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Quanlynx

Manufactured by Waters Corporation
Sourced in United States, United Kingdom

QuanLynx is a software application designed for data analysis and processing in analytical laboratories. It provides a comprehensive suite of tools for the quantification and interpretation of data generated by various analytical instruments, including mass spectrometers. QuanLynx is intended to facilitate efficient data management and reporting, enabling users to streamline their laboratory workflows.

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30 protocols using quanlynx

1

SCFA Quantification by LC-MS

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Before liquid chromatography–mass spectrometry (LC-MS) analysis, samples of fermentation supernatants were derivatized with hydroquinone (HQ) for the determination of SCFA concentrations [17 (link)]. Briefly, two microliters of the extracted supernatant were mixed with 70 µL of acetonitrile (ACN) containing 7.5 µM acetic acid-d4, 10 µL dipridyl disulfide (DPDS), 10 µL triphenylphosphine (TPP), and 10 µL HQ. The mixture was incubated at 60 °C for 30 min, chilled on ice, and mixed with 100 µL H2O. The vials were then centrifuged at 21,000 × g at 4 °C for 10 min. The processed HQ-reaction mixture from chemical derivatization of samples was injected into ultra-performance liquid chromatography (UPLC) system (Xevo-G2-S; Waters, Milford, MA, USA). The concentration of individual compounds was determined by calculating the ratio between the peak area of compounds and the peak area of internal standards. Acetic acid-d4 was used as an internal standard calibration curve for precise SCFA quantification. The acquired data were processed by software (QuanLynx, Waters, Milford, MA, USA).
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2

Bioanalysis of V158411, irinotecan and SN38

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Dosing of animals and collection of samples was conducted by Quotient Bioresearch (Rushden) Ltd, UK. V158411 was administered by intravenous (IV) bolus injection to female Balb/C mice, male Sprague-Dawley rats or male beagle dogs. Plasma samples were prepared by protein precipitation with acetonitrile containing internal standard (IS; dextromethorphan, 0.5 μg/mL); the analysis plate was centrifuged at 3,000 rpm for 10 minutes at 4°C. Calibration lines (1-5,000 ng/mL) were prepared in plasma for quantitation of V158411, irinotecan and SN38. Supernatant was analyzed by liquid chromatography combined with tandem mass spectrometry (LC-MS/MS) for V158411, irinotecan, SN38 and dextromethorphan. The ratios of analyte against IS peak areas were calculated, and concentrations derived from calibration lines generated by Quanlynx (Waters Ltd.).
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3

Highly Precise LC-MS/MS Quantification of Vitamin D Metabolites

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The LC-MS/MS method used in this study is traceable to the Esoterix ID-LC-MS/MS method, which is traceable to NIST. The LC-MS/MS method performed at Siemens used the Waters Acquity H-class ultrahigh performance liquid chromatography (UPLC) and triple quadrupole (TQD) tandem mass spectroscopy (MS) with MassLynx and QuanLynx software (Waters Acquity TQD system, Waters Corporation, Manchester, UK). This method is able to separate, identify, and separately quantify the concentrations of 25(OH)D2, 25(OH)D3, and 3-epi-25(OH)D3 in a serum sample. As reported by the manufacturer, the LC-MS/MS method demonstrated a dynamic assay range of 2.5–220 ng/mL (6.25–550 nmol/L) (r2 > 0.997). Three levels of 25(OH)D2 and 25(OH)D3 concentrations tested over five consecutive days yielded intra-assay coefficients of variation (CVs) of ≤7.7% and interassay precision CVs of <12% for 25(OH)D2 and 25(OH)D3.
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4

Quantifying Methionine Metabolites in Ovaries

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The methionine-associated metabolites were determined from wild-type and Dadi1 homozygous mutant ovaries raised under the restricted diet condition. Twenty ovaries per genotype were collected and homogenized in 80% MeOH. The extraction samples were centrifuged at 12000 rpm for 10 min at 4°C. The supernatants were transferred into clean tubes, dried with N2, and stored at −80°C until UPLC/MS analysis. Samples were subjected to Ultra performance liquid chromatography coupled with triple quadrupole massspectrometry (UPLC/TQMS) system. Results were further analyzed using the Masslynx™ 4.0 and QuanLynx™ (Waters) software systems. The UPLC/TQMS analysis was conducted in the Metabolomics Core Laboratory of the Healthy Aging Research Center, Chang Gung University.
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5

Untargeted Metabolomics Data Processing

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A graphical overview of the data processing steps is given in Fig. 1. In short, automatically integrated LC-MS data (MarkerLynx, Waters Inc) was cleaned from non-endogenous, background noise signals. The remaining signals were corrected for drift if detected in QC samples. Next, the signals were normalized with the median fold change method47 (link), 48 (link). Adjusted data were subjected to null hypothesis significance testing by either two-sample t-test or Wilcoxon signed rank test, depending on the outcome of the Shapiro-Wilk test for normality. Also taken in account was the homogeneity of variance via the Barlett test. Data adjustments and statistical analysis were done in R (R 3.2.3, R Core Team, 2015).
After this first selection, rough identifications based on exact mass to charge ratios (m/z), isotope distributions, fragmentation patterns and database hits (HMDB, METLIN) were performed. Peaks in the extracted ion-chromatograms of features with a putative identification were manually reintegrated (QuanLynx, Waters Inc.) and the new values were again subjected to data adjustments and significance testing. The metabolite markers from this second selection were used for pathway enrichment. The enriched feature list was subjected to a final identification step with chemical standards.
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6

