Differential regulation of interchromosomal copies of ToxR-induced genes
Bibliographic record
Abstract
In Vibrio cholerae, ToxR transcriptionally activates a number of virulence genes in response to various environmental signals. In the present study, transcription profiling by macroarray was carried out with 13 pairs of genes, one copy of which is present in each chromosome under ToxR-inducing (pH 6.5, osmolarity 66 mmol/L, 30 degrees C) and ToxR-repressing (pH 8.5, osmolarity 300 mmol/L, 37 degrees C) conditions followed by high pH (8.5) and low pH (6.5) conditions to eliminate pH effect. The genes dacAII, tagEII, secDII, pmmI, pmmII, and immII showed increased expression in the ToxR-inducing conditions, but not at low pH, suggesting that the expression of these genes might be regulated by ToxR. The expression of pmmII, dacAII, tagEII, secDII, and immII genes decreased significantly in the toxR insertion mutant as determined by RT-PCR, whereas the expression of the chromosome I copy of pmm increased in toxR mutant compared with wild-type cells. Thus, the chromosome II copy of these genes, which show increased expression under ToxR-inducing conditions, are all regulated by ToxR in V. cholerae, whereas the chromosome I copy of pmm may be regulated by other factors under ToxR-inducing conditions.
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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) | 0.001 | 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".