The global regulator H‐NS binds to two distinct classes of sites within the Tn10 transpososome to promote transposition
Bibliographic record
Abstract
The histone-like nucleoid structuring protein (H-NS) is a global transcriptional regulator that influences stress response and virulence pathways in Gram-negative bacteria. H-NS also promotes Tn10 transposition by binding directly to the transpososome and inducing a conformational change in the transpososome that favours intermolecular transposition events. H-NS binds preferentially to curved DNA and can bend non-curved DNA, it self-oligomerizes and can interact with other proteins. To determine what functions of H-NS are important in promoting Tn10 transposition, we have examined the ability of two mutant forms of H-NS, P116S and 1-64, to act in Tn10 transposition. We provide evidence that the initial interaction of H-NS with the transpososome is dependent on H-NS binding to a specific structure in DNA flanking the transposon end. Additional molecules of H-NS then bind within the transposon end. This latter event appears to be directed by H-NS binding to the Tn10 transposase protein, and is important in maintaining the transpososome in a conformation that promotes intermolecular transposition. The binding of H-NS to a transposase protein is a novel function for this important regulatory molecule.
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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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".