Optimization of recombinant protein production by a fungal host.

摘要

The natural ability of filamentous fungi to synthesize, glycosylate, and secrete high levels of protein products has made them potentially attractive hosts for heterologous protein production. Advances in fungal genetics enabled the expression of several high value proteins in filamentous fungi. Particularly the genus, Aspergillus has proven to be potentially useful for the expression of eukaryotic gene products. This thesis pertains to the optimization of recombinant protein production by the fungal host, Aspergillus niger. The target recombinant protein of interest is hen's egg white lysozyme (HEWL). This protein encoded in the genome resulting in relatively stable gene construct; however, it is subject to extracellular protease attack.; The objective of the proposed research is the development and application of engineering methodology for the analysis and optimization of a fungal bioprocess for recombinant protein production. The underlying hypothesis is that a significant improvement of target protein productivity is achievable by using appropriate optimization techniques.; To accomplish this, during the first phase of this study a statistically based experimental method was used to systematically elucidate the effect of medium components (starch, peptone, ammonium sulfate, yeast extract, and CaCl2.2H2O) on hen's egg white lysozyme production by Aspergillus niger HEWL WT-13-16. A 25-1 fractional factorial design augmented with center points revealed that peptone, starch, and ammonium sulfate were the most significant factors, whereas the other medium components were not important within the levels tested. Then, the method of steepest ascent was employed to approach the proximity of optimum. This task was followed by a central composite design to develop a response surface for medium optimization. The optimum medium composition for lysozyme production was found to be: starch 34 gL-1 , peptone 34 gL-1, ammonium sulfate 11.9 gL -1, yeast extract 0.5 gL-1, and CaCl2.2H 2O 0.5 g L-1. This medium was projected to produce theoretically 212 mgL-1 lysozyme. Using this optimized medium, an experimentally observed maximum lysozyme concentration of 209 +/- 18 mgL-1 verified the applied methodology.; A second optimization approach was based on metabolic flux analysis (MFA). A comprehensive metabolic network comprising three intracellular compartments (cytoplasm, mitochondrion and peroxisome) was developed for Aspergillus niger. The metabolic flux network included carbohydrate and amino acid metabolism in both anabolic and catabolic reactions. According to experimental observations, the time course of fermentation was divided into five phases, each with unique physiological properties. The network was used to form a set of linear algebraic equations based on the stoichiometry of the reactions by assuming pseudo-steady state for intracellular metabolites. The metabolic flux model consists of 137 metabolites and 287 processes, of which 181 represent biochemical conversions and 106 represent transport processes between the different compartments and the extracellular environment. In addition, due to the physiological evidence some biochemical reactions considered to be active only in one direction. Linear programming was used for optimizing of the specific growth rate as the objective function in combination with 37 measured input and output fluxes of the key metabolites to evaluate corresponding intracellular flux distributions throughout the batch fermentations. The general applicability of the methodology was evaluated by establishing commonality to optimize recombinant HEWL production. The proposed model was able to predict correctly the specific growth rate, oxygen uptake rate, and carbon dioxide evolution rate with good precision. (Abstract shortened by UMI.)