Experiment Overview
| Repository ID: | FR-FCM-Z2HQ | Experiment name: | CyTOF immune profiling of Zika virus infection - clustered data | MIFlowCyt score: | 51.50% |
| Primary researcher: | Adeeb Rahman | PI/manager: | Adeeb Rahman | Uploaded by: | Adeeb Rahman |
| Experiment dates: | 2017-02-22 - 2017-06-07 | Dataset uploaded: | Mar 2020 | Last updated: | Jun 2020 |
| Keywords: | [Immunophenotyping] [CyTOF] [Zika] | Manuscripts: | |||
| Organizations: |
Icahn School of Medicine at Mount Sinai , New York, NY (United States of America)
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| Purpose: | 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 | ||||
| Comments: | 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. | ||||
| Funding: | This work was supported by NIAID/NIH grant U19AI118610 | ||||
| Quality control: | 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. | ||||
