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ABSTRACT: Background
To explore new modulatory intervention targets for radiation-induced lung injury, bioinformatics analysis technology was used to search for the core driving genes in the pathogenesis of radiation pneumonitis, and the results were verified by a radiation-induced murine lung injury model to find possible new targets for the treatment of radiation lung injury.Method
Gene Expression Omnibus Database was used to identify differentially expressed genes in radiation pneumonitis. DAVID database was used for gene ontology (GO) and Kyoto Encyclopedia of Genes and Genome (KEGG) enrichment analysis. Gene Set Enrichment Analysis was used to analyze abnormal expressions. Protein-protein interaction networks were constructed using STRING and Cytoscape. Discovery Studio 4.5 soft
SUBMITTER: Zhang G
PROVIDER: S-EPMC11578954 | biostudies-literature | 2024
REPOSITORIES: biostudies-literature