Integrative modelling of tumour DNA methylation quantifies the contribution of metabolism

Altered DNA methylation is a feature of cancer and between-patient variability is prevalent. Here, the authors integrate data on thousands of human tumours, and find that expression levels of methionine metabolism genes are predictive of methylation features, and that the breakdown of this relations...

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Autores principales:	Mahya Mehrmohamadi, Lucas K. Mentch, Andrew G. Clark, Jason W. Locasale
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2016
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/102b2e6f459e45a7a7d09cd07fb3d589
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spelling	oai:doaj.org-article:102b2e6f459e45a7a7d09cd07fb3d5892021-12-02T15:34:30ZIntegrative modelling of tumour DNA methylation quantifies the contribution of metabolism10.1038/ncomms136662041-1723https://doaj.org/article/102b2e6f459e45a7a7d09cd07fb3d5892016-12-01T00:00:00Zhttps://doi.org/10.1038/ncomms13666https://doaj.org/toc/2041-1723Altered DNA methylation is a feature of cancer and between-patient variability is prevalent. Here, the authors integrate data on thousands of human tumours, and find that expression levels of methionine metabolism genes are predictive of methylation features, and that the breakdown of this relationship is a negative prognostic marker.Mahya MehrmohamadiLucas K. MentchAndrew G. ClarkJason W. LocasaleNature PortfolioarticleScienceQENNature Communications, Vol 7, Iss 1, Pp 1-13 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Mahya Mehrmohamadi Lucas K. Mentch Andrew G. Clark Jason W. Locasale Integrative modelling of tumour DNA methylation quantifies the contribution of metabolism
description	Altered DNA methylation is a feature of cancer and between-patient variability is prevalent. Here, the authors integrate data on thousands of human tumours, and find that expression levels of methionine metabolism genes are predictive of methylation features, and that the breakdown of this relationship is a negative prognostic marker.
format	article
author	Mahya Mehrmohamadi Lucas K. Mentch Andrew G. Clark Jason W. Locasale
author_facet	Mahya Mehrmohamadi Lucas K. Mentch Andrew G. Clark Jason W. Locasale
author_sort	Mahya Mehrmohamadi
title	Integrative modelling of tumour DNA methylation quantifies the contribution of metabolism
title_short	Integrative modelling of tumour DNA methylation quantifies the contribution of metabolism
title_full	Integrative modelling of tumour DNA methylation quantifies the contribution of metabolism
title_fullStr	Integrative modelling of tumour DNA methylation quantifies the contribution of metabolism
title_full_unstemmed	Integrative modelling of tumour DNA methylation quantifies the contribution of metabolism
title_sort	integrative modelling of tumour dna methylation quantifies the contribution of metabolism
publisher	Nature Portfolio
publishDate	2016
url	https://doaj.org/article/102b2e6f459e45a7a7d09cd07fb3d589
work_keys_str_mv	AT mahyamehrmohamadi integrativemodellingoftumourdnamethylationquantifiesthecontributionofmetabolism AT lucaskmentch integrativemodellingoftumourdnamethylationquantifiesthecontributionofmetabolism AT andrewgclark integrativemodellingoftumourdnamethylationquantifiesthecontributionofmetabolism AT jasonwlocasale integrativemodellingoftumourdnamethylationquantifiesthecontributionofmetabolism
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Integrative modelling of tumour DNA methylation quantifies the contribution of metabolism

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