Evidence map›Paper›PMID 42272073›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2026

ScRNA-seq Data Reveal Gene Upregulation and Downregulation in Oxygen-Induced Retinopathy.

Xinhe Wang, Lijie Wang, Yanhong Ju

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 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

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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.

2 · The registry

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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

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5 · Who and what money

Authors and funding

3 authors.

Xinhe WangDepartment of Ophthalmology, The Fourth People's Hospital of Shenyang, Shenyang, Liaoning, China.ORCID 0009-0005-3582-8021
Lijie WangDepartment of Ophthalmology, The Fourth People's Hospital of Shenyang, Shenyang, Liaoning, China.
Yanhong JuOutpatient Department, The Fourth People's Hospital of Shenyang, Shenyang, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Retinopathy of prematurity is characterized by retinal vascular ischemia and hypoxia that lead to neovascularization, potentially causing retinal detachment and blindness. This study aimed to explore target genes involved in oxygen-induced retinopathy (OIR) through comprehensive single-cell RNA sequencing (scRNA-seq) data analysis. MATERIAL AND METHODS ScRNA-seq data of retinal tissues obtained from mice under normoxic and OIR conditions were retrieved from the Gene Expression Omnibus (GEO; accession number GSE150703). A suite of bioinformatics tools was used for data processing, cell clustering, cell type annotation, differential gene expression analysis, gene set enrichment analysis, and protein-protein interaction network prediction to identify key hub genes associated with OIR. RESULTS Analysis of GSE150703 OIR mouse data identified 10 retinal cell types. These findings were supported by pathway enrichment analyses, including Gene Ontology and Kyoto Encyclopedia of Genes and Genomes, which indicated significant upregulation of Hnrnpu, Vamp2, Ybx1, Ywhab, and Csnk1a1, and downregulation of Xist and mt-Co1, among others. Interacting proteins from protein-protein interaction network studies identified major hub genes involving Srsf1, Srsf11, Sf3b1, and Hnrnpu, among others. Moreover, the research explored how mutations of Chchd10 and Sf3b1 influence the development of the disease and downregulation of mitochondrial-associated genes, such as lncRNA-Xist, Ndufs5, and mt-Co1, which may provide further insight into their roles in the pathogenesis of OIR. CONCLUSIONS The single-cell data analysis suggests that Hnrnpu, Vamp2, Ybx1, Ywhab, Csnk1a1, Pfkp, Rho, Srsf1, Srsf11, Mt1, Tpr, Hnrnpc, Chchd10, Sf3b1, Xist, Ndufs5, and mt-Co1 may be potential target genes in OIR in retinopathy of prematurity.

Indexed as

OxygenRetinopathy of PrematurityAnimalsComputational BiologyDown-RegulationGene Expression ProfilingMiceProtein Interaction MapsRetinaRNA-SeqSequence Analysis, RNASingle-Cell Gene Expression AnalysisUp-RegulationOxygen

Identifiers

PMID42272073
PMCPMC13270882

What Socratic holds

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LicenceCC BY-NC-ND
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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.