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2 protocols using cd33 apc vio770

1

Xenograft Mouse Model for CAR T Cell Therapy

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Animal studies were approved by the state animal research committee (LANUV, NRW, Germany) and all animals were cared for according to the guidelines set by the Federation of European Laboratory Animal Science Associations. Six- to 8-week-old female NOD.Cg-PrkdcSCIDIl2rgtm1Wjl/SzJ (NOD-SCID gamma; NSG) mice (Charles River Laboratories, Sulzfeld, Germany) were intravenously engrafted with 3.5 × 106 MOLM-14 cells stably expressing a firefly luciferase-EGFP fusion protein (LucEG). Six days later, mice were intravenously injected with 3.5 × 106 N3-, N4-, or CD8-hinged CD19 or CD33 CAR T cells. At days 6, 13, 20, 27, and 34, the persistence of MOLM-14 cells was assessed via luminescence imaging and PB analysis. For luminescence imaging, mice were intraperitoneally injected with D-luciferin (OZ Biosciences SAS, Marseilles, France) and after 5 min luminescence was measured in a Caliper IVIS Lumina II system (PerkinElmer LAS, Rodgau, Germany) with an exposure time of 15 s. PB was drawn from the tail vein, the erythrocytes lysed with BD Pharm Lyse (BD Biosciences), and the samples analyzed on a MACSQuant Analyzer X flow cytometer for EGFP, CD33, and CD45 expression for MOLM-14 cells and BFP, CAR (ΔNGFR), CD3, and CD45 expression for CAR T cells after staining with CD271-PE, CD3-PerCP-Vio700, CD45-APC, and CD33-APC-Vio770 (all from Miltenyi Biotec)
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2

Immunophenotyping of Expanded UCB Cells

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The antigenic phenotype of UCB cells was assessed before and during ex vivo expansion. Approximately 1 × 105 cells per test were incubated with the required antibody panel as per manufacturer’s instructions for 30 min at room temperature. All antibodies were preconjugated and monoclonal. Progenitor panel: CD34-PerCP-Vio700, CD38-FITC, CD45RA-VioGreen, CD90-APC-Vio770, CD133-APC, CD135-PE-Vio770 (Miltenyi Biotech) and CD33-PE (BD Biosciences). Mature stage myeloid panel: CD13-APC, CD14-PE, CD15-VioGreen, CD34-PerCP-Vio700, CD33-APC-Vio770, CD38-FITC, CD123-VioBlue (Miltenyi Biotech). Analysis was conducted with CITRUS (cluster identification, characterisation and regression) software [31 (link)]. The software uses a regularized supervised learning algorithm to determine the populations and features of the samples being analysed in a correlative manner. The results of a CITRUS run are clusters (populations) that differentiate the observed endpoint of the samples, and the features (relative population abundance or median expression of a functional marker) of the clusters that are responsible. All CITRUS analyses were conducted using a Significance Analysis of Microarrays (SAM) association model and a minimum cluster size of 4%, at least 5000 events from each sample were included for the analysis.
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