Quantitative Translation of the Cancer Genome to Proteome

Quantitative Effects of Translational Regulation on the Human Proteome

Ribosome profiling, the deep sequencing of mRNA fragments protected by actively translating ribosomes, has proven to be a powerful strategy to directly measure translational regulation. We recently published the first study to incorporate ribosome profiling with quantitative changes in protein abundance over a time course (Wiita et al., eLife (2013)). Currently we are working to develop a novel quantitative statistical model of protein translation based on simultaneous ribosome profiling and pulse-chase metabolic labeling mass spectrometry. We aim to apply this model to both cancer and non-cancer settings to develop a generalizable prediction of protein synthesis rates based on deep sequencing data. Such models are critical to elucidating this fundamental process central to biology.