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Xcalibur qual browser

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The Xcalibur Qual Browser is a software tool designed for the analysis and visualization of mass spectrometry data. It provides a user-friendly interface for reviewing and interpreting qualitative data acquired using Thermo Fisher Scientific mass spectrometry instruments.

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82 protocols using xcalibur qual browser

1

Metabolite Identification via LC-MS/MS

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The .RAW files from Q-exactive LC-MS/MS were analysed using Thermo Xcalibur Qual Browser for fragmentation data of the analytes of interest. These analytes were matched to fragmentation spectra based on m/z and RT matching between LC-MS and LC-MS/MS. The fragmentation data for all of these analytes were compared and matched to metabolites via Metlin's MS/MS metabolite database within a 12 ppm difference.
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2

Deconvolution and Quantification of nMS Spectra

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The nMS spectra were visualized using Thermo Xcalibur Qual Browser (versions 3.0.63 and 4.2.27), deconvolved using UniDec versions 3.2 and 4.1 (Marty et al., 2015 (link); Reid et al., 2019 (link)) and plotted using the m/z software (Proteometrics LLC, New York, NY). Experimental masses (Figure 1c) were reported as the average mass ± standard deviation across all the calculated mass values obtained within the observed charge state distribution.
The local resolution of the cryo-EM maps (Figure S4b) was estimated using blocres (Cardone et al., 2013 (link)) with the following parameters: box size 15, verbose 7, sampling 1.3, and cutoff 0.5. The quantification and statistical analyses for model refinement and validation were generated using MolProbity (Chen et al., 2010 (link)) and PHENIX (Adams et al., 2010 (link)).
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3

Quantifying Histone Post-Translational Modifications

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Histone peptides raw files were imported into EpiProfile 2.0 software (Yuan et al., 2018 (link)). From the extracted ion chromatogram, the area under the curve was obtained and used to estimate the abundance of each peptide. In order to achieve the relative abundance of post-translational modifications (PTMs), the sum of all different modified forms of a histone peptide was considered as 100% and the area of the particular peptide was divided by the total area for that histone peptide in all of its modified forms. The relative ratio of two isobaric forms was estimated by averaging the ratio for each fragment ion with different mass between the two species. The resulting peptide lists generated by EpiProfile were exported to Microsoft Excel and further processed for a detailed analysis. To assess the incorporation rate of the 13C3-Kpr in Kpr marks (in Figure 6E), we performed manual signal extraction using Xcalibur QualBrowser (Thermo) and the area under the curve was used as representative of the peptide abundance.
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4

LC-MS/MS Analysis of Biomolecular Profiles

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For LC-MS/MS analysis, the products were separated by 60 min gradient elution at a flow rate of 0.250 μL min–1 with a UltiMate™ 3000 RSLCnano system (Thermo Scientific) which was directly interfaced with a Thermo Q Exactive. The analytical column was a home-made fused silica capillary column (75 μm ID, 150 mm length; Upchurch, Oak Harbor, WA) packed with C-18 resin (300 Å, 5 μm, Varian, Lexington, MA). Mobile phase A consisted of 0.1% formic acid, and mobile phase B consisted of 100% acetonitrile and 0.1% formic acid. The Q Exactive mass spectrometer was operated in the data-dependent acquisition mode using Xcalibur 2.2.7 software and there was a single full-scan mass spectrum in the Orbitrap (400–1800 m/z, 30 000 resolution) followed by 20 data-dependent MS/MS scans in the ion trap at 35% normalized collision energy. Each mass spectrum was analyzed using a Thermo Xcalibur Qual Browser.
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5

Cardiac Metabolite Profiling by LC-MS/MS

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Heart powder was serially extracted in 80% methanol, evaporated under N2, and resuspended in 50% methanol. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis was essentially as previously described (Nadtochiy et al., 2015 (link)). Metabolites were resolved by HPLC (Shimadzu Prominence 20 System) and identified by single-reaction monitoring on a triple-quadrupole mass spectrometer (Thermo Quantum TSQ) (see the Supplemental Experimental Procedures for details). Data were analyzed using MzRock (https://code.google.com/archive/p/mzrock/). Selected metabolites were also analyzed using XCalibur Qual Browser (Thermo Scientific). Data were normalized to protein content.
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6

