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50-color phenotyping of the human immune system with in-depth assessment of T cells and dendritic cells.
Konecny, Andrew J; Mage, Peter; Tyznik, Aaron J; Prlic, Martin; Mair, Florian.
Afiliación
  • Konecny AJ; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle WA, 98107, USA.
  • Mage P; Department of Immunology, University of Washington, Seattle, WA 98195, USA.
  • Tyznik AJ; Advanced Technology Group, BD Biosciences, San Jose, CA 95131, USA.
  • Prlic M; Applied Research & Technology, Medical and Scientific Affairs, BD Biosciences, San Diego, CA 92037, USA.
  • Mair F; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle WA, 98107, USA.
bioRxiv ; 2023 Dec 15.
Article en En | MEDLINE | ID: mdl-38168221
ABSTRACT
We report the development of an optimized 50-color spectral flow cytometry panel designed for the in-depth analysis of the immune system in human blood and tissues, with the goal of maximizing the amount of information that can be collected using currently available flow cytometry platforms. We established and tested this panel using peripheral blood mononuclear cells (PBMCs), but included CD45 to enable its use for the analysis of human tissue samples. The panel contains lineage markers for all major immune cell subsets, and an extensive set of phenotyping markers focused on the activation and differentiation status of the T cell and dendritic cell (DC) compartment. We outline the biological insight that can be gained from the simultaneous measurement of such a large number of proteins and propose that this approach provides a unique opportunity for the comprehensive exploration of the immune status in tissue biopsies and other human samples with a limited number of cells. Of note, we tested the panel to be compatible with cell sorting for further downstream applications. Furthermore, to facilitate the wide-spread implementation of such a panel across different cohorts and samples, we established a trimmed-down 45-color version which can be used with different spectral cytometry platforms. Finally, to generate this panel, we utilized not only existing panel design guidelines, but also developed new metrics to systematically identify the optimal combination of 50 fluorochromes and evaluate fluorochrome-specific resolution in the context of a 50-color unmixing matrix.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos