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Dataset Information

Screening and validation of differentially expressed genes in polymyositis.


ABSTRACT:

Background

Polymyositis (PM), a prevalent inflammatory myopathy, currently lacks defined pathogenic mechanism. To illuminate its pathogenesis, we integrated bioinformatics and clinical specimens to examine potential aberrant gene expression patterns and their localization.

Methods

We obtained GSE128470 and GSE3112 dataset from the Gene Expression Omnibus, performed Gene Set Enrichment Analysis (GSEA) and immune infiltration analysis using CiberSort, identified differentially expressed genes with Limma, conducted functional annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, constructed a Protein-Protein Interaction network, and identified hub genes using Cytoscape. ROC analysis evaluated hub gene diagnostic accuracy for PM, validated th

SUBMITTER: Qin L 

PROVIDER: S-EPMC10839795 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature