Two different modes of transcription repression of the <i>Escherichia coli</i> acetate operon by IclR
Bibliographic record
Abstract
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.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".