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7 protocols using macsquant software

1

Immunophenotypic Characterization of Stem Cells

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CD34+ cells were washed in PBS, stained with CD34-allophycocyanin (APC; Becton Dickinson, San Jose, CA, USA [BD], clone 8G12), CD38-PE (BD, clone HB-7) and CD45-V500 (BD, clone HI30) in a dilution of 1:200 and analyzed using a FACS Canto II (BD) running FACS Diva software (BD). Further analysis was performed using WinMDI software (WinMDI 2.8; The Scripps Institute, San Diego, CA, USA). Discrimination between MSCs and HSPCs was possible by forward scatter, side scatter, propidium iodide (PI) staining and CFSE-staining. CD133+ cells, which were used for antagomiR experiments, were stained with CD133/2-PE (clone 293C3) and CD34-APC (clone AC136) according to the manufacturer’s protocol (Miltenyi Biotec). Analysis was performed with the MACSQuant Analyzer 10 and the MACSQuant Software (Miltenyi Biotec).
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2

Evaluating Fibroblast Viability on Hydrogel Coatings

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Dermal fibroblasts were harvested from skin biopsies collected from the experimental animals, as previously described [20 (link)]. Cells were cultured under controlled atmosphere (37 °C, 5% CO2, humidity) using Dulbecco’s modified Eagle medium (DMEM) enriched with 10% fetal bovine serum and 1% of antibiotic-antimycotic cocktail for cell culture (Life Technologies, Carlsbad, CA, USA). To assess the cytocompatibility of the hydrogels, fibroblasts were seeded in 6-well plates (2.5 × 105 cells per well) with uncoated meshes or meshes coated with HApN or Rif-HApN (n = 3 each). Following a 24-h incubation, cells were harvested with 0.25% trypsin-EDTA (Life Technologies) and centrifuged at 200 g for 7 min. The resulting pellets were resuspended in 2 mL of flow cytometry buffer (R&D Systems, Minneapolis, MN, USA) and centrifuged again. Cells were resuspended in 400 μL of buffer mixed with 10 μL of propidium iodide (Sigma-Aldrich, St. Louis, MO, USA) and the rate of cell viability was determined using a MACSQuant 10 flow cytometer equipped with a 488 nm laser (Miltenyi Biotec, Bergisch Gladbach, Germany). Data were analyzed using the MACSQuant software provided by the manufacturer (Miltenyi Biotec, Bergisch Gladbach, Germany).
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3

Monocyte Subset Characterization

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Monocytes subsets were identified by size, granularity, and by expression levels of CD14 and CD16. Fluorescence minus 1 and isotype gating strategies were used to identify expression of surface markers as previously reported17 .
Cell surface molecule expression was monitored using the following fluorochrome-labeled antibodies: anti-Tissue Factor fluorescein isothiocyanate (FITC) (American Diagnostica, Stamford, CT), anti-CD14 Pacific Blue, anti-CD16 phycoerythrin (PE), anti-CD36 allophycocyanin (APC), (BD Pharmingen, San Diego, CA), and anti-HLA-DR APC-cy7 (BD Biosciences, San Jose, CA), anti-Toll-like receptor (TLR) 2 APC, anti-TLR4 PEcy7, and anti-TLR-6 biotin (eBioscience, San Diego, CA), streptavidin APC-cy7 (BD Bioscience).
Whole blood samples were incubated for 15 minutes on ice with FACS Lyse buffer (BD Biosciences) and then washed in buffer (phosphate buffered saline with 1% bovine serum albumin and 0.1% sodium azide). Cells were then stained for 30 minutes in the dark on ice and then washed in buffer, fixed in 1% formaldehyde, and analyzed using a Miltenyi MACS Quant flow cytometer (Miltenyi Biotec, Bergisch Gladbach, Germany). MACS Quant software (version 2.21031.1, Miltenyi Biotec), and Prism 5.0 Graphpad software (La Jolla, CA) were used to organize and analyze the data.
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4

