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Dataset Information

Bioinformatics analysis and verification of key candidate genes influencing the pathogenesis of chronic rhinosinusitis with nasal polyps.


ABSTRACT:

Objectives

Chronic rhinosinusitis (CRS) with nasal polyps (CRSwNP) is a prominent public health issue. Furthermore, the prognosis of eosinophilic CRSwNP is poor, with a high recurrence rate. The underlying molecular mechanisms of eosinophilic CRSwNP remain unclear. Therefore, in this study, we sought to determine the crucial genes underlying eosinophil infiltration in eosinophilic CRSwNP pathogenesis.

Methods

We used the Gene Expression Omnibus database (GEO) (GSE36830 and GSE23552 datasets) to mine gene expression profiles of CRSwNP patients and normal subjects. Differentially expressed genes (DEGs) between normal and CRSwNP tissues were identified and subjected to the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) enrichment analyses. Co-expression n

SUBMITTER: Chen G 

PROVIDER: S-EPMC10006810 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature