Regulation analysis by combining the information obtained from the mRNA expression, protein expression and metabolic fluxes

摘要

In the post genome era, a challenge is to relate linear sequence information to nonlinear cellular phenotypes. The analyses of mRNA and protein expression are not sufficient for the description of the cellular phenotype, since they do not provide direct information about the cellular metabolism and physiology that are fundamental to the cells' behavior. Since metabolic flux analysis provides a detailed description of the cellular physiology, this method, in combination with the gene expression analysis at the transcript and protein levels, can be used to analyze the complex genotype-phenotype relationship of biological systems. In this work, we analyzed the gene expression patterns at both the mRNA and protein levels for Synechocystis grown underautotrophic, mixotrophic and heterotrophic conditions. Moreover, we quantified the intracelhilar metabolic fluxes in Synechocystis under different trophic conditions. By combining the information obtained from the transcript levels, protein abundance andmetabolic fluxes, the regulatory mechanisms of some enzymes in the central metabolism involved in the different trophic cultures of Synechocystis were analyzed.