Induction without methanol: novel regulated promoters enable high-level expression in Pichia pastoris.

BACKGROUND: Inducible high-level expression is favoured for recombinant protein production in Pichia pastoris. Therefore, novel regulated promoters are desired, ideally repressing heterologous gene expression during initial growth and enabling it in the production phase. In a typical large scale fed-batch culture repression is desired during the batch phase where cells grow on a surplus of e.g. glycerol, while heterologous gene expression should be active in the feed phase under carbon (e.g. glucose) limitation. RESULTS: DNA microarray analysis of P. pastoris wild type cells growing in glycerol-based batch and glucose-based fed batch was used for the identification of genes with both, strong repression on glycerol and high-level expression in the feed phase. Six novel glucose-limit inducible promoters were successfully applied to express the intracellular reporter eGFP. The highest expression levels together with strong repression in pre-culture were achieved with the novel promoters P(G1) and P(G6). Human serum albumin (HSA) was used to characterize the promoters with an industrially relevant secreted protein. A P(G1) clone with two gene copies reached about 230% of the biomass specific HSA titer in glucose-based fed batch fermentation compared to a P(GAP) clone with identical gene copy number, while P(G6) only achieved 39%. Two clones each carrying eleven gene copies, expressing HSA under control of P(G1) and P(G6) respectively were generated by post-transformational vector amplification. They produced about 1.0 and 0.7 g L(-1) HSA respectively in equal fed batch processes. The suitability in production processes was also verified with HyHEL antibody Fab fragment for P(G1) and with porcine carboxypeptidase B for P(G6). Moreover, the molecular function of the gene under the control of P(G1) was determined to encode a high-affinity glucose transporter and named GTH1. CONCLUSIONS: A set of novel regulated promoters, enabling induction without methanol, was successfully identified by using DNA microarrays and shown to be suitable for high level expression of recombinant proteins in glucose-based protein production processes.

Efficient feeding profile optimization for recombinant protein production using physiological information.

A multivariate study was performed aiming at the optimization of a recombinant rhamnose inducible E. coli induction system with alkaline phosphatase as target product. The effects of typical factors with impact on post- as well as pre-induction feeding rates were investigated with respect to the space-time yield of the target product. The goal was increased understanding as well as quantitative characterization of these factors with respect to their physiological impact on the model system. The optical density (OD) at which the culture was induced had a strong positive effect on the space-time yield. Pre-induction growth rate (k) had a second-order effect, while induction feed rate drop (J), a factor defining the linear post-induction feed rate, was interacting with (k). However, explanation of the observed effects to acquire more understanding regarding their effect on cell metabolism was not straight forward. Hence, the original process parameters were transformed into physiological more meaningful parameters and served as the basis for a multivariate data analysis. The observed variance with respect to observed volumetric activity was fully explained by the specific substrate uptake rate (q (s)) and induction OD, merging the process parameters pre-induction growth rate (k) and feed rate drop (J) into the physiological parameter specific substrate uptake rate (q (s)). After transformation of the response volumetric activity (U/ml) into the biomass specific activity (U/g(biomass)), the observed variance was fully explained solely by the specific substrate uptake rate (q (s)). Due to physiological multivariate data analysis, the interpretation of the results was facilitated and factors were reduced. On the basis of the obtained results, it was concluded that the physiological parameter q (s) rather than process parameters (k, J, induction OD) should be used for process optimization with respect to the feeding profile.