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@ARTICLE{Olivier:120062,
      author       = {M. Olivier and A. Weninger$^*$ and M. Ardin and H. Huskova
                      and X. Castells and M. P. Vallée and J. McKay and T.
                      Nedelko$^*$ and K.-R. Mühlbauer$^*$ and H. Marusawa and J.
                      Alexander and L. Hazelwood and G. Byrnes and M.
                      Hollstein$^*$ and J. Zavadil},
      title        = {{M}odelling mutational landscapes of human cancers in
                      vitro.},
      journal      = {Scientific reports},
      volume       = {4},
      issn         = {2045-2322},
      address      = {London},
      publisher    = {Nature Publishing Group},
      reportid     = {DKFZ-2017-00649},
      pages        = {4482},
      year         = {2014},
      abstract     = {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.},
      cin          = {C016},
      ddc          = {000},
      cid          = {I:(DE-He78)C016-20160331},
      pnm          = {313 - Cancer risk factors and prevention (POF3-313)},
      pid          = {G:(DE-HGF)POF3-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:24670820},
      pmc          = {pmc:PMC5259794},
      doi          = {10.1038/srep04482},
      url          = {https://inrepo02.dkfz.de/record/120062},
}