Transcriptomic analysis of synchrony and productivity in self-cycling fermentation of engineered yeast producing shikimic acid
Bibliographic record
Abstract
Industrial fermentation provides a wide variety of bioproducts, such as food, biofuels and pharmaceuticals. Self-cycling fermentation (SCF), an advanced automated semi-continuous fermentation approach, has shown significant advantages over batch reactors (BR); including cell synchrony and improved production. Here, Saccharomyces cerevisiae engineered to overproduce shikimic acid was grown under SCF operation. This led to four-fold increases in product yield and volumetric productivity compared to BR. Transcriptomic analyses were performed to understand the cellular mechanisms leading to these increases. Results indicate an up-regulation of a large number of genes related to the cell cycle and DNA replication in the early stages of SCF cycles, inferring substantial synchronization. Moreover, numerous genes related to gluconeogenesis, the citrate cycle and oxidative phosphorylation were significantly up-regulated in the late stages of SCF cycles, consistent with significant increases in shikimic acid yield and productivity.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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".