Gene transcriptome analysis of nasal epithelial cells in chronic rhinosinusitis with nasal polyps

xlomafota13 shared this article with you from Inoreader Gene transcriptome analysis of nasal epithelial cells in chronic rhinosinusitis with nasal polyps Via Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi. 2021 Oct 7;56(10):1066-1072. doi: 10.3760/cma.j.cn115330-20210422-00219. ABSTRACT Objective: To identify the differentially expressed genes in nasal epithelial cells from chronic rhinosinusitis with nasal polyps (CRSwNP), and to analyze related genes which are involved in deficiency of nasal epithelial barrier in CRSwNP patients by analyzing the datasets download from the gene expression omnibus(GEO) database. Methods: The mRNA expression microarray data numbered GSE107624 (7 CRSwNP and 7 controls) and GSE69093 (13 CRSwNP and 11 controls) were downloaded from the publicly available GEO database. These two datasets were jointly analyzed to screen the differentially expressed genes in nasal epithelial cells of controls and CRSwNP patients. In the meanwhile, we further evaluated the function annotation and regulatory pathways of the differentially expressed genes. To further con firmed what we have observed, sinus tissues were collected from patients with CRSwNP (14 cases, 46.8±17.9 years) and uncinate process tissues were collected from patients with nasal septum deviation (7 cases, 23.4±2.3 years) as control group. The primary epithelial cells of nasal mucosa were cultured and the mRNA level of screened genes were measured by Q-PCR. SPSS 22.0 software was used to for statistical analysis. Results: GSE107624 dataset showed that there were 3 856 differentially genes in nasal epithelial cells between CRSwNP and control group, while there were 771 differentially expressed genes in GSE69093 dataset. Finally, 55 up-regulated genes and 3 down-regulated genes were noticed in nasal epithelial cells of CRSwNP patients in the two datasets. GO gene functional annotation analysis showed that SPTBN1, FNBP1L, VAPB and SNX1 were involved in cell adhesion function, MAP1B was participated in the formation of microtubule related c omplex. KEGG pathway enrichment analysis indicated that BAMBI and SIAH1 were involved in regulation of Wnt pathway, COL6A1 and EIF4E were involved in the regulation of PI3K-AKT pathway. String protein interaction network analysis assumed that MAP1B and VAPB were the core functional proteins. Among top 3 differentially expressed genes COL6A1, MAP1B and BAMBI, only MAP1B gene was increased in nasal epithelial cells of CRSwNP patients in comparison to controls. Conclusion: The increased MAP1B gene in epithelial cells of CRSwNP, as well as abnormal regulation of Wnt and PI3K-AKT signal pathways may mediate the barrier dysfunction in CRSwNP. PMID:34666467 | DOI: 10.3760/cma.j.cn115330-20210422-00219 View on the web Inoreader. Take back control of your news feed. Follow us on Twitter and Facebook.