Improving the production of recombinant L-Asparaginase-II in Escherichia coli by co-expressing catabolite repressor activator (cra) gene.

Identification of a single genetic target for microbial strain improvement is difficult due to the complexity of the genetic regulatory network. Hence, a more practical approach is to identify bottlenecks in the regulatory networks that control critical metabolic pathways. The present work focuses on enhancing cellular physiology by increasing the metabolic flux through the central carbon metabolic pathway. Global regulator cra (catabolite repressor activator), a DNA-binding transcriptional dual regulator was selected for the study as it controls the expression of a large number of operons that modulate central carbon metabolism. To upregulate the activity of central carbon metabolism, the cra gene was co-expressed using a plasmid-based system. Co-expression of cra led to a 17% increase in the production of model recombinant protein L-Asparaginase-II. A pulse addition of 0.36% of glycerol every two hours post-induction, further increased the production of L-Asparaginase-II by 35% as compared to the control strain expressing only recombinant protein. This work exemplifies that upregulating the activity of central carbon metabolism by tuning the expression of regulatory genes like cra can relieve the host from cellular stress and thereby promote the growth as well as expression of recombinant hosts.

Co-expressing Leucine Responsive Regulatory protein (Lrp) enhances recombinant L-Asparaginase-II production in Escherichia coli.

Over expression of recombinant proteins triggers a cellular stress response (CSR) that down-regulates numerous genes that have a key role in sustaining expression. Instead of trying to individually up-regulate these genes we hypothesized that a superior strategy would be to modulate the expression of global regulators that control the expression of many such downstream genes. Transcriptomic profiling of post induction cultures expressing recombinant asparaginase in Escherichia coli showed the down-regulation of several critical genes many of which were under the control of the global regulator lrp which is known to have a significant impact on both amino acid metabolism and protein translation. Therefore, to ameliorate the deleterious effects of the CSR we decided to supplement the activity of lrp using plasmid-based co-expression. We observed that the test culture containing an additional plasmid expressing lrp under the arabinose promoter gave a 50% higher yield of recombinant L-Asparaginase after 32 h in batch culture compared to the control, which had only one plasmid expressing the recombinant protein. This approach helped us design a better performing strain, which could sustain expression rates for a significantly longer time period. This work illustrates that modifying the expression of regulatory genes could serve as a better strategy to prevent the reprogramming of the cellular machinery which is the hallmark of the CSR and help in the design better hosts for recombinant protein expression.

Identifying genomic targets for protein over-expression by "omics" analysis of Quiescent Escherichia coli cultures.

BACKGROUND: A cellular stress response is triggered upon induction of recombinant protein expression which feedback inhibits both growth as well as protein synthesis. In order to separate these two effects, it was decided to study "quiescent cultures" which continue to be metabolically active and express recombinant proteins even after growth cessation. The idea was to identify and up-regulate genes which are responsible for protein synthesis in the absence of growth. This would ensure that, even if growth were adversely affected post induction, there would be no attendant reduction in the protein expression capability of the cells. This strategy allowed us to design host strains, which did not grow better post induction but had significantly higher levels of protein expression. RESULTS: A quiescent Escherichia coli culture, which is able to sustain recombinant protein expression in the absence of growth, was analyzed by transcriptomic and proteomic profiling. Many genes involved in carbon utilization, biosynthesis of building blocks and stress protection were found to be up-regulated in the quiescent phase. Analysis of the global regulators showed that fis, which tends to get down-regulated as the cells enter stationary phase, remained up-regulated throughout the non-growing quiescent phase. The downstream genes regulated by fis like carB, fadB, nrfA, narH and queA were also up-regulated in the quiescent phase which could be the reason behind the higher metabolic activity and protein expression ability of these non-growing cells. To test this hypothesis, we co-expressed fis in a control culture expressing recombinant L-asparaginase and observed a significantly higher buildup of L-asparaginase in the culture medium. CONCLUSIONS: This work represents an important breakthrough in the design of a superior host platform where a gene not directly associated with protein synthesis was used to generate a phenotype having higher protein expression capability. Many alternative gene targets were also identified which may have beneficial effects on expression ability.

Genome engineering for improved recombinant protein expression in Escherichia coli.

A metabolic engineering perspective which views recombinant protein expression as a multistep pathway allows us to move beyond vector design and identify the downstream rate limiting steps in expression. In E.coli these are typically at the translational level and the supply of precursors in the form of energy, amino acids and nucleotides. Further recombinant protein production triggers a global cellular stress response which feedback inhibits both growth and product formation. Countering this requires a system level analysis followed by a rational host cell engineering to sustain expression for longer time periods. Another strategy to increase protein yields could be to divert the metabolic flux away from biomass formation and towards recombinant protein production. This would require a growth stoppage mechanism which does not affect the metabolic activity of the cell or the transcriptional or translational efficiencies. Finally cells have to be designed for efficient export to prevent buildup of proteins inside the cytoplasm and also simplify downstream processing. The rational and the high throughput strategies that can be used for the construction of such improved host cell platforms for recombinant protein expression is the focus of this review.

Comparative transcriptomic profile analysis of fed-batch cultures expressing different recombinant proteins in Escherichia coli.

There is a need to elucidate the product specific features of the metabolic stress response of the host cell to the induction of recombinant protein synthesis. For this, the method of choice is transcriptomic profiling which provides a better insight into the changes taking place in complex global metabolic networks. The transcriptomic profiles of three fed-batch cultures expressing different proteins viz. recombinant human interferon-beta (rhIFN-ß), Xylanase and Green Fluorescence Protein (GFP) were compared post induction. We observed a depression in the nutrient uptake and utilization pathways, which was common for all the three expressed proteins. Thus glycerol transporters and genes involved in ATP synthesis as well as aerobic respiration were severely down-regulated. On the other hand the amino acid uptake and biosynthesis genes were significantly repressed only when soluble proteins were expressed under different promoters, but not when the product was expressed as an inclusion body (IB). High level expression under the T7 promoter (rhIFN-ß and xylanase) triggered the cellular degradation machinery like the osmoprotectants, proteases and mRNA degradation genes which were highly up-regulated, while this trend was not true with GFP expression under the comparatively weaker ara promoter. The design of a better host platform for recombinant protein production thus needs to take into account the specific nature of the cellular response to protein expression.