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5 protocols using anti cd8 bv605

1

Multiparametric Flow Cytometry of Immune Cells

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Flow cytometry experiments were conducted in accordance with the previously described protocol.
13 (link) Cells from human were incubated with the following: APC‐Cy7 live/dead (1:100, BD), PE‐Cy7 anti‐CD3 (1:100, BD), BV605 anti‐CD8 (1:100, BD), FITC anti‐T‐cell antigen receptor (TCR) Vα7.2 (1:200, BD), PerCP‐Cy5 anti‐ CD161 (1:100, BD), Human APC 5‐OP‐RU MR1 tetramer (ProImmune, 1:200), Pacific Blue anti‐PD1 (1:100, BD), AmCyan anti‐granzyme B (GZMB) (1:100, BD), PE anti‐interferon gamma (IFN‐γ) (1:100, BD). Mouse cells were incubated with BV510 anti‐CD45 (1:100, BD), BV421 5‐OP‐RU MR1 tetramer (National Institutes of Health tetramer facility, 1:300), APC anti‐TCR‐β (1:200, BD), PE anti‐PD1 (1:100, BD), PE‐Cy7 anti‐LAG3 (1:100, BD). The BD Fortessa FACS with Diva software v6.0 was utilized to conduct flow cytometry and data were processed using FlowJo V10 software.
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2

PBMC Activation, Expansion, and Regulatory T Cell Analysis

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0.5–1.5 × 106 PBMCs were washed twice in PBS then stained with 1.25 μM of carboxyfluorescein succinimidyl ester (CFSE) for 15 min at 37 °C in dark. After five washes in complete medium, cells were incubated with anti-CD2, anti-CD3, and anti-CD28 antibodies from the T cell activation/expansion kit (Miltenyi Biotec) according to the manufacturer’s instructions. At day 3, cells were stained for surface markers (day 3 cells) or cultured for 2 more days in the presence of 100 U/mL of IL-2 (day 5 cells). Staining for CD4 and CD8 and viability dye was carried out for 30 min on ice, using V450 anti-CD4 and BV605 anti-CD8 (BD Biosciences) along with viability dye (LIVE/DEAD™ Fixable Near-IR Dead Cell Stain Kit, ThermoFisher). For Tregs identification, cells were incubated with antibodies against surface markers (anti-CD25-PE, CD3-FITC, CD127-AF647) for 45 min on ice, washed, fixed/permeabilized, and incubated with CD4-V450 and Foxp3-PE-cy7 (eBioscience). Cells were acquired on the NovoCyte flow cytometer and analyzed using FlowJo v10.
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3

Extracellular Vesicle Immunophenotyping

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To 500 µL plasma, 500 µL PBS was added and then centrifuged at 16 000 ×g for 15 minutes at 4°C. The pellet containing MVs was resuspended gently with a cocktail of MitoTrackerDeepRed (Thermo Fisher) and the monoclonal antibodies: anti-CD3-BUV737 (BD), anti-CD4-BUV395 (BD), anti-CD8-BV605 (BD), anti-CD9-PE-Dazzle 594 (BioLegend), anti-CD11b-PE-Cy7 (BD), anti-CD14-BV711 (BD), anti-CD16-APC-H7 (BD), anti-CD41a-BV650 (BD), anti-CD56-APC-R700 (BD), anti-CD61-BV605 (BD), anti-CD62P-BUV395 (BD), anti-CD66b-PerCP-Cy5.5 (BD), anti-CD146-BV421 (BioLegend). Size reference beads (Thermo Fisher) were used to determine MV size and to exclude residual platelets by gating. Liquid counting beads (BD) were used to enumerate MV number. Samples were run on a LSRFortessa (BD) flow cytometer and analyzed with FlowJo software.
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4

Identifying and Characterizing MAIT Cells and Monocytes in Liver Disease

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Mononuclear cells were stained with ethidium monoazide (EMA, Sigma-Aldrich), anti-CD161-BV421, anti-CD16-V500, anti-CD8-BV605, anti-CD19-PECy5, anti-CD107a-PE (BD Biosciences), anti-TCRVα7.2-FITC, anti-CD3-AlexaFluor700 and anti-CD14-PE-Cy7 (Biolegend) on the day they were isolated from blood samples and liver biopsies. Anti-CD69-APC-Cy7 (Biolegend), anti-HLA-DR-BV711 and anti-CD107a-PE (BD Biosciences) were included to assess activation (CD69, HLA-DR) and degranulation (CD107a).
MAIT cells were identified as CD3+CD161+TCRVα7.2+ cells and studied in 35 paired blood samples and 32 paired liver biopsies prior to and at week 4 of antiviral therapy. Monocytes were identified as SSChighHLA-DR+CD14+ cells and studied in 34 paired blood samples and 29 paired liver biopsies prior to and at week 4 of therapy. Liver biopsies with less than 41 events in the MAIT cell gate were excluded from analysis for activation and degranulation markers. CD14++CD16, CD14++CD16+ and CD14+CD16++ monocyte subsets were identified as described 31 (link) and analyzed for activation marker expression if their event counts exceeded the 25th percentile of the respective subset in all liver biopsies (n=33, 33, 23 and 23 events, respectively).
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5

Quantifying Skin Immune Cell Subsets

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Immune cell subsets were quantified from normal skin using flow cytometry as previously described.6 (link) Briefly, normal human skin was obtained from patients at UCSF undergoing elective surgery, in which healthy skin was discarded as a routine procedure. Subcutaneous fat and hair were removed, skin was minced finely with dissection scissors and mixed in a 6-well plate with 3mL of digestion buffer consisting of 0.8mg/mL Collagenase Type 4 (4188, Worthington, Lakewood, NJ), 0.02mg/mL DNAse (DN25-1G, Sigma-Aldrich, St. Louis, MO), 10% FBS, 1% Hepes and 1% Penicillin/Streptavidin in RPMI medium. Samples were incubated overnight in 5% CO2 and harvested with wash buffer (2% FBS, 1% Penicillin/Streptavidin in RPMI medium) and filtered through a 100µm filter, centrifuged, counted and stained for flow cytometry. The following antibodies were used for flow cytometry: anti117 hCD3 (-FITC, eBioscience, San Diego, CA), anti-hCD4 (-PerCP-eFluor710, eBioscience), anti-CD8 (-BV605, BD, San Jose, CA), anti-hFoxP3 (-eFluor 450, eBioscience), and LIVE/DEAD Fixable Aqua Dead Cell Stain (Life Technologies, South San Francisco, CA). Data was acquired by an LSRFortessa (BD Bioscienes) and analyzed using FlowJo software (Tree Star, Inc., Ashland, OR).
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