High-throughput discovery of disease mutations by in vivo deep mutational scanning
Supervisor: Dr Grzegorz Kudla
Understanding which mutations lead to disease is a central goal of modern biology and medicine. Deep mutational scanning is a new approach that combines synthetic biology, next generation sequencing and computational analysis to systematically measure the effects of all possible mutations in a selected gene. So far, deep mutational scanning experiments were typically conducted in tissue culture. In this project, we will perform deep mutational scanning of tumour suppressor genes in a mouse model of carcinogenesis, to explore the mechanisms of cancer formation in a physiological setting.