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2 protocols using cd15 v450

1

Chordoma Cell Phenotype Changes by IFN-γ

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To assess the effect of IFN-γ on the cell-surface phenotype of chordoma cells, cells were untreated or treated with 50 ng/mL of IFN-γ (R&D Systems, Minneapolis, MN) for 24 h. Cells were then harvested and stained with the following antibodies: HLA-ABC-FITC (BD Biosciences, San Jose, CA), PD-L1-APC (clone 29E.2A3; BioLegend, San Diego, CA), CD133-PE (Miltenyi Biotec, San Diego, CA), CD24-PerCP-Cy 5.5 (BD Biosciences), CD15-V450 (BD Biosciences), and ALDHA1-FITC (USBiological, Salem, MA). Cell viability was examined using far red fluorescent reactive dye (Thermo Fisher, Waltham, MA). Cells were incubated with the antibodies for 30 min at 4°C, acquired on a FACSCalibur flow cytometer or FACSVerse (Becton Dickinson, Franklin Lakes, NJ), and analyzed using FlowJo software (TreeStar, Inc., Ashland, OR). Isotype control staining was < 5% for all samples analyzed.
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2

Immunohistochemistry and Flow Cytometry Analysis

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Immunohistochemistry. Immunohistochemical analysis was performed on 4 μm, formalin-fixed, paraffin-embedded sections in all cases. A broad immunohistochemical panel was utilized in the evaluation of the cases. Primary antibodies included CD34 (QBEnd/10, Leica (Novocastra)), CD117 (YR145, Cell Marque), CD71 (MRQ-48, Cell Marque), E-Cadherin (4A2C7, Life Technologies), Myeloperoxidase (Dako), Hemoglobin (Cell Marque), Glycophorin A (GA-R2, Ventana), CD61 and TP53 (DO-7, Ventana).

Flow cytometry. After isotonic erythrocyte lysis, flow cytometric immunophenotyping was performed on anticoagulated bone marrow aspirate specimens using previously described methods [10 (link)]. Samples were examined with flow cytometric immunophenotyping using two eight-color tubes containing antibodies from BD Biosciences (Tube1: CD13 PE, CD15 V450, CD16 APC-H7, CD33 PE-Cy7, CD34 PerCP-Cy5.5, CD45 V500, CD117 APC, HLA-DR FITC and Tube2: CD2 FITC, CD7 PE, CD34 PerCP-Cy5.5, CD36 APC, CD38 V450, CD45 V500, CD56 PE-Cy7, CD64 APC-H7). A total of 100, 000 events were collected per case. The data were analyzed using Kaluza software (Beckman-Coulter, Brea, CA) and/or Diva software (BD Biosciences).

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