Development of a 43 color panel for the characterization of conventional and unconventional T‐cell subsets, B cells, NK cells, monocytes, dendritic cells, and innate lymphoid cells using spectral flow cytometry

Although many flow cytometers can analyze 30–50 parameters, it is still challenging to develop a 40+ color panel for the phenotyping of immune cells using fluorochrome conjugated antibodies due to limitations in the availability of spectrally unique fluorochromes that can be excited by the commonly...

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Published inCytometry. Part A Vol. 105; no. 5; pp. 404 - 410
Main Authors Sahir, Fairooz, Mateo, Jericha Miles, Steinhoff, Martin, Siveen, Kodappully Sivaraman
Format Journal Article
LanguageEnglish
Published Hoboken, USA John Wiley & Sons, Inc 01.05.2024
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Abstract Although many flow cytometers can analyze 30–50 parameters, it is still challenging to develop a 40+ color panel for the phenotyping of immune cells using fluorochrome conjugated antibodies due to limitations in the availability of spectrally unique fluorochromes that can be excited by the commonly used laser lines (UV, Violet, Blue, Green/Yellow‐green, and Red). Spectral flowcytometry is capable of differentiating fluorochromes with significant overlap in the emission spectra, enabling the use of spectrally similar fluorochrome pairs such as Brilliant Blue 515 and FITC in a single panel. We have developed a 43 color panel to characterize most of the immune subsets within the peripheral immune system, including conventional T cells, unconventional T cells such as invariant natural killer T cells (iNKT), Gamma delta (γδ) T‐cell subsets (TCR Vδ2, TCR Vγ9) and mucosal‐associated invariant T cells (MAIT), B‐cell subsets, natural killer (NK) cells, plasmacytoid dendritic cells, dendritic cell subsets, hematopoietic progenitor cells, basophils, and innate lymphoid cell (ILC) subsets (CD117, CRTH2). The panel includes surface markers to analyze activation (CD38, HLA‐DR, ICOS/CD278), differentiation (CD45RA, CD27, CD28, CD57), expression of cytokine and chemokine receptors (CD25, CD127, CCR10, CCR6, CCR4, CXCR3, CXCR5, CRTH2/CD294), and co‐inhibitory molecules and exhaustion (PD‐1, CD223/LAG‐3, TIGIT), which enables a deep characterization of PBMCs from peripheral blood. Cells were analyzed on a 5‐laser Cytek Aurora and data analysis was done using FlowJo. This panel can help to make a thorough interpretation of immune system, specifically when specimen quantity is low. The panel has not been completely optimized but would rather act as a guide toward the development of a workflow for optimized multicolor immunophenotyping panel.
AbstractList Although many flow cytometers can analyze 30–50 parameters, it is still challenging to develop a 40+ color panel for the phenotyping of immune cells using fluorochrome conjugated antibodies due to limitations in the availability of spectrally unique fluorochromes that can be excited by the commonly used laser lines (UV, Violet, Blue, Green/Yellow‐green, and Red). Spectral flowcytometry is capable of differentiating fluorochromes with significant overlap in the emission spectra, enabling the use of spectrally similar fluorochrome pairs such as Brilliant Blue 515 and FITC in a single panel. We have developed a 43 color panel to characterize most of the immune subsets within the peripheral immune system, including conventional T cells, unconventional T cells such as invariant natural killer T cells (iNKT), Gamma delta (γδ) T‐cell subsets (TCR Vδ2, TCR Vγ9) and mucosal‐associated invariant T cells (MAIT), B‐cell subsets, natural killer (NK) cells, plasmacytoid dendritic cells, dendritic cell subsets, hematopoietic progenitor cells, basophils, and innate lymphoid cell (ILC) subsets (CD117, CRTH2). The panel includes surface markers to analyze activation (CD38, HLA‐DR, ICOS/CD278), differentiation (CD45RA, CD27, CD28, CD57), expression of cytokine and chemokine receptors (CD25, CD127, CCR10, CCR6, CCR4, CXCR3, CXCR5, CRTH2/CD294), and co‐inhibitory molecules and exhaustion (PD‐1, CD223/LAG‐3, TIGIT), which enables a deep characterization of PBMCs from peripheral blood. Cells were analyzed on a 5‐laser Cytek Aurora and data analysis was done using FlowJo. This panel can help to make a thorough interpretation of immune system, specifically when specimen quantity is low. The panel has not been completely optimized but would rather act as a guide toward the development of a workflow for optimized multicolor immunophenotyping panel.
