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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| 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 1H 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. |
| doi_str_mv | 10.1371/journal.pone.0162917 |
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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 1H 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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0162917</identifier><identifier>PMID: 27631970</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Alanine ; Amino acids ; Animals ; Arginine ; Bioinformatics ; Biology and Life Sciences ; Cancer ; Cancer therapies ; Cancer treatment ; Cell culture ; Cell cycle ; Cell Line, Tumor ; Cellular stress response ; Chemotherapy ; Choline ; Collaboration ; Computer and Information Sciences ; Creatine ; Deoxyribonucleic acid ; Discriminant analysis ; DNA ; Gene expression ; Gluconeogenesis ; Glucose metabolism ; Glutamate ; Glycine ; Glycolysis ; Health aspects ; Ionizing radiation ; Laboratories ; Lactates ; Lactic acid ; Leucine ; Lung cancer ; Magnetic resonance ; Medical research ; Medical screening ; Medicine and Health Sciences ; Melanoma ; Melanoma, Experimental - metabolism ; Melanoma, Experimental - pathology ; Melanoma, Experimental - radiotherapy ; Metabolic pathways ; Metabolism ; Metabolites ; Metabolome ; Mice ; NMR ; Nuclear magnetic resonance ; Phosphates ; Phosphocreatine ; Physical Sciences ; Physiological aspects ; Principal Component Analysis ; Principal components analysis ; Radiation ; Radiation monitoring ; Radiation therapy ; Radiation tolerance ; Radiotherapy ; Research and Analysis Methods ; Target recognition ; Taurine ; Tumors</subject><ispartof>PloS one, 2016-09, Vol.11 (9), p.e0162917</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>2016 Wu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2016 Wu et al 2016 Wu et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c725t-39cc31dd49dfb0d48bdde797e23d6c03646cb8f9f3e6ee7b35544c3993a102663</citedby><cites>FETCH-LOGICAL-c725t-39cc31dd49dfb0d48bdde797e23d6c03646cb8f9f3e6ee7b35544c3993a102663</cites><orcidid>0000-0002-9388-6706</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5025142/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5025142/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79343,79344</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27631970$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wu, Lige</creatorcontrib><creatorcontrib>Hu, Zixi</creatorcontrib><creatorcontrib>Huang, Yingying</creatorcontrib><creatorcontrib>Yu, Yating</creatorcontrib><creatorcontrib>Liang, Wei</creatorcontrib><creatorcontrib>Zheng, Qinghui</creatorcontrib><creatorcontrib>Huang, Xianing</creatorcontrib><creatorcontrib>Huang, Yong</creatorcontrib><creatorcontrib>Lu, Xiaoling</creatorcontrib><creatorcontrib>Zhao, Yongxiang</creatorcontrib><title>Radiation Changes the Metabolic Profiling of Melanoma Cell Line B16</title><title>PloS one</title><addtitle>PLoS One</addtitle><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 1H 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.</description><subject>Alanine</subject><subject>Amino acids</subject><subject>Animals</subject><subject>Arginine</subject><subject>Bioinformatics</subject><subject>Biology and Life Sciences</subject><subject>Cancer</subject><subject>Cancer therapies</subject><subject>Cancer treatment</subject><subject>Cell culture</subject><subject>Cell cycle</subject><subject>Cell Line, Tumor</subject><subject>Cellular stress response</subject><subject>Chemotherapy</subject><subject>Choline</subject><subject>Collaboration</subject><subject>Computer and Information Sciences</subject><subject>Creatine</subject><subject>Deoxyribonucleic acid</subject><subject>Discriminant analysis</subject><subject>DNA</subject><subject>Gene expression</subject><subject>Gluconeogenesis</subject><subject>Glucose metabolism</subject><subject>Glutamate</subject><subject>Glycine</subject><subject>Glycolysis</subject><subject>Health aspects</subject><subject>Ionizing radiation</subject><subject>Laboratories</subject><subject>Lactates</subject><subject>Lactic acid</subject><subject>Leucine</subject><subject>Lung cancer</subject><subject>Magnetic resonance</subject><subject>Medical research</subject><subject>Medical screening</subject><subject>Medicine and Health Sciences</subject><subject>Melanoma</subject><subject>Melanoma, Experimental - metabolism</subject><subject>Melanoma, Experimental - pathology</subject><subject>Melanoma, Experimental - radiotherapy</subject><subject>Metabolic pathways</subject><subject>Metabolism</subject><subject>Metabolites</subject><subject>Metabolome</subject><subject>Mice</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Phosphates</subject><subject>Phosphocreatine</subject><subject>Physical Sciences</subject><subject>Physiological