council n°866355Medical Research Council MC/PC/21044Medical Research Council MR/N013166/1Medical Research Council MR/Y015002/1Wellcome TrustWellcome Trust 219607/Z/19/Z
6 · The paper itself

Abstract

Inherited retinal dystrophies (IRDs) represent a diverse group of disorders caused by mutations in genes essential for retinal function and maintenance. Traditional bulk RNA sequencing techniques provide valuable information for deciphering disease pathogenesis but lack the resolution to capture variation among specific cell clusters during disease progression. In contrast, single-cell transcriptomics, including single-cell RNA sequencing (scRNA-seq), enables detailed examination of distinct retinal clusters in both healthy and diseased states, uncovering unique gene expression signatures and early molecular changes preceding photoreceptor cell death in IRDs. These insights not only deepen our understanding of the complex pathogenesis of IRDs but also highlight potential targets for novel therapeutic interventions. In this review, we examine the recent literature on the application of single-cell transcriptomics in IRDs to explore how these techniques enhance our understanding of disease mechanisms and contribute to the identification of new therapeutic targets.

Indexed as

Retinal DystrophiesSingle-Cell AnalysisTranscriptomeAnimalsGene Expression ProfilingHumansMutationachromatopsiaenhanced S-cone syndromeinherited retinal diseaseLeber congenital amaurosisphotoreceptorretinal degenerationretinitis pigmentosasingle-cellStargardt diseasetranscriptomics

Identifiers

PMID41010033
PMCPMC12470181

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.