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Metabolomics Benefits from Orbitrap GC–MS—Comparison of Low- and High-Resolution GC–MS

The development of improved mass spectrometers and supporting computational tools is expected to enable the rapid annotation of whole metabolomes. Essential for the progress is the identification of strengths and weaknesses of novel instrumentation in direct comparison to previous instruments. Orbit...

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Autores principales: Stettin, Daniel, Poulin, Remington X., Pohnert, Georg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7254393/
https://www.ncbi.nlm.nih.gov/pubmed/32260407
http://dx.doi.org/10.3390/metabo10040143
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author Stettin, Daniel
Poulin, Remington X.
Pohnert, Georg
author_facet Stettin, Daniel
Poulin, Remington X.
Pohnert, Georg
author_sort Stettin, Daniel
collection PubMed
description The development of improved mass spectrometers and supporting computational tools is expected to enable the rapid annotation of whole metabolomes. Essential for the progress is the identification of strengths and weaknesses of novel instrumentation in direct comparison to previous instruments. Orbitrap liquid chromatography (LC)–mass spectrometry (MS) technology is now widely in use, while Orbitrap gas chromatography (GC)–MS introduced in 2015 has remained fairly unexplored in its potential for metabolomics research. This study aims to evaluate the additional knowledge gained in a metabolomics experiment when using the high-resolution Orbitrap GC–MS in comparison to a commonly used unit-mass resolution single-quadrupole GC–MS. Samples from an osmotic stress treatment of a non-model organism, the microalga Skeletonema costatum, were investigated using comparative metabolomics with low- and high-resolution methods. Resulting datasets were compared on a statistical level and on the level of individual compound annotation. Both MS approaches resulted in successful classification of stressed vs. non-stressed microalgae but did so using different sets of significantly dysregulated metabolites. High-resolution data only slightly improved conventional library matching but enabled the correct annotation of an unknown. While computational support that utilizes high-resolution GC–MS data is still underdeveloped, clear benefits in terms of sensitivity, metabolic coverage, and support in structure elucidation of the Orbitrap GC–MS technology for metabolomics studies are shown here.
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spelling pubmed-72543932020-06-10 Metabolomics Benefits from Orbitrap GC–MS—Comparison of Low- and High-Resolution GC–MS Stettin, Daniel Poulin, Remington X. Pohnert, Georg Metabolites Article The development of improved mass spectrometers and supporting computational tools is expected to enable the rapid annotation of whole metabolomes. Essential for the progress is the identification of strengths and weaknesses of novel instrumentation in direct comparison to previous instruments. Orbitrap liquid chromatography (LC)–mass spectrometry (MS) technology is now widely in use, while Orbitrap gas chromatography (GC)–MS introduced in 2015 has remained fairly unexplored in its potential for metabolomics research. This study aims to evaluate the additional knowledge gained in a metabolomics experiment when using the high-resolution Orbitrap GC–MS in comparison to a commonly used unit-mass resolution single-quadrupole GC–MS. Samples from an osmotic stress treatment of a non-model organism, the microalga Skeletonema costatum, were investigated using comparative metabolomics with low- and high-resolution methods. Resulting datasets were compared on a statistical level and on the level of individual compound annotation. Both MS approaches resulted in successful classification of stressed vs. non-stressed microalgae but did so using different sets of significantly dysregulated metabolites. High-resolution data only slightly improved conventional library matching but enabled the correct annotation of an unknown. While computational support that utilizes high-resolution GC–MS data is still underdeveloped, clear benefits in terms of sensitivity, metabolic coverage, and support in structure elucidation of the Orbitrap GC–MS technology for metabolomics studies are shown here. MDPI 2020-04-04 /pmc/articles/PMC7254393/ /pubmed/32260407 http://dx.doi.org/10.3390/metabo10040143 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Stettin, Daniel
Poulin, Remington X.
Pohnert, Georg
Metabolomics Benefits from Orbitrap GC–MS—Comparison of Low- and High-Resolution GC–MS
title Metabolomics Benefits from Orbitrap GC–MS—Comparison of Low- and High-Resolution GC–MS
title_full Metabolomics Benefits from Orbitrap GC–MS—Comparison of Low- and High-Resolution GC–MS
title_fullStr Metabolomics Benefits from Orbitrap GC–MS—Comparison of Low- and High-Resolution GC–MS
title_full_unstemmed Metabolomics Benefits from Orbitrap GC–MS—Comparison of Low- and High-Resolution GC–MS
title_short Metabolomics Benefits from Orbitrap GC–MS—Comparison of Low- and High-Resolution GC–MS
title_sort metabolomics benefits from orbitrap gc–ms—comparison of low- and high-resolution gc–ms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7254393/
https://www.ncbi.nlm.nih.gov/pubmed/32260407
http://dx.doi.org/10.3390/metabo10040143
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