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Accuri cflow software

Manufactured by BD
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The BD Accuri C6 Flow Cytometer Software is a computer program designed to control and operate the BD Accuri C6 flow cytometer instrument. The software provides users with the necessary tools to configure the instrument, acquire and analyze data from samples, and generate reports. It supports features such as data acquisition, real-time plotting, gating, and data export.

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16 protocols using accuri cflow software

1

Neutrophil Immunophenotyping by Flow Cytometry

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Flow cytometry was performed as previously described with modification (Barletta et al., 2012 (link)). The neutrophils were stained with 0.1 μg of FITC-mouse Ly6G antibody (eBioscience, San Diego, CA, USA) and 0.1 μg of PE-mouse CD11b antibody (eBioscience). All of the experiments were recorded using Accuri Cflow software (BD Bioscience, CA, USA) and were analyzed using FlowJo software (Three Star, Ashland, OR, USA).
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2

Tumor-Infiltrating Lymphocyte Analysis

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Mice were sacrificed 14 days from irradiation or not. Tumor tissues were resected and weighed, then digested into single cell. Mononuclear cells in the TME were enriched using Lympholite M gradients (CedarlaneLaborato-ries). Two independent experiments of 7–9 mice per group were done.
The collected cells were blocked with Fc blocker, incubated with anti-CD45 antibody (FITC, clone 30-F11) and 7AAD (cat # 640930). CD45+7AAD were gated as TIL for further analysis (see Fig. S4). Additional antibodies were used to detect CD4+ T cell (anti-CD3-PE, clone 17A2; anti-CD4-APC, clone GK1.5), CD8+ and CD3+ T cell (anti-CD3-PE, clone 17A2; anti-CD8-APC, clone 53-6.7; anti-CD44-BV421, clone BJ18; anti-62L-AF700, clone DREG56), MDSCs (anti-Gr-1-PE, clone RB6-8C5; anti-CD11b-APC, clone M1/70) or (anti-CD11b-APC, clone M1/70; anti-Ly6G-PE, clone 1A8; anti-Ly6C-BV421, clone HK1.4), B cells and dendritic cells (anti-MHCII-PE, clone 15-5-5; anti-CD11c-APC, clone N418). The antibodies were purchased from Biolegend or Ebioscience, and used according to the instructions. Data was analyzed by flow cytometry using a Becton-Dickinson FACS flow cytometer with Accuri CFlow software (BD, USA) and FlowJo Software (Ashland, USA).
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3

Intracellular ROS Measurement by DCFDA

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The level of intracellular ROS was measured by BD Accuri C6 (BD Biosciences, Franklin Lakes, NJ, USA) using a DCFDA-Cellular Reactive Oxygen Species Detection Assay kit (Abcam) according to the manufacturer's protocol. The cells were incubated with 2′,7′-dichlorofluorescin diacetate (DCFH-DA) at a final concentration of 10 µM in 1X buffer for 30 min at 37°C, and detected by fluorescence spectroscopy with maximum excitation and emission spectra of 485 and 535 nm, respectively. For each analysis, 10,000 events were recorded. Data were exported by Accuri CFlow software (v1.0.227.4, BD Biosciences), and the intracellular ROS levels were expressed as the average DCF fluorescence intensity.
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4

Hamster Thymus and Spleen Analysis

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Five-week-old hamsters were sacrificed, and single cells from the thymus and spleen were prepared for flow cytometric analyses. To obtain single-cell suspensions, tissues were cut to small pieces with scissors and passed through a 70-μm cell strainer (BD Biosciences, Franklin Lakes, NJ, United States) by pressing with plunger. The red blood cells were eliminated by using red blood cell lysis buffer. The prepared cells were stained with a 1:400 dilution of fluorescein isothiocyanate conjugated anti-mouse major histocompatibility complex (MHC) class II (I-Ek; clone 14-4-4S), a 1:300 dilution of antigen presenting cell conjugated anti-mouse CD4 (clone GK1.5) (all from E-Bioscience, San Diego, CA, United States), a 1:100 dilution of anti-CD3 (clone 4F11 developed by us[14 (link)]) was followed by incubation with a 1:50 dilution of a goat anti-mouse secondary antibody (ZF-0312, ZSGB-BIO). The samples were analyzed on a BD Accuri C6 (BD Biosciences). The data were acquired using Accuri CFlow software (BD Biosciences) on the LSR II and analyzed using the FlowJo VX software.
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5

Apoptosis Assay in PC12 Cells

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PC12 cells were grown in 6 well-plates (5×105 cells per well) and divided into different groups including: Control, model, miR-335 mimic, miR-335 inhibitor, siRNA-ROCK2 and NC groups. Each group was transfected with the respective miRNA or siRNA and then incubated with serum-free medium for 24 h except the control group. Control group was incubated with RPMI-1640 medium containing 10% fetal bovine serum (Gibco; Thermo Fisher Scientific, Inc.). An Annexin V-FITC Apoptosis Staining/Detection kit (cat. no. ab14085; Abcam) was used to detect the levels of apoptosis. PC12 cells were digested with 0.25% Trypsin and resuspended with 500 µl binding buffer. Annexin V and propidium iodide (5 µl) were then added into the suspension and labeled for 5 min in the dark. The percentage of apoptotic cells was detected using a flow cytometer (AccuriC6; BD Biosciences, Franklin Lakes, NJ, USA). Accuri CFlow software (Version 1.0; BD Biosciences) was used to analyze the data. Each experiment was replicated 3 times and the data are presented as the mean ± SEM.
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6

