<scp>H</scp>fq binds directly to the ribosome‐binding site of <scp>IS</scp><i>10</i> transposase m<scp>RNA</scp> to inhibit translation
Bibliographic record
Abstract
Hfq is a critical component of post-transcriptional regulatory networks in most bacteria. It usually functions as a chaperone for base-pairing small RNAs, although non-canonical regulatory roles are continually emerging. We have previously shown that Hfq represses IS10/Tn10 transposase expression through both antisense RNA-dependent and independent mechanisms. In the current work, we set out to define the regulatory role of Hfq in the absence of the IS10 antisense RNA. We show here that an interaction between the distal surface of Hfq and the ribosome-binding site of transposase mRNA (RNA-IN) is required for repressing translation initiation. Additionally, this interaction was critical for the in vivo association of Hfq and RNA-IN. Finally, we present evidence that the small RNA ChiX activates transposase expression by titrating Hfq away from RNA-IN. The current results are considered in the broader context of Hfq biology and implications for Hfq titration by ChiX are discussed.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".