Rat1p and Rai1p function with the nuclear exosome in the processing and degradation of rRNA precursors
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Exoribonucleases function in the processing and degradation of a variety of RNAs in all organisms. These enzymes play a particularly important role in the maturation of rRNAs and in a quality-control pathway that degrades rRNA precursors upon inhibition of ribosome biogenesis. Strains with defects in 3'-5' exoribonucleolytic components of the RNA processing exosome accumulate polyadenylated precursor rRNAs that also arise in strains with ribosome biogenesis defects. These findings suggested that polyadenylation might target pre-rRNAs for degradation by the exosome. Here we report experiments that indicate a role for the 5'-3' exoribonuclease Rat1p and its associated protein Rai1p in the degradation of poly(A)(+) pre-rRNAs. Depletion of Rat1p enhances the amount of poly(A)(+) pre-rRNA that accumulates in strains deleted for the exosome subunit Rrp6p and decreases their 5' heterogeneity. Deletion of RAI1 results in the accumulation of poly(A)(+) pre-rRNAs, and inhibits Rat1p-dependent 5'-end processing and Rrp6p-dependent 3'-end processing of 5.8S rRNA. RAT1 and RAI1 mutations cause synergistic growth defects in the presence of rrp6-Delta, consistent with the interdependence of 5'-end and 3'-end processing pathways. These findings suggest that Rai1p may coordinate the 5'-end and 3'-end processing and degradation activities of Rat1p and the nuclear exosome.
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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 | 0.000 | 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) | 0.000 | 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 it