Analysis of immune related target genes in oxygen induced mouse retinal neovascularization model based on gene co-expression network
10.3980/j.issn.1672-5123.2024.6.04
- VernacularTitle:基于基因共表达网络分析氧诱导小鼠视网膜新生血管模型免疫相关靶基因
- Author:
Linhui YUAN
1
;
Xin LIU
1
Author Information
1. Department of Ophthalmology,Dalian No.3 People's Hospital, Dalian 116033, Liaoning Province, China
- Publication Type:Journal Article
- Keywords:
oxygen-induced retinal neovascularization;
bioinformatics;
immune infiltration;
protein-protein interaction network;
differential genes;
immune cells;
mice
- From:
International Eye Science
2024;24(6):857-863
- CountryChina
- Language:Chinese
-
Abstract:
AIM: To identify immune-related key genes and the extent of immune cell infiltration in a oxygen-induced retinopathy(OIR)model by bioinformatics method.METHODS: Microarray data were obtained from the GEO database, differentially expressed genes(DEGs)were identified using the “limma” R package, GO function enrichment and KEGG pathway analysis were conducted, and immune cell infiltration based on the CIBERSORT algorithm was analyzed. Weighted gene co-expression network analysis(WGCNA)was used to screen DEGs in the immune-related gene module, constructing a protein-protein interaction(PPI)network using STRING online database and Cytoscape software, and further screening final target genes using the cytoHubba plug-in.RESULTS: A total of 467 DEGs were screened, including 270 up-regulated and 197 down-regulated genes. Helper T cell 2(Th2 cells), an immune cell type, exhibited significantly high expression levels(P<0.05). WGCNA analysis identified 66 differential genes in modules most closely related to immunity. After constructing the PPI network, 5 key genes were screened through plug-ins: von Willebrand factor(vWF), vascular endothelial growth factor A(VEGF-A), Serping1, apoptosis inducing factor 1(AIF1)and signal transducers and activators of transcription 3(STAT3).CONCLUSION: The findings of this study provide valuable insights into immune cell infiltration in OIR as well as key genes related to immunity through bioinformatics analysis, which can serve as a reference for further research and treatment of retinal neovascular diseases.
