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Xcalibur 3.0 quan browser

Manufactured by Thermo Fisher Scientific

The XCalibur 3.0 Quan Browser is a software application designed for the management and analysis of quantitative data generated by Thermo Fisher Scientific's mass spectrometry systems. The core function of the Quan Browser is to provide users with a graphical user interface for visualizing, processing, and reporting quantitative data from various analytical experiments.

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4 protocols using xcalibur 3.0 quan browser

1

Quantitative Analysis of NAD(H)

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Data analysis was conducted in XCalibur 3.0 Quan Browser and Tracefinder 4.1 (Thermo) and statistical analysis was conducted in Excel 2016 (Microsoft) and Graph Pad Prism 7 (GraphPad Software). Isotopologue enrichment was calculated as previously published.15 Statistical comparisons for tissue levels of NAD(H) were conducted by Mann Whitney (non-parametric) tests.
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2

Quantitative Analysis of Carbohydrate Consumption

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Independent 13C-tracer experiments, as described in “Metabolite monitoring and quantification,” confirmed that extracellular depletion of the substrates correlated with substrate consumption. The extracellular depletion of each carbohydrate substrate (three biological replicates) was determined throughout 24 h of cell growth. Culture aliquots were pelleted by centrifugation, and the supernatants were stored at −20°C until further analysis. According to previously reported LC methods for carbohydrate analysis (21 (link)), we applied an analytical method using LC-HRMS for monitoring the carbohydrate concentration in the extracellular solution. Peak identification and quantification of carbohydrate concentrations were conducted with Thermo Scientific Xcalibur 3.0 Quan Browser. Carbohydrate consumption rates (in millimoles per gram [dry weight] per hour) were obtained by combining the regression analyses of carbohydrate depletion over time with biomass growth rates (Table S2).
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3

Quantification of Extracellular Metabolites

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Aliquots of cell cultures were collected periodically throughout growth, filtered (Costar Spin-X 0.22-μm-pore-size filter), and stored at −20°C until liquid chromatography–high-resolution mass spectrometry (LC-HRMS) analysis. Concentrations of substrates and extracellular metabolites were determined from standards prepared from commercial chemicals (Millipore-Sigma, St. Louis, MO, or Fisher Scientific, Pittsburgh, PA). Extracellular samples were diluted to maintain concentrations within the standard range. Quantification of metabolite concentrations was conducted with a Thermo Scientific Xcalibur 3.0 Quan browser. Regression analysis on the substrate depletion and metabolite production over time was performed to determine consumption and secretion rates, respectively, normalized to biomass growth. Biomass yield (YX/S) was determined from the linear fit of the substrate concentration and gCDW determined from sample aliquots corresponding to the same time point throughout exponential growth.
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4

Isotopologue Enrichment Data Analysis

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Data analysis was conducted in XCalibur 3.0 Quan Browser and Tracefinder 4.1 (Thermo) and statistical analysis was conducted in Excel 2016 (Microsoft) and Graph Pad Prism 7 (GraphPad Software). The area under the curves (AUCs) were calculated for peak integration with a 5 parts per million (ppm) mass window. Isotopologue enrichment was calculated as previously reported.9 (link)
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