A 31-Parameter Panel for Comprehensive Immunophenotyping of Multiple Immune Cells in Human PBMCs
MIFlowCyt score:
27.75%
Primary researcher:
Takuto Nogimori
PI/manager:
Takuya Yamamoto
Uploaded by:
Takuto Nogimori
Experiment dates:
2019-11-01 -
Dataset uploaded:
Aug 2020
Last updated:
Jul 2021
Keywords:
[multicolor flow cytometry]
[t-SNE]
[FlowSOM]
[aging]
[high-dimensional data analysis]
Manuscripts:
Organizations:
National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, (Japan)
Purpose:
The purpose of this work is to design a 29-color flow cytometry panel to capture the effects of aging on immune signature in human peripheral blood mononuclear cells (PBMCs).
Conclusion:
The panel designed in our study was an effective tool for analyzing age-related changes in each cell subset. We hypothesized that by comprehensively measuring immune cells, it would be possible to evaluate the interactions between each cell population and the differences in the timing of age-related changes. Our findings supported our hypothesis by demonstrating that it was possible to capture the immune status of individuals and to use high-dimensional analysis not only to understand specific cell populations but also to observe the whole picture of immune dynamics.
Comments:
None
Funding:
Not disclosed
Quality control:
All antibodies were titrated to optimize the concentration of antibodies.
Quality control of the BD FACSymphony flow cytometer was regularly performed using BD CS&T beads.
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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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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..