Cytexpert software v 2
CytEXPERT software v.2.0 is a data analysis and visualization tool for flow cytometry applications. It provides users with the ability to analyze and visualize flow cytometry data.
Lab products found in correlation
13 protocols using cytexpert software v 2
Annexin V-APC Apoptosis Assay
Splenic and Lymph Node Cell Isolation
Flow Cytometry Data Analysis
The raw data supporting the conclusions of this manuscript will be made available by the authors, without undue reservation, to any qualified researcher.
Flow Cytometry of Cell Surface Markers
Mitigating Oxidative Stress in Yeast Cells
Isolation and Characterization of B Cell Subsets
B lymphocytes were either analyzed on a CytoFLEX S flow cytometer (Beckman Coulter) using the CytExpert software V2.4 (Beckman Coulter) or FlowJo Software V10.6.2, or sort-purified on a FACSAriaFusion cell sorter or FACSAriaIII cell sorter (BD Biosciences) equipped with BD FACSDiva software (BD Biosciences). For IGHV gene rearrangement analysis by high-throughput sequencing, the B cell subsets were sorted according to the following phenotypes: MBCs from PB were sorted as PB-MD27 (CD20+IgM+IgD+CD27+CD23−CD21+) or PB-CSW (CD20+IgG+/IgA+CD27+CD23−CD21+) B cells. Splenic B cell populations were sorted as sMZ (CD20+IgM+IgD+/−CD27+CD23−CD21high), sMZ-CSW (CD20+IgG+/IgA+CD27+CD23−CD21high), sMD27 (CD20+IgM+IgD+/lowCD27+CD23−CD21+), and sCSW (CD20+IgG+/IgA+CD27+CD23−CD21+) B cells. For in vitro functional assays, B cell subsets were sorted according to the following phenotypes: PB-Naive and sNaive B cells were sorted for functional validations (CD20+IgMlowIgDhighCD27−CD23+CD5−CD21+), PB-MD27 and sMD27 (CD20+IgM+IgD+/−CD27+CD23−CD21+), PB-CSW and sCSW (CD20+IgM−IgD−CD27+CD23−CD21+), sMZ (CD20+IgM+IgD+/−CD27+CD23−CD21high), and sMZ-CSW (CD20+IgM−IgD−CD27+CD23−CD21high).
Labeling and Flow Cytometry of Extracellular Vesicles
Flow cytometry was performed using a CytoFLEX S Flow Cytometer with the laser configuration of V2B2Y3R2 and operated by the CytExpert Software v2.2 (Beckman Coulter, Brea, CA). The violet side scatter (VSSC) detector configuration was set for the detection of EVs [30 (link)].
Quantifying Bacterial Gene Expression
Fluorescence quantification was also performed by flow cytometry (Cytoflex, Beckman Coulter). FSC (forward scatter), SSC (side scatter), FITC (488 nm exciter, 525±20 nm emitter) and PB450 (405 nm exciter, 450±22 nm emitter) axes were set to log display. For sample analysis, the following gating strategy was applied: bacterial cells were gated based on a FSC and SSC plot, and then analysed for BFP signal. A new gate covering BFP + cells, which correspond to bacterial cells of our reporter strain was selected and then analysed for GFP signal. At least 10,000 events of BFP + cells were recorded for each sample and data were analysed with CytExpert software v2.2 (Beckman Coulter) or with Floreada tool (https://floreada.io).
Monocyte Subset Analysis by Flow Cytometry
Immune Cell Profiling by Flow Cytometry
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