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High-Speed Tracer Analysis of Metabolism (HS-TrAM)
Tracing the fate of stable isotopically-enriched nutrients is a sophisticated method of describing and quantifying the activity of metabolic pathways. Nuclear Magnetic Resonance (NMR) spectroscopy offers high resolution data in terms of resolving metabolic pathway utilisation. Despite this, NMR spec...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5811808/ https://www.ncbi.nlm.nih.gov/pubmed/29503875 http://dx.doi.org/10.12688/wellcomeopenres.13387.2 |
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author | Smith, Thomas Brendan Patel, Kamlesh Munford, Haydn Peet, Andrew Tennant, Daniel A. Jeeves, Mark Ludwig, Christian |
author_facet | Smith, Thomas Brendan Patel, Kamlesh Munford, Haydn Peet, Andrew Tennant, Daniel A. Jeeves, Mark Ludwig, Christian |
author_sort | Smith, Thomas Brendan |
collection | PubMed |
description | Tracing the fate of stable isotopically-enriched nutrients is a sophisticated method of describing and quantifying the activity of metabolic pathways. Nuclear Magnetic Resonance (NMR) spectroscopy offers high resolution data in terms of resolving metabolic pathway utilisation. Despite this, NMR spectroscopy is under-utilised due to length of time required to collect the data, quantification requiring multiple samples and complicated analysis. Here we present two techniques, quantitative spectral filters and enhancement of the splitting of (13)C signals due to homonuclear (13)C, (13)C or heteronuclear (13)C, (15)N J-coupling in (1)H, (13)C-HSQC NMR spectra. Together, these allow the rapid collection of NMR spectroscopy data in a quantitative manner on a single sample. The reduced duration of HSQC spectra data acquisition opens up the possibility of real-time tracing of metabolism including the study of metabolic pathways in vivo. We show how these techniques can be used to trace the fate of labelled nutrients in a whole organ model of kidney preservation prior to transplantation using a porcine kidney as a model organ. In addition, we show how the use of multiple nutrients, differentially labelled with (13)C and (15)N, can be used to provide additional information with which to profile metabolic pathways. |
format | Online Article Text |
id | pubmed-5811808 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-58118082018-03-01 High-Speed Tracer Analysis of Metabolism (HS-TrAM) Smith, Thomas Brendan Patel, Kamlesh Munford, Haydn Peet, Andrew Tennant, Daniel A. Jeeves, Mark Ludwig, Christian Wellcome Open Res Method Article Tracing the fate of stable isotopically-enriched nutrients is a sophisticated method of describing and quantifying the activity of metabolic pathways. Nuclear Magnetic Resonance (NMR) spectroscopy offers high resolution data in terms of resolving metabolic pathway utilisation. Despite this, NMR spectroscopy is under-utilised due to length of time required to collect the data, quantification requiring multiple samples and complicated analysis. Here we present two techniques, quantitative spectral filters and enhancement of the splitting of (13)C signals due to homonuclear (13)C, (13)C or heteronuclear (13)C, (15)N J-coupling in (1)H, (13)C-HSQC NMR spectra. Together, these allow the rapid collection of NMR spectroscopy data in a quantitative manner on a single sample. The reduced duration of HSQC spectra data acquisition opens up the possibility of real-time tracing of metabolism including the study of metabolic pathways in vivo. We show how these techniques can be used to trace the fate of labelled nutrients in a whole organ model of kidney preservation prior to transplantation using a porcine kidney as a model organ. In addition, we show how the use of multiple nutrients, differentially labelled with (13)C and (15)N, can be used to provide additional information with which to profile metabolic pathways. F1000 Research Limited 2018-08-22 /pmc/articles/PMC5811808/ /pubmed/29503875 http://dx.doi.org/10.12688/wellcomeopenres.13387.2 Text en Copyright: © 2018 Smith TB et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Method Article Smith, Thomas Brendan Patel, Kamlesh Munford, Haydn Peet, Andrew Tennant, Daniel A. Jeeves, Mark Ludwig, Christian High-Speed Tracer Analysis of Metabolism (HS-TrAM) |
title | High-Speed Tracer Analysis of Metabolism (HS-TrAM) |
title_full | High-Speed Tracer Analysis of Metabolism (HS-TrAM) |
title_fullStr | High-Speed Tracer Analysis of Metabolism (HS-TrAM) |
title_full_unstemmed | High-Speed Tracer Analysis of Metabolism (HS-TrAM) |
title_short | High-Speed Tracer Analysis of Metabolism (HS-TrAM) |
title_sort | high-speed tracer analysis of metabolism (hs-tram) |
topic | Method Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5811808/ https://www.ncbi.nlm.nih.gov/pubmed/29503875 http://dx.doi.org/10.12688/wellcomeopenres.13387.2 |
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