Print Email Facebook Twitter Analysis of tumor heterogeneity and cancer gene networks using deep sequencing of MMTV-induced mouse mammary tumors Title Analysis of tumor heterogeneity and cancer gene networks using deep sequencing of MMTV-induced mouse mammary tumors Author Klijn, C. Koudijs, M.J. Kool, J. Ten Hoeve, J. Boer, M. De Moes, J. Akhtar, W. Van Miltenburg, M. Vendel-Zwaagstra, A. Reinders, M.J.T. Adams, D.J. Van Lohuizen, M. Hilkens, J. Wessels, L.F.A. Jonkers, J. Faculty Electrical Engineering, Mathematics and Computer Science Department Computer Science Date 2013-05-14 Abstract Cancer develops through a multistep process in which normal cells progress to malignant tumors via the evolution of their genomes as a result of the acquisition of mutations in cancer driver genes. The number, identity and mode of action of cancer driver genes, and how they contribute to tumor evolution is largely unknown. This study deployed the Mouse Mammary Tumor Virus (MMTV) as an insertional mutagen to find both the driver genes and the networks in which they function. Using deep insertion site sequencing we identified around 31000 retroviral integration sites in 604 MMTV-induced mammary tumors from mice with mammary gland-specific deletion of Trp53, Pten heterozygous knockout mice, or wildtype strains. We identified 18 known common integration sites (CISs) and 12 previously unknown CISs marking new candidate cancer genes. Members of the Wnt, Fgf, Fgfr, Rspo and Pdgfr gene families were commonly mutated in a mutually exclusive fashion. The sequence data we generated yielded also information on the clonality of insertions in individual tumors, allowing us to develop a data-driven model of MMTV-induced tumor development. Insertional mutations near Wnt and Fgf genes mark the earliest ‘‘initiating’’ events in MMTV induced tumorigenesis, whereas Fgfr genes are targeted later during tumor progression. Our data shows that insertional mutagenesis can be used to discover the mutational networks, the timing of mutations, and the genes that initiate and drive tumor evolution. To reference this document use: http://resolver.tudelft.nl/uuid:04cecd5a-c418-47b0-bb77-3f810e39ca23 DOI https://doi.org/10.1371/journal.pone.0062113 Publisher Public Library of Science ISSN 1932-6203 Source http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0062113 Source Plos One, 8 (5), 2013 Part of collection Institutional Repository Document type journal article Rights (c) 2013 Klijn et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Files PDF klijnkoudijs.pdf 637.46 KB Close viewer /islandora/object/uuid:04cecd5a-c418-47b0-bb77-3f810e39ca23/datastream/OBJ/view