Development and Optimization of Novel Platforms for the Production of Recombinant Proteins
Bibliographic record
Abstract
As the worldwide demand for recombinant proteins and valuable metabolites continues to grow, and as the biological toolset at our disposal continues to expand, the development of novel, robust, and effective platforms for the production of these bioproducts represents an area of ever-increasing interest. Although many such bioprocesses are currently economically viable, many more, though holding considerable promise, remain uncompetitive. The development of novel, more productive systems increases the versatility and industrial applications of bioprocesses. The work described in this thesis explores several aspects of bioprocessing, both on the upstream side, concerned with the development of novel recombinant protein expression platforms or the isolation of novel genes with products possessing characteristics of interest, and on the downstream side, through the improvement of fermentation-based bioprocesses. Thirty-six homoplasmic recombinant strains of the microalga Chlamydomonas reinhardtii were developed having integrated genes for phytase or xylanase under the control of psbA and psbD promoters, codon optimized using novel algorithms, at two different genetic loci, in chloroplasts, to be used as novel animal feed additives. Enzyme production was characterized, and results, when compared to other published work in this field, may provide insight into the factors impacting recombinant protein production in microalgae. Using a “bio-prospecting approach”, the microflora of the digestive tract of a Canadian beaver was screened for cellulase-producing microorganisms. Although the screening approach did successfully identify a novel β-glucosidase gene from an isolated strain of Bacillus thuringiensis, the sequence was not significantly different from those already characterized. Two bioprocessing studies were performed to improve recombinant protein production in Pichia pastoris. In the first, the composition of standard Basal Salt Medium (BSM) was systematically optimized for the production of recombinant phytase, and the optimized media produced significantly more enzyme than the standard one, while also containing significantly reduced concentrations of KH2PO4 and MgSO4·7H2O (27.9 g/l and 4.8 g/l respectively), lowering the price of process inputs. The second was based on the screening of unconventional carbon sources for candidates that could sustain the growth and enzyme production using the same P. pastoris strain. Fructose and ethanol have shown to be viable alternatives to glucose or glycerol as sole carbon sources, and provide flexibility in terms of process design.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".