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16 protocols using cd163 apc

1

Macrophage Infiltration in Tumor Tissues

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To assess the in ltration of macrophages into tumors, tumor tissues were isolated from sacri ced mice.
The tissues were nely minced and then digested with collagenase (100 µg/mL) and DNase (0.1 mg/mL) for 2h at 37°C. After digestion, the tissues were ltered through a mesh to obtain cell suspensions. The cell suspensions were treated with RBC lysis buffer to remove red blood cells. Subsequently, the cells were stained with speci c antibodies for 30min. The uorescent dye-conjugated mouse antibodies used for staining included CD11b-FITC (BioLegend), F4/80-PE (BioLegend), CD86-APC (BioLegend), and CD163-APC (BioLegend). In addition, to analyze the phenotypes of PMA-stimulated Thp-1 cells that had been co-cultured with breast cancer cells, the following uorescent mAbs were used for staining: CD80-PE (BioLegend), CD86-FITC (BioLegend), CD163-APC (BioLegend), and CD206-PE (BioLegend).
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2

Multicolor Flow Cytometry Panel

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CD45 Alexa 700 (30-F11, Biolegend), CD11b PerCP/Cyanine5.5 (M1/70, Biolegend), CD11c Brilliant Violet 510 (N418, Biolegend), F4/80 Brilliant Violet 785 (BM8, Biolegend), Ly-6G PE/Cy7 (1A8, Biolegend), Ly-6C Brilliant Violet 605 (HK1.4, Biolegend), CD80 Brilliant Violet 421 (16-10A1, Biolegend), CD163 APC (S15049I, Biolegend), and CD285 PE (TLR-5) (ACT5, BD Biosciences) (Supplementary Table 11).
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3

Isolation and Co-culture of hiMicroglia

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After hiMac generation, hiMacs were positively selected by fluorescence-activated cell sorting (FACS, MoFlo Astrios, Beckman Coulter, Villepinte, France) using CD45-BV605 (304042, Biolegend, Paris, France, 1:300), CD11b-BV421 (301324, Biolegend, 1:300), CD14-FITC (982502, Biolegend, 1:300), CD163-APC (333610, Biolegend, 1:300), and CX3CR1-PE (341604, Biolegend, 1:300). FACS-sorted cells were co-cultured with 70–80% confluent three-week-old (day 0 = induction of neural induction) hiNeurons for three weeks. After three weeks of co-culture, cells were used for imaging. To obtain a pure culture of hiMicros for downstream qPCR analysis, FACS-sorted hiMacs were co-cultured for three weeks on 24-well-plates in inserts (353495, Falcon, pore size 0.4 µm) with confluent three-week-old hiNeurons. During co-culture, 50 ng/mL recombinant human CSF-1 (216-MC-010, R & D Systems) and 50 ng/mL human IL-34 (5265-IL-010, R & D Systems) were added every third day to the culture medium.
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4

Profiling Monocyte Subsets by Flow Cytometry

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PBMCs were incubated with mixtures of fluorochrome-conjugated antibodies, and identified by flow cytometry. Data acquisition and analysis were performed using a BD CANTO II Flow Cytometer and BD FACS DIVA software (BD Biosciences, Flanklin Lakes, New Jersey). Dead cells were distinguished by 7-amino-actinomycin D (7-AAD, BD Biosciences) staining. Cells were not permeabilized for intra-staining. To identify monocyte lineage cells, the surface markers CD14-PE (Biolegend, San Diego, California, clone HCD14) and CD16-APC/Cy7 (Biolegend, clone 3G8) were used. Pro-inflammatory and anti-inflammatory phenotypes were characterized using S100A9-FITC (BioRad, Hercules, California, clone MAC387) and CD163-APC (Biolegend, clone RM3/1) antibodies (Supplementary Table). S100A9 and CD163 expression levels were determined using a positive dataset for each antibody, identified using a matched concentration of mouse IgG1 kappa isotype control for fluorochrome color (Biolegend, clone MOPC21).
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5

Analyzing Human M1 and M2 Macrophages

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We used heparin sodium anticoagulation tubes to collect 5 ml of peripheral blood, and then took several test tubes. Add antibody PI (10 μl)/CD45-cyanine7 (1 μl)/IgG2b-CY5.5 (1 μl)/IgG1-APC (1 μl) (Biolegend Corp., San Diego, CA, USA) to each tube of 100 μl whole blood as a negative control group. PI(10 μl)/CD45-cyanine7(1 μl)/CD86-CY5.5(1 μl)/CD163-APC(1 μl) (Biolegend Corp., San Diego, CA, USA) was used as the experimental group. Add 1 ml of hemolysin to each test tube. The target cell gate can be set more accurately in the FS/SS graph of the flow cytometer. In CD45/SS flow cytometry, the monocyte gate can be set more precisely. Using a three-color scheme, select the CD45/SS map to set a gate, and detect high expression of CD14 (macrophages) in the blood. As per the antibody manufacturer's instructions, human M1 and M2 macrophages were expressed by adding fluorescently labeled mouse antihuman CD14-FITC, CD86-PE-Cyanine5, and CD163-APC monoclonal antibody reagents (10 μL; Biolegend Corp., San Diego, CA, USA). The mixtures were mixed well and allowed to react in a refrigerator at 4°C for 30 min. The mixtures were centrifuged at 1500 rpm for 5 min to remove the supernatants. The obtained cell deposits were resuspended in PBS for flow cytometry analysis.
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6

