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31 protocols using cd14 apc

1

Phenotypic Characterization of MDSC Subsets

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Extracellular staining with fluorescent antibodies on fresh or frozen PBMC was done as described previously [8 (link)]. At each time point, analyses were performed for gMDSC and mMDSC respectively. The following antibodies were used: gMDSC: CD11b-FITC, CD14-APC, CD15-PerCP, CD66b-PE [14 (link), 17 (link)]; mMDSC: CD11b-FITC, CD14-APC, CD33-PE, HLA-DR-PerCP, PerCP isotype control (all BioLegend, USA). Cells were analyzed on a FACSCalibur (BD, Germany) and analysis of data was done using FlowJo software 7.2.1 (TreeStar, Inc. Ashland, OR). Gating strategies were according to Vollbrecht et al. [8 (link)] and Rieber et al. [14 (link), 17 (link)] for gMDSC. For the gating of mMDSC, we used a PerCP isotype control in order to gate for HLA-DR and our gating strategy was according to Dumitru et al. [2 (link)] (see Additional file 1: Figure S1). For the statistics, we indicated MDSC as percentage of PBMC in all subgroups because the numbers of monocytes vary substantially in subjects with e.g. chronic viral infections. However, in the dot plots shown in Fig. 2, frequencies of the described populations are shown in percentages of monocytes.
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2

Multicolor Flow Cytometry of ADAM Proteases

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Mouse B220+ B cells or human PBMC were blocked with 10 μg 2.4G2 or human FcR blocker (Miltenyi Biotec), respectively. Human PBMC was stained with anti-human PE-CD19, APC-CD14, or PE-CD3 (Biolegend). Mouse and human cells were washed, fixed, permeabilized, blocked again, and stained with their respective antibodies: FITC-hADAM10 (R&D), PE-mADAM10 (R&D) and/or rabbit-anti-ADAM17 (Abcam) followed by DyLight-649 anti-rabbit IgG (Biolegend). Isotype control for hADAM10 is mouse IgG2b FITC (R&D), for mADAM10 is Rat IgG2a PE (R&D), and for ADAM17 is rabbit IgG. Tyramide Signal Amplification (Kit #26) was used for mouse B cell TNF staining as described [8 (link)]. Dead cells and aggregates were excluded by scatter gating, examined on a BD Canto, and analyzed with FCS Express, v.4.
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3

Genome-wide CRISPR screen in THP-1 cells

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40–50 million THP-1 Cas9-expressing cells were transduced with the Brunello sgRNA library (Doench et al., 2016 (link)) at a low MOI (~0.3) to obtain at least 500 cells per sgRNA (500X). Spin infections were performed at room temperature at 1,500 RCF for 90 mins with polybrene reagent (1:2000 dilution) (Fisher Scientific). At day 12 post-transduction of genome-wide library, AML cells were stained with human TruStain Fcblock (BioLegends #422302) for 10 mins. at room temperature and then subsequently stained for APC-CD14 (BioLegends #325608) or APC-CD11B (BioLegends #301310) followed by flow cytometry gating on high and low 10% of the population. 2–3 million cells were collected for both sorted populations followed by genomic DNA (gDNA) extraction using Qiagen DNA kit (#51306) according to manufacturer’s protocol. Individual sgRNA counts were evaluated by deep sequencing using NextSeq 550. The CD14 or CD11B “scores” were calculated by the average log2 fold change (APCHigh/APCLow) of all sgRNAs targeting a given gene.
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4

