Human NAA30 can rescue yeast <i>mak3∆</i> mutant growth phenotypes
Bibliographic record
Abstract
N-terminal acetylation is an irreversible protein modification that primarily occurs co-translationally, and is catalyzed by a highly conserved family of N-terminal acetyltransferases (NATs). The NatC complex (NAA30-NAA35-NAA38) is a major NAT enzyme, which was first described in yeast and estimated to N-terminally acetylate ∼20% of the proteome. The activity of NatC is crucial for the correct functioning of its substrates, which include translocation to the Golgi apparatus, the inner nuclear membrane as well as proper mitochondrial function. We show in comparative viability and growth assays that yeast cells lacking MAK3/NAA30 grow poorly in non-fermentable carbon sources and other stress conditions. By using two different experimental approaches and two yeast strains, we show that liquid growth assays are the method of choice when analyzing subtle growth defects, keeping loss of information to a minimum. We further demonstrate that human NAA30 can functionally replace yeast MAK3/NAA30. However, this depends on the genetic background of the yeast strain. These findings indicate that the function of MAK3/NAA30 is evolutionarily conserved from yeast to human. Our yeast system provides a powerful approach to study potential human NAA30 variants using a high-throughput liquid growth assay with various stress conditions.
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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) | 0.002 | 0.001 |
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".