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164 protocols using fcs express 6

1

Flow Cytometric Analysis of Macrophage Phenotype

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For flow cytometric analysis of Mϕ phenotype in vitro, cells were gated on CD11b and analyzed for CD206 and PD-L2 (BioLegend) surface expression 24 h post 10 ng/ml IL-4 stimulation and run on Accuri C6 (BD Biosciences). For analysis of baseline IL-4Rα expression, freshly isolated Mϕ were stained with an IL-4Rα PE antibody (BD Biosciences) for 30 min. Cells were washed twice with HBSS and analyzed on an Accuri C6 flow cytometer. Data were analyzed using FCS Express 6 software (De Novo).
Mitochondrial membrane potential was analyzed by probing Mϕ with 50 nM JC-1 dye (Molecular Probes) for 30 min at 37°C. Cells were washed twice in HBSS + 1% FBS or bovine serum albumin (BSA) and analyzed on an Accuri C6 flow cytometer. Membrane depolarization was measured by excitation using a 488 nm laser and emission intensities at 585 nm and 530 nm were obtained. Compensation was performed using carbonyl cyanide m-chlorophenyl hydrazone (CCCP) treated Mϕ controls and the ratio of FL2 to FL1 MFI was measured. Data were analyzed using FCS Express 6 software (De Novo).
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2

Oxidative Stress in B Cells

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To assess changes in the oxidative and anti-oxidative stress responses in B cells, PBMCs (with or without exposure to 3 µg/mL CM) were collected and stained with an APC-conjugated, anti-CD19 antibody (BD Biosciences) and exposed to CellROX™ Oxidative Stress Reagents (Cat# C10492, Thermo Fisher Scientific) according to the manufacturer’s instructions. In addition, the anti-oxidative response was assessed by measuring the intracellular levels of glutathione (GSH) using an intracellular glutathione assay (Cat#9137, ImmunoChemistry, Davis, CA, USA) along with APC-conjugated, anti-CD19 antibody staining (BD Biosciences), according to the manufacturer’s instructions. All data were acquired with the BD Accuri™ C6 flow cytometer (BD Biosciences) and analyzed using FCS Express™ 6 software (De Novo software). Our gating strategy was as follows: all cell populations were gated, and CD19+/ROS+ cells were identified in this population.
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3

Activated Memory B Cells in dcSSc

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To analyze the expression of CD180 on B cells defined by CD27 and IgD staining and investigate the expression of the activation marker CD86 of CD27+IgD+ non-switched and CD27+IgD− switched memory B cell subsets after anti-CD180 stimulation, samples of 4 dcSSc patients and 5 HCs were analyzed using the combination of anti-human CD19-AmCyan (SJ25C1, Becton Dickinson, Franklin Lakes, NJ, USA), anti-human CD27−PE/Cy7 (M-T271, BioLegend, San Diego, CA, USA), anti-human IgD−PerCP (IA6-2, BioLegend, San Diego, CA, USA), anti-human CD180-PE (G28-8, Becton Dickinson, Franklin Lakes, NJ, USA) and anti-human CD86-Pacific Blue (IT2.2, BioLegend, San Diego, CA, USA) following the manufacturer’s protocols. Briefly, PBMCs were incubated with the appropriate antibodies for 30 min on ice, washed twice in phosphate buffered saline and fixed with 1% paraformaldehyde. Fluorescence of the labeled cells was recorded using a FACS Canto II flow cytometer (Becton Dickinson, Franklin Lakes, NJ, USA) and analyzed using FCS Express 6 software (De Novo Software, Pasadena, CA, USA).
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4

Flow Cytometric Analysis of Dallol Samples

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The presence of cell/particle populations above background level in Dallol samples was assessed with a flow-cytometer cell-sorter FACSAria™III (Becton Dickinson). Several DNA dyes were tested for lowest background signal in forward scatter (FSC) red (695±20 nm) and green (530±15 nm) fluorescence (Extended Data Fig. 9a) using sterile SALT-YE medium as blank. DRAQ5™ and SYTO13® (ThermoFisher) were retained and used at 5 μM final concentration to stain samples in the dark at room temperature for 1 h. Cell-Trap concentrated samples were diluted at 20% with 0.1-μm filtered and autoclaved MilliQ® water. The FACSAria™III was set at purity sort mode triggering on the forward scatter (FSC). Fluorescent target cells/particles were gated based on the FSC and red or green fluorescence (Extended Data Fig. 9b) and flow-sorted at a rate of 1-1,000 particles per second. Sorting was conducted using the FACSDiva™ software (Becton Dickinson); figures were done with the FCSExpress 6 software (De Novo Software). Sorted cells/particles were subsequently observed by scanning electron microscopy for characterization. Minimum and maximum cell abundances were estimated based on the number of sorted particles, duration of sorting and minimal (10μl min-1) and maximal (80μl min-1) flow rates of the FACSAria (Becton Dickinson FACSAria manual).
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5

