Cancer Mutations, Now With Faster Modeling

By sequencing the genomes of tumor cells, thousands of genetic mutations have been linked with cancer. Sifting through this deluge of information to figure out which of these mutations actually drive cancer growth has proven to be a tedious, time-consuming process but MIT researchers have now developed a new way to model the effects of these genetic mutations in mice. Their approach, based on the genome-editing technique clustered regularly interspaced short palindromic repeats (CRISPR) is much faster than existing strategies, which require genetically engineering mice that carry the cancerous mutations. read more

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