HILIC-MS Targeted Metabolite Profiling

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Hydrophilic interaction chromatography (HILIC) was performed on a nano-UPLC system (Waters Inc. Milford, USA) coupled by a nano-ESI source to a Synapt G2 HDMS (Waters, Manchester, UK) as described in [31] (link) with slight modification in the flow rate. The initial flow rate was 3.5 μl/min and went down to 2.5 μl/min during the gradient for 10 min. A pooled sample consisting of a mix of every sample collected was repeatedly analyzed after every fifth sample in order to monitor the LC-MS performance and to assess the technical variance. Along with the pooled samples, a standard reference compound mix was analyzed containing the targeted metabolites glutamate, citrate, isocitrate, NAD+, ATP, ADP, acetyl CoA, malonyl CoA, and palmitoyl CoA, each at 5 μM concentration. Relative quantifications of the targeted metabolites were done by using the module QuanLynx of the mass spectrometry software MassLynx (version 4.1, Waters, United Kingdom).
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7

Plasma Drug Quantification by UPLC-MS/MS

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Plasma drug concentrations were measured using liquid chromatography coupled with tandem mass spectrometry (ACQUITY UPLC-Quattro Premier XE system, Waters, Milford, MA, USA) in a device equipped with an ACQUITY UPLC BEH shield (RP18, 1.7 μm) and a 2.1×100 mm column (Waters). All the data were acquired and processed using MassLynx software (version 4.1) with QuanLynx (Waters). Positive-ion electrospray tandem mass spectroscopy, operated under the multiple reaction monitoring mode, was used to detect mass transitions (parent to daughter ion), with m/z 399.48 to 283.1 for sunitinib, m/z 371.27 to 283.1 for N-desethylsunitinib, m/z 465.35 to 252.1 for sorafenib, and m/z 268.23 to 116.03 for metoprolol, which served as an internal standard. Plasma samples were deproteinized with 4 volumes of acetonitrile (Nacalai Tesque) and the supernatants were used for analysis.
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8

Detailed Data Analysis Protocol

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The Microsoft Excel software was used to analyze the obtained data. Means, standard deviations (SD), and relative standard deviations (RSD) were calculated. For the analysis of MS data, the Waters QuanLynx software was used. Each described sample was prepared in triplicate and analyzed at least three times.
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9

Quantification of DON and ZEN in Cultures

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UPLC–MS/MS was used for the analysis and determination of DON and ZEN. The methods for extraction, clean-up and determination of DON and ZEN from the cultures was based on previously published work [9 (link)] with slight modifications. Briefly, 5 mL culture filtrate was extracted with 20 mL of acetonitrile for 30 min using an automatic shaker. After centrifugation, 8 mL of the supernatant was passed through a MycoSep 226 Aflazon + multifunctional column (Romer Labs, Inc. Union, MO, USA) and 4 mL of the purified extract was evaporated to dryness under a stream of nitrogen. The residue was then dissolved in 1 mL of methanol–water (50/50, v/v), followed by filtering, and was subsequently used for analysis. Data acquisition and processing were performed using MassLynx v4.1 and Quanlynx (Waters, Milford, MA, USA).
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10

Quantitative Brain Metabolite Analysis

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Dissected brain tissue was snap frozen on dry ice and stored at −80°C until analysis. Brain regions were prepared according to the protocol for IDO activity in brain tissue. Samples were prepared by mixing 450 μg brain protein 1:2 (v/v) with methanol containing 2% acetic acid and then centrifuging the mixture at 12,000×g for 10 minutes at 4°C. Supernatants were filtered through a Phenomenex Phree Phospholipid extraction column and a 0.2 μm filter. The samples were then run on a Waters Acquity UPLC-MS/MS with a methanol/2% acetic acid mobile phase gradient on a 2 × 100−mm Waters BEH C18 column. The sample (5 μl) was injected with a total flow rate of 0.3 ml/min and a total run time of 4.5 minutes. Analytes were verified using two M+H parent-daughter transitions. Tryptophan parent m/z = 205.13 and daughter m/z = 118.03 and 146.07; kynurenic acid parent m/z = 190.07 and daughter m/z = 88.96 and 116.03; kynurenine parent m/z = 209.04 and daughter m/z = 94.02 and 146.03; 3-HK parent m/z = 224.98 and daughter m/z = 110.04 and 162.05. Concentrations were quantified using QuanLynx (Waters) software from serial dilutions of standards.
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