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Radiation Changes the Metabolic Profiling of Melanoma Cell Line B16

Radiation therapy can be an effective way to kill cancer cells using ionizing radiation, but some tumors are resistant to radiation therapy and the underlying mechanism still remains elusive. It is therefore necessary to establish an appropriate working model to study and monitor radiation-mediated...

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Autores principales: Wu, Lige, Hu, Zixi, Huang, Yingying, Yu, Yating, Liang, Wei, Zheng, Qinghui, Huang, Xianing, Huang, Yong, Lu, Xiaoling, Zhao, Yongxiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5025142/
https://www.ncbi.nlm.nih.gov/pubmed/27631970
http://dx.doi.org/10.1371/journal.pone.0162917
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author Wu, Lige
Hu, Zixi
Huang, Yingying
Yu, Yating
Liang, Wei
Zheng, Qinghui
Huang, Xianing
Huang, Yong
Lu, Xiaoling
Zhao, Yongxiang
author_facet Wu, Lige
Hu, Zixi
Huang, Yingying
Yu, Yating
Liang, Wei
Zheng, Qinghui
Huang, Xianing
Huang, Yong
Lu, Xiaoling
Zhao, Yongxiang
author_sort Wu, Lige
collection PubMed
description Radiation therapy can be an effective way to kill cancer cells using ionizing radiation, but some tumors are resistant to radiation therapy and the underlying mechanism still remains elusive. It is therefore necessary to establish an appropriate working model to study and monitor radiation-mediated cancer therapy. In response to cellular stress, the metabolome is the integrated profiling of changes in all metabolites in cells, which can be used to investigate radiation tolerance mechanisms and identify targets for cancer radiation sensibilization. In this study, using (1)H nuclear magnetic resonance for untargeted metabolic profiling in radiation-tolerant mouse melanoma cell line B16, we comprehensively investigated changes in metabolites and metabolic network in B16 cells in response to radiation. Principal component analysis and partial least squares discriminant analysis indicated the difference in cellular metabolites between the untreated cells and X-ray radiated cells. In radiated cells, the content of alanine, glutamate, glycine and choline was increased, while the content of leucine, lactate, creatine and creatine phosphate was decreased. Enrichment analysis of metabolic pathway showed that the changes in metabolites were related to multiple metabolic pathways including the metabolism of glycine, arginine, taurine, glycolysis, and gluconeogenesis. Taken together, with cellular metabolome study followed by bioinformatic analysis to profile specific metabolic pathways in response to radiation, we deepened our understanding of radiation-resistant mechanisms and radiation sensibilization in cancer, which may further provide a theoretical and practical basis for personalized cancer therapy.
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spelling pubmed-50251422016-09-27 Radiation Changes the Metabolic Profiling of Melanoma Cell Line B16 Wu, Lige Hu, Zixi Huang, Yingying Yu, Yating Liang, Wei Zheng, Qinghui Huang, Xianing Huang, Yong Lu, Xiaoling Zhao, Yongxiang PLoS One Research Article Radiation therapy can be an effective way to kill cancer cells using ionizing radiation, but some tumors are resistant to radiation therapy and the underlying mechanism still remains elusive. It is therefore necessary to establish an appropriate working model to study and monitor radiation-mediated cancer therapy. In response to cellular stress, the metabolome is the integrated profiling of changes in all metabolites in cells, which can be used to investigate radiation tolerance mechanisms and identify targets for cancer radiation sensibilization. In this study, using (1)H nuclear magnetic resonance for untargeted metabolic profiling in radiation-tolerant mouse melanoma cell line B16, we comprehensively investigated changes in metabolites and metabolic network in B16 cells in response to radiation. Principal component analysis and partial least squares discriminant analysis indicated the difference in cellular metabolites between the untreated cells and X-ray radiated cells. In radiated cells, the content of alanine, glutamate, glycine and choline was increased, while the content of leucine, lactate, creatine and creatine phosphate was decreased. Enrichment analysis of metabolic pathway showed that the changes in metabolites were related to multiple metabolic pathways including the metabolism of glycine, arginine, taurine, glycolysis, and gluconeogenesis. Taken together, with cellular metabolome study followed by bioinformatic analysis to profile specific metabolic pathways in response to radiation, we deepened our understanding of radiation-resistant mechanisms and radiation sensibilization in cancer, which may further provide a theoretical and practical basis for personalized cancer therapy. Public Library of Science 2016-09-15 /pmc/articles/PMC5025142/ /pubmed/27631970 http://dx.doi.org/10.1371/journal.pone.0162917 Text en © 2016 Wu et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Wu, Lige
Hu, Zixi
Huang, Yingying
Yu, Yating
Liang, Wei
Zheng, Qinghui
Huang, Xianing
Huang, Yong
Lu, Xiaoling
Zhao, Yongxiang
Radiation Changes the Metabolic Profiling of Melanoma Cell Line B16
title Radiation Changes the Metabolic Profiling of Melanoma Cell Line B16
title_full Radiation Changes the Metabolic Profiling of Melanoma Cell Line B16
title_fullStr Radiation Changes the Metabolic Profiling of Melanoma Cell Line B16
title_full_unstemmed Radiation Changes the Metabolic Profiling of Melanoma Cell Line B16
title_short Radiation Changes the Metabolic Profiling of Melanoma Cell Line B16
title_sort radiation changes the metabolic profiling of melanoma cell line b16
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5025142/
https://www.ncbi.nlm.nih.gov/pubmed/27631970
http://dx.doi.org/10.1371/journal.pone.0162917
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