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Cd8α percp cyanine 5

Manufactured by BioLegend

CD8α-PerCP/Cyanine 5.5 is a fluorescently-labeled antibody that binds to the CD8α cell surface marker. It is designed for use in flow cytometry applications to identify and characterize CD8+ T cells.

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2 protocols using cd8α percp cyanine 5

1

T Cell Phenotyping for SARS-CoV-2 Immunity

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For T cell analysis, single cell suspensions were incubated with FcγR antibody (clone 93, BioLegend) to block non-specific antibody binding, followed by staining with a cocktail of labeled mAbs including Fixable Viability dye eFluor506, CD3e-BV711 (1:100, clone:145–2C11, BD Biosciences), CD8α-PerCP/Cyanine 5.5 (1:100, 53–6.7, BioLegend), CD4-BV785 (1:100, clone: RM4–5, BioLegend), CD44-PE/Cyanine 7 (1:100, clone: IM7, BioLegend), CD69-FITC (1:100, clone: H1.2F3, BioLegend), CD103-PE (1:100, clone: 2E7, BioLegend) and APC-labeled SARS-CoV-2 S- specific tetramer (MHC class I tetramer, residues 539–546, VNFNFNGL, H-2K(B) for 60 min at room temperature. Cells were washed twice with FACS buffer, fixed with 2% paraformaldehyde (PFA) for 20 min prior to data acquisition. Data were acquired on an Aurora (Cytek) spectral flow cytometer and analyzed in FlowJo v10 software.
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2

Multiparametric T Cell Profiling

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For T cell analysis, single-cell suspensions were incubated with FcγR antibody (clone 93, BioLegend) to block non-specific antibody binding, followed by staining with a cocktail of labeled monoclonal antibodies, including Fixable Viability dye eFluor506, CD3e-BV711 (1:100, clone 145-2C11, BD Biosciences), CD8α-PerCP/Cyanine 5.5 (1:100, 53-6.7, BioLegend), CD4-BV785 (1:100, clone RM4-5, BioLegend), CD44-PE/Cyanine 7 (1:100, clone IM7, BioLegend), CD69-FITC (1:100, clone H1.2F3, BioLegend), CD103-PE (1:100, clone 2E7, BioLegend) and APC-labeled SARS-CoV-2 S-specific tetramer (MHC class I tetramer, residues 539–546, VNFNFNGL, H-2Kb) for 60 min at room temperature. Cells were washed twice with FACS buffer and fixed with 2% paraformaldehyde for 20 min before data acquisition. Data were acquired on an Aurora (Cytek) spectral flow cytometer and analyzed with FlowJo v10 software.
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