Identification of hub genes for glaucoma: a study based on bioinformatics analysis and experimental verification

AIM: To explore hub genes for glaucoma based on bioinformatics analysis and an experimental model verification. METHODS: In the Gene Expression Omnibus (GEO) database, GSE25812 GSE26299 datasets were selected to analyze differentially expressed (DEGs) by GEO2R tool. Through analysis, 9 identified. Receiver operating characteristic (ROC) curves principal component (PCA) performed verify whether gene can distinguish from normal eyes. The mouse of was constructed, real-time reverse transcriptase-polymerase chain reaction (RT-qPCR) assay detect expression levels in glaucoma. RESULTS: There 128 overlapping DEGs datasets, mainly involved intracellular signalling, cell adhesion molecules Ras signalling pathway. A total screened out, including GNAL, BGN, ETS2, FCGP4, MAPK10, MMP15, STAT1, TSPAN8, VCAM1. area under curve (AUC) values greater than 0.8. PC1 axle could provide a 70.5% interpretation rate ocular tissues mice model, FCGR4, VCAM1 increased, while MMP15 decreased. CONCLUSION: Nine are identified, which may new biomarkers therapeutic targets