H-NS mediates the dissociation of a refractory protein-DNA complex during Tn10/IS10 transposition
Bibliographic record
Abstract
Tn10/IS10 transposition takes place in the context of a protein-DNA complex called a transpososome. During the reaction, the transpososome undergoes several conformational changes. The host proteins IHF and H-NS, which also are global regulators of gene expression, play important roles in directing these architectural changes. IHF binds tightly to only one of two transposon ends within the transpososome, folding this end into a DNA loop structure. Unfolding this DNA loop is necessary for excising the transposon from flanking donor DNA and preventing integration of the transposon into itself. We show here that efficient DNA loop unfolding relies on the continuity of the flanking donor DNA on the side of the transpososome opposite to the folded transposon end. We also show this same donor DNA is a preferred binding site for H-NS, which promotes opening of the IHF-loop, which is required for productive target interactions. This is counter to the usual mode of H-NS action, which is repressive due to its propensity to coat DNA. The interplay between IHF and H-NS likely serves to couple the rate of transposition to the host cell physiology as both of these proteins are integrated into cellular stress response pathways.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".