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

ABSTRACT:

Aim

To explore hub genes for glaucoma based on bioinformatics analysis and an experimental model verification.

Methods

In 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.

Results

There were 128 overlapping DEGs in the GSE25812 and

SUBMITTER: Xie RL 

PROVIDER: S-EPMC10333239 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature