Growth inhibition mediated by excess negative supercoiling: the interplay between transcription elongation, R‐loop formation and DNA topology
Why this work is in the frame
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Bibliographic record
Abstract
It has been known for a long time that supercoiling can affect gene expression at the level of promoter activity. Moreover, the results of a genome-wide analysis have recently led to the proposal that supercoiling could play a role in the regulation of gene expression at this level by acting as a second messenger, relaying environmental signals to regulatory networks. Although evidence is lacking for a regulatory role of supercoiling following transcription initiation, recent results from both yeast and bacteria suggest that the effect of supercoiling on gene expression can be considerably more dramatic after this initiation step. Transcription-induced supercoiling and its associated R-loops seem to be involved in this effect. In this context, one major function of topoisomerases would be to prevent the generation of excess negative supercoiling by transcription elongation, to inhibit R-loop formation and allow gene expression. This function would be especially evident when substantial and rapid gene expression is required for stress resistance, and it may explain, at least in part, why topoisomerase I synthesis is directed from stress-induced promoters in Escherichia coli. Growth inhibition mediated by excess negative supercoiling might be related to this interplay between transcription elongation and supercoiling.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it