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A pipeline for making (31)P NMR accessible for small- and large-scale lipidomics studies

Detailed molecular analysis is of increasing importance in research into the regulation of biochemical pathways, organismal growth and disease. Lipidomics in particular is increasingly sought after as it provides insight into molecular species involved in energy storage, signalling and fundamental c...

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Autores principales: Furse, Samuel, Williams, Huw E. L., Watkins, Adam J., Virtue, Samuel, Vidal-Puig, Antonio, Amarsi, Risha, Charalambous, Marika, Koulman, Albert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318958/
https://www.ncbi.nlm.nih.gov/pubmed/34254158
http://dx.doi.org/10.1007/s00216-021-03430-4
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author Furse, Samuel
Williams, Huw E. L.
Watkins, Adam J.
Virtue, Samuel
Vidal-Puig, Antonio
Amarsi, Risha
Charalambous, Marika
Koulman, Albert
author_facet Furse, Samuel
Williams, Huw E. L.
Watkins, Adam J.
Virtue, Samuel
Vidal-Puig, Antonio
Amarsi, Risha
Charalambous, Marika
Koulman, Albert
author_sort Furse, Samuel
collection PubMed
description Detailed molecular analysis is of increasing importance in research into the regulation of biochemical pathways, organismal growth and disease. Lipidomics in particular is increasingly sought after as it provides insight into molecular species involved in energy storage, signalling and fundamental cellular structures. This has led to the use of a range of tools and techniques to acquire lipidomics data. (31)P NMR for lipidomics offers well-resolved head group/lipid class analysis, structural data that can be used to inform and strengthen interpretation of mass spectrometry data and part of a priori structural determination. In the present study, we codify the use of (31)P NMR for lipidomics studies to make the technique more accessible to new users and more useful for a wider range of questions. The technique can be used in isolation (phospholipidomics) or as a part of determining lipid composition (lipidomics). We describe the process from sample extraction to data processing and analysis. This pipeline is important because it allows greater thoroughness in lipidomics studies and increases scope for answering scientific questions about lipid-containing systems. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00216-021-03430-4.
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spelling pubmed-83189582021-08-13 A pipeline for making (31)P NMR accessible for small- and large-scale lipidomics studies Furse, Samuel Williams, Huw E. L. Watkins, Adam J. Virtue, Samuel Vidal-Puig, Antonio Amarsi, Risha Charalambous, Marika Koulman, Albert Anal Bioanal Chem Research Paper Detailed molecular analysis is of increasing importance in research into the regulation of biochemical pathways, organismal growth and disease. Lipidomics in particular is increasingly sought after as it provides insight into molecular species involved in energy storage, signalling and fundamental cellular structures. This has led to the use of a range of tools and techniques to acquire lipidomics data. (31)P NMR for lipidomics offers well-resolved head group/lipid class analysis, structural data that can be used to inform and strengthen interpretation of mass spectrometry data and part of a priori structural determination. In the present study, we codify the use of (31)P NMR for lipidomics studies to make the technique more accessible to new users and more useful for a wider range of questions. The technique can be used in isolation (phospholipidomics) or as a part of determining lipid composition (lipidomics). We describe the process from sample extraction to data processing and analysis. This pipeline is important because it allows greater thoroughness in lipidomics studies and increases scope for answering scientific questions about lipid-containing systems. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00216-021-03430-4. Springer Berlin Heidelberg 2021-07-12 2021 /pmc/articles/PMC8318958/ /pubmed/34254158 http://dx.doi.org/10.1007/s00216-021-03430-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Paper
Furse, Samuel
Williams, Huw E. L.
Watkins, Adam J.
Virtue, Samuel
Vidal-Puig, Antonio
Amarsi, Risha
Charalambous, Marika
Koulman, Albert
A pipeline for making (31)P NMR accessible for small- and large-scale lipidomics studies
title A pipeline for making (31)P NMR accessible for small- and large-scale lipidomics studies
title_full A pipeline for making (31)P NMR accessible for small- and large-scale lipidomics studies
title_fullStr A pipeline for making (31)P NMR accessible for small- and large-scale lipidomics studies
title_full_unstemmed A pipeline for making (31)P NMR accessible for small- and large-scale lipidomics studies
title_short A pipeline for making (31)P NMR accessible for small- and large-scale lipidomics studies
title_sort pipeline for making (31)p nmr accessible for small- and large-scale lipidomics studies
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318958/
https://www.ncbi.nlm.nih.gov/pubmed/34254158
http://dx.doi.org/10.1007/s00216-021-03430-4
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