Flow Cytometric Analysis of Monocyte Adhesion Molecules

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Expression of adhesion molecules on monocyte subsets was measured directly ex vivo by flow cytometry (MACs Quant 10; Miltenyi Biotec, Bergisch Gladbach, Germany). Fresh blood samples were lysed with FACS lyse buffer (BD Biosciences) for 15 minutes and washed with buffer (phosphate-buffered saline with 1% bovine serum albumin and 0.1% sodium azide). Cells were stained for 30 minutes in the dark on ice and then washed in buffer, fixed in 1% paraformaldehyde, and analyzed. Monocyte subsets were identified by size, granularity, and surface expression levels of CD14 and CD16 using fluorochrome labeled antibodies (anti-CD14 Pacific Blue and anti-CD16 phycoerythrin; BD Pharmingen, San Diego, CA). Fluorescence minus 1 and isotype gating strategies were used to identify expression of surface markers as previously reported [22 (link)].
Adhesion molecule expression was monitored using fluorochrome-labeled antibodies against: CD11a (Pe-Cy7), CD11b (allophycocyanin-Cy7 [APC-Cy7]), CD11c (APC), CD18 (fluorescein isothiocyanate [FITC]), CD29 (APC), and CD49d (Pe-Cy7) (BD Pharmingen). Surface expression of CX3CR1 was measured using anti-CX3CR1 (Pe-Cy7; eBioscience, San Diego, CA). MACS Quant software (version 2.21031.1; Miltenyi Biotec) and Prism 5.0 GraphPad software (GraphPad, La Jolla, CA) were used to analyze the data.
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5

Mitophagy Quantification via mito-mKeima Biosensor

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HeLa and A549 cells were infected with mito-mKeima (m-Keima) expressing lentiviral vector. The fluorescence profile of this biomarker is pH-dependent, making it a perfect biosensor of mitochondrial degradation by the lysosomes [25 (link)]. Excitation at 488 nm and emission at >620 nm was used to detect m-Keima in mitochondria in the cytosol and excitation at 561 nm and emission at >620 nm was used to detect mitochondria in lysosomes (Supplementary Fig. 1A). m-Keima was analyzed by flow cytometry using MACSQuant VYB and MACSQuant software (Miltenyi Biotec, Bergisch Gladbach, Germany).
To calculate the percentage of mitophagy positive cells, 10,000 single events were acquired for each sample and subsequently gated the cells experiencing a shift to acidic m-Keima (Supplementary Fig. 1B).
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6

Evaluating Antigen-specific T-cell Responses

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Antigen-specific cell proliferative responses were measured by the 3-(4, 5-dimethylthiazol-2-yl)-2, 5-diphenyl tetrazolium bromide (MTT) assay. Two weeks after the booster immunization, PBMCs were harvested by histopaque density centrifugation (Sigma, Germany). Cells were seeded in 96-well plates (1 × 105 cells/well), stimulated with purified Salmonella outer membrane proteins (Omps) at 400 ng/well concentration, and incubated for 72 h at 37°C in a 5% CO2 atmosphere. After incubation, cells were treated with MTT solution for 4 h, and the level of formazan production was measured at 570 nm. Further, to analyze T-cell responses following immunization, 1 × 105 cells were seeded in 96 well plates and stimulated with Omps (400 ng/well) for 72 h. Following incubation, cells were labeled with anti-chicken CD3a-FITC (Cat # 8200-02), anti-chicken CD4-AF-700 (Cat # 8210-27), and anti-chicken CD8-PE (Cat # 8220-09) antibodies (Miltenyi Biotec, Bergisch Gladbach, Germany) for 30 min. The T cell population was quantified using MacsQuant software (Miltenyi Biotec, Bergisch Gladbach, Germany).
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7

Characterization of Dental Pulp Stem Cells

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Cells were stained with the R-PE-conjugated antibodies against rat CD29 (Becton Dickinson, Franklin Lakes, NJ, USA), CD90, CD45 (Becton Dickinson), and CD34 (Santa Cruz Biotechnology, Santa Cruz, CA, USA), and the FITC-conjugated antibody against rat CD49d to characterize the DPSCs by flow cytometry (Miltenyi Biotec, Bergisch Gladbach, Germany). Isotype-identical antibodies served as the controls. Data were analyzed with MACSquant software (Miltenyi Biotec). The multi-differentiability of DPSCs was assessed by their differentiation into osteoblasts, chondrocytes, and adipocytes according to the manufacturer’s instructions (R&D Systems, Minneapolis, MN, USA).
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