Determinants in the <scp><i>rpsT</i> mRNAs</scp> recognized by the 5′‐sensor domain of <scp>RNase E</scp>
Bibliographic record
Abstract
RNase E plays a central role in processing virtually all classes of cellular RNA in many bacterial species. A characteristic feature of RNase E and its paralogue RNase G, as well as several other unrelated ribonucleases, is their preference for 5'-monophosphorylated substrates. The basis for this property has been explored in vitro. At limiting substrate, cleavage of the rpsT mRNA by RNase E (residues 1-529) is inefficient, requiring excess enzyme. The rpsT mRNA is cleaved sequentially in a 5' to 3' direction, with the initial cleavage(s) at positions 116/117 or 190/191 being largely driven by direct entry, independent of the 5'-terminus or the 5'-sensor domain of RNase E. Generation of the 147 nt 3'-limit product requires sequential cleavages that generate 5'-monophosphorylated termini on intermediates, and the 5'-sensor domain of RNase E. These requirements can be bypassed with limiting enzyme by deleting a stem-loop structure adjacent to the site of the major, most distal cleavage. Alternatively, this specific cleavage can be activated substantially by a 5'-phosphorylated oligonucleotide annealed 5' to the cleavage site. This finding suggests that monophosphorylated small RNAs may destabilize their mRNA targets by recruiting the 5-sensor domain of RNase E 'in trans'.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| 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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".