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6 protocols using kaluza software version 1.5a

1

CMV-specific T-cell Immune Response

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Peripheral blood was collected in heparin coated tubes. Whole blood was either stimulated with CMV cell lysate (10 µg/mL) or control lysate (10 µg/mL, HEL-299) (both Lophius Biosciences) for six hours in the presence of anti-human CD28/CD49d (1 µg/mL, clones L293 and L25, BD Biosciences, Heidelberg, Germany). If cytokine production of antigen specific T-cells was determined, Brefeldin A (Sigma Aldrich, Munich, Germany) was added after the first two hours of incubation. Following incubation, whole blood was lysed (FACS lysing solution, BD Biosciences) and permeabilized (FACS Permeabilizing Solution 2, BD Biosciences). Cells were then stained for lineage markers (anti-human CD3, Pacific Blue, clone UCHT1, and anti-human CD4 APC, clone 13B8.2, both Beckman Coulter Krefeld, Germany; anti-CD8 APC-H7, clone SK1, BD Biosciences) and IFN-γ (anti-IFN-γ, FITC, clone 45.15, Beckman Coulter). If CD154 expression was determined on antigen-specific T-cells, whole blood was washed after six hours of incubation and then stained for the above-mentioned lineage-markers, as well as for CD154 (anti-human CD154 FITC, clone 24–31, Biolegend, San Diego, CA, USA). Whole blood was lysed (VersaLyse, Beckman Coulter) and washed twice. Samples were then measured with a flow cytometer (Navios, Beckman Coulter). Data was analyzed using Kaluza Software Version 1.5a (Beckman Coulter).
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2

Characterization of Transduced ASC Phenotype

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The surface marker expression of the transduced ASCs was characterized by flow cytometry. The following antibodies (all purchased from BD Biosciences) were used: CD105-Brilliant Violet-421 (BV421) (clone 266), CD90-allophycocyanin (APC) (5E10), CD73-APC (AD2), CD13-phycoerythrin-cyanin 7 (PE-Cy7) (WM15), CD45-fluorescein isothiocyanate (FITC) (2D1), CD34-APC (581), and HLA-DR, DP, DQ-BV421 (Tu39). Fixable, viable stain 780 (FVS780) (cat. number 565388) was used to discriminate live from dead cells. Upon harvest, the cells were washed in PBS twice and stained with FVS780 for 10 min. Subsequently, the cells were washed in FACS PBS (Hospital Pharmacy) containing 1% ethylenediaminetetraacetic acid (EDTA) (Hospital Pharmacy) and 10% newborn calf serum (Gibco, Thermo Fisher Scientific) and stained for 30 min at room temperature, protected from light. Finally, the cells were washed in FACS PBS and resuspended in PBS. At least 4000 cells were measured on a Navios flow cytometer and analyzed using Kaluza software version 1.5a (both Beckman Coulter). Debris, doublets, and dead cells were excluded from the analysis.
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3

Flow Cytometric Phenotyping of Immune Cells

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Spleen and mesenteric lymph nodes (LN) were harvested and cells were obtained by mashing over a 40 µm filter. Single cell suspensions of spleen and LN were phenotypically analyzed using a Navios multi-color flow cytometer (Beckman-Coulter, Mijdrecht, the Netherlands). Human leukocytes were identified using an antibody directed against the common human surface leukocyte marker CD45 (anti-human-CD45-KO (J33, Beckman-Coulter). For cell-surface staining of human CD4 and CD8 T cells, the following antibodies were used: anti-CD4-PC5.5 (13B8.2, Beckman Coulter), and anti-CD8-APC-AF700 (B9.11, Beckman-Coulter). For intracellular staining with anti-FOXP3-e450 (PCH101, eBioscience), cells were fixed and permeabilized by fix-perm treatment (eBioscience) according to manufacturers instruction. Data were analyzed using Kaluza software version 1.5a (Beckman-Coulter) and gates were set based on single staining and FMOs (Supplemental Fig. 1)
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4

Cell Cycle Analysis by FACS

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Cell cycle analyses were performed using a detergent containing hypotonic solution (Krishans reagent) containing 10 µg/ml propidium iodide (Sigma-Aldrich; Merck KGaA, Darmstadt, Germany) according to the manufacturers protocol and fluorescence-activated cell sorting (FACS) with a Gallios flow cytometry system (Beckman Coulter, Inc., Brea, CA, USA) assay. Data were analyzed using Kaluza software (version 1.5a; Beckman Coulter, Inc.). Nuclear debris and overlapping nuclei were gated out.
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5

Flow Cytometric Analysis of Activated BMDCs

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Twenty-four hours after LPS stimulation, BMDCs were detached from the plate with D-PBS 1X (Gibco, New York, NY, USA) + 0.5 mM EDTA (Thermo Fisher Scientific, Waltham, MA, USA), washed with DPBS 1X + 0.5%BSA (Sigma-Aldrich, St Louis, MO, USA), and stained with CD11c PE Cy5 (Miltenyi Biotec, Bergisch Gladbach, Germany) and CD86 PE (Miltenyi Biotec, Bergisch Gladbach, Germany) according to the manufacturer’s instructions. Flow cytometer acquisition was performed using the NAVIOS flow cytometer (Beckman Coulter, Brea, CA, USA), and data analysis was performed using Kaluza software, version 1.5a (Beckman Coulter, Brea, CA, USA). Gating strategy: BMDCs were gated based on the physical properties and checked for positivity to CD11c (forward scatter vs. CD11c). BMDCs CD11c+ gated cells were analyzed for CD86 expression staining by histogram.
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6

Characterization of Monocyte Subsets by Flow Cytometry

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Monocyte subpopulations, consisting of CD14++CD16 classical monocytes, CD14++CD16+ intermediate monocytes, and CD14+CD16+ non-classical monocytes, were identified with the FC500 flow cytometry (Beckman Coulter, Brea, USA) using the lysis-no-wash strategy (BD Pharm Lyse lysing buffer, Becton Dickinson) with 100 μl fresh EDTA blood. Cells were stained by monoclonal antibodies (CD16 FITC Leu11a, Becton&Dickinson; CD14 ECD RM052, Beckman-Coulter; CD45 PC5 J.33, Beckman-Coulter) and subsequently analyzed with Kaluza software version 1.5a (Beckman Coulter).
The full gating strategy is displayed in Supplementary Figure 1. In short, monocytes were gated in SSC/CD45+ plot, identifying monocytes as CD45+ cells with monocyte scatter properties. Exclusion of lymphocytes and natural killer cells was performed by excluding CD14/CD16 negative cells. Percentages of monocyte subsets (CD14++CD16, CD14++CD16+, and CD14+CD16+) were identified in the CD14/CD16 plot. For determination of the gates setting, the fluorescence minus one method was applied. Identification of monocyte subsets follows current international recommendations (20 (link), 21 (link)).
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