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Two different modes of transcription repression of the <i>Escherichia coli</i> acetate operon by IclR

2002· article· en· W1961858939 on OpenAlexfundno aff
Kaneyoshi Yamamoto, Akira Ishihama

Bibliographic record

VenueMolecular Microbiology · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial Genetics and Biotechnology
Canadian institutionsnot available
FundersCore Research for Evolutional Science and TechnologyInstitute for Catastrophic Loss Reduction
KeywordsIsocitrate lyasePsychological repressionOperonBiologyRNA polymeraseTranscription (linguistics)RepressorMolecular biologyMalate synthasePromoterRNATranscription factorEscherichia coliGene expressionBiochemistryGeneEnzymeGlyoxylate cycle

Abstract

fetched live from OpenAlex

IclR is a repressor for the Escherichia coli aceBAK operon, which encodes isocitrate lyase (aceB), malate synthase (aceA) and isocitrate dehydroge-nase kinase/phosphorylase (aceK) in the glyoxylate bypass. IclR also represses the expression of iclR in an autogenous manner. DNase I footprinting and in vitro transcription assays indicated that IclR binds to an IclR box (-21 to +14), which overlaps the iclR promoter and thus competes with the RNA polymerase for DNA binding, leading to transcription repression. In the case of the aceBAK operon, IclR binds to IclR box II between -52 and -19 of the aceB promoter and interferes with binding of the RNA polymerase to this promoter. A secondary IclR binding site (IclR box I) was identified between -125 and -99 of the aceB promoter. IclR binds to this IclR box I even after formation of the aceB promoter open complex and, moreover, induces disassembly of the open complex, leading to repression of aceB transcription. In parallel, the location of the C-terminal domain of the RNA polymerase alpha subunit (alphaCTD) on DNA is shifted close to the IclR box I, indicating that direct interaction between the alphaCTD and the IclR box I-associated IclR caused the repression.

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 score0.010
Threshold uncertainty score0.539

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 head0.007
GPT teacher head0.199
Teacher spread0.192 · 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

Citations114
Published2002
Admission routes1
Has abstractyes

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