Characterization of a temperature‐sensitive mutation that impairs the function of yeast tRNA nucleotidyltransferase
Bibliographic record
Abstract
ATP(CTP) : tRNA nucleotidyltransferase catalyses the posttranscriptional addition of cytidine, cytidine and adenosine to the 3' ends of tRNAs. Previously, a temperature-sensitive phenotype in Saccharomyces cerevisiae resulting from a mutation in the CCA1 gene coding for this enzyme was identified. Here, we show that a single guanine-to-adenine transition in cca1-1 generates the temperature-sensitive phenotype. Alignment of the amino acid sequence of S. cerevisiae tRNA nucleotidyltransferase with other tRNA nucleotidyltransferases for which crystal structures have been solved suggests that the resulting Glu-to-Lys substitution is in a ss-turn connecting the structurally and functionally important head and neck domains of the protein. Proteins containing Gln, His or Phe at this position were constructed to further characterize the importance of this residue in enzyme structure and function. As with the Lys variant, the Phe and His variants generate a temperature-sensitive phenotype in isogenic yeast strains, further supporting the role of this position in maintaining the structure and function of this enzyme. Comparative biophysical and biochemical characterization of both the wild-type and variant proteins indicates that amino acid substitutions at this position can result in a structural change in the protein that reduces enzyme activity (both at the permissive and non-permissive temperatures), decreases the melting temperature of the protein and alters its stability at the non-permissive temperature (37 degrees C).
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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) | 0.001 | 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".