Immunophenotyping of Blood Leukocytes

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Whole human blood was incubated in ACK RBC lysis buffer (Thermo Fisher Scientific) for 4 min at 37 °C to remove red blood cells. Cells were incubated with NIR Zombie (1:200, Biolegend) in PBS for live/dead staining for 15 min at room temperature, followed by BV421 CD45 (1:200, clone 2D1, #368522, Biolegend), APC CD14 (1:200, clone 63D3, #367118, Biolegend), BV605 CD16b (1:200, clone CLB-gran 11.5, #735143 BD), PE/Cy7 CD19 (1:200, clone HIB19, #302216, Biolegend), PE/Cy7 CD3 (1:200, clone HIT3a, #300316, Biolegend) and Fc blocker (1:100, anti-mouse CD16/32,BD) at 4 °C in the dark for 20 min, and washed in PBS/0.5% BSA. Neutrophils, lymphocytes, and monocytes were identified from peripheral blood cells of normal healthy donors with the following high dimensional immunophenotyping; Neutrophils (CD45+, CD3/CD19−, CD16b+, CD14), lymphocytes (CD45+, CD3/CD19+, CD16b−, CD14) and monocytes (CD45+, CD3/CD19−, CD16b−, CD14). Analysis was performed using an LSRII (BD) flow cytometer and FlowJo. v10 (Treestar).
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5

Monocyte Fusion Analysis Protocol

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For cell fusion analysis, CD14+ monocytes were pretreated with 100 ng/ml of RANKL and 50 ng/ml of M-CSF for 3 days. Then cells were surface stained with APC-CD14, FITC-CD36, FITC-DC-STAMP, and FITC-CD47 mouse polyclonal antibodies (BioLegend, San Diego, CA, USA).
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6

Quantifying Immune Cell Subsets

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For cell phenotype analysis, monoclonal antibodies were directly added to 100 μL aliquots of heparinized whole blood and incubated at room temperature for 15 min. The antibodies used were: CD3 PECy7, CD14 APC, CD56 PE-Cy5 and CD19 PerCp (Biolegend, San Diego, CA, USA), CD4 Viogreen (Miltenyi Biotec GmBh, Bergisch Gladbach, Germany), CD39 Fitc, CD73 PE, CD25 BV421 and CD127 AlexaFluor 647 (BD Biosciences, San Jose, CA, USA). Red blood cells were lysed and white cells were fixed using BD FACS lysing solution (BD Bioscience). Negative populations were determined using respective anti-human isotype controls. Samples were acquired using a MACSQuant Analyzer 10 flow cytometer (Miltenyi Biotec GmBh) and the data were analyzed using FlowJo software v. 10.0 (TreeStar Inc., Ashland, OR, USA).
We compared the frequencies of four subsets based on CD39 and CD73 expression (CD39CD73+, CD39+CD73+, CD39+CD73, and CD39CD73) within each studied population (B cells as CD3CD19+, CD4+ T cells as CD3+CD4+, CD8+ T cells as CD3+CD4, NK cells as CD3CD4CD19CD56+, Tregs as CD3+CD4+CD25++CD127, and monocytes as CD14+). The percentage of these four subsets was related to their corresponding precursor populations (CD4+ T, CD8+ T, B, NK, and monocytes). In the case of Treg, the percentage was related to CD4+ T cells.
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7

Characterization of Activated T Cells in RA

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Previously frozen PBMCs from RA subjects were cultured at 5 × 106 total cells/well within a 24 well plate in RPMI-1640 + 10% pooled human serum with 10 µg/ml of peptide. IL-2 (Novartis) was added at 325 IU/ml on day 6. After 14 days cells were stained for expression of CD25 FITC (BD), CD4 PerCP (BioLegend), Annexin V APC (BD), CD14 APC (BioLegend), CD19 APC (BioLegend), and tetramer before being run on a FACSCalibur. The data was analyzed by FlowJo software version 9.6.2 (Tree star).
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8

