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24 protocols using anti cd4 v500

1

Flow Cytometric Analysis of Lung Immune Cells

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For flow cytometric analysis of surface markers, single-cell suspensions of lungs were incubated with a mixture containing anti-FcγRIII/II antibody (Biolegend) as well as mouse, rat, and hamster serum to block nonspecific binding. Cells were then incubated with optimal concentrations of the following specific antibodies against surface molecules: anti-CD90.2-APC-eFluor780, anti-CD127-PE-Cy7 (all from eBioscience), anti-CD44-FITC (Biolegend), anti-CD4-V500, anti-CD62L-APC, and anti-KLRG1-BV711 (all from BD Biosciences). For intracellular cytokine staining, 0.8 × 106 cells were stimulated with plate-bound anti-CD3/anti-CD28 (each 5 µg/ml, BD Bioscience) or H1 (5 μg/ml) for 4.5 h in the presence of GolgiPlug™ (BD Biosciences). Cell were stained with optimal concentrations of anti-CD4-V500 (BD Biosciences), anti-CD44-FITC (Biolegend), and anti-CD90.2-APC-eFluor780 (eBioscience). Afterward cells were fixed and permeabilized with Cytofix/Cytoperm™ (BD Biosciences). Intracellularly accumulated cytokines were stained with anti-IFN-γ-PE (Biolegend) or anti-IFN-γ-V450 (BD Bioscience), respectively, anti-TNF-PE-Cy7 (Biolegend), anti-IL-17A-PerCP-Cy5.5 (eBioscience), and anti-IL-2-APC (BD Biosciences). Data were acquired on a FACSCanto™II (BD Bioscience) or on a LSRII (BD Bioscience) and analyzed with the FCS Express 5 Flow Cytometry software (DeNovo™ Software).
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2

Multi-parameter flow cytometry analysis of immune cells

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Single cell suspensions of spleens were prepared at the indicated time points after infection and surface markers were stained with optimal concentrations of anti-CD4-V500, anti-CD8-V450, anti-CD62L-APC, anti-CD11c-FITC, anti-CD11b-PE (all from BD Bioscience), anti-CD44-FITC, anti-Gr1-APC (both from BioLegend), anti-CD90.2-APC-eFlour780 or anti-CD90.2-PE-Cy7 and anti-MHCII(I-A/I-E)-APC-eFlour780 (all from eBioscience). Tregs were stained by using the mouse regulatory T cell staining kit (eBioscience). For intracellular cytokine staining, 1 × 106 cells were stimulated with plate-bound anti-CD3/anti-CD28 (each 5 μg/ml, BD Bioscience) for 4 h or with T. cruzi antigen for 12 h in the presence of GolgiPlug™ (BD Biosciences). Cell were stained with optimal concentrations of anti-CD4-V500, anti-CD8-V450 (both from BD Biosciences) and anti-CD90.2-APC-eFlour780 (eBioscience). Afterwards cells were fixed and permeabilized with Cytofix/Cytoperm™ (BD Biosciences). Intracellular accumulated cytokines were stained with anti-IFN-γ-APC (Biolegend), anti-IL-22-PE (R&D Systems) or the isotype control rat IgG2a-PE (R&D Systems). Data were acquired on a FACSCantoTMII (BD Bioscience) and analyzed with the FCS Express 4 Flow Cytometry software (DeNovoTM Software). T. cruzi antigen was generated by repeated freezing and thawing of 1 × 108T. cruzi parasites in 1 ml PBS.
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3

Multiparametric Flow Cytometry Analysis

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Cell surface marker expression was analyzed by flow cytometry using a BD FACSLyric cytometer and data analysis was performed with the FlowJo software, both from Becton-Dickinson.
A surface staining protocol was applied to study the distribution of different cell subpopulations in peripheral blood. Briefly, 50 μL of peripheral whole blood were incubated with different combinations of fluorochrome conjugated monoclonal antibodies 20 min at room temperature (25°C). Red blood cells were lysed for 10 min with 2 mL of FACS Lysing solution (Becton Dickinson) and washed with phosphate-buffered saline (PBS) before flow cytometry analysis. Combinations of the following monoclonal antibodies were used: anti-CD3-PerCPCy5.5, anti-CD4-V500, anti-CD8-APCR700, anti-CD19-PECy7, anti-CD56-FITC, anti-CD45-APCH7, anti-CD45-V500, anti-HLA-DR-V450, anti-CD25-PECy7, anti-CD127-APC, anti-CD45RA-BV605, anti-CXCR5-BB515, anti-CXCR3-APC, anti-CCR6-PE, anti-CCR7-APCR700, anti-CD27-APC, anti-IgD-V450, anti-CD38-PE, anti-CD38-PerCPCy5.5, and anti-CD24-PE, all from Becton-Dickinson.
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4

