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4 protocols using anti cd19 v500

1

Flow Cytometry Identification of MAIT Cells

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Venous blood samples were collected in sodium heparin tubes and peripheral blood mononuclear cells isolated using Ficoll gradient centrifugation and cryopreserved in 10% Dimethyl Sulfoxide. Batched flow cytometry staining of frozen samples were performed including an even fraction of control and patient samples using the following antibodies for MAIT cell identification: Dead Cell Marker Aqua (Thermofisher, ratio 1:100), anti-CD14-V500 (BD Biosciences, clone: M5E2, ratio 1:100), anti-CD19-V500 (BD Biosciences, clone: HIB19, ratio: 1:100), anti-CD3-BV570 (Biolegend, clone:UCHT1, ratio: 1:50), anti-CD4-BUV615 (BD Biosciences, clone: SK3, ratio: 1:100), anti-CD161-BV650 (BD Biosciences, clone: DX12, ratio: 1:25), and anti-TCR Vα7.2-PE (Biolegend, clone: 3C10, ratio: 1:50). Cells were acquired using a BD FACSymphony A5. After compensation, MAIT cells were defined by first removing dead cells, B cells and monocytes to avoid background and unspecific binding of antibodies. Thereafter, total CD3-expressing cells were identified, CD4-positive cells excluded and MAIT cells defined as CD161 and TCR Vα7.2 double-expressing cells. A gating scheme to identify MAIT cells out of CD3+CD4- cells and plots for CD161 and Vα7.2 in individuals with and without bacterial infection is presented in Fig 2.
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2

Activated MAIT Cell Functional Assay

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PBMCs (1 × 106cells/well) were incubated with or without i6-FP (100 μM) for 30 minutes in RPMI 1640, and incubated for 16 hours in 100 μM of 7-methyl-8-D-ribityllumazine (RL-7-Me) synthesized as previously described.9 (link) GolgiPlug (0.67 μg/ml, BD Biosciences) was also added for the final 16 hours. The cells were stained using a Zombie Yellow Fixable Viability Kit (BioLegend), and combinations of the following monoclonal antibodies were used for the cell-surface and intracellular staining: anti-CD3-APC-H7 (BD Biosciences), anti-CD19-V500 (BD Biosciences), hMR1 tetramers loaded with 5-OP-RU-BV421 (NIH tetramer core facility at Emory University), IFN-γ-PE-Cy7 (eBioscience), and anti-TNF-α-PE-Cy7 (BD Biosciences). All data were acquired on a FACS LSRFortessa (BD Biosciences) and analyzed by FlowJo software (TreeStar Inc).
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Comprehensive Immunological Profiling Protocol

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Serum immunoglobulins (Ig) levels (IgG, IgA and IgM) were measured by immunoturbidimetry using the automatic analyzer Alinity c system (Abbott Laboratories, Chicago, IL, USA). For cellular evaluation, EDTA whole blood samples were collected. Lymphocyte subpopulations (CD4+ T, CD8+ T, B and NK cells) were performed using BD Trucount tubes and the BD Multitest 6 Color BTNK kit (BD Biosciences, San Diego, CA, USA), which included the following mixtures of fluorophore-conjugated monoclonal antibodies (mAb): anti-CD45-PerCP-Cy5.5, anti-CD3-FITC, anti-CD8-APC-Cy7, anti-CD4-PE-Cy7, anti-CD19-APC, and anti-CD16+CD56-PE. B cell phenotype was performed with an eight-color panel of the following mAb: anti-CD45-APC-H7, anti-CD19-V500, anti-CD10-V450, anti-CD38-PE-Cy7, anti-CD21-PE, anti-CD27-PerCP-Cy5, anti-IgD-FITC, and anti-IgM-APC (BD Biosciences, San Diego, CA, USA), following EURO-Class classification. Cells were acquired on a BD FACSCanto II Flow Cytometer (BD Biosciences, San Diego, CA, USA), and the InfinicytTM22.0 software was employed for multiparametric analysis (Cytognos SL, Salamanca, Spain).
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4

Immunophenotyping of PBMC Samples

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Peripheral blood mononuclear cells (PBMC) were isolated by centrifugation through Ficoll-Hypaque of blood samples obtained at the time of allograft biopsy, and stored at—80°C until analyzed. After thawing, 0.5–1 X 106 PBMC were incubated with various antibody combinations for 30 min at 4°C. The fluorochrome-conjugated monoclonal antibodies used were anti-CD19 V500, anti-CD3 V450, anti-CD56 PE, anti-CD14 PE-Cy7, anti-CD45 APC, anti-CD38 PE-Cy7 from BD Biosciences, anti-CD24 APC from Miltenyi Biotec and anti-IgD FITC and anti-CD27 PE from Beckman Coulter. Samples were analyzed with Canto II cytometer (BD Biosciences) and the data were processed using FlowJo software (Tree Star, Ashland, USA).
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