Bioinformatics analysis of genes related to iron death in diabetic nephropathy through network and pathway levels based approaches.
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ABSTRACT: Diabetic nephropathy is one of the common microvascular complications of diabetes. Iron death is a recently reported way of cell death. To explore the effects of iron death on diabetic nephropathy, iron death score of diabetic nephropathy was analyzed based on the network and pathway levels. Furthermore, markers related to iron death were screened. Using RNA-seq data of diabetic nephropathy, samples were clustered uniformly and the disease was classified. Differentially expressed gene analysis was conducted on the typed disease samples, and the WGCNA algorithm was used to obtain key modules. String database was used to perform protein interaction analysis on key module genes for the selection of Hub genes. Moreover, principal component analysis method was applied to get transcription facto
SUBMITTER: Hu Y
PROVIDER: S-EPMC8568295 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature
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