Mammalian cells are important tools for bioprocessing applications and for investigating the mechanisms of cancer development. Although a close relation has been observed in these systems between cellular growth and the production of intracellular resources needed for transcription and translation, quantitative empirical relations are still lacking. Investigating the links among cell physiology, cell growth and the strategy of the internal partitioning of cell resources in mammalian cells, with both mathematical modeling and wet-lab experiments, will help to identify quantitative predictive laws. This will also aid the design of novel synthetic DNA constructs for biomedical and industrial applications.
