Daniel A Pollard

The paper examines how codon bias and mRNA folding strength interact to affect protein expression in yeast using genomic, transcriptomic, and proteomic data.

The paper shows that protein timecourses in yeast can be predicted from mRNA trajectories using a gene-specific model, revealing strain-specific differences in post-translational processes.

The paper examines how genetic variation affects protein expression dynamics during pheromone response in yeast, showing that steady-state analysis is insufficient and that dynamic factors like synthesis and decay rates play key roles.