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Experiment: High-dimensional single-cell analysis reveals the immune characteristics of COVID-19
ID: FR-FCM-Z2RC
Primary Researcher: Wenru Su
MIFlowCyt Score: 16.50%

Experiment Overview

Repository ID:	FR-FCM-Z2RC	Experiment name:	High-dimensional single-cell analysis reveals the immune characteristics of COVID-19	MIFlowCyt score:	16.50%
Primary researcher:	Wenru Su	PI/manager:	Wenru Su	Uploaded by:	Wenru Su
Experiment dates:	2020-07-15 - 2020-07-31	Dataset uploaded:	Jul 2020	Last updated:	Dec 2020
Keywords:	None		Manuscripts:
Organizations:	None
Purpose:	In this study, we explored the characteristic peripheral cellular profiles of patients with COVID-19 in the acute and convalescent phases by single-cell mass cytometry (CyTOF).
Conclusion:	None
Comments:	None
Funding:	Not disclosed
Quality control:	None

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The following open access article describes how to upload and annotate flow cytometry data sets: Spidlen J, Breuer K and Brinkman R. Preparing a Minimum Information about a Flow Cytometry Experiment (MIFlowCyt) Compliant Manuscript Using the International Society for Advancement of Cytometry (ISAC) FCS File Repository (FlowRepository.org). Current Protocols in Cytometry, UNIT 10.18, July 2012.
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You may download slides from our Workshop at CYTO 2012: Publishing MIFlowCyt Compliant Data to ISAC’s FlowRepository.org for Cytometry A and Other Journals
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Citing FlowRepository

Please reference us by citing:

Spidlen J, Breuer K, Rosenberg C, Kotecha N and Brinkman RR. FlowRepository - A Resource of Annotated Flow Cytometry Datasets Associated with Peer-reviewed Publications. Cytometry A. 2012 Sep; 81(9):727-31..

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