Optimization of oncogene expression through intra-population competition

Quantitative analysis of mammalian translation initiation sites by FACS-seq

An approach combining fluorescence-activated cell sorting and high-throughput DNA sequencing (FACS-seq) was employed to determine the efficiency of start codon recognition for all possible translation initiation sites (TIS) utilizing AUG start codons. Using FACS-seq, we measured translation from a genetic reporter library representing all 65,536 possible TIS sequences spanning the −6 to +5 positions. We found that the motif RYMRMVAUGGC enhanced start codon recognition and translation efficiency. However, dinucleotide interactions, which cannot be conveyed by a single motif, were also important for modeling TIS efficiency. Our dataset combined with modeling allowed us to predict genome-wide translation initiation efficiency for all mRNA transcripts. Additionally, we screened somatic TIS mutations associated with tumorigenesis to identify candidate driver mutations consistent with known tumor expression patterns. Finally, we implemented a quantitative leaky scanning model to predict alternative initiation sites that produce truncated protein isoforms and compared predictions with ribosome footprint profiling data. The comprehensive analysis of the TIS sequence space enables quantitative predictions of translation initiation based on genome sequence.

Engineering ribosomal leaky scanning and upstream open reading frames for precise control of protein translation

We have employed upstream open reading frames (uORFs) to systematically tune the translation levels of recombinant proteins. We present the design principles that guided the development of this technology and provide information that may help others in implementing synthetic uORFs for their own applications. We also report on recent applications to our own research projects, including the coupling of uORF and translation initiation site (TIS) engineering with small molecule-inducible post-translational control. Finally, we discuss opportunities to investigate and potentially engineer gene-specific translational responses to cellular stress.