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Record W2026526739 · doi:10.1128/jb.06143-11

Roles of DNA Sequence and Sigma A Factor in Transcription of the vraSR Operon

2011· article· en· W2026526739 on OpenAlexaff
A. Belcheva, Vibha Verma, А. V. Korenevsky, Micha Fridman, Kishan Kumar, Dasantila Golemi‐Kotra

Bibliographic record

VenueJournal of Bacteriology · 2011
Typearticle
Languageen
FieldMedicine
TopicAntimicrobial Resistance in Staphylococcus
Canadian institutionsYork University
Fundersnot available
KeywordsOperonBiologyFootprintingSigma factorTranscription factorDNA footprintingGeneticsTranscription (linguistics)Binding sitegal operonDNA-binding proteinRNA polymeraseGeneRNAEscherichia coli

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.712
Threshold uncertainty score0.167

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.042
GPT teacher head0.274
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations22
Published2011
Admission routes1
Has abstractyes

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