Engineering the Secretory Pathway for Recombinant Protein Secretion in Saccharomyces cerevisiae

Doktorsavhandling, 2018

In the past few decades there has been an increasing demand of biopharmaceutical proteins in the market. Several types of cell factories are applied to produce different pharmaceutical proteins. However, manufacturers prefer to use a few favorable biological platforms to undertake the production tasks with low cost, high productivity and proper post-translational modifications. The yeast Saccharomyces cerevisiae is one of these preferred cell factories as it has many advantages. There are several reports on improvement of recombinant protein production by S. cerevisiae through rational engineering of different stages of the protein secretion pathway. In the first story of this thesis, we engineered protein anterograde trafficking by over-expression of SEC16 to increase the secretory capacity of yeast. We performed bioreactor fermentation to further characterize the engineered strains, and we analysis the reactive oxygen species accumulation, endoplasmic reticulum exit sites, the amount of endoplasmic reticulum membranes of the strains, etc. In the second story, we engineered the retrograde trafficking by over-expression of GLO3 and GCS1 to further increase the secretory capacity of yeast based on the strain constructed in the first story. Physiological changes in the engineered strains were analyzed. We also performed additional experiments to investigate the changes in the amount of endoplasmic reticulum membranes and reactive oxygen species accumulation. In the third story, we performed a systems level analysis of the high α-amylase production strains, which were screened from UV mutation in the previous study. We identified common regulation patterns and hereby we could specify some general rules for efficient protein secretion. Last, we reported an efficient yeast secretion assay platform for biomedical and biotechnological applications. This platform is responsive to secretory disturbances from both chemicals and proteins and is potentially applicable to drug screening and the selection of cell engineering targets for protein production.