Biochemical and genomic analysis of substrate recognition by the double-stranded RNA binding domain of yeast RNase III
Bibliographic record
Abstract
Members of the RNase III family of double-stranded RNA (dsRNA) endonucleases are important enzymes of RNA metabolism in eukaryotic cells. Rnt1p is the only known member of the RNase III family of endonucleases in Saccharomyces cerevisiae. Previous studies have shown that Rnt1p cleaves dsRNA capped by a conserved AGNN tetraloop motif, which is a major determinant for Rnt1p binding and cleavage. The solution structure of the dsRNA-binding domain (dsRBD) of Rnt1p bound to a cognate RNA substrate revealed the structural basis for binding of the conserved tetraloop motif by alpha-helix 1 of the dsRBD. In this study, we have analyzed extensively the effects of mutations of helix 1 residues that contact the RNA. We show, using microarray analysis, that mutations of these amino acids induce substrate-specific processing defects in vivo. Cleavage kinetics and binding studies show that these mutations affect RNA cleavage and binding in vitro to different extents and suggest a function for some specific amino acids of the dsRBD in the catalytic positioning of the enzyme. Moreover, we show that 2'-hydroxyl groups of nucleotides of the tetraloop or adjacent base pairs predicted to interact with residues of alpha-helix 1 are important for Rnt1p cleavage in vitro. This study underscores the importance of a few amino acid contacts for positioning of a dsRBD onto its RNA target, and implicates the specific orientation of helix 1 on the RNA for proper positioning of the catalytic domain.
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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 | 0.000 |
| 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".