Multicolor Flow Cytometry Analysis

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Mixed cell suspensions were stained for surface markers with combinations of the following antibodies: CD45-vioblue450, CD11b-PE (Tonbo, San Diego, CA), CD11c-APC, CCR5-PE-Cy7 (BD Biosciences, San Jose, CA), CCR7-PE-Cy7, HLA-DR-FITC, CD3-VioGreen (Miltenyi Biotec), CD3-APC, CD11c-PerCp-Cy5.5, CD1c-PE-dazzle, CD163-APC, HLA-DR-BV570, CD207-APC, CD1a AF700 (Biolegend), CD103-PE-Cy7, CD83-PE, CD14-e780, CD1a-FITC, CD86-e710 (eBiosciences, San Diego, CA), DC-SIGN-FITC, DC-SIGN-PE, DC-SIGN-APC (R&D systems, Minneapolis, MN). Dead cells were excluded with 7AAD (Southern Biotech) or zombie dye yellow staining (Biolegend). Analysis was performed on 8-color MACSQuant 10 (Miltenyi biotech) or Gallios (Beckman Coulter) flow cytometers and data analyzed with FlowJo software (Tree Star, Inc. Ashland, OR). Expression of surface markers is shown as percentage of positive cells. Fluorescence minus one (FMO) strategy was used to establish appropriate gates. The gating strategy is shown in supplementary Figure 1.
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7

Quantifying M1/M2 Macrophage Phenotype

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The expression levels of M1 and M2 macrophage polarization markers CD86, CD163, and CD206 were detected by flow cytometry. In 100 μL of peripheral blood anticoagulated with heparin sodium, we added mouse anti-human CD14-FITC, CD86-PE-Cyanine5, CD163-APC, and CD206-PE (Biolegend, San Diego, CA, USA) to 10 μL respectively. After the sample was mixed well, it was incubated in the dark at room temperature for 20 min, followed by the addition of red blood cell lysate. Further, each sample was shaken and incubated in the dark at room temperature for 15 min, followed by flow cytometry measurements. Then, the forward scatter (FSC) was taken as the abscissa and the longitudinal scatter as the ordinate (SSC) to develop a scatter plot. The lymphocyte gate was set, and then the boundary fluorescence marker was determined. The results were analyzed with Flow Jo 7.6.1 software.
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8

Multicolor Flow Cytometry Analysis

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Mixed cell suspensions, either freshly isolated or hormone-treated, were stained for surface markers with the following mouse anti-human antibodies: CD45-VioletFluor 450, CD3-APC-Cy7, CD8-FITC, CD11b-PE (Tonbo Biosciences, San Diego, CA), CD3-APC, CD163-APC, CD11c-PerCp-Cy5.5 (BioLegend Inc., San Diego, CA), PD-L1-PE-Cy7, PD-1-PerCp-Cy5.5 (BD Biosciences, San Jose, CA), CD4-PE (eBioscience, San Diego, CA). Analysis was performed on MACSQuant flow cytometer (Miltenyi Biotec) using MACSQuantify software and data were analyzed with FlowJo software (Tree Star, Inc., Ashland, OR). Expression of surface markers was measured by the percentage of positive cells and the mean fluorescence intensity (MFI).
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9

Multicolor Flow Cytometry Analysis

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Mixed cell suspensions were stained for surface markers with combinations of the following antibodies: CD45-vioblue450, CD11b-PE (Tonbo, San Diego, CA), CD11c-APC, CCR5-PE-Cy7 (BD Biosciences, San Jose, CA), CCR7-PE-Cy7, HLA-DR-FITC, CD3-VioGreen (Miltenyi Biotec), CD3-APC, CD11c-PerCp-Cy5.5, CD1c-PE-dazzle, CD163-APC, HLA-DR-BV570, CD207-APC, CD1a AF700 (Biolegend), CD103-PE-Cy7, CD83-PE, CD14-e780, CD1a-FITC, CD86-e710 (eBiosciences, San Diego, CA), DC-SIGN-FITC, DC-SIGN-PE, DC-SIGN-APC (R&D systems, Minneapolis, MN). Dead cells were excluded with 7AAD (Southern Biotech) or zombie dye yellow staining (Biolegend). Analysis was performed on 8-color MACSQuant 10 (Miltenyi biotech) or Gallios (Beckman Coulter) flow cytometers and data analyzed with FlowJo software (Tree Star, Inc. Ashland, OR). Expression of surface markers is shown as percentage of positive cells. Fluorescence minus one (FMO) strategy was used to establish appropriate gates. The gating strategy is shown in supplementary Figure 1.
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10

Fluorescent Labeling of NiV Vaccine Antigens

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NiV G ECD and CD40.NiV were labeled with AF647 following instructions of the manufacturer (Thermo Fisher Scientific, cat# A20186). Splenocytes from naive hCD40Tg were incubated 30min on ice with 1nM of labeled vaccine and phenotyped using following antibodies: CD45-BV711 (Sony biotechnologies, clone 30-F11), CD11c-BV785 (Sony biotechnologies, clone N418), MHC-II (I-A/I-E)-PerCP-Cy5.5 (Sony biotechnologies M5/114.5.2), CD3-AF700 (Sony Biotechnology, clone 17A2), B220-PECy7 (Sony biotechnologies, clone RA3-6B2). Binding on AGM PBMCs was performed similarly using following phenotypic panel: Anti-CD3-V500 (BD Biosciences, clone SP34-2), CD4-FITC (BD Biosciences, clone L200), CD8-BV650(BD Biosciences, clone RPA-T8), CD20-SB702 (Fisher Scientific, clone 2H7), CD14-AF700 (Biolegend, clone M5E2), CD45-PerCP (Biolegend, clone D058-1283), CD163-APC (Biolegend, clone GHI/61) and HLA-DR-APC-H7 (BD Biosciences, clone L243).
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