Abstract
Fundamental advances in our understanding of the human cancer genome have been made over the last five years, driven largely by the development of next-generation sequencing (NGS) technologies. Here we will discuss the tools and technologies that have been used to profile human tumors, how they may be applied to the analysis of the mouse cancer genome, and the results thus far. In addition to mutations that disrupt cancer genes, NGS is also being applied to the analysis of the transcriptome of cancers, and, through the use of techniques such as ChIP-Seq, the protein-DNA landscape is also being revealed. Gaining a comprehensive picture of the mouse cancer genome, at the DNA level and through the analysis of the transcriptome and regulatory landscape, will allow us to "biofilter" for driver genes in more complex human cancers and represents a critical test to determine which mouse cancer models are faithful genetic surrogates of the human disease.
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