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A framework for tracer-based metabolism in mammalian cells by NMR
Metabolism changes extensively during the normal proliferation and differentiation of mammalian cells, and in cancer and inflammatory diseases. Since changes in the metabolic network reflect interactions between genetic, epigenetic and environmental changes, it is helpful to study the flow of label...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6385278/ https://www.ncbi.nlm.nih.gov/pubmed/30792403 http://dx.doi.org/10.1038/s41598-018-37525-3 |
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author | Saborano, Raquel Eraslan, Zuhal Roberts, Jennie Khanim, Farhat L. Lalor, Patricia F. Reed, Michelle A. C. Günther, Ulrich L. |
author_facet | Saborano, Raquel Eraslan, Zuhal Roberts, Jennie Khanim, Farhat L. Lalor, Patricia F. Reed, Michelle A. C. Günther, Ulrich L. |
author_sort | Saborano, Raquel |
collection | PubMed |
description | Metabolism changes extensively during the normal proliferation and differentiation of mammalian cells, and in cancer and inflammatory diseases. Since changes in the metabolic network reflect interactions between genetic, epigenetic and environmental changes, it is helpful to study the flow of label from isotopically labelled precursors into other metabolites rather than static metabolite levels. For this Nuclear Magnetic Resonance (NMR) spectroscopy is an attractive technique as it can quantify site-specific label incorporation. However, for applications using human cells and cell lines, the challenge is to optimize the process to maximize sensitivity and reproducibility. Here we present a new framework to analyze metabolism in mammalian cell lines and primary cells, covering the workflow from the preparation of cells to the acquisition and analysis of NMR spectra. We have applied this new approach in hematological and liver cancer cell lines and confirm the feasibility of tracer-based metabolism in primary liver cells. |
format | Online Article Text |
id | pubmed-6385278 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-63852782019-02-26 A framework for tracer-based metabolism in mammalian cells by NMR Saborano, Raquel Eraslan, Zuhal Roberts, Jennie Khanim, Farhat L. Lalor, Patricia F. Reed, Michelle A. C. Günther, Ulrich L. Sci Rep Article Metabolism changes extensively during the normal proliferation and differentiation of mammalian cells, and in cancer and inflammatory diseases. Since changes in the metabolic network reflect interactions between genetic, epigenetic and environmental changes, it is helpful to study the flow of label from isotopically labelled precursors into other metabolites rather than static metabolite levels. For this Nuclear Magnetic Resonance (NMR) spectroscopy is an attractive technique as it can quantify site-specific label incorporation. However, for applications using human cells and cell lines, the challenge is to optimize the process to maximize sensitivity and reproducibility. Here we present a new framework to analyze metabolism in mammalian cell lines and primary cells, covering the workflow from the preparation of cells to the acquisition and analysis of NMR spectra. We have applied this new approach in hematological and liver cancer cell lines and confirm the feasibility of tracer-based metabolism in primary liver cells. Nature Publishing Group UK 2019-02-21 /pmc/articles/PMC6385278/ /pubmed/30792403 http://dx.doi.org/10.1038/s41598-018-37525-3 Text en © The Author(s) 2019 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Saborano, Raquel Eraslan, Zuhal Roberts, Jennie Khanim, Farhat L. Lalor, Patricia F. Reed, Michelle A. C. Günther, Ulrich L. A framework for tracer-based metabolism in mammalian cells by NMR |
title | A framework for tracer-based metabolism in mammalian cells by NMR |
title_full | A framework for tracer-based metabolism in mammalian cells by NMR |
title_fullStr | A framework for tracer-based metabolism in mammalian cells by NMR |
title_full_unstemmed | A framework for tracer-based metabolism in mammalian cells by NMR |
title_short | A framework for tracer-based metabolism in mammalian cells by NMR |
title_sort | framework for tracer-based metabolism in mammalian cells by nmr |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6385278/ https://www.ncbi.nlm.nih.gov/pubmed/30792403 http://dx.doi.org/10.1038/s41598-018-37525-3 |
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