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Peakview version 2

Manufactured by AB Sciex
Sourced in United States

PeakView® Version 2.2 is a software application for the analysis and visualization of high-resolution mass spectrometry data. The software provides tools for data processing, peak detection, and compound identification.

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8 protocols using peakview version 2

1

Quantitative Analysis of Anti-Inflammatory Compounds

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The data are expressed as mean ± S.E. or mean ± SD. One-way ANOVA followed by Fisher's least significant difference (LSD) test was used for assessing significance between the inflammation group and the CN extracts (or DEX) treated groups. Statistical analysis was carried out by using SPSS, version 20 (SPSS Inc., Chicago, United States). Moreover, the UPLC-QTOF-MS/MS data were and analyzed by the software PeakView, version 2.2 and MasterView, version 1.0 (AB SCIEX, Framingham, United States). The MassBank, Pubchem and ChemSpider were applied to analyze the MSn data.
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2

Quantitative Analysis of Alkaloid Levels

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Relative intensities for each were determined from LCMS data by calculating the area under the peak (AUC) using Peakview version 2.2 (AbSciex) and then dividing that value by the AUC of our internal standard, ajmaline. Absolute concentrations were calculated from the AUC and a standard curve for each alkaloid; each quantity was then normalized using the original wet weight of the sample. We performed Welch's t tests to determine the significance of differences in alkaloid concentrations between varieties and two‐way ANOVA followed by Tukey pairwise comparison post hoc analyses to determine the significance of treatments. For qPCR data analysis, LinRegPCR (Ruijter et al., 2009) was used to determine primer efficiencies. Absolute copy numbers of transcripts were determined (X¯0s=ΔTE^sb¯alogE^s(E¯a)C¯qs) and then normalized to the absolute copy number of 40S ribosomal protein S9 (RPS9), our control gene, from the same sample. The resulting data were analyzed using ANOVA and Welch's t tests. All statistical analyses were performed in R (version 3.4.3). Values are considered significant below p = .1.
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3

SWATH-MS Quantitative Proteomic Analysis

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The SWATH-MS files were interrogated with SWATH-assay library (Fig. 1B) using MS/MSALL with SWATH-MS Acquisition MicroApp version 2.0 and PeakView version 2.2 software (SCIEX, Concord, ON, CA). Maximum six peptides were allowed for quantification of a single protein with a maximum of six transitions per peptide. The transition was extracted in a retention time window of 5 min (±2.5 min) and with a mass tolerance of 75 ppm. Peptides with a minimum confidence level of 95% were used. False discovery rate (FDR) threshold was kept below 5%. The filtered proteins and associated peptides were exported to MarkerView version 1.2.1 software (Sciex, Concord, ON, CA) for relative quantitative analysis. The median peak ratio method was used for the normalization of the quantitative protein data for all samples of different groups. Statistical analysis of the relative quantitation was performed by t-test analysis. The protein levels with a P < 0.05 were considered significant. For all SWATH-MS quantitation in this study, three biological replicates were used. For each biological replicate, there were three technical replicates.
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4

Metabolism of SCH 58261 in Rat Liver Microsomes

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Rat liver microsomes (final concentration = 2 mg/mL) were incubated with SCH 58261 (5 µg/mL) in a reaction mixture that consisted of 2 mM NADPH, 5 mM UDPGA, and 0.5mM GSH at 37 °C. The reaction was initiated by adding the cofactor solutions containing NADPH, UDPGA, and GSH to the rat liver microsome suspension with a 3-min pre-incubation. The microsomes, mixed-cofactor, and SCH 58261 were mixed and incubated for 0 and 60 min at 37 °C. The reaction was stopped by adding ACN. After vortexing for 1 min and centrifuging at 8000× g for 10 min, the supernatant was transferred to another Eppendorf tube. The supernatants were evaporated to dryness under vacuum in a rotary evaporator with a cold trap (Eyela CVE-3110 & UT-1000, Tokyo, Japan). The dried residue was re-constituted to 210 μL of DW/MeOH (2:1), vortexed, centrifuged at 10,000× g for 5 min, and the supernatant was transferred to an LC vial for analysis. PeakView® Version 2.2 (Sciex, Redwood City, CA, USA) and MetabolitePilot Version 2.0.2 (Sciex, Redwood City, CA, USA) were used for the structural elucidation of SCH 58261 metabolites.
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5

