Transcriptional analysis of the<i>Pseudomonas aeruginosa toxA</i>regulatory gene<i>ptxR</i>
Bibliographic record
Abstract
The expression of the exotoxin A gene (toxA) in Pseudomonas aeruginosa is a complicated process that involves several regulators, including ptxR, which enhances toxA expression by 4- to 5-fold. Available evidence suggests that ptxR is expressed from two separate promoters, P1 and P2. Previous evidence indicated the presence, within the ptxR upstream region, of binding sites for several regulatory proteins, including PtxS, which negatively regulates ptxR expression. We utilized nested deletion and in vitro transcription analyses to examine the regulation of ptxR expression. The results from nested deletion analysis suggest that under aerobic conditions in iron-deficient medium, ptxR expression follows a biphasic curve that involves the P1 promoter only. Iron eliminated the second peak of ptxR expression but did not affect expression from the P2 promoter. Under microaerobic conditions, iron represses ptxR expression from subclones that carry P1 alone or P2 alone at both early and late stages of growth. Under anaerobic conditions, ptxR expression increases considerably. In addition, our results suggest that different segments of the ptxR upstream region play specific roles in ptxR expression; their deletion caused variations in the level as well as the pattern of ptxR expression. Our results also indicate that negative regulation of ptxR expression by PtxS does not occur through the PtxS binding site within the ptxR-ptxS intergenic region. In vitro transcription analysis using sigma70-reconstituted P. aeruginosa RNA polymerase produced one transcript that closely resembles T1, indicating that P1 is recognized by sigma70. RNA polymerase reconstituted with either RpoS or AlgU produced no transcripts. However, a transcript was produced by RpoH-reconstituted RNA polymerase.
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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 | 0.001 |
| 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 | 0.001 |
| 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".