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HR-MAS NMR Based Quantitative Metabolomics in Breast Cancer
High resolution magic-angle spinning (HR-MAS) nuclear magnetic resonance (NMR) spectroscopy is increasingly used for profiling of breast cancer tissue, delivering quantitative information for approximately 40 metabolites. One unique advantage of the method is that it can be used to analyse intact ti...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6410210/ https://www.ncbi.nlm.nih.gov/pubmed/30678289 http://dx.doi.org/10.3390/metabo9020019 |
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author | Gogiashvili, Mikheil Nowacki, Jessica Hergenröder, Roland Hengstler, Jan G. Lambert, Jörg Edlund, Karolina |
author_facet | Gogiashvili, Mikheil Nowacki, Jessica Hergenröder, Roland Hengstler, Jan G. Lambert, Jörg Edlund, Karolina |
author_sort | Gogiashvili, Mikheil |
collection | PubMed |
description | High resolution magic-angle spinning (HR-MAS) nuclear magnetic resonance (NMR) spectroscopy is increasingly used for profiling of breast cancer tissue, delivering quantitative information for approximately 40 metabolites. One unique advantage of the method is that it can be used to analyse intact tissue, thereby requiring only minimal sample preparation. Importantly, since the method is non-destructive, it allows further investigations of the same specimen using for instance transcriptomics. Here, we discuss technical aspects critical for a successful analysis—including sample handling, measurement conditions, pulse sequences for one- and two dimensional analysis, and quantification methods—and summarize available studies, with a focus on significant associations of metabolite levels with clinically relevant parameters. |
format | Online Article Text |
id | pubmed-6410210 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-64102102019-03-22 HR-MAS NMR Based Quantitative Metabolomics in Breast Cancer Gogiashvili, Mikheil Nowacki, Jessica Hergenröder, Roland Hengstler, Jan G. Lambert, Jörg Edlund, Karolina Metabolites Review High resolution magic-angle spinning (HR-MAS) nuclear magnetic resonance (NMR) spectroscopy is increasingly used for profiling of breast cancer tissue, delivering quantitative information for approximately 40 metabolites. One unique advantage of the method is that it can be used to analyse intact tissue, thereby requiring only minimal sample preparation. Importantly, since the method is non-destructive, it allows further investigations of the same specimen using for instance transcriptomics. Here, we discuss technical aspects critical for a successful analysis—including sample handling, measurement conditions, pulse sequences for one- and two dimensional analysis, and quantification methods—and summarize available studies, with a focus on significant associations of metabolite levels with clinically relevant parameters. MDPI 2019-01-22 /pmc/articles/PMC6410210/ /pubmed/30678289 http://dx.doi.org/10.3390/metabo9020019 Text en © 2019 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 | Review Gogiashvili, Mikheil Nowacki, Jessica Hergenröder, Roland Hengstler, Jan G. Lambert, Jörg Edlund, Karolina HR-MAS NMR Based Quantitative Metabolomics in Breast Cancer |
title | HR-MAS NMR Based Quantitative Metabolomics in Breast Cancer |
title_full | HR-MAS NMR Based Quantitative Metabolomics in Breast Cancer |
title_fullStr | HR-MAS NMR Based Quantitative Metabolomics in Breast Cancer |
title_full_unstemmed | HR-MAS NMR Based Quantitative Metabolomics in Breast Cancer |
title_short | HR-MAS NMR Based Quantitative Metabolomics in Breast Cancer |
title_sort | hr-mas nmr based quantitative metabolomics in breast cancer |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6410210/ https://www.ncbi.nlm.nih.gov/pubmed/30678289 http://dx.doi.org/10.3390/metabo9020019 |
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