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Record W2161941484 · doi:10.1128/jb.183.2.520-527.2001

Negative Control of <i>rpoS</i> Expression by Phosphoenolpyruvate:Carbohydrate Phosphotransferase System in <i>Escherichia coli</i>

2001· article· en· W2161941484 on OpenAlexfundno aff
Chiharu Ueguchi, Naoko Misonou, Takeshi Mizuno

Bibliographic record

VenueJournal of Bacteriology · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial Genetics and Biotechnology
Canadian institutionsnot available
FundersInstitute of Genetics
KeywordsrpoSPEP group translocationBiologySigma factorTranscription (linguistics)Phosphoenolpyruvate carboxykinaseTranscriptional regulationGeneGene expressionTranscription factorRegulation of gene expressionRNA polymeraseGeneticsCell biologyPromoterEscherichia coli

Abstract

fetched live from OpenAlex

The sigma(S) (or sigma(38)) subunit of RNA polymerase, encoded by the rpoS gene, is a crucial regulator in the transcriptional control of a set of genes under stressful conditions, such as nutrient starvation. The expression of rpoS is regulated in a complex manner at the levels of transcription, translation, and stability of the product. Although a number of factors involved in the regulation of rpoS expression have been identified, the underlying molecular mechanisms are not fully understood. In this study, we identified the Crr (or EIIA(Glc)) protein as a novel factor that plays an important role not only in the transcriptional control but also in the translational control of rpoS expression. Crr is an important component in glucose uptake through the well-characterized phosphoenolpyruvate:carbohydrate phosphotransferase system. The results of a series of genetic analyses revealed that Crr negatively controls rpoS translation and transcription. The observed transcriptional control by Crr appears to be mediated by cyclic AMP. However, it was found that Crr negatively controls rpoS translation rather directly. These results suggest a possible linkage between the control of rpoS expression and carbon metabolism.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.824

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.005
GPT teacher head0.203
Teacher spread0.198 · 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

Citations42
Published2001
Admission routes1
Has abstractyes

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