To achieve this goal we combine rigorous in vivo, biochemical, and computational approaches. In particular, we rely extensively on the generation and characterization of genetically engineered mouse models of human cancers, and part of our group is devoted to developing and optimizing new tools for in vivo somatic genome engineering (Maddalo et al.,Nature 2014, Vidigal and Ventura, Nature Communications, 2015 , Perez et al., Nature Biotechnology, 2017; Cook et al., Nature Communications 2017).
Our work on the miR-17~92 cluster and on the miR-34 family of miRNAs (Concepcion et al., PLoS Genetics, 2012) well illustrates the power of this approach (Ventura et al. Cell 2008, Mu et al. Genes Dev 2009, De Pontual et al., Nature Genet 2011, Concepcion et al., PLoS Genetics, 2012, Han et al, Nature Genetics, 2015).