biostudies-literatureChen WZhenjiang First People's Hospital ProjectSongjiang District Science and Technology Research ProjectZhenjiang First People’s Hospital Project3444https://www.ebi.ac.uk/biostudies/studies/S-EPMC11772853biostudies-literatureUnknown15(1)Crohn's disease (CD) is a chronic inflammatory bowel disease with an unknown etiology. Ubiquitination plays a significant role in the pathogenesis of CD. This study aimed to explore the functional roles of ubiquitination-related genes in CD. Differentially expressed ubiquitination-related genes were identified by intersecting differentially expressed genes (DEGs) from the GSE95095 dataset in the Gene Expression Omnibus (GEO) database with a set of ubiquitination-related genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed. Key genes were selected by combining hub genes from the protein-protein interaction (PPI) network with feature genes identified by Lasso and Random Forest (RF) algorithms. Additionally, the correlation between key genes andScientific reportsIdentification of ubiquitination-related key biomarkers and immune infiltration in Crohn's disease by bioinformatics analysis and machine learning.PMC1177285322SJKJGG72YQ2023005Huang ZChen WFeng WSun HXu ZfalseIdentification of ubiquitination-related key biomarkers and immune infiltration in Crohn's disease by bioinformatics analysis and machine learning.Crohn's disease (CD) is a chronic inflammatory bowel disease with an unknown etiology. Ubiquitination plays a significant role in the pathogenesis of CD. This study aimed to explore the functional roles of ubiquitination-related genes in CD. Differentially expressed ubiquitination-related genes were identified by intersecting differentially expressed genes (DEGs) from the GSE95095 dataset in the Gene Expression Omnibus (GEO) database with a set of ubiquitination-related genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed. Key genes were selected by combining hub genes from the protein-protein interaction (PPI) network with feature genes identified by Lasso and Random Forest (RF) algorithms. Additionally, the correlation between key genes and2025-01-01T00:00:00Z2025 Jan2025-04-18T16:49:33.278Z2025-04-07T04:18:12.142ZS-EPMC117728533987085610.1038/s41598-025-88148-4