Multicolor Flow Cytometry Immunophenotyping

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Multicolor flow cytometry was performed to analyze the phenotypes and functions of cells. Samples from WBAs were permeabilized, fixed, and subsequently stained with a panel of antibodies from Becton Dickinson (BD) containing anti-CD3 (Pacific Blue), anti-CD4 (V500), anti-CD8 (allophycocyanin [APC]-Cy7), anti-IFN-γ (phycoerythrin [PE]-Cy7), anti-IL-2 (peridinin chlorophyll protein [PerCP]-Cy5.5), anti-TNF (APC), anti-IL-17 (Alexa Fluor 488), and anti-GM-CSF (PE) or anti-Ki-67 (PE). Stained samples were read on a BD FACSCanto II. FlowJo, version 10 (Treestar), was used for compensation and analysis of data.
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5

Isolation and Characterization of Bone Marrow and Splenic Lymphocytes

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One femur was flushed with PBS through the bone cavity to harvest bone marrow cells. The spleens were removed and single-cell suspensions were prepared by pressing the organs through 70 μm cell strainers (Becton Dickinson, Franklin Lakes, NJ, USA). A Tris-buffered 0.83% (w/v) NH4Cl solution, pH 7.29, was used to lyse erythrocytes, and the cells were washed and re-suspended in fluorescence-activated cell sorting (FACS)-buffer (PBS supplemented with 1% (v/v) FCS and 0.1% (v/v) NaAz). Labeling of cell surface markers was performed using anti-CD19 PerCP (BioLegend, San Diego, CA, USA), anti-CD3 APC (BioLegend), anti-CD4 V500 (Becton Dickinson), and anti-CD8 FITC antibodies (Becton Dickinson). Lymphocytes were gated on singlet cells and thereafter B cells were defined as CD19+ lymphocytes, mature CD4+ T cells as CD4+CD3+ lymphocytes, and mature CD8+ T cells as CD8+CD3+ lymphocytes. The samples were run on a Becton Dickinson FACS Canto II and data was analyzed using the Flow Jo 10.0.6 Software (Three Star, Inc, Ashland, OR, USA).
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6

T Cell Phenotyping and Cytokine Profiling in Pancreatic Immunity

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For T cell phenotyping, single cell suspensions from pancreatic LNs or PA infiltrating cells were prepared and stained as described (26 (link)). For intracellular cytokine staining, T cells were restimulated ex vivo with hemagglutinin (HA)-specific peptides during 5 h before staining as previously described (26 (link)). The mAbs used were anti-CD61 (ITGβ3)-FITC, anti-CD51 (ITGαV)-PE, anti-CD49e (ITGα5)-APC, anti-CD183 (CXCR3)-Alexa Fluor 780, anti-CD29 (ITGβ1)-Pacific blue (BioLegend, San Diego, CA, USA); anti-CD4-V500, anti-CD4-FITC, anti-CD90.1 (Thy1.1)-PerCP, anti-CD90.1 (Thy1.1)-V450, anti-CD8a-V450, anti-CD62L-APC, anti-IL-2-APC, anti-IFNγ-PE (BD Pharmingen); anti-CD8a-APC-Alexa Fluor 780, anti-CD25-APC-Alexa Fluor 780, and anti-KLRG1-PE-Cy7 (eBioscience). Cells were analyzed on a FACSCanto II or a LSR Fortessa apparatus using Diva software (BDB).
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7

