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High Throughput Semiquantitative UHPSFC–MS/MS Lipid Profiling and Lipid Class Determination

High throughput and high-resolution lipid analyses are important for many biological model systems and research questions. This comprises both monitoring at the individual lipid species level and broad lipid classes. Here, we present a nontarget semiquantitative lipidomics workflow based on ultrahig...

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Autores principales: Bartosova, Zdenka, Gonzalez, Susana Villa, Voigt, André, Bruheim, Per
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8217741/
https://www.ncbi.nlm.nih.gov/pubmed/33479755
http://dx.doi.org/10.1093/chromsci/bmaa121
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author Bartosova, Zdenka
Gonzalez, Susana Villa
Voigt, André
Bruheim, Per
author_facet Bartosova, Zdenka
Gonzalez, Susana Villa
Voigt, André
Bruheim, Per
author_sort Bartosova, Zdenka
collection PubMed
description High throughput and high-resolution lipid analyses are important for many biological model systems and research questions. This comprises both monitoring at the individual lipid species level and broad lipid classes. Here, we present a nontarget semiquantitative lipidomics workflow based on ultrahigh performance supercritical fluid chromatography (UHPSFC)-mass spectrometry (MS). The optimized chromatographic conditions enable the base-line separation of both nonpolar and polar classes in a single 7-minute run. Ionization efficiencies of lipid classes vary 10folds in magnitude and great care must be taken in a direct interpretation of raw data. Therefore, the inclusion of internal standards or experimentally determined Response factors (RF) are highly recommended for the conversion of raw abundances into (semi) quantitative data. We have deliberately developed an algorithm for automatic semiquantification of lipid classes by RF. The workflow was tested and validated using a bovine liver extract with satisfactory results. The RF corrected data provide a more representative relative lipid class determination, but also the interpretation of individual lipid species should be performed on RF corrected data. In addition, semiquantification can be improved by using internal or also external standards when more accurate quantitative data are of interest but this requires validation for all new sample types. The workflow established greatly extends the potential of nontarget UHPSFC–MS/MS based analysis.
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spelling pubmed-82177412021-06-22 High Throughput Semiquantitative UHPSFC–MS/MS Lipid Profiling and Lipid Class Determination Bartosova, Zdenka Gonzalez, Susana Villa Voigt, André Bruheim, Per J Chromatogr Sci Article High throughput and high-resolution lipid analyses are important for many biological model systems and research questions. This comprises both monitoring at the individual lipid species level and broad lipid classes. Here, we present a nontarget semiquantitative lipidomics workflow based on ultrahigh performance supercritical fluid chromatography (UHPSFC)-mass spectrometry (MS). The optimized chromatographic conditions enable the base-line separation of both nonpolar and polar classes in a single 7-minute run. Ionization efficiencies of lipid classes vary 10folds in magnitude and great care must be taken in a direct interpretation of raw data. Therefore, the inclusion of internal standards or experimentally determined Response factors (RF) are highly recommended for the conversion of raw abundances into (semi) quantitative data. We have deliberately developed an algorithm for automatic semiquantification of lipid classes by RF. The workflow was tested and validated using a bovine liver extract with satisfactory results. The RF corrected data provide a more representative relative lipid class determination, but also the interpretation of individual lipid species should be performed on RF corrected data. In addition, semiquantification can be improved by using internal or also external standards when more accurate quantitative data are of interest but this requires validation for all new sample types. The workflow established greatly extends the potential of nontarget UHPSFC–MS/MS based analysis. Oxford University Press 2021-01-22 /pmc/articles/PMC8217741/ /pubmed/33479755 http://dx.doi.org/10.1093/chromsci/bmaa121 Text en © The Author(s) 2021. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Article
Bartosova, Zdenka
Gonzalez, Susana Villa
Voigt, André
Bruheim, Per
High Throughput Semiquantitative UHPSFC–MS/MS Lipid Profiling and Lipid Class Determination
title High Throughput Semiquantitative UHPSFC–MS/MS Lipid Profiling and Lipid Class Determination
title_full High Throughput Semiquantitative UHPSFC–MS/MS Lipid Profiling and Lipid Class Determination
title_fullStr High Throughput Semiquantitative UHPSFC–MS/MS Lipid Profiling and Lipid Class Determination
title_full_unstemmed High Throughput Semiquantitative UHPSFC–MS/MS Lipid Profiling and Lipid Class Determination
title_short High Throughput Semiquantitative UHPSFC–MS/MS Lipid Profiling and Lipid Class Determination
title_sort high throughput semiquantitative uhpsfc–ms/ms lipid profiling and lipid class determination
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8217741/
https://www.ncbi.nlm.nih.gov/pubmed/33479755
http://dx.doi.org/10.1093/chromsci/bmaa121
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