Multiparameter Flow Cytometry of Hematopoietic Cells

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Single cell suspensions obtained from colony forming assays or hematopoietic organs from mice were surface stained with monoclonal antibodies. Antibodies used for analysis of human immature stem and progenitor cells from colony forming assays: CD34 PE-Cy7(581), CD38 APC (HIT2), CD10 PE/PeCy5/APC (HI10a), CD45RA PerCP-Cy5.5 (HI100), CD90 APC-Cy7 (5E10) (Biolegend). Antibodies for erythroid cells from colony assays and HEMA: CD117 PE-Cy7 (104D2), CD71 APC/APC-Cy7 (CY1G4) (Biolegend), CD235a BV421 (HIR2) (BD biosciences). Antibodies for myeloid cells from colony forming assays: CD34 PE-Cy7 (581), CD33 PE/PerCP-Cy5.5 (WM53), CD14 APC (M5E2), CD115 BV421 (g-4D2-1E4), CD15 PeCy5 (W6D3), CD66b PerCP-Cy5.5 (G10F5) (Biolegend). Antibodies for megakaryocyte populations: CD41 PerCP-Cy5.5 (HIP8), CD61 APC (VI-PL2) (Biolegend). Antibodies for overall human and human myeloid cells in xenograft assay: CD45 Biotin (HI30), CD34 PE-Cy7/APC-Cy7 (581), CD33 PE/PerCP-Cy5.5 (WM53), CD15 PeCy5 (W6D3). Antibodies for human B cells in xenograft assay: CD19 PE-Cy7 (HIB19), IgM APC-Cy7 (MHM-88), CD10 APC (HI10a) (Biolegend). Antibody to detect murine cells in xenograft assay: CD45 PE-Cy7/PerCP-Cy5.5 (30-F11) (Biolegend). Streptavidin APC/V450 (Biolegend) were used as secondary antibodies. BD LSRFortessa was used for flow cytometry. Analyses were performed using FlowJo.
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9

Multiparametric Immune Cell Profiling

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Thawed PBMC were washed twice with complete culture medium (RPMI 1640 supplemented with 10% fetal bovine serum and 1% each of l‐glutamine, sodium pyruvate, nonessential amino acids, antibiotics, 0.1 M HEPES, 55 μM β‐mercaptoethanol) plus 0.02 mg/ml DNAse. PBMCs were stimulated for 4 h at 37°C in a 5% CO2 atmosphere with PMA (100 ng/ml) and Ionomycin (1 μg/ml) in complete culture medium. For each sample, at least 2 million cells were left unstimulated as negative control, and 2 million cells were stimulated. All samples were incubated with a protein transport inhibitor containing brefeldin A (Golgi Plug, Becton Dickinson). After stimulation, cells were stained with LIVE‐DEAD Aqua (Thermo Fisher Scientific) and surface mAbs recognizing HLA‐DR‐PE‐Cy7, CD14‐APC, and CD16‐BV421 (BioLegend, San Diego, CA, USA). Cells were washed with stain buffer, fixed, and permeabilized with the cytofix/cytoperm buffer set (Becton Dickinson) for cytokine detection. Then, cells were stained with previously titrated mAbs recognizing IFN‐γ‐FITC and TNF‐BV605 (all mAbs from BioLegend). Samples were acquired on Attune NxT acoustic cytometer (Thermo Fisher).
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10

Multicolor Flow Cytometry for Immune Cell Profiling

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Samples were resuspended in FACS buffer (2% FBS, 0.1% sodium azide) and stained with the following mixtures of Biolegend antibodies: BDCA1-Percp/Cy5.5, CD14-APC, HLADR-Pacific Blue, CD3/19/56-FITC, CD123-PE/Cy7, and either FcεRIα-PE or mouse IgG2b-PE, all at manufacturer's recommended concentrations. Some samples were stained with CD45-A700 to identify hematopoietic cells and CD203c-biotin (Biolegend, at manufacturer's recommended concentrations) followed by streptavidin-A647 (Invitrogen, at manufacturer's recommended concentration) to identify mast cells. Cells were stained with antibodies and propidium iodide (PI) (Biolegend) at 1∶400 for 15 minutes at 4 degrees, washed and spun at 1300 rpm, and resuspended in FACS buffer. At least 1×106 cells were run on slow or medium speed on a BD LSRII machine and analyzed with Flowjo software.
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