Evaluating Breast Cancer Stem Cells

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To determine the effect of the investigated compounds on the heterogeneity of breast cancer cells, flow cytometric studies were carried out with the aim to reveal the changes in the proportion of CSC-like, CD44+/CD24− cells within a heterogeneous population of MCF-7 cells (unsorted, uninfluenced by the CSC-enrichment after FACS sorting). The adherent MCF-7 cells were transferred to ultra-low attachment plastics (ULA; Corning, NY, USA), cultivated in DMEM medium supplemented with B27 (2%), EGF (20 ngmL−1) and HSA (0.15% (w/v)). Cells were cultured for 96 h to form the spheroids and then treated for another 24 h with the investigated compounds at the concentrations corresponding to their respective values of IC50,72h. The cells were subsequently washed with DPBS and incubated with CSDR to prepare single cells from the preformed spheroids and processed for the staining with anti-CD44-APC and anti-CD24-PE antibodies (Miltenyi Biotec, Bergisch Gladbach, Germany) according to the manufacturer instructions. The heterogeneity of surface markers on MCF-7 cells was determined by using flow cytometry (BD FACSVerse, BD Biosciences, San Jose, CA, USA). The data were analyzed using FCS Express 6 software (DeNovo software; Glendale, CA, USA).
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6

Flow Cytometric Analysis of EMT Markers

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Cells were collected, stained, and analyzed by flow cytometry (BD Cytoflex S flow cytometer) as follows. Staining for membrane surface molecules included use of the following antibodies: EpCAM-PE (phycoerythrin): [VU-1D9] (Abcam) and isotype control [MOPC-21] (BD Pharmingen); E-cadherin-PE: CD324 [DECMA-1] BioLegend) and isotype control [A95-1] (BD Pharmingen); and N-cadherin-APC (Allophycocyanin): CD325 [8C11] (BioLegend) and isotype control [27 (link)–35 (link)] (BD Pharmingen). Staining was performed following standard methods. Cells were stained for 30 min (EpCAM) and 20 min (E-cadherin and N-cadherin). For intracellular staining of CCT2 we used the antibody CCT2-PE: [NP_006422] (LSBio) and the isotype control [MOPC-21] (LSBio), following the method in ThermoFisher Scientific’s “Protocol A: two-step protocol: intracellular (cytoplasmic) proteins” and incubating the antibody for 70 min. When optimizing the CCT2 intracellular stain for CSS Autoprep conditions, we adjusted the antibody staining protocol for CCT2-PE to match the 20 min in the CSS Autoprep automated conditions. All data was generated using FCS Express 6 software (De Novo).
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7

ALDH Activity Assay for SWCNT Exposure

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ALDH activity was measured using the Aldefluor assay kit (Stem Cell Technologies) following manufacturer’s instructions. In brief, 9 × 105 cells were seeded in 100 mm culture dishes and incubated for 16 h. NHLF cells were then treated with various doses of SWCNTs for 48 h at a total volume of 12 mL. After specified treatment durations, 1 × 106 cells were collected, processed, and suspended in 1 mL Aldefluor buffer containing activated Aldefluor substrate in the presence or absence of diethylaminobenzaldehyde (DEAB), a specific ALDH inhibitor, for 45 min at 37 °C. The cells were then centrifuged and suspended in the Aldefluor buffer and ALDH activity was determined using BD Fortessa cell analyzer (BD Biosciences, San Jose, CA, U.S.A.). Raw flow cytometry data were exported using FCS Express 6 software (De novo software, pasadena, CA, U.S.A.) for further analysis.
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8

Characterizing Immune Cells in HIV-1 Infection

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Flow cytometry was used to determine impact of HIV-1BaL infection on CXCR4, CCR5, CD40, CD163, and CD11b expression. Furthermore, the impact of HIV-1BaL infection on TLR4, CD14, and IL-1b expression on CD68+ liver macrophages was examined. Cells were re-suspended in PBS containing 0.5% BSA at concentration 0.5–1 × 106 cells/ml. After addition of the Fc-R blocking reagent, cells were incubated with antihuman antibodies for 15 min. Cells were fixed and permeabilized at 40°C for 20 min, followed by intracellular staining with CD68-FITC and IL-1β-PB for 30 min on the ice. Flow cytometry analysis was performed on LSRII (BD Biosciences, Glendale, CA). Data were analyzed using FCS express 6 software (De Novo software).
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9

Isolation and Characterization of Brain Cell Subsets

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Brain tissue disassociation, nuclei purification with sucrose gradient, and antibody staining were carried out according to previously published protocol.54 (link) Primary antibodies: Olig2- AlexaFluor 488 (1:50 v/v, EMD Millipore MABN50A4, MO) and NeuN-AlexaFluor 647 (1:1000 v/v, Abcam ab190565, MA) were used. Flow cytometry was performed on a BD Melody (BD Biosciences, CA). The data were analyzed by the FCS Express 6 software (De Novo Software, CA). Doublets discrimination analysis was done based on signal processing (height vs. width). Olig2+ and NeuN+ cells were determined based on the AF488 and AF674 fluorescence, correspondently.
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10

Cytotoxicity Assay of Combination Drug Treatments

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Cells were plated in 6-cm dishes in DMEM/F12 medium that was supplemented with 5% FBS 24 h prior to drug treatment. The cells were then treated with DMSO (control), lapatinib (3 µM), MK2206 (6 µM for PC3-lineage cells, 15 µM for DU145-lineage cells) or both for 72 h. The attached cells were collected by trypsinization, re-suspended in complete medium at a concentration of 1 × 106/mL. Acridine orange (AO) and PI reagents (Nexcelom Bioscience, Lawrence, MA, USA) were added to the cells per the manufacturer’s instructions and loaded into a counting chamber. Both live cells (AO positive, green fluorescence) and dead cells (PI positive, red fluorescence) within the counting chamber were assessed using a Nexcelom Cellometer Fluorescent Viability Cell Counter (Nexcelom Bioscience). The data were analyzed using FCS Express 6 software (De Novo Software, Glendale, CA, USA). SEM was calculated from two independent experiments.
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