Influences of σ<sup>B</sup>and<i>agr</i>on expression of staphylococcal enterotoxin B (<i>seb</i>) in<i>Staphylococcus aureus</i>
Bibliographic record
Abstract
In Staphylococcus aureus, enterotoxin B (SEB) is a superantigen that activates host interleukins and induces adverse responses, ranging from food poisoning to toxic shock. The alternate sigma factor, sigmaB (SigmaB), and agr are two known regulators of S. aureus. Northern blots of strain COL, a sigB-positive strain, showed an inverse correlation between sigmaB expression and seb message. seb expression was also measured as a function of a seb promoter linked to green fluorescent protein (GFP) expression in RN6390, COL, and Newman. In sigB mutants of RN6390, SH1000, COL, and Newman, seb promoter activities, as measured by GFP expression, increased relative to the respective parental types but at differing levels, suggesting alternate strain-specific regulation. In agr mutants of RN6390 and Newman, seb promoter activities were intermediate between the high level seen for the sigB mutant and the low level in the sigB active strains. A sigB agr double mutant of RN6390 displayed lower GFP expression than the agr mutant. These results suggest that while sigmaB and agr regulate seb expression in a divergent manner, other activator(s) of seb that depend on sigB expression may be present in S. aureus.
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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".