Experiment Overview
| Repository ID: | FR-FCM-Z2XC | Experiment name: | Demonstration of a whole blood CyTOF staining workflow to characterize COVID-19 patients | MIFlowCyt score: | 64.25% |
| Primary researcher: | Adeeb Rahman | PI/manager: | Adeeb Rahman | Uploaded by: | Adeeb Rahman |
| Experiment dates: | 2020-04-01 - | Dataset uploaded: | Jun 2020 | Last updated: | Jul 2020 |
| Keywords: | [mass cytometry] [CyTOF] [human whole blood immunophenotyping] [COVID-19] | Manuscripts: | |||
| Organizations: |
Icahn School of Medicine at Mount Sinai , New York, NY (United States of America)
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| Purpose: | Proof-of-principle demonstration of a whole blood staining workflow using the Fluidigm MaxPar Direct Immune Profiling Assay and SmartTube stabilization to characterize immune responses in hospitalized COVID-19 patients | ||||
| Conclusion: | The assay reliably identifies differences in the frequency and phenotype of several immune cell types in hospitalized COVID-19 patients relative to healthy controls | ||||
| Comments: | See attachment for sample annotations. FCS files have been clustered using the Astrolabe Diagnostics platform and hierarchical single cell cluster assignments are embedded in the FCS file under the Compartment, Assignment and Profiling channels. See attached key for mapping of cluster to named subsets. | ||||
| Funding: | NIH U19AI118610, U24AI118644, U24CA224319 | ||||
| Quality control: | Samples were acquired and normalized using Fluidigm EQ normalization beads | ||||
Experiment variables
| Sample Type | |
|---|---|
| · COVID-19 | COVID_03.fcs · COVID_04.fcs · COVID_05.fcs · COVID_07.fcs · COVID_12.fcs · COVID_13.fcs · COVID_15.fcs · COVID_17.fcs · COVID_48.fcs · COVID_57.fcs · COVID_61.fcs · COVID_65.fcs · COVID_68.fcs · COVID_76.fcs |
| · Healthy_Ctrl | Healthy_Ctrl_1.fcs · Healthy_Ctrl_2.fcs · Healthy_Ctrl_3.fcs · Healthy_Ctrl_4.fcs · Healthy_Ctrl_5.fcs · Healthy_Ctrl_6.fcs · Healthy_Ctrl_7.fcs |
