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Qual browser

Manufactured by Thermo Fisher Scientific
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The Qual Browser is a software tool designed for analyzing qualitative data. It provides a user-friendly interface for managing and exploring qualitative datasets, such as interview transcripts, focus group recordings, and open-ended survey responses. The Qual Browser facilitates the organization, coding, and analysis of qualitative data, enabling researchers and analysts to identify patterns, themes, and insights from their data.

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39 protocols using qual browser

1

Comprehensive Proteomic PTM Characterization

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High-resolution data were manually inspected using Qual Browser (Thermo Fisher Scientific) software for all masses, at abundances of 0.1% or above relative to the most abundant form, corresponding to N-terminal peptides and identified. All PTM identifications were confirmed by mass accuracy and MS/MS. Masses that agreed to within 5 ppm of the theoretical mass were further analyzed to determine their relative abundance with respect to all other modifications and combinations of modifications. Relative abundance information for each peptide species was determined by taking the area under the curve of the selected ion chromatogram for the most abundant isotope for every charge state present utilizing a 10-ppm mass window and by comparing it with the sum of the areas for every modified form of the given peptide [49 (link)]. For all species found in the high resolution analyses, CAD/ETD MS/MS data were manually interpreted for sequence validation and PTM localization.
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2

Identification of Glycopeptide Structures

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Byonic software (Protein Metrics, Cupertino, CA) was used for the identification of summary formulas of peptide -glycosylation. Independent search was performed on the data with different collision energy settings. All spectra of identified glycopeptides were checked manually for the presence of structure-specific fragments and quantitative information was extracted using Qualbrowser (Thermo) and Peakview (Sciex) software.
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3

Glycopeptide Identification and Quantification

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Byonic software (Protein Metric) was used for the identification of summary formulas of peptide-glycosylation. Independent searching was performed on the data with different collision energy settings as described recently (21 (link)). All spectra of identified glycopeptides were checked manually for the presence of structure-specific fragments and quantitative information was extracted using Qualbrowser (Thermo) and Peakview (Sciex) software. In addition, retention behavior of each occupied glycopeptide (glycosite) was confirmed by analysis of PNGase F deglycosylated sample under 18O water as we described (20 (link)). Site occupancy was determined from the sum of areas of identified glycopeptides and area of non-glycosylated peptide. Mass spectrometry data have been deposited to the jPOSTrepo Repository Database with the data set identifier PXD020307, URL: https://repository.jpostdb.org/preview/15279256515f0883e28b4fb, Access Key: 6595.
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4

Metabolomic Data Normalization and Analysis

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For compounds discussed, the area under the curve (AUC) of the compound of interest was manually obtained through integration in Thermo FreeStyle and Qual Browser. Normalization to wild type (N2) was achieved by dividing the AUC of the compound of interest by the AUC of ascr#3, as detected in the exo-metabolome in ESI- ionization. The P values for metabolomics data were calculated via unpaired t tests with Welch correction.
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5

Trypsin-Chymotrypsin Digestion for Proteomic Analysis

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The reaction mixture of in vitro methyltransferase assay was subjected to SDS-PAGE, and the bands on the gel were visualized by SimplyBlue™ SafeStain (Thermo Fisher Scientific). The bands corresponding to SUV39H2 were excised from the gel, and digested with sequencing grade TPCK-trypsin (Worthington Biochemical, Lakewood, NJ) and TPCK-chymotrypsin (Worthington Biochemical) in 30 μL of digestion buffer (10 mM Tris-HCl, 0.05% decyl glucoside, pH 8.0) at 37°C for 12 hours. The digest mixture was separated using a nanoflow LC (Easy nLC, Thermo Fisher Scientific) on an NTCC analytical column (C18, Φ0.075 × 100 mm, 3 μm, Nikkyo Technos, Tokyo, Japan) with a linear gradient of 35% buffer B (100% acetonitrile and 0.1% formic acid) at a flow rate of 300 nL/min over 10 min, and subjected on-line to a Q-Exactive mass spectrometer (Thermo Fisher Scientific) with a nanospray ion source using data dependent TOP10 method. The MS/MS spectra were searched against the in-house database using local MASCOT server (version 2.5; Matrix Sciences, London, UK). The quantitative analysis using Qual Browser (version2.2; Thermo Fisher Scientific) was performed as described previously [46 ]. The coverage ratio of this LC-MS/MS analysis was 90.6% (Supplementary Figure S2).
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6

