MétaCan
Menu
Back to cohort

Transcription Regulation Coupling of the Divergent<i>argG</i>and<i>metY</i>Promoters in<i>Escherichia coli</i>K-12

2003· article· en· W2050499128 on OpenAlexfundno aff
Evelyne Krin, Christine Laurent‐Winter, Philippe Bertin, Antoine Danchin, Annie Kolb

Bibliographic record

VenueJournal of Bacteriology · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial Genetics and Biotechnology
Canadian institutionsnot available
FundersCentre National de la Recherche ScientifiqueInstitut national de la recherche scientifique
KeywordsBiologyPromoterEscherichia coliEscherichia coli ProteinsTranscription (linguistics)GeneticsTranscription factorCell biologyGeneGene expression

Abstract

fetched live from OpenAlex

The cAMP-catabolite activator protein (CAP) complex is a pleiotropic regulator that regulates a vast number of Escherichia coli genes, including those involved in carbon metabolism. We identified two new targets of this complex: argG, which encodes the arginosuccinate synthase involved in the arginine biosynthetic pathway, and metY, which encodes one of the two methionine tRNA initiators, tRNAf2Met. The cAMP-CAP complex activates argG transcription and inhibits metY transcription from the same DNA position. We also show that ArgR, the specific repressor of the arginine biosynthetic pathway, together with its arginine cofactor, acts on the regulation of metY mediated by CAP. The regulation of the two divergent promoters is thus simultaneously controlled not only by the cAMP-CAP complex, a global regulator, but also by a specific regulator of arginine metabolism, suggesting a previously unsuspected link between carbon metabolism and translation initiation.

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 score0.140
Threshold uncertainty score0.356

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 head0.009
GPT teacher head0.210
Teacher spread0.201 · 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

Citations28
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueJournal of BacteriologySame topicBacterial Genetics and BiotechnologyFrench-language works237,207