five

Nutrient-derived signals regulate eosinophil adaptation to the small intestine

收藏
NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://www.ncbi.nlm.nih.gov/sra/SRP446534
下载链接
链接失效反馈
官方服务:
资源简介:
Eosinophils are commonly regarded as effector cells of type 2 immunity, yet they also accumulate in certain tissues during homeostasis - particularly in the gastrointestinal tract. Our understanding of the processes that govern homeostatic eosinophil accumulation and tissue-specific adaptation, and their functional significance, remains very limited. Here, we investigated how eosinophils adapt to the small intestine microenvironment and the local signals that regulate this process. We observed that eosinophils gradually migrate up the crypt-villus axis, giving rise to a villus-resident subpopulation with a distinct transcriptional signature. Genetic deficiency of eosinophils resulted in a reduction of villus area, as well as a reduction of multiple other immune cell populations, demonstrating their diverse functions in this environment. We determined that retinoic acid receptor signaling is specifically required for the maintenance of villus-resident eosinophils, while IL-5 is largely dispensable outside of its canonical role in eosinophil production. In addition, we unexpectedly found that high protein diet suppresses the accumulation of villus-resident eosinophils. Purified amino acids were sufficient for this effect, which was a consequence of accelerated eosinophil turnover within the tissue microenvironment and not due to altered development in the bone marrow. Our study provides new insight into the process of eosinophil adaptation to the small intestine and its dependence on nutrient-derived signals. Overall design: Small intestine eosinophil populations (a4b7+, a4b7- CD22-, and CD22+) from wild type female B6 mice were isolated by FACS and their transcriptomes were analyzed by RNA-Seq (4 biological replicates per condition)
创建时间:
2024-02-17
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