遇见数据集

Expression data from epithelial cells of nasal mucosa

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NIAID Data Ecosystem2026-03-12 收录
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As the first defense line to contact respiratory allergens, epithelial cells play an extremely critical role in the occurrence of allergic rhinitis, and the mechanism is realized by the regulation of the expression of co-expressed mRNA which is controlled by lncRNA. We used microarrays to screen gene expression profiles in nasal mucosal epithelial cells of allergic rhinitis, and predicted the relationship between lncRNA and mRNA by bioinformatics analysis. Patients who need the operation of nasal septal correction were selected, part of the inferior turbinate mucosa was taken as experimental samples during the operation. According to the diagnosis guidelines of allergic rhinitis, the samples were divided into AR group and non-AR group, and 3 samples were selected for microarray analysis in each group.Then we analyzed the function of differentially expressed genes.

上皮细胞作为接触呼吸道过敏原的第一道防线,在变应性鼻炎的发生发展中发挥极为关键的作用,其调控机制由长链非编码RNA(lncRNA)介导,通过调控共表达信使RNA(mRNA)的表达得以实现。本研究采用微阵列(microarray)技术筛选变应性鼻炎患者鼻黏膜上皮细胞的基因表达谱,并通过生物信息学分析预测lncRNA与mRNA之间的调控关系。本研究纳入需行鼻中隔矫正术的患者,术中采集部分下鼻甲黏膜作为实验样本。依据变应性鼻炎诊断指南,将样本分为变应性鼻炎组(AR组)与非变应性鼻炎组,每组各选取3份样本进行微阵列分析。随后对差异表达基因的功能进行分析。

创建时间:
2020-10-22
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数据集介绍
Expression data from epithelial cells of nasal mucosa 数据集图片
背景与挑战
背景概述
该数据集为'Expression data from epithelial cells of nasal mucosa',专注于研究人类鼻黏膜上皮细胞在过敏性鼻炎中的基因表达谱。通过微阵列技术筛选AR组和非AR组样本的基因表达差异,并利用生物信息学分析预测lncRNA与mRNA的调控关系,旨在揭示过敏性鼻炎的发病机制。数据集包含6个样本(每组3个重复),使用Affymetrix平台,数据公开于2020年10月13日,由同济大学附属东方医院的研究团队贡献。
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