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ABSTRACT: Objective
An analysis of the relationship between rheumatoid arthritis (RA) and copper death-related genes (CRG) was explored based on the GEO dataset.Methods
Based on the differential gene expression profiles in the GSE93272 dataset, their relationship to CRG and immune signature were analysed. Using 232 RA samples, molecular clusters with CRG were delineated and analysed for expression and immune infiltration. Genes specific to the CRGcluster were identified by the WGCNA algorithm. Four machine learning models were then built and validated after selecting the optimal model to obtain the significant predicted genes, and validated by constructing RA rat models.Results
The location of the 13 CRGs on the chromosome was determined and, except for GCSH. LIPT1, FDX1, DLD
SUBMITTER: Zhou Y
PROVIDER: S-EPMC9986609 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature