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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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. |
format | Online Article Text |
id | pubmed-7254393 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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