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Pd1 fitc

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PD1-FITC is a fluorescently-labeled antibody that binds to the PD-1 (Programmed Cell Death Protein 1) receptor. PD-1 is an immune checkpoint protein expressed on the surface of T cells and other immune cells. The FITC (Fluorescein Isothiocyanate) label allows for the detection and analysis of PD-1-expressing cells using flow cytometry or other fluorescence-based techniques.

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11 protocols using pd1 fitc

1

Multicolor Flow Cytometry Panel

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The following Abs were used in different combinations. CD8-PB, CD8-APCH7, CD3-APCH7, CD45RA-PECy5, PD-1-FITC, IFN-γ-APC, TNF-α-PECy7, and IL-2-PE were purchased from Becton Dickinson (BD, San Diego, CA), CD4-ECD, CD3-ECD, CD28-ECD, CD27-APC from Beckman Coulter (Fullerton, CA, USA), perforin-FITC (clone B-D48) from Diaclone (Besançon, France), CCR7-FITC from R&D Systems (Minneapolis, MN, USA), 2B4-PE-Cy5.5 and CD160-APC from Biolegend (San Diego, CA, USA) and CD127-PE-Cy7 from eBioscience (San Diego, CA, USA).
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2

Multiparametric Flow Cytometry Profiling of PBMCs

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In brief, healthy donors and patient’s total PBMC were stained for surface markers with the following fluorochrome conjugated antibodies: CD19-BUV737, CD107a-BUV395, CD3-BV786, CD33-BV711 & CD14-BV650 (for AML study), CD15-BV650 & CD30-BV605 (for HL study), PD1-FITC, CD62L-PerCP-Cy5.5, CD57-PE-CF594, CD16-AF700 from Beckton Dickinson, CD69-PE from Beckman Coulter, CD45RO-VioGreen, CD7-VioBlue, CD56-PE-Vio770, CD45RA-APC-Vio770, and NKG2C-APC from Miltenyi Biotec. Cell viability was determined using DAPI (BD Biosciences). Cells were stained with the corresponding antibodies in FACS buffer (PBS, 2% FBS) on ice for 25–30 min and washed twice with the same FACS buffer and acquired on BD LSR-Fortessa instrument (Blue-Yellow/Green-Red-Violet-Ultraviolet) (BD Bioscience). Flow Cytometry Standard (FCS) files were analyzed using FlowJo software v10.6.1 (Becton, Dickinson and Company, Ashland, OR). The gating strategy for conventional flow cytometry and the determination of the “percentage” of selected cells in the figures is described in the Supplemental Figure S1.
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3

Multiparameter Flow Cytometry Analysis

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Cells to be stained were resuspended in FACS buffer (HBSS containing 1% FCS) and incubated with the indicated antibodies for 15 minutes on ice. Cells were then washed in FACS buffer before acquisition on an LSR-II flow cytometer (BD Bioscience, Franklin Lakes, NJ) and analysis using Flowjo (Treestar). Antibodies (Biolegend, San Diego, CA unless otherwise stated) used were anti-mouse CD4 PerCP-Cy5.5, CD8 Pacific Blue/APC-cy7, PD-1 FITC, CXCR5-biotin (BD Bioscience), CD44 Pacific Blue, GL-7 FITC, FAS PE, CD138 APC, CD19 APC-cy7, CD23 PE, CD21 PerCP-Cy5.5, CD11b-biotin, CD11c Pacific Blue/APC, B220 PE, PDCA-1 Pacific Blue and streptavidin APC/FITC/PerCP. For intracellular staining of markers, an intracellular staining kit (Fix/Perm, eBioscience, San Diego CA) was used together with anti-mouse Foxp3 PE (eBioscience).
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4

Immunophenotyping of NK Cell Subsets

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Single-cell suspensions were stained according to standard protocols and subsequently stained for 30 min at 4°C with the following antibodies (BD Biosciences): TIGIT-FITC, CD226-FITC, PD1-FITC, CD155-PE, CD33-APC, CD34-FITC, CD3-PerCP, CD4-APC, CD8-PE, CD16-APC, CD56-BV421, and CD56-PB450. CD56+ NK cells were divided into CD56+CD16 NK (CD56bright NK) cells and CD56+CD16+ NK (CD56dim NK) cells using an anti-human CD16 antibody (24 (link)). After washing the suspension twice, the cells were analyzed by FCM. The fluorescence compensation between channels was adjusted to circle the target cell group, and the FCM data were subsequently analyzed using Cell QuestTM Pro 4.0.2 software (BD Biosciences).
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5

Flow Cytometric Analysis of Surface Markers

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Surface markers were analyzed using a four-laser LSRII flow cytometer (BD Bioscience, Mississauga, Ontario, Canada). The following mAbs were used: anti-CD3-Pacific blue, anti-CD4-PercpCy5.5, anti-CD8-Alexa700, anti-CD38-APC, anti-human leukocyte antigen-D related (HLA-DR)-APC.Cy7, and anti-programmed cell death 1 (PD-1)-FITC (BD Bioscience, Mississauga, Ontario, Canada). The viability marker Vivid (Invitrogen, Burlington, Ontario, Canada) was used to exclude dead cells. Data were analyzed using FlowJo software v9.6.4 (Ashland, Oregon, USA).
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6

