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Compound discoverer 2.1 sp1

Manufactured by Thermo Fisher Scientific
Sourced in United States

The Compound Discoverer 2.1 SP1 is a software tool for data processing and analysis of small molecule compounds. It is designed to help researchers identify and characterize unknown compounds from mass spectrometry data.

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6 protocols using compound discoverer 2.1 sp1

1

Comprehensive Metabolite Identification Workflow

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Metabolite assignments, isotopologue distributions, and correction for expected natural abundances of deuterium, 13C, and 15N isotopes were performed using MAVEN (Princeton, NJ, USA) [57 (link)], against an in house library of deuterated lipid standards (SPLASH LIPIDOMIX Mass Spec Standard, Avanti Lipids) and in house libraries of 3,000 unlabeled (MSMLS, IROATech, Bolton, MA, USA; IroaTech; product A2574 by ApexBio; standard compounds for central carbon and nitrogen pathways from SIGMA Aldrich, St Louis, MO, USA) and labeled standards (see below for the latter). Untargeted lipidomics analyses were performed with the software LipidSearch (Thermo Fisher, Bremen, Germany). Results from LipidSearch were exported as a library and additional discovery mode analyses were performed with standard workflows using Compound Discoverer 2.1 SP1 (Thermo Fisher Scientific, San Jose, CA). From these analyses, metabolite IDs or unique chemical formulae were determined from high-resolution accurate intact mass, isotopic patterns, identification of eventual adducts (e.g., Na+ or K+, etc.) and MS2 fragmentation spectra against the KEGG pathway, HMDB, ChEBI, and ChEMBL databases.
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2

Untargeted Metabolomics Data Processing

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Orbitrap data was processed using Compound Discoverer 2.1 SP1 (Thermo-Fisher Scientific, Waltham, MA, USA). The processing flow ‘Untargeted Metabolomics Workflow’ was utilized. The following general settings were used for the workflow: mass tolerance = 5 ppm, intensity threshold = 30%, S/N threshold = 3, minimum peak intensity = 1 × 106, maximum element counts = 100 × C, 200 × H, 10 × N, 100 × O, 10 × S and 10 × P. The following settings were used for the peak detection: filter peaks = true, maximum peak width = 0.5 min, remove singlets = true, minimum # scans per peak = 5 and minimum # isotopes = 1. ChemSpider and KEGG databases were used for the identification. In addition, we used SciFinder Scholar database (American Chemical Society, CAS, Columbus, OH, USA) with substance role Occurrence and highest number of references to scale down possible compound hits.
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3

Metabolite Identification and Isotopologue Analysis

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Metabolite assignments, isotopologue distributions, and correction for expected natural abundances of deuterium, 13C, and 15N isotopes were performed using MAVEN (Princeton, NJ, USA) [47 (link)], against an in house library of deuterated lipid standards (SPLASH LIPIDOMIX Mass Spec Standard, Avanti Lipids) and in house libraries of 3,000 unlabeled (MSMLS, IROATech, Bolton, MA, USA; IroaTech; product A2574 by ApexBio; standard compounds for central carbon and nitrogen pathways from SIGMA Aldrich, St Louis, MO, USA) and labeled standards (see below for the latter). Untargeted lipidomics analyses were performed with the software LipidSearch (Thermo Fisher, Bremen, Germany). Results from LipidSearch were exported as a library and additional discovery mode analyses were performed with standard workflows using Compound Discoverer 2.1 SP1 (Thermo Fisher Scientific, San Jose, CA). From these analyses, metabolite IDs or unique chemical formulae were determined from high-resolution accurate intact mass, isotopic patterns, identification of eventual adducts (e.g., Na+ or K+, etc.) and MS2 fragmentation spectra against the KEGG pathway, HMDB, ChEBI, and ChEMBL databases.
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4

Metabolomic Analysis of B. thailandensis

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B. thailandensis Pbur and B. thailandensis Pbur burG::Kan were independently grown in 300 ml baffled Erlenmeyer flasks filled with 100 ml of MM9 medium that had been supplemented with either tetracycline (45 μg ml−1) or tetracycline (45 μg ml−1) plus kanamycin (150 μg ml−1) at 30 °C with orbital shaking for 24 h. Subsequently, the cells were harvested from a 50 ml aliquot by centrifugation (8,000g, for 15 min). The resulting cell pellet was resuspended in 25 ml methanol, sonicated and subsequently incubated for 60 min at room temperature. The centrifugation and extraction steps were repeated a second time and both obtained fractions were combined and concentrated in vacuo to yield crude extracts. These extracts were dissolved in 4 ml of methanol, and 100 µl of the resulting solution was then diluted with 200 µl methanol and filtered through a PTFE syringe filter. Subsequently the extracts were subjected to LC-HRMS analysis for a metabolomics analysis using the software Compound Discoverer 2.1 SP1 (Thermo Fisher Scientific). Both genotypes were analysed using a metabolomics workflow with and without a pattern scoring node to filter for sulfur-containing metabolites. The obtained metabolic profiles were compared using differential analysis.
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5

Comprehensive Metabolite Identification Pipeline

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Metabolite assignments, isotopologue distributions, and correction for expected natural abundances of deuterium, 13C, and 15N isotopes were performed using MAVEN (Princeton, NJ, USA),78 against an in house library of deuterated lipid standards (SPLASH® LIPIDOMIX® Mass Spec Standard, Avanti Lipids) and in house libraries of 3,000 unlabeled (MSMLS, IROATech, Bolton, MA, USA; IroaTech ; product A2574 by ApexBio; standard compounds for central carbon and nitrogen pathways from SIGMA Aldrich, St Louis, MO, USA) and labeled standards (see below for the latter). Discovery mode analysis was performed with standard workflows using Compound Discoverer 2.1 SP1 (Thermo Fisher Scientific, San Jose, CA). From these analyses, metabolite IDs or unique chemical formulae were determined from high-resolution accurate intact mass, isotopic patterns, identification of eventual adducts (e.g., Na + or K+, etc.) and MS2 (link) fragmentation spectra against the KEGG pathway, HMDB, ChEBI, and ChEMBL databases. Additional untargeted lipidomics analyses were performed with the software LipidSearch (Thermo Fisher, Bremen, Germany).
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6

High-Resolution Orbitrap LCMS Biopharma Analysis

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The High resolution Orbitrap liquid chromatography mass spectrometer (OHR-LCMS) analysis of the extract was done at Sophisticated Analytical Instrument Facility (SAIF), IIT Bombay. OHR-LCMS analysis was performed using the instrument Q-Exactive Plus Biopharma. Thermo Scientific Data Acquisition Software used for the analysis involved Thermo Scientific Xcalibur, Version 4.2.28.14 and Data Processing Software used was Compound Discoverer 2.1 SP1 and Column details included Hypersil Gold 3 micron 100 x 2.1 MM (Thermo Scientific) with Solvent A: 0.1% formic acid in Milli-Q water and Solvent B: Methanol.
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