There is a need for improved appreciation of the importance of genome-wide mRNA and protein expression measurements and their role in understanding translation and in relation to genome-wide mathematical frameworks for gene expression regulation. We investigated the use of a high-density microarray technique for mRNA expression analysis and a two-dimensional protein electrophoresistandem mass spectrometry method for protein analysis to monitor changes in gene expression. We applied these analytical tools in the context of an environmental perturbation of Escherichia coli cells-the addition of varying amounts of IPTG. We also tested the application of these tools to the study of a genetic perturbation of Escherichia coli cells-the ability of certain strains to hypersecrete the hemolysin protein. We observed a lack of correspondence between mRNA and protein expression profiles. Although our data do not include measurements on all expressed genes (because the ability to measure protein expression profiles is limiting), we observed that the qualitative and quantitative behavior of the measurements of a subset of expressed genes is similar to the behavior of the entire system. The change in observed average mRNA and protein amplification factors for 77 and 52 genes coincided with the observed change in mRNA amplification factor for the entire system. Furthermore, we found that relative changes in expression could be used to elucidate mechanisms of gene expression regulation for the system studied, even when measurements were made on a small subset of the system.

The large body of knowledge about Escherichia coli makes it a useful model organism for the expression of heterologous proteins. Proteomic studies have helped to elucidate the complex cellular responses of E. coli and facilitated its use in a variety of biotechnology applications. Knowledge of basic cellular processes provides the means for better control of heterologous protein expression. Beyond such important applications, E. coli is an ideal organism for testing new analytical technologies because of the extensive knowledge base available about the organism. For example, improved technology for characterization of unknown proteins using mass spectrometry has made two-dimensional electrophoresis (2DE) studies more useful and more rewarding, and much of the initial testing of novel protocols is based on well-studied samples derived from E. coli. These techniques have facilitated the construction of more accurate 2DE maps. In this review, we present work that led to the 2DE databases, including a new map based on tandem time-of-flight (TOF) mass spectrometry (MS); describe cellular responses relevant to biotechnology applications; and discuss some emerging proteomic techniques. B

Escherichia coli is a common host for recombinant protein production for biotechnology applications. Secretion to the extracellular media has the potential to reduce protein aggregation and to simplify downstream purification. However, the complexity of the mechanisms of protein secretion has confounded prior attempts to engineer enhanced secretion phenotypes. Here, mutagenesis was used to perturb E. coli W3110 cells secreting HlyA via a Type I pathway. An activity assay identified a mutant secreting fourfold more active alpha-hemolysin than the parent strain. The mutant was characterized using both high-density microarrays for mRNA profiling and a proteomics strategy for protein expression. The relative mRNA and protein expression levels of tRNA-synthetases were decreased in the mutant compared to the parent. A mathematical model of prokaryotic translation was used to design a variant of the hlyA gene that encodes the same amino acid sequence but uses rare codons to slow the rate of translation by altering five bases. Analysis of the parent strain transformed with a plasmid containing this variant gene resulted in the recovery of, and further improvement upon, the selected hypersecretion phenotype. These results present one of the first successful metabolic engineering attempts based on molecular information provided by mRNA and protein expression profiling approaches and resulting in a phenotype useful to the biotechnology community.