aspects</subject><subject>Principal Component Analysis</subject><subject>Principal components analysis</subject><subject>Radiation</subject><subject>Radiation monitoring</subject><subject>Radiation therapy</subject><subject>Radiation tolerance</subject><subject>Radiotherapy</subject><subject>Research and Analysis Methods</subject><subject>Target 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Changes the Metabolic Profiling of Melanoma Cell Line B16</title><author>Wu, Lige ; Hu, Zixi ; Huang, Yingying ; Yu, Yating ; Liang, Wei ; Zheng, Qinghui ; Huang, Xianing ; Huang, Yong ; Lu, Xiaoling ; Zhao, Yongxiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c725t-39cc31dd49dfb0d48bdde797e23d6c03646cb8f9f3e6ee7b35544c3993a102663</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Alanine</topic><topic>Amino acids</topic><topic>Animals</topic><topic>Arginine</topic><topic>Bioinformatics</topic><topic>Biology and Life Sciences</topic><topic>Cancer</topic><topic>Cancer therapies</topic><topic>Cancer treatment</topic><topic>Cell culture</topic><topic>Cell cycle</topic><topic>Cell Line, Tumor</topic><topic>Cellular stress response</topic><topic>Chemotherapy</topic><topic>Choline</topic><topic>Collaboration</topic><topic>Computer and Information 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resonance</topic><topic>Phosphates</topic><topic>Phosphocreatine</topic><topic>Physical Sciences</topic><topic>Physiological aspects</topic><topic>Principal Component Analysis</topic><topic>Principal components analysis</topic><topic>Radiation</topic><topic>Radiation monitoring</topic><topic>Radiation therapy</topic><topic>Radiation tolerance</topic><topic>Radiotherapy</topic><topic>Research and Analysis Methods</topic><topic>Target recognition</topic><topic>Taurine</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wu, Lige</creatorcontrib><creatorcontrib>Hu, Zixi</creatorcontrib><creatorcontrib>Huang, Yingying</creatorcontrib><creatorcontrib>Yu, Yating</creatorcontrib><creatorcontrib>Liang, Wei</creatorcontrib><creatorcontrib>Zheng, Qinghui</creatorcontrib><creatorcontrib>Huang, Xianing</creatorcontrib><creatorcontrib>Huang, Yong</creatorcontrib><creatorcontrib>Lu, Xiaoling</creatorcontrib><creatorcontrib>Zhao, 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Xiaoling</au><au>Zhao, Yongxiang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Radiation Changes the Metabolic Profiling of Melanoma Cell Line B16</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2016-09-15</date><risdate>2016</risdate><volume>11</volume><issue>9</issue><spage>e0162917</spage><pages>e0162917-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>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 1H 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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>27631970</pmid><doi>10.1371/journal.pone.0162917</doi><tpages>e0162917</tpages><orcidid>https://orcid.org/0000-0002-9388-6706</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | PloS one, 2016-09, Vol.11 (9), p.e0162917 |
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| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
| subjects | Alanine Amino acids Animals Arginine Bioinformatics Biology and Life Sciences Cancer Cancer therapies Cancer treatment Cell culture Cell cycle Cell Line, Tumor Cellular stress response Chemotherapy Choline Collaboration Computer and Information Sciences Creatine Deoxyribonucleic acid Discriminant analysis DNA Gene expression Gluconeogenesis Glucose metabolism Glutamate Glycine Glycolysis Health aspects Ionizing radiation Laboratories Lactates Lactic acid Leucine Lung cancer Magnetic resonance Medical research Medical screening Medicine and Health Sciences Melanoma Melanoma, Experimental - metabolism Melanoma, Experimental - pathology Melanoma, Experimental - radiotherapy Metabolic pathways Metabolism Metabolites Metabolome Mice NMR Nuclear magnetic resonance Phosphates Phosphocreatine Physical Sciences Physiological aspects Principal Component Analysis Principal components analysis Radiation Radiation monitoring Radiation therapy Radiation tolerance Radiotherapy Research and Analysis Methods Target recognition Taurine Tumors |
| title | Radiation Changes the Metabolic Profiling of Melanoma Cell Line B16 |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-04T01%3A38%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Radiation%20Changes%20the%20Metabolic%20Profiling%20of%20Melanoma%20Cell%20Line%20B16&rft.jtitle=PloS%20one&rft.au=Wu,%20Lige&rft.date=2016-09-15&rft.volume=11&rft.issue=9&rft.spage=e0162917&rft.pages=e0162917-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0162917&rft_dat=%3Cgale_plos_%3EA470941124%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1819907425&rft_id=info:pmid/27631970&rft_galeid=A470941124&rft_doaj_id=oai_doaj_org_article_211708b21d28497ba8f1869783789d89&rfr_iscdi=true |