Flow Cytometric Analysis of Antigen-Specific CD4+ T Cells

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The frequency of antigen-specific CD4+ T cells secreting IFN-γ, TNF, and/or IL-2 was detected using flow cytometry31 (link). Briefly, splenocytes were ex vivo stimulated with either the gE OLP pool of total 62 peptides or 0.3% DMSO as a formulation control in the presence of anti-CD28 and anti-CD49d costimulatory antibodies (BD Biosciences), and then incubated for 2 h at 37 °C. Following the antigen stimulation, Brefeldin A (BD Biosciences) was added to splenocytes and further incubated overnight. After stimulation, splenocytes were stained with a mixture of 7-AAD, anti-CD3-FITC, anti-CD8-PE-Cy7, and anti-CD4-V500 (BD Biosciences). For ICS, surface-labeled splenocytes were permeabilized with Cytofix/Cytoperm buffer (BD Biosciences) and labeled with a mixture of anti-TNF-α-PE, anti-IL-2-V450, and anti-IFN-γ-APC (BD Biosciences). Stained samples were analyzed using an LSRII flow cytometer (BD Biosciences) and FlowJo software (FlowJo, LLC).
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8

Liver Immune Cell Subset Profiling

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Characterization of immune cell subsets in the liver was performed essentially as described previously21 (link). The individual samples were analyzed with a LSRII/Fortessa flow cytometer (BD Biosciences) and the FlowJo software Vx (Treestar). All indicated antibodies and reagents were titrated to determine optimal concentrations. CompBeads (BD) were used for single-color compensation to create multi-color compensation matrices. For gating, fluorescence minus one controls were used. The instrument calibration was controlled daily using cytometer setup and tracking beads (BD). Single cell suspensions were created using the Miltenyi Liver Dissociation Kit (No. 130-105-807) and the GentleMACS isolator (Miltenyi) using standard protocols. The following antibodies were used: anti-CD3-PE-CF594, anti-CD4-V500, anti-CD11c-AlexaFluor700, anti-CD19-APC-H7, anti-CD326 (EPCAM)-BV711, anti-Ly6C-PerCP-Cy5.5 (all from BD), anti-CD8-eFluor650, anti-CD11b-eFluor605NC (eBioscience), anti-CD45-VioBlue, anti-CD49b-PE, anti-MHC-II-APC (Miltenyi), anti-F4/80-PE-Cy7, anti-Ly6G-APC-Cy7 (Biolegend). A gating strategy is provided in the supplementary material and methods (Fig. S1).
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9

CD4+ Memory T-Cell Phenotyping

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A blood sample of 200 μl was used for CD4+ memory T-cell phenotyping with the following antibodies: anti-CD8-FITC (1/10, clone RPA-T8), anti-PD1-FITC (1/5, clone MIH4), anti-CD122-PE (1/10, clone Mik-B3), anti-CD62L-V450 (1/10, clone DREG-56), anti-CD4-V500 (1/20, clone RPA-T4), anti-CD95-APC (1/10, clone DX2), anti-CD45RA-PE-Cy7 (1/20, clone HI100), anti-CD45RO-PerCPCy5.5 (1/10, clone UCHL1), anti-CCR7-PE-CF594 (1/10, clone 150503), anti-CXCR3-Alexa 700 (1/10, clone 1C6/CXCR3), anti-CD27-APC-H7 (1/10, clone M-T271) (all from BD Biosciences), and anti-CD3-eFluor 650NC (1/10, clone OKT3, eBioscience). After staining, the blood sample was fixed (fix/lyse solution, BD Biosciences) and cells were acquired on a BD LSR Fortessa cytometer (BD Biosciences). Data were analysed with Flow Jo software.
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10

Quantification of Gr-1+ CD11b+ Granulocytes in Infected Lungs

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To determine the absolute numbers of Gr-1+ CD11b+ granulocytes in the lungs from infected animals, flow cytometric analysis of single-cell suspensions was performed. After blocking of nonspecific binding by adding an anti-FcγRIII/II antibody (BioLegend, Amsterdam, The Netherlands) and a cocktail of mouse, rat, and hamster serum, cells were incubated with optimal amounts of the following specific antibodies (all BD Biosciences, Heidelberg, Germany): anti-CD8-V450, anti-CD4-V500, anti-CD11c-FITC, anti-CD11b-PE, anti-Ly-6G-PerCP-Cy5.5, anti-CD90.2-PE-Cy7, anti-Gr-1-APC, and anti-MHCII(IA/IE)-APC-e780. Measurement was performed on a FACSCanto™ II (BD Bioscience) and the FCS files were analyzed using the FCS Express 7 Flow Cytometry software (DeNovo™ Software, Pasadena, CA, USA). Absolute cell numbers were calculated as follows: (total cell count lung/100) × % of Gr-1+ CD11b+ cells (of analyzed flow cytometric leukocytes) = absolute cell numbers.
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