Noncanonical repression of translation initiation through small RNA recruitment of the RNA chaperone Hfq
Bibliographic record
Abstract
The RNA chaperone Hfq is mostly known to help small regulatory RNAs (sRNAs) interact with target mRNAs to block initiating ribosomes. In this model, whereas the sRNA is directly competing with initiating 30S ribosomal subunits, Hfq plays only an indirect role, allowing optimal sRNA-mRNA pairing. Here we report that Hfq is recruited by a sRNA, Spot42, to bind to a precise AU-rich region in the vicinity of the translation initiation region (TIR) of sdhC mRNA and competes directly with 30S ribosomal subunits. We show that the sRNA Spot42 binds sdhC too far upstream of the TIR to directly repress translation initiation in vitro and in vivo. Contrary to the canonical model of sRNA regulation, this suggests a new mechanism where Hfq is directly involved in the translational repression of the target mRNA and where the sRNA acts only as a recruitment factor.
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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 | 0.000 |
| 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".