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A biochemical comparison of the lung, colonic, brain, renal, and ovarian cancer cell lines using (1)H-NMR spectroscopy

Cancer cell lines are often used for cancer research. However, continuous genetic instability-induced heterogeneity of cell lines can hinder the reproducibility of cancer research. Molecular profiling approaches including transcriptomics, chromatin modification profiling, and proteomics are used to...

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Autores principales: Hu, Cong, Liu, Zhigang, Zhao, Hailin, Wu, Lingzhi, Lian, Qingquan, Ma, Daqing, Li, Jia V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7198042/
https://www.ncbi.nlm.nih.gov/pubmed/32266944
http://dx.doi.org/10.1042/BSR20194027
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author Hu, Cong
Liu, Zhigang
Zhao, Hailin
Wu, Lingzhi
Lian, Qingquan
Ma, Daqing
Li, Jia V.
author_facet Hu, Cong
Liu, Zhigang
Zhao, Hailin
Wu, Lingzhi
Lian, Qingquan
Ma, Daqing
Li, Jia V.
author_sort Hu, Cong
collection PubMed
description Cancer cell lines are often used for cancer research. However, continuous genetic instability-induced heterogeneity of cell lines can hinder the reproducibility of cancer research. Molecular profiling approaches including transcriptomics, chromatin modification profiling, and proteomics are used to evaluate the phenotypic characteristics of cell lines. However, these do not reflect the metabolic function at the molecular level. Metabolic phenotyping is a powerful tool to profile the biochemical composition of cell lines. In the present study, (1)H-NMR spectroscopy-based metabolic phenotyping was used to detect metabolic differences among five cancer cell lines, namely, lung (A549), colonic (Caco2), brain (H4), renal (RCC), and ovarian (SKOV3) cancer cells. The concentrations of choline, creatine, lactate, alanine, fumarate and succinate varied remarkably among different cell types. The significantly higher intracellular concentrations of glutathione, myo-inositol, and phosphocholine were found in the SKOV3 cell line relative to other cell lines. The concentration of glutamate was higher in both SKOV3 and RCC cells compared with other cell lines. For cell culture media analysis, isopropanol was found to be the highest in RCC media, followed by A549 and SKOV3 media, while acetone was the highest in A549, followed by RCC and SKOV3. These results demonstrated that (1)H-NMR-based metabolic phenotyping approach allows us to characterize specific metabolic signatures of cancer cell lines and provides phenotypical information of cellular metabolism.
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spelling pubmed-71980422020-05-05 A biochemical comparison of the lung, colonic, brain, renal, and ovarian cancer cell lines using (1)H-NMR spectroscopy Hu, Cong Liu, Zhigang Zhao, Hailin Wu, Lingzhi Lian, Qingquan Ma, Daqing Li, Jia V. Biosci Rep Biochemical Techniques & Resources Cancer cell lines are often used for cancer research. However, continuous genetic instability-induced heterogeneity of cell lines can hinder the reproducibility of cancer research. Molecular profiling approaches including transcriptomics, chromatin modification profiling, and proteomics are used to evaluate the phenotypic characteristics of cell lines. However, these do not reflect the metabolic function at the molecular level. Metabolic phenotyping is a powerful tool to profile the biochemical composition of cell lines. In the present study, (1)H-NMR spectroscopy-based metabolic phenotyping was used to detect metabolic differences among five cancer cell lines, namely, lung (A549), colonic (Caco2), brain (H4), renal (RCC), and ovarian (SKOV3) cancer cells. The concentrations of choline, creatine, lactate, alanine, fumarate and succinate varied remarkably among different cell types. The significantly higher intracellular concentrations of glutathione, myo-inositol, and phosphocholine were found in the SKOV3 cell line relative to other cell lines. The concentration of glutamate was higher in both SKOV3 and RCC cells compared with other cell lines. For cell culture media analysis, isopropanol was found to be the highest in RCC media, followed by A549 and SKOV3 media, while acetone was the highest in A549, followed by RCC and SKOV3. These results demonstrated that (1)H-NMR-based metabolic phenotyping approach allows us to characterize specific metabolic signatures of cancer cell lines and provides phenotypical information of cellular metabolism. Portland Press Ltd. 2020-04-23 /pmc/articles/PMC7198042/ /pubmed/32266944 http://dx.doi.org/10.1042/BSR20194027 Text en © 2020 The Author(s). https://creativecommons.org/licenses/by/4.0/ This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY). Open access for this article was enabled by the participation of Imperial College London in an all-inclusive Read & Publish pilot with Portland Press and the Biochemical Society under a transformative agreement with JISC.
spellingShingle Biochemical Techniques & Resources
Hu, Cong
Liu, Zhigang
Zhao, Hailin
Wu, Lingzhi
Lian, Qingquan
Ma, Daqing
Li, Jia V.
A biochemical comparison of the lung, colonic, brain, renal, and ovarian cancer cell lines using (1)H-NMR spectroscopy
title A biochemical comparison of the lung, colonic, brain, renal, and ovarian cancer cell lines using (1)H-NMR spectroscopy
title_full A biochemical comparison of the lung, colonic, brain, renal, and ovarian cancer cell lines using (1)H-NMR spectroscopy
title_fullStr A biochemical comparison of the lung, colonic, brain, renal, and ovarian cancer cell lines using (1)H-NMR spectroscopy
title_full_unstemmed A biochemical comparison of the lung, colonic, brain, renal, and ovarian cancer cell lines using (1)H-NMR spectroscopy
title_short A biochemical comparison of the lung, colonic, brain, renal, and ovarian cancer cell lines using (1)H-NMR spectroscopy
title_sort biochemical comparison of the lung, colonic, brain, renal, and ovarian cancer cell lines using (1)h-nmr spectroscopy
topic Biochemical Techniques & Resources
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7198042/
https://www.ncbi.nlm.nih.gov/pubmed/32266944
http://dx.doi.org/10.1042/BSR20194027
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