Before revision: Classical stochastic modelsof protein production usually do not consider several phenomena within the cell such as cell volume growth, cell division or gene replication , furthermore concentrations of RNA-polymerases and ribosomesare in general assumed to be constant. In this paper we study the effects induced by all these different aspects on protein variability. Starting from the classical two-stage protein production model, we successively integrate the volume growth, the random partition of compounds at division, the gene replication and the sharing of RNA-polymerases and ribosomes for the production of all types of proteins. Experimental measures are used to determine the numerical values of the parameters of our models. We are then able to investigate the impact of these different phenomena on the variability of a large class of proteins  .
After revision: Classical stochastic modelsof protein production usually do not consider several phenomena within the cell such as cell volume growth, cell division , gene replication as well as fuctuations of available RNA polymerases and ribosomes. These phenomena are indeed rarely considered in classic models of protein production and no relative quantitative comparison among them has been performed. The parameters for a large and representative class of proteins .