Transcriptomic analysis of synchrony and productivity in self-cycling fermentation of engineered yeast producing shikimic acid
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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 it