Strategies for Functional Interrogation of Big Cancer Data Using Drosophila Cancer Models.

摘要: Rapid development of high throughput genome analysis technologies accompanied by significant reduction in costs has led to the accumulation an incredible amount data during last decade. The emergence big had a particularly impact biomedical research providing unprecedented, systems-level access many disease states including cancer, and created promising opportunities as well new challenges. Arguably, most challenge cancer currently faces is finding effective ways use improve our understanding molecular mechanisms underlying tumorigenesis developing therapies. Functional exploration these datasets testing predictions from computational approaches using experimental models interrogate their biological relevance key step towards achieving this goal. Given daunting scale complexity available, systems like Drosophila that allow large-scale functional studies complex genetic manipulations rapid, cost-effective manner will be particular importance for purpose. Findings exploratory can then used formulate more specific hypotheses explored mammalian models. Here, I discuss several strategies