ArticleInternational journal of ophthalmology2023
Identification of hub genes for glaucoma: a study based on bioinformatics analysis and experimental verification.
Article in International journal of ophthalmology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed, 4 citations in OpenAlex.
- Association of FunctionalInternational journal of molecular sciences · 2026Article
- Multi-genomics data mining identified critical transcription factors and immune response pathways in traumatic optic nerve injury and retinal injury.Frontiers in ophthalmology · 2026Article
- Article
- DAMPs Drive Fibroinflammatory Changes in the Glaucomatous ONH.Investigative ophthalmology & visual science · 2024Article
- Review
- NMI, POLR3G and APIP are the key molecules connecting glaucoma with high intraocular pressure: a clue for early diagnostic biomarker candidates.International journal of ophthalmology · 2024Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo explore hub genes for glaucoma based on bioinformatics analysis and an experimental model verification.
methodsIn the Gene Expression Omnibus (GEO) database, the GSE25812 and GSE26299 datasets were selected to analyze differentially expressed genes (DEGs) by the GEO2R tool. Through bioinformatics analysis, 9 hub genes were identified. Receiver operating characteristic (ROC) curves and principal component analysis (PCA) were performed to verify whether the hub gene can distinguish glaucoma from normal eyes. The mouse model of glaucoma was constructed, and the real-time reverse transcriptase-polymerase chain reaction (RT-qPCR) assay was performed to detect the expression levels of hub genes in glaucoma.
resultsThere were 128 overlapping DEGs in the GSE25812 and GSE26299 datasets, mainly involved in intracellular signalling, cell adhesion molecules and the Ras signalling pathway. A total of 9 hub genes were screened out, including GNAL, BGN, ETS2, FCGP4, MAPK10, MMP15, STAT1, TSPAN8, and VCAM1. The area under the curve (AUC) values of 9 hub genes were greater than 0.8. The PC1 axle could provide a 70.5% interpretation rate to distinguish glaucoma from normal eyes. In the ocular tissues of glaucoma in the mice model, the expression of BGN, ETS2, FCGR4, STAT1, TSPAN8, and VCAM1 was increased, while the expression of GNAL, MAPK10, and MMP15 was decreased.
conclusionNine hub genes in glaucoma are identified, which may provide new biomarkers and therapeutic targets for glaucoma.
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