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Fcs express 6 and 7

Manufactured by De Novo Software
Sourced in United States

FCS Express 6 and 7 are data analysis software packages developed by De Novo Software. The software is designed to process and analyze flow cytometry data. It provides tools for data visualization, gating, and statistical analysis.

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3 protocols using fcs express 6 and 7

1

Comprehensive Immunophenotypic Analysis

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Immunophenotypic analysis was performed using one of the following instruments: BD FACSCanto II, BD LSRFortessa II, BD FACSymphony A5, Beckman Coulter Cytoflex S or Beckman Coulter Cytoflex LX. Antibodies used for immunophenotypic analysis are listed in Supplementary Data 7. Cells were incubated with a human (Miltenyi Biotec, #130-059-901, dilution 2:100) and mouse FcR blocking reagent (BD #553141, dilution 1:100) prior to staining with antibody cocktail. All steps were performed at 4 °C in PBS 2% FBS. Data were analyzed with FCS Express 6 and 7 (DeNovo Software). Staining for cell cycle analysis was performed by fixing and permeabilizing cells with the eBioscience™ Foxp3 / Transcription Factor Staining Buffer Set as per manufacturer’s indications, followed by 30 min incubation at +4oC with human FcR blocking reagent (Miltenyi Biotec, #130-059-901, dilution 2:100) and overnight staining at +4oC with Ki67-AF647 (BD #558615, dilution 2:100). Samples were acquired on the FACSymphony A5 with low flow rates after addition of Hoechst 33342. Staining for EdU incorporation was performed with the Click-iT™ Plus EdU Pacific Blue™ Flow Cytometry Assay Kit (TermoFisher Scientific #C10636) following the manufacturer’s indications.
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2

Flow Cytometry Data Analysis

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The flow cytometry data were analyzed with FCS Express 6 and 7 (De Novo Software, Pasadena, CA, USA). The results in this study are presented as mean ± standard deviation (SD). The statistical analyses were performed in Prism 8 (GraphPad Software, San Diego, CA, USA) using an unpaired two-tailed T test. A difference with a P value less than 0.05 was considered statistically significant.
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3

Differential Gene Expression Analysis

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The flow cytometry data were analyzed with FCS Express 6 and 7 (De Novo Software, Pasadena, CA). With the exception of RNA sequencing results, all data are presented as mean ± standard deviation (SD), and statistical analyses were performed in Prism 8 and 9 (GraphPad Software, San Diego CA) using paired two-tailed t-test unless specified. Differences with a p-value less than 0.05 was considered statistically significant. For analysis of differential gene expression, p-values were adjusted for multiple comparisons using Benjamini-Hochberg false discovery rate (FDR) [48 ]. Genes expressed in different MSC types with a FDR of ≤0.05 and absolute fold-change ≥1.5 were reported as significantly differentially expressed (DE).
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