Granuloma Cell Phenotyping by Flow Cytometry

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Cells dissociated from granuloma were collected with manual pipette, incubated with 0.05% Trypsine-0.53 mM EDTA for 15 min at 37 °C to dissociate cells. Cells from five similar wells were pooled, washed and re-suspended in FACS buffer (PBS, 0.5% BSA, and 2 mM EDTA). Cells were then labeled with a mixture of the following fluorescent antibodies: CD45-PerCp CD8-APC-Cy7, CD137-Alexa700 and PD-1-FITC(all from BD bioscience. San Jose, CA, USA). Cells were analyzed on a NovoCyte Quanteon and the data were analyzed using FlowJo Software (TreeStar Ashland, OR, USA, Ver10.7.2).
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7

Multiparametric Flow Cytometry Profiling

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Fluorescence-activated cell sorting (FACS) analysis were developed using specific human antibodies (Abs) to the following surface molecules: CD8-Allophycocianin (APC), CD4-Peridinin-chlorophyll-A protein (PerCP) and HLA-DR-Fluorescein-isothiocyanate (FITC) (all three from ImmunoStep), 7-Amino-Actinomycin D (7-AAD), CD8-BV510, CD86-BUV737, CD14-BV395, PD-L1-Phycoerythrin (PE) and PD-1 FITC (all five from BD Biosciences). Cells were stained with proper antibodies for 30 min at 4 °C in the dark and washed once with Phosphate Buffer Saline (PBS). Not stained cells were used as negative controls. For all assays, samples were run in FACS Calibur or FACS Celesta (BD Biosciences) flow cytometers and data were analyzed with FlowJo (TreeStar) v. 10.6.2 software or BD Diva v10.
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8

T-Cell Checkpoint Marker Analysis

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Cells were collected at the end of the study and assessed for T-Cell checkpoint markers (BD, LSRII). The following antibodies and fluorophores were used: CD3 (PerCP, BD), CD4 (BUV737, BD), CD8 (V500, BD), CTLA4 (PE, BD), Lag3 (APC-R700, BD), PD1 (FITC, BD), TIGIT (PE, BioLegend), and TIM3 (PE, BD). Cells were fixed post staining (Cytofix, BD).
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9

Comprehensive Flow Cytometry Immunophenotyping

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Different immune cell subpopulations were immunophenotyped with flow cytometry from fresh PB samples with 6 panels of different cell-surface markers, including the following immune checkpoint receptors and cytotoxicity and migration markers: CD3-PerCP-Cy5.5 (BD, catalog 332771), CD4-PE-Cy7 (BD, catalog 560649), CD45-APC-H7 (BD, catalog 560178), CD8-BV510 (BD, 563919), CD56-BV421 (BD, 562751), CXCR1-FITC (BioLegend, catalog 341606), CD16-PE (BD, 561313), TCR γδ-APC (BD, catalog 555718), PD1-FITC (BD, catalog 557860), LAG3-PE (BD, catalog 125209), ICOS-PE-Cy7 (eBioscience, catalog 25-9948-42), CTLA-4–APC (BD, catalog 560938), HLA-DR-BB515 (BD, catalog 560938), CD27-PE (BD, catalog 555441), CD25-PE-Cy7 (BD, catalog 561405), CD11b-APC (BD, catalog 550019), NKG2C-AF488 (R&D Systems, catalog FAB138G), CD161-PE (BD, catalog 556081), NKG2D-PE-Cy7 (BD, catalog 562365), NKG2A-APC (R&D Systems, catalog FAB1059A), DNAM-BB515 (BD, catalog 565152), CD57-PE (BD, catalog 560844), NKp46-PE-Cy7 (BD, catalog 562101), NKp30-AF647 (BD, 558408), CXCR3-AF488 (BD, catalog 561730), CCR7-PE (R&D Systems, catalog FAB197P), CD45RO-PE-Cy7 (BD, catalog 560608), and CXCR4-APC (BD, catalog 560936). CD45+ lymphocytes were acquired with the BD FACS Verse, and the data were analyzed with FlowJo, version 10.4. The results are shown in Supplemental Table 1.
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10

Comprehensive Immune Profiling in SLE and RA

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PBMCs from patients with SLE or RA and HC were collected and analyzed immediately for the molecular phenotypes of lymphocytes. The antibodies used for the surface marker analysis include anti-human CD3-ECD (Beckman Coulter, USA), CD4-Percp-Cy5.5, CD8-PE-Cy7, PD1-FITC, TIGIT-APC, ICOS-PE, TIM3-BV421, CD19-V500, CD3-FITC, CD8-V500, CD25-APC, HLA-DR- PE-Cy7, CD69-V450, and CD127-PE (BD Biosciences, USA). Briefly, 50 μl of cells was incubated with appropriate antibodies on ice in the dark for 30 min, followed by washing in PBS. All the samples were analyzed with a Navios flow cytometer (Beckman Coulter) and Kaluza analysis software (Beckman Coulter).
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