five

Data from Simoni et al Immunity 2017

收藏
NIAID Data Ecosystem2026-03-10 收录
下载链接:
http://flowrepository.org/id/FR-FCM-ZYZX
下载链接
链接失效反馈
官方服务:
资源简介:
Animal models have highlighted the importance of innate lymphoid cells (ILCs) in multiple immune responses. However, technical limitations have hampered adequate characterization of ILCs in humans. Here, we used mass cytometry including a broad range of surface markers and transcription factors to accurately identify and profile ILCs across healthy and inflamed tissue types. High dimensional analysis allowed for clear phenotypic delineation of ILC2 and ILC3 subsets. We were not able to detect ILC1 cells in any of the tissues assessed, however, we identified intra-epithelial (ie)ILC1-like cells that represent a broader category of NK cells in mucosal and non-mucosal pathological tissues. In addition, we have revealed the expression of phenotypic molecules that have not been previously described for ILCs. Our analysis shows that human ILCs are highly heterogeneous cell types between individuals and tissues. It also provides a global, comprehensive, and detailed description of ILC heterogeneity in humans across patients and tissues. Notes: IMPORTANT: All files come from CyTOF experiment. Some of the FCS files are "raw", they contain debris, dead cells, CD45- cells. We attached a flowjo10 (mac) workspace with gating strategy which can be use to remove debris, dead cells, etc. Data acquired using CyTOF1 and CyTOF2. Human samples only. Refer to Simoni et al, Immunity 2017 (doi: 10.1016/j.immuni.2016.11.005)
创建时间:
2017-01-01
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