five

CyTOF immune profiling of Zika virus infection - clustered data

收藏
NIAID Data Ecosystem2026-03-11 收录
下载链接:
http://flowrepository.org/id/FR-FCM-Z2HQ
下载链接
链接失效反馈
官方服务:
资源简介:
Here, we collected samples from 46 DENV-naïve and 43 DENV-immune patients with confirmed ZIKV infection at acute, and convalescent timepoints from our pediatric cohort study in Nicaragua. Paired acute and convalescent samples were barcoded and analyzed by CyTOF. Conclusion: Immunophenotyping revealed that CD14+ monocytes play a key role during ZIKV infection. We identified CD169 (Siglec-1) on CD14+ monocytes as a potential biomarker of acute ZIKV infection. Interestingly, pre-existing dengue immunity had minimal impact on the innate immune response to Zika. This study is the most comprehensive immune profiling and network analysis of ZIKV infection in children to date Notes: The FCS files have been clustered using Astrolabe Diagnostics platforms and the single cell cluster IDs have been embedded in the FCS files under the channel heading Compartment, Assignment and Profiling. Keys are attached to the experiment mapping the respective cluster IDs to their corresponding population names. Paired timepoint samples were barcoded and pooled to minimize potential technical variability. All samples were spiked with EQ 4 element beads (Fluidigm) prior to acquisition and normalized prior to analysis.
创建时间:
2020-06-01
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