Validating AML1/ETO Splice Junction Peptide

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Tryptic peptide of the splice junction in AML1/ETO splice product was initially validated by manual inspection of chromatograms and MS1 spectra with theoretical m/z values of peptide candidates; m/z = 519.517 (z = 4) and m/z = 692.353 (z = 3)
Validated MS1 ions were further analyzed by “MS2 run only” mode to identify the splice junction peptide with the desired b- and y- ions. The LC-MS/MS experiment was performed with an Easy-nLC 1200 UPLC system employing a 45 cm × 75 μm (inner diameter) nano-capillary column packed with 1.9 μm C18-AQ resin (Dr. Maisch, Germany) mated to a metal emitter in-line with an Orbitrap Fusion Lumos (Thermo Scientific, USA). The column temperature was 45 °C, and a one-hour gradient method was run at a flow rate of 300 nL/min. The mass spectrometer was operated to scan MS2 from MS1 of the inclusion list with a 60,000 resolution (positive mode, profile mode, AGC target of 4 × 105, maximum IT of 118 ms) in the Orbitrap, followed by HCD fragmentation in the ion trap with 30% collision energy. The isolation window for precursor ions was set to 0.4 m/z in the quadrupole.
Raw files were processed with Thermo XCalibur Qual Browser, and MS2 peaks were manually annotated.
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7

Comprehensive Analysis of RAS Proteoforms

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Data were processed using Xcalibur QualBrowser (Thermo Fisher Scientific), ProSight Lite 1.4 (http://prosightlite.northwestern.edu/), ProSight PD 4.0 (Thermo Fisher Scientific), and TDValidator 1.0 (Proteinaceous) (68 (link), 69 ). For ProSight PD searches, a custom RAS proteoform sequence and PTM database was created with Protein Annotator (http://proteinannotator.kelleher.northwestern.edu/) and was deposited on MassIVE. RAS isoform sequences were downloaded from UniProt, and mutations, SNPs, and PTMs were manually annotated. Raw files were run through ProSight PD with subsequent manual validation by ProSight Light or TDValidator (70 (link)). Observed masses, error, and p-scores of completely characterized RAS proteoforms are reported in Table S5. The top two most abundant RAS proteoforms as determined by protein ion relative ratios and fragment ion relative ratios for Figure 4 were quantified by the method described in the study by Pesavento et al. (71 (link)). Fragment ion relative ratios were taken from 3 m/z isolation windows for the canonical forms of KRAS WT and mutant (Table S6). Incompletely characterized RAS proteoforms are reported in Table S7. Raw files and the custom ProSight PD database are deposited on MassIVE (MSV000088748). Proteoform record numbers can be searched in a database provided by the Consortium for Top–Down Proteomics.
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8

Quantitative Phosphoproteomics of Lens Proteins

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Mass spectra were analyzed using XCalibur Qual Browser version 2.0.7 (Thermo Fisher Scientific), and the area under the curve (AUC) was determined from extracted ion chromatograms (XIC) of endogenous (END) and AQUA internal standard (IS) phosphopeptides. A standard curve was produced from the analysis of AQUA phosphopeptides at various concentrations. These data were fit to a straight line using nonlinear regression in GraphPad Prism 5 Demo. The standard curve for each peptide is shown in Supplemental Fig. 1. The absolute quantity (AQ) of phosphorylation for specific sites on AQP0 and MP20 was determined using Equation (1) below (Brönstrup, 2004 (link); Gerber et al., 2003 (link)) and mapped as a function of normalized lens distance for young (n = 3) and aged (n = 3) lenses.
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9

Cardiac Metabolite Profiling by LC-MS/MS

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Heart powder was serially extracted in 80% methanol, evaporated under N2, and resuspended in 50% methanol. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis was essentially as previously described (Nadtochiy et al., 2015 (link)). Metabolites were resolved by HPLC (Shimadzu Prominence 20 System) and identified by single-reaction monitoring on a triple-quadrupole mass spectrometer (Thermo Quantum TSQ) (see the Supplemental Experimental Procedures for details). Data were analyzed using MzRock (https://code.google.com/archive/p/mzrock/). Selected metabolites were also analyzed using XCalibur Qual Browser (Thermo Scientific). Data were normalized to protein content.
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10

Mass Spectrometry Proteoform Quantification

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Mass spectra were processed using Xcalibur Qual Browser (v4.2 Thermo Fisher Scientific) and the Xtract algorithm (v3.0 Thermo Fisher Scientific) for deconvolution and deisotoping of spectras (mass mode MH+, mono isotopic masses extracted, 189-2000 mass range, signal to noise 3, fit factor 80%, Remainder 25%, averagine no sulfur, and max charge 17). The extracted deconvoluted spectra were then analyzed further using Xcalibur and the peak area of the extracted ion chromatogram (XIC) was determined for each proteoforms of interest (automatic processing, smoothing Gaussian 7 points, 500 mmu mass tolerance, mass precision 4 decimals). Proteoform quantification (XIC peak area) values were exported for further analysis in Microsoft Excel and GraphPad Prism.
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