Terminal Structure Mediates 5 S rRNA Stability and Integration during Ribosome Biogenesis
Bibliographic record
Abstract
Formation of the eukaryotic ribosomal 5 S RNA-protein complex has been shown to be critical to ribosome biogenesis and has been speculated to contribute to a quality control mechanism that helps ensure that only normal precursors are processed and assembled into active ribosomes. To study the structural basis of these observations, the RNA-protein interface in the 5 S RNA-protein complex of the yeast (Saccharomyces cerevisiae) ribosome was examined based on a systematic introduction of targeted base substitutions in the RNA sequence. Most base substitutions had little or no effect on the efficiency of complex formation, but large effects were observed when changes disrupted helix I, the secondary structure formed between the interacting termini. Again, only modest effects were evident when the extended 3' end of the mature RNA molecule was altered, but essentially no complex was formed when the 5' end of the mature 5 S RNA sequence was artificially extended by one nucleotide. In vitro analyses demonstrated that this extension also dramatically altered the maturation of 5 S rRNA precursor molecules as well as the stability of the mature 5 S rRNA. Taken together, the results indicate that in the course of RNA maturation, the 5 S RNA-binding protein binds precisely over or "caps" the termini in a critical manner that protects the RNA from further degradation.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".