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9 protocols using anti cd19 ecd

1

Leukocyte Dynamics in Acute Stroke

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The analyses of the first stroke cohort (Table 1) included evaluation of leukocytes, neutrophils, T cells, CD4 + T cells, CD8 + T cells, NK cells and B cells (anti-CD45 FITC, clone: B3821F4A; anti-CD56 PE, clone: N901/NKH-1; anti-CD16 PE, clone: 3G8, anti-CD19 ECD, clone: J3-119; anti-CD4 PE, clone: SFCI12T4D11; anti-CD8 PCD, clone: SFCI21Thy2D3; and anti-CD3_PC5, clone: UCHT1 [Beckman Coulter, Krefeld]) on days 0, 1, 2, 3, 4, 5, 7 post stroke. Cell analysis was performed on an FC500 (Beckmann Coulter, Krefeld) flow cytometer in the Department of Oncology of the University Medicine Greifswald. Cells were analysed on day of blood collection. Since all population could be clearly identified by the mentioned marker above no isotype controls were used.
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2

Comprehensive B Cell Subset Analysis

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The following Abs were used: anti-CD19–ECD, anti-CD27–Pe-Cy5, anti-CD10–FITC, anti-IgD–PE (Beckman Coulter); anti-CD20–APC-H7, anti-CD21–APC (BD Biosciences); anti-CD21–PE, anti-CD38–Pe-Cy7, anti-BR3–FITC (eBioscience), and anti–transmembrane activator and calcium modulator and cyclophilin ligand interactor (TACI)–PE (R&D Systems).
Whole blood was washed and stained with cocktails comprising the above Abs, and the RBCs were lysed. At least 80,000 PBMCs were acquired on a nine-color CyAn ADP flow cytometer (Beckman Coulter). The data were analyzed using FlowJo software version 9.2 (TreeStar, FlowJo Africa scheme).
The following B cell subsets were identified based on indicated surface markers: immature/transitional, CD19+CD10+CD38++CD27; naive, CD19+CD27CD21+; tissue-like memory, CD19+CD27CD21; resting memory, CD19+CD27+CD21+; activated mature, CD19+CD27+CD21; plasmablasts, CD19+CD27++CD38+++; unswitched resting memory, CD19+CD21+CD27+IgD+; and switched resting memory, CD19+CD21+CD27+IgD. The expressions of BR3 and TACI were also evaluated. The gating strategy is shown in Supplemental Fig. 1.
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3

Multiparameter Flow Cytometry of PBMCs

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After separation from the whole blood in EDTA, 100 μl of viable PBMC (peripheral blood mononuclear cell) was stained with different combinations of monoclonal antibodies. To characterize the phenotype of T and B cell subsets, extracellular labeling was performed with anti-CD8FITC, anti-CD161PE, anti-CD3ECD, anti-CD4PC5.5, anti-CD16FITC, anti-CD56PE, anti-IgDFITC, anti-CD27PC5.5, and anti-CD19ECD (Beckman Coulter, Miami, FL). Living cells were gated within the side/forward scatter (SSC/FSC) lymphocyte gate. For intracellular staining, cells were permeabilized with Cytofix/Citoperm (BD Biosciences). Finally, the cells were stained with anti-IL-17AFITC (MiltenyiBiotec), washed, and analyzed. All measurements were made with a CyAN ADP flow cytometer (Beckman Coulter, Miami, FL, USA) with the same instrument setting. At least 105 lymphocytes were acquired and analyzed using FlowJo (Tree Star) software. Leukocyte count and differential were determined with a routine hematology analyzer. The absolute counts of total lymphocytes were calculated by multiplying the relative size of the T and B cells and the absolute lymphocyte count.
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4

Quantifying Leukocyte Subsets by FACS

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Fluorescence-activated cell sorting was used to measure cell counts for leukocytes, neutrophils, T cells, CD4+T cells, CD8+T cells, NK cells, and B cells (anti-CD45 FITC; anti-CD56 PE, anti-CD16 PE, anti-CD19 ECD, anti-CD3 PC5, IgG1 PC7, anti-CD4 PE, anti-CD8 PCD, anti-CD3 PC5 [Beckman Coulter]).
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5

Lymphocyte Subset Analysis in COVID-19 Patients

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Based on hsTnI levels, we divided COVID-19 patients into hsTnI-L and hsTnI-H groups, and healthy physical examiners were selected as the control group. Lymphocyte subsets were compared among the three groups.
Peripheral blood samples were collected in ethylenediaminetetraacetic acid K2 (EDTA-K2) collection tubes for lymphocyte subset and hemoglobin A1c detection. Antibodies, including anti-CD3-PC5, anti-CD4-RD1, anti-CD8-ECD, anti-CD45-FITC, anti-CD56-RD1, and anti-CD19-ECD, were purchased from Beckman Coulter (USA). CD3+CD4+ cells represent T helper cells, CD3+CD8+ cells represent T suppressor cells, and CD4+CD25+CD127Dim cells represent T regulatory cells, respectively. Lymphocyte subsets were detected using a flow cytometer (FC500MCL; Beckman Coulter, USA). Hemoglobin A1c was detected using a glycated hemoglobin analyzer (Premier Hb9210, USA).
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6

Flow Cytometry of Lymphocyte Subsets

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Anti-CD3-FITC, anti-CD16-PC5, anti-CD56-PE, anti-CD19-ECD, anti-HLA-DR-PC7,
anti-CD45-FITC, anti-CD4-PE, anti-CD3-PC5, and anti-CD8-ECD fluorescent
conjugated monoclonal antibodies (Beckman Coulter, USA) were used for
quantification of major lymphocyte subsets.
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7

Multiparametric Flow Cytometry of Cells

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Fresh single cells were harvested from passage 5, 12, 20 and resuspended in PBS. Cells were subsequently stained with mouse antibodies anti-CD3-PC5.5, anti-CD3-FITC, anti-CD19-ECD, anti-CD20-APC, anti-CD25-PC5.5, anti-CD45-PC7, anti-CD56-PE, (Beckman Coulter, Brea, CA, United States) according to the manufacturer’s standard procedures. Measurement was performed using a Beckman Coulter Navios flow cytometer.
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8

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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9

Isolation and Characterization of NK Cells and PMN-MDSCs

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NK cells and PMN-MDSCs were isolated from PBMCs of mobilized and non-mobilized donors using NK isolation kit and CD66b+ microbeads (purity >98%, data not shown) following manufacturer’s instruction (Miltenyi Biotec, Bergisch Gladbach, Germany). Before starting any experiment, we determined the purity of isolated cells by flow cytometry using anti-CD3-APC, anti-CD19-ECD, and CD56-PC7 (Beckman Coulter, Brea, CA) for NK cells. PMN-MDSCs were labeled with anti-CD3-AF700, anti-CD19-AF700, anti-CD11b-FITC, anti-CD33-PC7, anti-HLA-DR-PE, anti-CD14-ECD, anti-CD45-KrOr, and anti-CD66b-APC desiccated in the Duraclone custom design platform (Beckman Coulter, Brea, CA) adding anti-CD56-BV650 (BioLegend, San Diego, CA) and following manufacturer’s instruction. After the staining procedures, cells were acquired at Cytoflex LX and analyzed with Cytexpert software (v2.4, Beckman Coulter, Brea, CA). Freshly isolated NK cells were immediately used for functional studies and gene expression evaluation.
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