Roles of DNA Sequence and Sigma A Factor in Transcription of the vraSR Operon
Bibliographic record
Abstract
Cell wall damage in Staphylococcus aureus induces a rapid genome-wide response, referred to as the cell wall stress stimulon. This response is mediated by a two-component system, the vancomycin resistance-associated sensor/regulator (VraSR). The response regulator protein VraR is a transcription factor. Here, we demonstrate that two VraR binding sites in the vraSR operon control region are involved in the regulation of the vraSR operon. The sites are centered at the -60 and -35 nucleotide positions and are referred to as R1 and R2, respectively. DNase I footprinting and lux operon reporter vector studies showed that both of these sites communicate intimately with each other to fine-tune the activity of the vraSR operon. Mutagenesis of the VraR binding sites showed that dimerization of unphosphorylated VraR at R1 is driven by a hierarchy in VraR binding and by the proximity of the two tandem VraR binding sequences at this site. On the other hand, these studies show that the lack of sequence conservation and the distance between the VraR binding sequences in R2 ensure that VraR is recruited to this site only when phosphorylated (hence, under stress conditions). Furthermore, we demonstrate that sigma A (SigA) factor is involved in the regulation of the vraSR operon. Our study shows that sigma A factor does not bind to the vraSR operon control region in the absence of VraR, suggesting that VraR may interact directly with this factor.
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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 | 0.001 |
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".