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Gene expression analysis of Chronic rhinosinusitis

ABSTRACT: Chronic rhinosinusitis (CRS) is a heterogeneous disease characterized by local inflammation of the upper airways which persists for at least 12 weeks. CRS is one of the most common chronic diseases in adults in the United States, affecting over 30 million Americans. CRS is frequently divided into 2 types: CRS with nasal polyps (CRSwNP) and CRS without nasal polyps (CRSsNP). Histologic studies have demonstrated significant tissue eosinophilia in CRSwNP. T cells in the mucosa are elevated in both forms of CRS and are skewed towards Th2 cytokine expression in CRSwNP. However pathogenic role of CRS has not been fully explored. To screen for pathogenic factors in CRS, we performed a microarray study. We collected uncinate tissues (UT) from 6 subjects with CRSsNP, 6 subjects with CRSwNP and 6 control subjects and nasal polyp (NP) tissues from 6 subjects with CRSwNP and then evaluated gene expression profiles using Affymetrix Human Genome U133 plus 2.0 array.

ORGANISM(S): Homo sapiens

PROVIDER: GSE36830 | GEO | 2012/03/28

SECONDARY ACCESSION(S): PRJNA156983

REPOSITORIES: GEO

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Gene expression analysis of Chronic rhinosinusitis

Project description:Chronic rhinosinusitis (CRS) is a heterogeneous disease characterized by local inflammation of the upper airways which persists for at least 12 weeks. CRS is one of the most common chronic diseases in adults in the United States, affecting over 30 million Americans. CRS is frequently divided into 2 types: CRS with nasal polyps (CRSwNP) and CRS without nasal polyps (CRSsNP). Histologic studies have demonstrated significant tissue eosinophilia in CRSwNP. T cells in the mucosa are elevated in both forms of CRS and are skewed towards Th2 cytokine expression in CRSwNP. However pathogenic role of CRS has not been fully explored. To screen for pathogenic factors in CRS, we performed a microarray study. We collected uncinate tissues (UT) from 6 subjects with CRSsNP, 6 subjects with CRSwNP and 6 control subjects and nasal polyp (NP) tissues from 6 subjects with CRSwNP and then evaluated gene expression profiles using Affymetrix Human Genome U133 plus 2.0 array. We collected UT from control subjects and pathients with CRSsNP and CRSwNP, and nasal polyp tissues from patients with CRSwNP. Gene expression profiles were evaluated using Human Genome U133 plus 2.0 array (Affymetrix).

2012-03-27 | E-GEOD-36830 | biostudies-arrayexpress

Tissue Eosinophilia is Effective for Studying Differential Expression of Genes by RNA sequencing, and may offer Superior Insights into Chronic Rhinosinusitis than Study by Polyp Status

Project description:RNA sequencing (RNAseq) is being used to study inflammatory pathways in chronic rhinosinusitis (CRS). Our goal was to probe validity of tissue eosinophilia as a metric to study RNAseq in CRS. The study was conducted on prospectively enrolled subjects undergoing sinonasal surgery. Subjects were categorized as control, CRS, CRS with nasal polyps (CRSwNP) and CRS without nasal polyps (CRSsNP). CRS was also categorized by tissue eosinophil levels per high power field (EOS/HPF) as <10 EOS/HPF or ≥10 EOS/HPF. Ethmoidal tissue samples were processed, differentially expressed (DE) genes were calculated and Ingenuity pathway analysis (IPA) performed.Controls separated clearly from CRS by both study criteria (polyp status, EOS/HPF). In both analyses, CRS differentiated into two distinct CRS subgroups. However, heatmaps showed greater homogeneity within each CRS subtype when studied by eosinophilia versus polyp status. Overall, high differential gene expression was found in CRS versus controls, with 736 statistically significant differentially expressed (DE) genes. On comparison between between CRSwNP and CRSsNP, 60 DE genes were found and on analyzing by tissue EOS/HPF, 110DE genes were statistically significant between CRS <10 EOS/HPF and CRS ≥10 EOS/HPF analyses. Tissue eosinophilia as a metric was further validated by finding of IL 17 signalling pathway between <10EOS/HPF (increased) versus ≥10 EOS/HPF samples on pathway analysis. As a metric, tissue eosinophilia is at least as effective as analysis by polyp status for RNA sequencing and may potentially offer superior insights into mechanistic pathways.

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