A Close-up View of the VraSR Two-component System
Bibliographic record
Abstract
Staphylococcus aureus remains a clinical scourge. Recent studies have revealed that S. aureus is capable of mounting a response to antibiotics that target cell wall peptidoglycan biosynthesis, such as beta-lactams and vancomycin. A phosphotransfer-mediated signaling pathway composed of a histidine protein kinase, VraS, and a response regulator protein, VraR, has been linked to the coordination of this response. Herein, we report for the first time on the signal transduction mechanism of the VraSR system. We found that VraS is capable of undergoing autophosphorylation in vitro and its phosphoryl group is rapidly transferred to VraR. In addition, phosphorylated VraR undergoes rapid dephosphorylation by VraS. Evidence is presented that VraR has adopted a novel strategy in regulating the output response of the VraSR-mediated signaling pathway. The VraR effector domain inhibits formation of inactive VraR dimers and, in doing so, it holds the regulatory domain into an intermediate active state. We show that only phosphorylation induces formation of the biological active VraR-dimer species. Furthermore, we propose that damage inflicted to cell wall peptidoglycan could be the main source of the stimuli that VraR responds to due to the tight control that VraS has on the phosphorylation state of VraR. Our findings provide for the first time insights into the molecular basis for the proposed role of VraSR as a "sentinel" system capable of rapidly sensing cell wall peptidoglycan damage and coordinating a response that enhances the resistance phenotype 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.005 |
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".