Quantitative Bacterial Characterization via FISH

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Samples were centrifuged at 10,000×g for 3 min and supernatant discarded. Pelleted sample was fixed for 4 h at 4 °C with 4% (w/v) filtered paraformaldehyde (pH 7.2) in a ratio of 1:3 (v/v). Samples were washed twice with filtered PBS and resuspended in 600 μL of a mixture of PBS/ethanol (1:1, v/v) and then stored at − 20 °C for up to 3 months. Hybridisation was carried out as described in Rycroft et al. (2001a (link), b (link)) using genus and group specific 16S rRNA-targeted oligonucleotide probes (MWG Biotech, Ebersberg, Germany).
The sample probes used were Bif164 (Langendijk et al. 1995 (link)), Bac303 (Manz et al. 1996 (link)), Lab158 (Harmsen et al. 2000 (link)), Ato2913, Prop853 (Walker et al. 2005 (link)), Erec482 (Franks et al. 1998 (link)), Rrec584 (Walker et al. 2005 (link)), Fprau655 (Hold et al. 2003 (link)), Chis150 (Franks et al. 1998 (link)), shown in Additional file 1: Table S1. Samples were screened using a flow cytometer (Accuri C6, BD Biosciences, USA) with Accuri CFlow software.
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7

Sperm DNA Fragmentation Analysis

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Evanson's method is considered to be the gold standard for DFI detection and has been widely used worldwide (Alharbi, Hamouche, Phillips, Kadoch, & Zini, 2019) (link). In our study, the human sperm nuclear integrity staining kit (Xingbo Biological, Shanghai, China) was used to detect DFI (Du et al., 2017) . The chromatin structure of damaged sperm is loose; thus, the DNA denatures to form a single strand under the action of acid while the DNA of normal sperm maintains the double-stranded structure. Acridine orange (AO) emits green uorescence on combination with double-stranded DNA and yellow or red uorescence on combination with single stranded DNA. Sperms were stained with AO and analyzed using ow cytometry. A certain amount of semen was diluted to 100 μL with solution A to derive a nal concentration of (1-2) ×10 6 sperm cells/mL. After adding 200 μL of solution B (cells were placed on ice for operation), 600 μL of solution C was added after a certain time interval for 30 s. At least 5,000 sperm cells from each sample were analyzed using BD Accuri® C6 ow cytometer (BD Bioscience, Shanghai, China), and the results were analyzed using Accuri® CFlow® software (BD Bioscience, Shanghai, China).
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8

Apoptosis Assay of HCT116 and HT-29 Cells

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HCT116 and HT-29 cells (2.5×105) were seeded onto 6-well plates and treated for 48 h at 37°C with UA (15 µM) and/or DOX (1.5 µM). Propidium iodide (cat. no. P4170; Sigma-Aldrich; Merck KGaA) and Annexin-V-FITC Assay kit (BD Biosciences) were used to stain the cells for 30 min at room temperature in the dark according to the manufacturer's protocols. BD Accuri C6 Flow Cytometer (BD Biosciences) was used to assess the cell apoptosis. Acquisition and analysis of the data were performed using BD Accuri CFlow software (version, 1.023.1; BD Biosciences). Cells that were considered viable were FITC Annexin V and PI negative; cells that were in early apoptosis were FITC Annexin V positive and PI negative; and cells that were in late apoptosis or already dead were both FITC Annexin V and PI positive.
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9

Flow Cytometric Quantification of Fecal Microbiota

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Microbial load of the study cohort was measured as described previously7 (link). Briefly, 200–250 mg of frozen (−80 °C) fecal aliquots was diluted in saline solution (0.85% NaCl; VWR International) and filtered using a sterile syringe filter (a pore size of 5 µm; Sartorius Stedim Biotech). Next, 1 ml of the microbial cell suspension obtained was stained with 1 µl of SYBR Green I (1:100 dilution in DMSO; Thermo Fisher Scientific) and incubated for 15 min in the dark at 37 °C. The flow cytometry analysis was performed using a C6 Accuri flow cytometer (BD Biosciences) according to Prest et al.11 (link). Fluorescence events were monitored using the FL1 533/30-nm and FL3 > 670-nm optical detectors. The BD Accuri CFlow software was used to gate and separate the microbial fluorescence events on the FL1/FL3 density plot from the fecal sample background. A threshold value of 2,000 was applied on the FL1 channel. Based on the exact weight of the aliquots analyzed, cell counts were converted to microbial loads per gram of fecal material.
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10

Bacterial Cell Count via Flow Cytometry

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The bacterial cell count in the inoculum was measured by flow cytometry (BD Accuri C6 flow cytometer, BD Biosciences, Franklin Lakes, NJ) as previously described36 (link). Samples (200 μL) were transferred to a sterile Eppendorf tube and incubated at 35 °C for 10 min prior to staining with SYBR Green I (2 μL of 100× stock solution in 200 μL sample), vortexed, and then incubated again at 35 °C for 10 min. Samples (200 μL) were then transferred to a 96-well plate for cell counting. Concurrently, another 200 µL of the samples were stained with propidium iodide (2 μL of 100× stock solution) in combination with SYBR Green I (2 μL of 100× stock solution) to find live and dead (membrane-compromised) cells according to the same protocol used for total bacterial cell count. A flow cytometer equipped with a 50 mW laser having a fixed emission wavelength of 488 nm was used to measure the cell count. Fluorescence intensity was collected at FL1 = 533 ± 30 nm, FL3 > 670 nm, sideward and forward scattered light intensities were obtained as well. Electronic gating was used to select SYBR green I as well as propidium iodide and SYBR Green I staining labeled signals for quantifying total bacterial as well as live and dead cells. All data were processed with the BD Accuri CFlow® software. Unless specified otherwise, the bacterial counts represent the live cell number.
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