Although many flow cytometers can analyze 30-50 parameters, it is still challenging to develop a 40+ color panel for the phenotyping of immune cells using fluorochrome conjugated antibodies due to limitations in the availability of spectrally unique fluorochromes that can be excited by the commonly used laser lines (UV, Violet, Blue, Green/Yellow-green, and Red). Spectral flowcytometry is capable of differentiating fluorochromes with significant overlap in the emission spectra, enabling the use of spectrally similar fluorochrome pairs such as Brilliant Blue 515 and FITC in a single panel. We have developed a 43 color panel to characterize most of the immune subsets within the peripheral immune system, including conventional T cells, unconventional T cells such as invariant natural killer T cells (iNKT), Gamma delta (γδ) T-cell subsets (TCR Vδ2, TCR Vγ9) and mucosal-associated invariant T cells (MAIT), B-cell subsets, natural killer (NK) cells, plasmacytoid dendritic cells, dendritic cell subsets, hematopoietic progenitor cells, basophils, and innate lymphoid cell (ILC) subsets (CD117, CRTH2). The panel includes surface markers to analyze activation (CD38, HLA-DR, ICOS/CD278), differentiation (CD45RA, CD27, CD28, CD57), expression of cytokine and chemokine receptors (CD25, CD127, CCR10, CCR6, CCR4, CXCR3, CXCR5, CRTH2/CD294), and co-inhibitory molecules and exhaustion (PD-1, CD223/LAG-3, TIGIT), which enables a deep characterization of PBMCs from peripheral blood. Cells were analyzed on a 5-laser Cytek Aurora and data analysis was done using FlowJo. This panel can help to make a thorough interpretation of immune system, specifically when specimen quantity is low. The panel has not been completely optimized but would rather act as a guide toward the development of a workflow for optimized multicolor immunophenotyping panel.Although many flow cytometers can analyze 30-50 parameters, it is still challenging to develop a 40+ color panel for the phenotyping of immune cells using fluorochrome conjugated antibodies due to limitations in the availability of spectrally unique fluorochromes that can be excited by the commonly used laser lines (UV, Violet, Blue, Green/Yellow-green, and Red). Spectral flowcytometry is capable of differentiating fluorochromes with significant overlap in the emission spectra, enabling the use of spectrally similar fluorochrome pairs such as Brilliant Blue 515 and FITC in a single panel. We have developed a 43 color panel to characterize most of the immune subsets within the peripheral immune system, including conventional T cells, unconventional T cells such as invariant natural killer T cells (iNKT), Gamma delta (γδ) T-cell subsets (TCR Vδ2, TCR Vγ9) and mucosal-associated invariant T cells (MAIT), B-cell subsets, natural killer (NK) cells, plasmacytoid dendritic cells, dendritic cell subsets, hematopoietic progenitor cells, basophils, and innate lymphoid cell (ILC) subsets (CD117, CRTH2). The panel includes surface markers to analyze activation (CD38, HLA-DR, ICOS/CD278), differentiation (CD45RA, CD27, CD28, CD57), expression of cytokine and chemokine receptors (CD25, CD127, CCR10, CCR6, CCR4, CXCR3, CXCR5, CRTH2/CD294), and co-inhibitory molecules and exhaustion (PD-1, CD223/LAG-3, TIGIT), which enables a deep characterization of PBMCs from peripheral blood. Cells were analyzed on a 5-laser Cytek Aurora and data analysis was done using FlowJo. This panel can help to make a thorough interpretation of immune system, specifically when specimen quantity is low. The panel has not been completely optimized but would rather act as a guide toward the development of a workflow for optimized multicolor immunophenotyping panel.
Author Mateo, Jericha Miles
Sahir, Fairooz
Siveen, Kodappully Sivaraman
Steinhoff, Martin
AuthorAffiliation 6 Qatar University, Medical School Doha Qatar
7 Department of Medicine Weill Cornell Medical College New York New York
1 Flow Cytometry Core Facility Translational Research Institute, Academic Health System, Hamad Medical Corporation Doha Qatar
5 Department of Dermatology Weill Cornell Medicine‐Qatar Doha Qatar
2 Department of Dermatology and Venereology Hamad Medical Corporation Doha Qatar
4 Translational Research Institute Academic Health System, Hamad Medical Corporation Doha Qatar
3 Dermatology Institute Hamad Medical Corporation Doha Qatar
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Keywords dendritic cells
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immunophenotyping
spectral flow cytometry
unconventional T cells
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Snippet Although many flow cytometers can analyze 30–50 parameters, it is still challenging to develop a 40+ color panel for the phenotyping of immune cells using...
Although many flow cytometers can analyze 30-50 parameters, it is still challenging to develop a 40+ color panel for the phenotyping of immune cells using...
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SubjectTerms CD223 antigen
CD25 antigen
CD27 antigen
CD28 antigen
CD38 antigen
CD45RA antigen
CD57 antigen
Chemokine receptors
Color
CXCR3 protein
CXCR5 protein
Data analysis
Dendritic cells
Dendritic structure
Emission spectra
Flow cytometry
Fluorophores
Hematopoietic stem cells
Hemopoiesis
Immune system
immunophenotyping
innate lymphoid cells
Invariants
Leukocytes (basophilic)
Lymphocytes
Lymphocytes B
Lymphocytes T
Lymphoid cells
Monocytes
Natural killer cells
Peripheral blood
Phenotyping
spectral flow cytometry
Surface markers
Technical Note
Technical Notes
unconventional T cells
Workflow
Title Development of a 43 color panel for the characterization of conventional and unconventional T‐cell subsets, B cells, NK cells, monocytes, dendritic cells, and innate lymphoid cells using spectral flow cytometry
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fcyto.a.24288
https://www.ncbi.nlm.nih.gov/pubmed/33336868
https://www.proquest.com/docview/3055929414
https://www.proquest.com/docview/2471467566
https://pubmed.ncbi.nlm.nih.gov/PMC11497249
Volume 105
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