AU richness within the 5′ coding region of the Escherichia coli heat-stable enterotoxin b mRNA affects toxin secretion
Bibliographic record
Abstract
heat-stable enterotoxin b (STb). This toxin is a well studied T2SS substrate. The mutations were generated such that AU richness within the 5' coding region (corresponding to the N-terminal signal sequence) was gradually reduced. Reduction of AU richness within the first 15 codons resulted in reduced secretion of the toxin as the AU/GC ratio was reduced from 2.13 for the WT STb to 1.65 (S-I) and subsequently to 1.30 (S-II). This reduction did not correlate with mRNA accumulation and decreased stability of the transcripts could not account for the reduced secretion observed. Reduction of AU richness beyond the first 15 codons recovered secretion efficiency of the toxin (S-III). To validate the experimental approach, a positive control was used in which a mutation involving the insertion of a positive charge within the hydrophobic domain of the N-terminal signal sequence was constructed. As expected, this mutation abolished secretion of the toxin. In conclusion, reducing AU richness within the 5'coding region in the STb mRNA reduces toxin secretion but other factors, such as formation of hairpins, must also be taken into consideration. This will have implications for both homologous and heterologous expression of STb for biological studies and for toxin production.
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How this classification was reachedexpand
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 | 0.000 |
| 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 teacher head, 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".