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ABSTRACT: Background
The aim of this study was to use bioinformatics approaches to screen and identify the key genes of idiopathic calcium oxalate nephrolithiasis, and explore its potential molecular mechanism.Methods
The GSE73680 kidney stone data set was downloaded from the Gene Expression Omnibus (GEO). R software (The R Foundation for Statistical Computing) was used to screen differentially expressed genes. GeneMANIA and Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) databases were used to analyze related genes interacting with crucial genes, and a protein-protein interaction (PPI) network was constructed. The differential genes were then subjected to the Gene Ontology (GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pa
SUBMITTER: Chen X
PROVIDER: S-EPMC10323449 | biostudies-literature | 2023 Jun
REPOSITORIES: biostudies-literature