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13 protocols using sphero rainbow calibration particles

1

High-throughput flow cytometry of yeast cultures

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High-throughput flow cytometry experiments were performed using the Accuri C6 flow cytometer equipped with an autosampler (BD). Cells were cultivated in 500 μl YPD, CSM or YP-galactose in 96 deep-well plates at 30°C, 250 rpm for 24 h prior to being diluted to OD600 0.1 in 500 μl of the respective medium and cultivated under the same conditions until fluorescence measurements were performed in biological triplicate. Immediately before starting the fluorescence measurements, 1 drop of SPHEROTM Rainbow Calibration Particles (8 peaks, Spherotech, Catalog No: RCP-30-5A, Lot No: AG01) was added to 100 μl of the respective media in an empty well, dispersed and measured along site the samples to generate a standard curve and allow the calculation of molecules of equivalent Fluorescein (MEFL) values (16 ). A total of 30 000 events were recorded at a flow rate of 66 μl/min, and a core size of 22 μm. GFP was excited at 478 nm at 70 mW and emission detected at 530 nm. Data acquisition was performed as described in the Accuri C6 Sampler User's Guide. The acquired data were analyzed in the Accuri C6 Sampler software.
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2

Measuring Gene Expression in Biofilms

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Gene expression was measured by combining fluorescent promoter fusions encoded on a plasmid and flow cytometry as described previously5 (link),75 (link). Hereto, monoculture or mixed culture biofilms were inoculated with the different S1 reporter strains. After 48 h of incubation, biofilm cells were collected as described above and the fluorescence of 100,000 cells was measured at single cell level using the BD Influx (Becton Dickinson). Prior to each analysis a calibration was performed using SPHEROTM Rainbow Calibration Particles, 8 peaks, 3.0–3.4 µm (Spherotech), according to the manufacturer’s recommendations. The difference in expression profile between various conditions was compared via probability binning. Probability binning divides the FACS profile of the control sample in bins with an equal number of events. Subsequently, these bins are also applied to the test sample. A Cox Chi-square test compares the number of events between test and control sample in each corresponding bin. The Chi Squared value is next conversed to a normalized T(χ) metric that is analogs to a t-score and describes the similarity between two distributions76 (link). Biologically relevant T(χ) thresholds for each fluorescent promoter fusion were determined previously based on the variance of the reporter gene in question5 (link).
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3

Flow Cytometry Analysis of Peripheral Blood

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Venous blood was processed for flow cytometry as described previously, within 2 h of collection (5 (link)). Monoclonal antibodies used were as follows: Cyto-STAT tetrachrome system lymphocyte cocktail (anti-CD45-FITC/CD4-phycoerythrin (PE)/CD8-PE-Texas red (ECD)/CD3-PE-Cy5) and Natural Killer (NK) cocktail (anti-CD45-FITC/CD19-ECD/CD3-PE-Cy5/CD56-PE) (Beckman Coulter). Analysis was performed on a Cytomics FC 500 using CXP software (Beckman Coulter). Sphero Rainbow Calibration particles (Spherotech, Lake Forest, IL, USA) were used for periodic calibration of channels.
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4

Cell Cycle Analysis: DNMT1 Expression

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Data were normalized to the instrument using 8-peak SPHERO Rainbow Calibration Particles (Spherotech; catalog no. RCP-30-5A). WinList 3D v8.0 (Verity Software House) was used for post-acquisition analysis. Doublet discrimination was performed using the DAPI area and peak signals. Gated singlet events were displayed in a bivariate plot of cyclin A2 versus DNA content to identify S + G2 + M phase cells as both cyclin A2 positive and >2C DNA. These color-evented cells were used as a guide to set the boundary between DNMT1 positive and negative events. The median DNMT1-negative value was subtracted from the median DNMT1-positive value. This net value was further processed by normalization using linear regression of 8 peak bead sets between runs performed on different days.
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5

High-Throughput Flow Cytometry Screening

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Cells
were analyzed and
sorted with a BD FACSAria IIu flow cytometer (Becton Dickinson (BD),
Franklin Lakes, NJ). A blue solid-state laser (488 nm excitation)
and a 530/30 nm filter was used to measure eGFP. FCS files were analyzed
using Flowing Software v2.5.1 (Cell Imaging Core, Turku Centre for
Biotechnology, Turku, Finland). For flow cytometry sampling, the geometric
mean of the FITC-A fluorescence for 10 000 events was taken
as the “promoter activity”. Prior to sorting, the cytometer
was calibrated using Accudrop beads (BD) and SPHERO Rainbow calibration
particles (Spherotech, Lake Forest, IL).
On the day of sorting,
2–4 mL of library frozen stocks were thawed, centrifuged to
remove excess glycerol, and used to inoculate 25 mL of MOPS minimal
medium supplemented with 0.4% (w/v) xylose, 100 μg/mL ampicillin,
and 0.1 mM IPTG. Cells were monitored hourly until they reached a
postrecovery state (∼5 h), as indicated by 85–90% of
cells expressing GFP. Cells were then dosed with 0 or 100 μM
formaldehyde and sorted 2 h later (Figure S8). The final promoter library in the NEB5α and ΔfrmR strains was sorted into eight gates with approximately
equivalent populations, and 1 000 000 events were collected
from each gate directly into LB medium. Populations were recovered
at 37 °C overnight and miniprepped for sequencing. Plating indicated
that approximately 70% of the sorted cells survived.
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6

