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4 protocols using anti cd80 fitc

1

Profiling Immune Cell Subsets in Cancer

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Frequency of T cell subsets, macrophage subsets, and myeloid-derived suppressor cells (MDSC) in the peripheral blood was analyzed via flow cytometry. PBMCs procured from pre-therapy and cycle 4 day 1 blood draws were stained with anti-CD3-V450, anti-CD8-PE, anti-CD4-FITC, anti-Foxp3-PE, anti-CD56-APC, anti-CD16-APC Cy7, anti-NKG2C, anti-CD33-APC, anti-HLA-DR-PECy7, anti-CD11b-PE, anti-CD14-V450, anti-CD15-FITC, anti-CD80-FITC, anti-CD1630-PE, anti-CD206-APC and/or anti-CD69-PE-Texas Red (Beckman Coulter, Brea, CA). Immune cell subsets were defined as follows: CD4 T cells CD3+/CD4+, CD8 T cells CD3+/CD8+, Treg CD3+/CD4+/Foxp3+, M1 macrophages CD14+/CD80+/CD163/CD206+, M2 macrophages CD14+/CD80/CD163+/CD206+, NK cells CD3/CD56+/CD16+, granulocytic MDSC CD33+/HLA-DR/CD11b+/CD15+, monocytic MDSC CD33+/HLA-DR/CD11b+/CD14+. Data was acquired using a LSRII flow cytometer (BD Biosciences, San Jose, CA).
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2

Flow Cytometry Analysis of Cell Markers

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Flow cytometry was performed as previously described [26 (link),27 (link)]. Analysis of the expression levels of cell-surface markers was performed by flow cytometry. DCs were blocked for 5 min with PBS containing 10% heat inactivated human AB serum (Sigma-Aldrich, St. Louis, MO, USA), and then stained by adding the antibodies to the same buffer. All other cell types were stained on PBS containing 3% FBS. Cells were labeled with anti-CD1a-PE, anti-CD3-PC7, anti-CD4-FITC, anti-CD14-PC7, anti-CD19-ECD, anti-CD25-PC7, anti-CD69-PC5, anti-CD80-FITC, anti-CD86-PC5.5, anti-CD86-PE, anti-HLA-DR-ECD, anti-HLA-DR-PB, anti-HLA-DR-PE (all from Beckman Coulter Inc., Brea, CA, USA), anti-CD8-Pacific Blue, anti-CD71-APC-Cy7, anti-CD197-APC-Cy7 (CCR7) (all from BioLegend, San Diego, CA, USA), anti-CD83-APC (BD Biosciences, Franklin Lake, NJ, USA), and anti-CD3-PO (Abcore, Ramona, CA, USA).
Levels of surface expression on cells were estimated by flow cytometry (Gallios; Beckman Coulter, Brea, CA, USA) and analyzed using Kaluza software (Beckman Coulter, Brea, CA, USA). Entry of FITC-labeled p24 peptide into the DCs was also estimated by flow cytometry. DCs were collected 2 h, 24 h, and 48 h after complex addition, washed with PBS, and acid washed, in order to eliminate any peptide attached to the cell surface. Fluorescence was measured by flow cytometry.
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Phenotypic Analysis of Dendritic Cells and Macrophages

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Analysis of cell-surface phenotype of DCs and MØs was performed by flow cytometry. Cells were labeled with anti-CD4-FITC, anti-CD69-PC5, anti-CD80-FITC, anti-CD1a-PE, anti-HLA-DR-ECD, anti-CD14-PC7, anti-CD86-PC5.5 (all from Beckman Coulter Inc., Brea, CA, USA), anti-CD8-Pacific Blue, anti-CD36-APC, anti-CD197-APC-Cy7 (CCR7) (all from BioLegend, San Diego, CA, USA), anti-CCR5-PE, anti-CD209-PE, anti-CD83-APC (all from BD Biosciences, Franklin Lake, NJ, USA), anti-CXCR4-APC (RandD systems, Minneapolis, MN, USA) and anti-CD163-FITC (MBL International Corp., Woburn, WA, USA). Levels of surface expression on cells were estimated by flow cytometry (Gallios; Beckman) and analyzed using Kaluza software (Beckman).
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Flow Cytometric Phenotyping of Dendritic Cells

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Before maturation (0 h) and after 6 h and 24 h of maturation, the harvested DCs were washed. Staining was performed with fluorescent antibody: anti-HLA-DR-PC7, anti-CD80-FITC, anti-CD86-PE (Beckman Coulter Inc., Immunotech, France), and anti-CD83-APC (BD Pharmingen, BD Bioscience, NJ, USA). The DCs were measured using a FACSCanto flow cytometer (Becton Dickinson, NJ, USA). Data were analyzed using BD FACSDiva 6.0 software.
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