five

Differentially expressed genes related to inflammatory disease on nasal cavity induced by diesel exhaust particles (DEPs)

收藏
NIAID Data Ecosystem2026-03-12 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE102304
下载链接
链接失效反馈
官方服务:
资源简介:
Recently air pollution has become serious environmental issues effect. Contaminated air by pollutants, such as emission of diesel fuel, enter the human body through airway tract and can cause inflammatory diseases in respiratory system. The relation between air pollutant and development of respiratory diseases have well-studied, but the processes of disease outbreak were not fully studied yet. We investigated global gene expression induced by diesel exhaust particle (DEP), one of air pollutants in primary human nasal epithelial cell (PHNEC) with the purpose of identifying potential biomarkers. Furthermore, we analyzed signaling pathway among differentially expressed genes (DEGs) for elucidating signaling networks of process developing airway diseases. Consequentially, we suggested several key biomarkers that include not only the expression changes but also the meaning of relation between genes. This findings might be used for early diagnosis and prevention of upper respiratory disease, especially rhinitis. Two-dose of DEP treated PHNEC. Biological replicates: 4

近年来,空气污染已成为日益严峻的环境问题。受柴油燃料排放物等污染物污染的空气可通过呼吸道进入人体,进而引发呼吸系统炎症性疾病。目前,空气污染与呼吸系统疾病发生发展的关联已得到充分研究,但疾病暴发的具体病理过程尚未被完全阐明。本研究以空气污染物之一的柴油机排气颗粒(diesel exhaust particle, DEP)处理原代人鼻上皮细胞(primary human nasal epithelial cell, PHNEC),对其诱导的全基因组基因表达谱进行分析,旨在筛选潜在的生物标志物。此外,本研究还对差异表达基因(differentially expressed genes, DEGs)的信号通路进行分析,以阐明气道疾病发生过程中的信号调控网络。综上,本研究筛选出多个关键生物标志物,这些标志物不仅能够反映基因表达水平的变化,还可揭示基因间的关联意义。本研究结果可用于上呼吸道疾病(尤其是鼻炎)的早期诊断与预防。实验采用双剂量DEP处理PHNEC,生物学重复次数为4次。
创建时间:
2021-07-25
二维码
社区交流群
二维码
科研交流群
商业服务