Multi-parameter flow cytometry analysis

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Cell staining used two multi-parameter flow cytometry assay panels optimized to interrogate innate cell maturation and function S1 and S2 Tables. Acquisition was performed on a Fortessa (for the 24 hours flow panel exclusively) or LSR II (for the 6 hours flow panel exclusively) (BD Biosciences) cytometers with daily machine standardization with CS&T beads (BD Biosciences) and calibration using manufacturer’s Cytometer Settings and Tracking calibration software. Each flow run was normalized by the use of Sphero™ Rainbow calibration particles (Spherotech) to ensure that identical voltages were used for acquisitions of all fluorescent channels on all samples. Data were analyzed using FlowJo v.10.1 (FlowJo LLC) in a semi-automated manner with a combination of manual gating (using the unstimulated sample and fluorescence minus one (FMOs) to determine positive populations), templates, and boolean gating for determination of polyfunctionality (production of more than one cytokine/cell). Variables include frequency of target population, geometric mean fluorescence intensity (gMFI), and integrated gMFI (igMFI) calculated as previously described [23 (link)]. Data may be accessed from http://www.immport.org/immport-open/public/home/studySearch with study accession SDY1115.
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7

Flow Cytometry Analysis of Transfected Cells

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The cells were prepared for flow cytometry analysis 48 h after transfection by removing the medium and incubating the cells with 200 μl StemPro Accutase Cell Dissociation Reagent (Gibco, cat # A11105-01) at 37°C for 5 minutes. After incubation, the plates were transferred on ice. To avoid potential cell damage the samples were prepared in successive batches so that no single sample was kept on ice for more than 1 h. The prepared samples were measured using a BD LSR Fortessa II Cell Analyzer with a combination of excitation and emission that minimizes the crosstalk between different fluorescent reporters. Cerulean and AmCyan were measured with a 445 nm excitation laser coupled to a 473/10 nm emission filter. mCherry was measured with a 561 nm excitation laser coupled to a 600 nm longpass filter and 610/20 emission filter. The Cerulean and the mCherry were measured, respectively, at PMT voltage of 330 and 310 in all the experiments except for the experiment presented in Supplementary Fig. 4a, in which mCherry was measured at PMT voltage of 325. The data presented in Supplementary Fig. 6 were obtained by measuring the AmCyan and mCherry, respectively, at PMT voltage of 350 and 315. SPHERO RainBow Calibration particles (Spherotech; Cat # RCP-30-5A, BD) were used to ensure constant device performance.
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8

Quantifying HLA-DP and HLA-DR Expression by Flow Cytometry

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HLA-DP and HLA-DR cell surface expression levels were quantified by flow cytometry staining by converting the median fluorescence intensity (MFI) observed with the relevant mAb into Molecules of Equivalent Soluble PE (MEPE) (22 (link)), using Sphero Rainbow Calibration Particles (Spherotech, Lake Forest, IL, USA) according to the manufacturer's recommendations. MEPE values were corrected for non-specific binding by subtracting the corresponding fluorescent background detected with isotype controls. Gating strategies were as follows: BLCL were analyzed as homogenous population in forward and side scatter dot plots; primary B cells and monocytes were gated in total PBMC as negative for CD4 and CD8 but positive for CD19 or CD14, respectively, before or after 48 h incubation with 200 IU/ml IFN-γ (Axxora, Farmingdale, NY, USA); immature and mature DC were analyzed by gating cells negative for CD14 and positive for CD11c after in-vitro differentiation.
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9

Flow Cytometry Data Analysis

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Samples were acquired using the ThermoFisher Attune NxT or the BD LSR Fortessa with 4 laser (405, 488, 561, 642nm), 14-detector configuration and 5 laser (355, 405, 488, 562, 633nm) 20-detector configuration, respectively. SPHERO™ Rainbow Calibration Particles (Spherotech, Lake Forest, IL, USA) were used to standardize PMT voltage settings as previously described (24 ).
Data was analyzed using FlowJo™ v.10 software (FlowJo LLC, Ashland, OR, USA) and statistical software GraphPad Prism (ver. 8, GraphPad Software Inc, La Jolla, CA, USA). Statistical significance was determined by Student t-test or One-way ANOVA where appropriate.
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10

Comprehensive Bone Marrow Cell Immunophenotyping

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The detailed protocol for whole BM staining has been previously reported (Basso-Ricci et al., 2017 (link)). In brief, Precision Count beads (BioLegend) were added to 100 μl of P1 BM sample to allow absolute quantification of hematopoietic cell subsets, and red blood cell lysis was performed. The lysed sample was labeled with fluorescent antibodies for CD3-BV605, CD56-PE-Cy5, CD14-BV510, CD61/41-PE-Cy7, CD135-PE, CD34-BV421, CD45RA-APC-Cy7 (BioLegend), CD33-BB515, CD66b-BB515, CD38-BUV737, CD45-BUV395, CD90-APC, CD10-BV786, CD11c-BV650, CD19-APCR700, CD7-PE-Cy5.5, and CD71-BV711 (BD Biosciences). Titration assays were performed to assess the best antibody concentration. After surface marking, the cells were incubated with PI (BioLegend) to stain dead cells. All samples were acquired using a BD LSR Fortessa (BD Bioscience) flow cytometer after calibration with SPHERO rainbow calibration particles (Spherotech), and raw data were collected using BD FACSDIVA software. The data were subsequently analyzed with FlowJo software, and the graphical output was automatically generated using GraphPad Prism.
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