five

Microarray gene expression data from sorted lung epithelial cells during heterotypic immunity

收藏
NIAID Data Ecosystem2026-03-11 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE128897
下载链接
链接失效反馈
官方服务:
资源简介:
Previous pneumococcal experience establishes lung-resident IL-17A-producing CD4+ memory TRM cells that accelerate neutrophil recruitment against heterotypic pneumococci. Herein, we unravel a novel crosstalk between CD4+ TRM cells and lung epithelial cells underlying this protective immunity. Genome-wide expression analyses of lung epithelial cells in CD4+ cell sufficient and CD4+ cell deficient heterotypic immune murine lungs revealed a significant remodeling of the epithelial transcriptome of infected lungs due to infection history, ~80% of which was CD4+ cell-dependent. To achieve a more comprehensive view of epithelial remodeling, and to identify the extent to which this event is CD4+ T cell-dependent, we performed transcriptomic analyses on sorted CD45-EpCAM+ cells from lungs of heterotypic immune or naïve mice treated with GK1.5 (Het GK1.5) or control IgG (Saline IgG or Het IgG). All mice had 7 hours of Sp3 pneumonia in these analyses. We aimed to determine whether prior experience with unrelated serotypes altered the epithelial transcriptome during pneumonia, and if this depended on CD4+ T cells.
创建时间:
2020-03-18
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作