The proteome is sculpted by post-transcriptional forces. A significant portion of protein variance cannot be explained by transcript levels. This non-correlation is best observed in dynamic systems: while an abundant transcript generally produces a more abundant protein over a ow-abundance transcript (high correlation across genes), transcript fold-changes upon stimuli poorly predict those of proteins (low correlation across samples). Some RNA-protein decoupling is traceable to physical constraints or buffering but a majority is due to the many layers of post-transcriptional and post-translational regulations that modify protein levels, including transcript splicing, stability, and translation rates (post-transcriptional) as well as protein localization, modifications, and degradation (post-translational). Because proteins are the primary effector molecules in biology, knowledge into the mechanisms that control protein levels carries fundamental significance to diverse areas of studies.