LSD1 Methyltransferase Assay and Proteomic Analysis

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The reaction mixture of in vitro methyltransferase assay was subjected to SDS-PAGE, and the bands on the gel were visualized by SimplyBlueTM SafeStain (Life Technologies, Carlsbad, CA). The bands corresponding to LSD1 were excised from the gel, and digested with sequencing grade TPCK-trypsin (Worthington Biochemical, Lakewood, NJ) in 30 μL of digestion buffer (10 mM Tris-HCl, 0.05% decyl glucoside, pH 8.0) at 37°C for 12 h. The digest mixture was separated using a nanoflow LC (Easy nLC, Thermo Fisher Scientific, Waltham, MA) on an NTCC analytical column (C18, Φ0.075 × 100 mm, 3 μm, Nikkyo Technos, Tokyo, Japan) with a linear gradient of 35% buffer B (100% acetonitrile and 0.1% formic acid) at a flow rate of 300 nL/min over 10 min, and subjected on-line to a Q-Exactive mass spectrometer (Thermo Fisher Scientific) with a nanospray ion source using data dependent TOP10 method. The MS/MS spectra were searched against the in-house database using local MASCOT server (version 2.3; Matrix Sciences, London, United Kingdom). The quantitative analysis using Qual Browser (version2.2; Thermo Fisher Scientific) was performed as described previously [7 ].
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7

Non-Reduced Lys-C Mapping of mAb and ADC

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A low pH (pH 6.0) non-reduced lysyl endoproteinase Lys-C mapping technique was applied to mAb and ADC samples. The digested samples were acidified with TFA then analyzed by LC/MS on a Thermo LTQ Orbitrap XL coupled to an The Agilent 1260 HPLC. Peptides were separated over an XBridge, BEH130 C18 column (3.5 μm particle sizes, 2.1 mm × 150 mm, Waters PN: 186,003,023) maintained at 60 °C with a flow rate of 0.2 mL/min. Mobile phases A and B consisted of 0.05% TFA in water and 0.05% TFA in acetonitrile, respectively. Peptides were eluted from the column using a gradient designed to recover the expected non-reduced peptides and hydrophobic: 3.0–25.0% B in 22 min, 25.0–34.0% B in 9 min, and 34.0–71.0% B in 37 min. The mass spectrometer utilized internal lock mass ion of hexakis(1H,1H,3H-perfluoropropoxy)phosphazene at m/z 922.009798 for [M + H +]1 + via dynamic calibration. Theoretical molecular masses for peptides were calculated using Bruker Sequence Editor. The observed multiply-charged peptides were converted to neutral molecular masses using Xtract, a software component of Thermo Qualbrowser. Neutral, monoisotopic masses were reported for all peptides observed in the LC/MS data and UV absorbance was monitored at 214 nm.
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8

LC-MS Analysis of Small Molecules

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LC-MS analysis was performed using an ESI-Orbitrap mass spectrometer (Exactive, Thermo Fisher Scientific, Waltham, MA, USA) coupled to a 1200 series HPLC (Chromolith® Performance RP-18e 100–4.6 mm, Agilent Technologies, Santa Clara, CA, USA). A 20 min linear gradient from 100% water (+0.05% TFA) to 100% acetonitrile (+0.05% TFA) was used. The mass range was between 100 and 400 m/z. For MS peak integration, the software implemented in the mass analyzer was used (Qual Browser, Thermo Scientific, Waltham, MA, USA).
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9

Quantitative Mass Spectrometry Analysis of Nerve Agent Exposure

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MS1 and MS2 spectra were stored on the instrument as data was collected. Instrument data sets were initially analyzed using Thermo Scientific QualBrowser version 3.1.66.10 using a mass range filter set to search for characteristic phosphate adducted BChE nonapeptide product ions (m/z 778.3366, m/z 673.2940 and m/z 602.2569) with a 10 ppm tolerance. Final analysis was conducted with the TraceFinder 3.2 software (ThermoFisher Scientific, Waltham, MA) set to screening mode. In this mode, the software can identify high mass accuracy product ions and precursor ions from both QC materials and unknowns. For data analysis of QC materials, a compound library was created based on precursor and product ion masses of those found in GB-inhibited pooled plasma, fully aged GB-inhibited pooled plasma, and uninhibited plasma. Data gathered on unknowns was first analyzed using QualBrowser as described above. Precursor ions identified were used to build custom libraries for unknown samples and analyzed in the blinded study. High resolution masses of unknowns and QC materials are exported from TraceFinder as a Microsoft Excel file for statistical analysis.
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10

Characterizing Trastuzumab Device Performance

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The quantitative performance of the device was assessed by loading varying amounts of trastuzumab into the SampleStream module in 100 μL in triplicate starting with the lowest concentration and analyzed with the denaturing method described above. Between each injection, an injection of water was recorded. Detector response for both analytical and carryover injections was estimated by applying a mass range filter to the data selecting all peaks from m/z 1,600 to 4,000. The area of the resultant peak in the extracted ion chromatogram was determined by software integration using Qual Browser (Thermo Fisher Scientific).
For the characterization of elution volume, 500 ng of trastuzumab was loaded in 10 μL then eluted with different flow rates. Extracted ion chromatograms were used to determine the peak volume at the full width half-maximum of the peak.
Concentration enrichment was assessed by loading 500 ng of trastuzumab in various volumes. The area of extracted ion chromatograms were determined by software integration.
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