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2 protocols using anti cd8 apc a700

1

Profiling Exhausted T Cell Markers

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The expression of exhausted and cytotoxic markers of T cell was analyzed by flow cytometry. After 5 days of co-culture, cells were suspended in PBS containing 2% FBS and incubated according to the manufacturer’s instructions with the following fluorochrome-labeled antibodies: anti-CD8-APC-A700 (#B49181, Beckman Coulter), anti-CD4-APC (#IM2468, Beckman Coulter), anti-TIGIT-PE-Cy7 (#372714, Biolegend), anti-CTLA-4-BV785 (#369624, Biolegend), anti-Tim-3-PE-Cy7 (#345052, Biolegend), anti-LAG-3-BV605 (#369324, Biolegend), anti-PD-1-BV510 (#367424, Biolegend), anti-Granzyme B-PE (#372208, Biolegend), anti-IFN-γ-FITC (#IM2716U, Beckman Coulter). Cells were stained with fluorochrome-conjugated antibodies for 30 min at room temperature in the dark. For intracellular staining, surface-stained cells were fixed and permeabilized using PerFix-nc Kit (#B31168, Beckman Coulter) according to the manufacturer's instructions. Flow cytometry analyses were performed on DxFlex system (Beckman Coulter) and data were analyzed using FlowJo software (v10.5.3).
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2

Characterization of Memory T Cell Subsets

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Peripheral blood mononuclear cells (PBMCs) were separated by density centrifugation and cryopreserved. Prior to analysis on a Beckman Coulter Gallios flow cytometer with seven color acquisition, cryopreserved PBMC samples were thawed and cultured for 24 h before use to allow cells to rest and re-express cell surface molecules. Cells were stained with Aqua Live/Dead cell exclusion dye (Invitrogen) and the following fluorochrome-conjugated antibodies: anti-CD3-allophycocyanin (APC) (Becton Dickinson), anti-CD4-V450 (Becton Dickinson), anti-CD8-APC-A700 (Beckman Coulter), anti-CD45RA-phycoerythrin-Cy7 (Becton Dickinson), anti-CD62L-APC-Cy7 (BioLegend) and anti-CCR7-peridinin chlorophyll protein-Cy5.5 (Becton Dickinson). Single labeled tubes for each antibody, isotype-matched control antibodies, fluorescence-minus-one controls, dead cell exclusion and doublet discrimination were used to ensure accurate positive cut-off values and compensation matrices and to validate cell phenotype detection sensitivity and resolution. Figure 1 shows the gating strategy used to identify the memory T cell subsets. Flow cytometry data was analyzed using Kaluza 1.2 software (Beckman Coulter).
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