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Modelling mutational landscapes of human cancers in vitro

Experimental models that recapitulate mutational landscapes of human cancers are needed to decipher the rapidly expanding data on human somatic mutations. We demonstrate that mutation patterns in immortalised cell lines derived from primary murine embryonic fibroblasts (MEFs) exposed in vitro to car...

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Autores principales: Olivier, Magali, Weninger, Annette, Ardin, Maude, Huskova, Hana, Castells, Xavier, Vallée, Maxime P., McKay, James, Nedelko, Tatiana, Muehlbauer, Karl-Rudolf, Marusawa, Hiroyuki, Alexander, John, Hazelwood, Lee, Byrnes, Graham, Hollstein, Monica, Zavadil, Jiri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5259794/
https://www.ncbi.nlm.nih.gov/pubmed/24670820
http://dx.doi.org/10.1038/srep04482
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author Olivier, Magali
Weninger, Annette
Ardin, Maude
Huskova, Hana
Castells, Xavier
Vallée, Maxime P.
McKay, James
Nedelko, Tatiana
Muehlbauer, Karl-Rudolf
Marusawa, Hiroyuki
Alexander, John
Hazelwood, Lee
Byrnes, Graham
Hollstein, Monica
Zavadil, Jiri
author_facet Olivier, Magali
Weninger, Annette
Ardin, Maude
Huskova, Hana
Castells, Xavier
Vallée, Maxime P.
McKay, James
Nedelko, Tatiana
Muehlbauer, Karl-Rudolf
Marusawa, Hiroyuki
Alexander, John
Hazelwood, Lee
Byrnes, Graham
Hollstein, Monica
Zavadil, Jiri
author_sort Olivier, Magali
collection PubMed
description Experimental models that recapitulate mutational landscapes of human cancers are needed to decipher the rapidly expanding data on human somatic mutations. We demonstrate that mutation patterns in immortalised cell lines derived from primary murine embryonic fibroblasts (MEFs) exposed in vitro to carcinogens recapitulate key features of mutational signatures observed in human cancers. In experiments with several cancer-causing agents we obtained high genome-wide concordance between human tumour mutation data and in vitro data with respect to predominant substitution types, strand bias and sequence context. Moreover, we found signature mutations in well-studied human cancer driver genes. To explore endogenous mutagenesis, we used MEFs ectopically expressing activation-induced cytidine deaminase (AID) and observed an excess of AID signature mutations in immortalised cell lines compared to their non-transgenic counterparts. MEF immortalisation is thus a simple and powerful strategy for modelling cancer mutation landscapes that facilitates the interpretation of human tumour genome-wide sequencing data.
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spelling pubmed-52597942017-01-25 Modelling mutational landscapes of human cancers in vitro Olivier, Magali Weninger, Annette Ardin, Maude Huskova, Hana Castells, Xavier Vallée, Maxime P. McKay, James Nedelko, Tatiana Muehlbauer, Karl-Rudolf Marusawa, Hiroyuki Alexander, John Hazelwood, Lee Byrnes, Graham Hollstein, Monica Zavadil, Jiri Sci Rep Article Experimental models that recapitulate mutational landscapes of human cancers are needed to decipher the rapidly expanding data on human somatic mutations. We demonstrate that mutation patterns in immortalised cell lines derived from primary murine embryonic fibroblasts (MEFs) exposed in vitro to carcinogens recapitulate key features of mutational signatures observed in human cancers. In experiments with several cancer-causing agents we obtained high genome-wide concordance between human tumour mutation data and in vitro data with respect to predominant substitution types, strand bias and sequence context. Moreover, we found signature mutations in well-studied human cancer driver genes. To explore endogenous mutagenesis, we used MEFs ectopically expressing activation-induced cytidine deaminase (AID) and observed an excess of AID signature mutations in immortalised cell lines compared to their non-transgenic counterparts. MEF immortalisation is thus a simple and powerful strategy for modelling cancer mutation landscapes that facilitates the interpretation of human tumour genome-wide sequencing data. Nature Publishing Group 2014-03-27 /pmc/articles/PMC5259794/ /pubmed/24670820 http://dx.doi.org/10.1038/srep04482 Text en Copyright © 2014, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/
spellingShingle Article
Olivier, Magali
Weninger, Annette
Ardin, Maude
Huskova, Hana
Castells, Xavier
Vallée, Maxime P.
McKay, James
Nedelko, Tatiana
Muehlbauer, Karl-Rudolf
Marusawa, Hiroyuki
Alexander, John
Hazelwood, Lee
Byrnes, Graham
Hollstein, Monica
Zavadil, Jiri
Modelling mutational landscapes of human cancers in vitro
title Modelling mutational landscapes of human cancers in vitro
title_full Modelling mutational landscapes of human cancers in vitro
title_fullStr Modelling mutational landscapes of human cancers in vitro
title_full_unstemmed Modelling mutational landscapes of human cancers in vitro
title_short Modelling mutational landscapes of human cancers in vitro
title_sort modelling mutational landscapes of human cancers in vitro
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5259794/
https://www.ncbi.nlm.nih.gov/pubmed/24670820
http://dx.doi.org/10.1038/srep04482
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