Quantitative Analysis of α-Amanitin

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Data acquisition and a LC-qTOF-MS operation were conducted using Analyst® TF Version 1.6 (Sciex, Foster City, CA, USA). α-Amanitin was quantified by MultiQuant® Version 2.1.1 (Sciex, Foster City, CA, USA) using peak integration. The PK parameters of α-amanitin were calculated by WinNonlin® version 8.1.0 (Certara, Princeton, NJ, USA) in a non-compartment analysis. For MetID analysis, PeakView® Version 2.2 (Sciex, Foster City, CA, USA) and MetabolitePilot™ Version 2.0.2 (Sciex, Foster City, CA, USA) were used for the structural elucidation of α-amanitin metabolites. Excel 2016 spreadsheet (Microsoft®) was also used to process the statistical analysis of results.
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6

LC-MS/MS-based Metabolite Profiling

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Data acquisition and LC-MS/MS operation were conducted using Analyst® TF Version 1.6 (Sciex, Redwood City, CA, USA). MultiQuant® Version 2.1.1 (Sciex, Redwood City, CA, USA) was used for peak integration for MMAF quantification. The descriptive statistics for the qualification studies were calculated with Excel 2015 (Microsoft, Seoul, Korea). Pharmacokinetic parameters were calculated in a non-compartmental analysis using WinNonlin® version 8.0.0 (Certara, Princeton, NJ, USA). PeakView® Version 2.2 (Sciex, Redwood City, CA, USA) and MetabolitePilotTM Version 2.0.2 (Sciex, Redwood City, CA, USA) were used for the structural elucidation of metabolites. MedChem Designer (Simulations Plus, Inc, Lancaster, CA, USA) was used for in silico metabolite prediction.
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7

Mass spectrometry analysis of PsKAI2 protein

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Mass spectrometry measurements were performed with an electrospray Q-TOF mass spectrometer (Waters) equipped with the Nanomate device (Advion, Inc.). The HD_A_384 chip (5 μm I.D. nozzle chip, flow rate range 100−500 nL/min) was calibrated before use. For ESI − MS measurements, the Q-TOF instrument was operated in RF quadrupole mode with the TOF data being collected between m/z 400 and 2990. Collision energy was set to 10 eV and argon was used as the collision gas. PsKAI2 proteins (50 µM) in 50 mM ammonium acetate (pH 6.8) in presence or without (-)-GR24 (500 µM) were incubated for 10 min at room temperature before denaturation in 50% acetonitrile and 1% formic acid. The solutions were directly injected for Mass spectra acquisition or digested before LC-MS/MS analyses. Mass Lynx version 4.1 (Waters) and Peakview version 2.2 (Sciex) software were used for acquisition and data processing, respectively. Deconvolution of multiply charged ions was performed by applying the MaxEnt algorithm (Sciex). The average protein masses were annotated in the spectra and the estimated mass accuracy was ± 2 Da. External calibration was performed with NaI clusters (2 μg/μL, isopropanol/H2O 50/50, Waters) in the acquisition m/z mass range.
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8

Quantification and Structural Elucidation of Daporinad

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Data acquisition and LC-qTOF-MS operation was conducted using Analyst® TF Version 1.6 (Sciex, Foster City, CA, USA). MultiQuant® Version 2.1.1 (Sciex, Foster City, CA, USA) was used for the peak integration for Daporinad quantification. PeakView® Version 2.2 (Sciex, Foster City, CA, USA) and MetabolitePilot™ Version 2.0.2 (Sciex, Foster City, CA, USA) were used for the structural elucidation of Daporinad metabolites. The descriptive statistics for the qualification studies were calculated with Excel 2015 (Microsoft). Pharmacokinetic parameters were calculated in a non-compartmental analysis using WinNonlin® version 8.0.0 (Certara, Princeton, NJ, USA).
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