Oxidized RNA Bodies compartmentalize translation quality control in <i>Saccharomyces cerevisiae</i>
Bibliographic record
Abstract
ABSTRACT Cytoplasmic RNA granules compartmentalize phases of the translation cycle. We previously reported on the localization of oxidized RNA in human cells to cytoplasmic foci called oxidized RNA bodies (ORBs). Oxidized mRNAs are substrates of translation quality control, wherein defective mRNAs and nascent polypeptides are released from stalled ribosomes and targeted for degradation. Therefore, we asked whether ORBs compartmentalize translation quality control. Here, we identify ORBs in Saccharomyces cerevisiae and characterize them using fluorescence microscopy and proteomics. ORBs are RNA granules that are distinct from processing bodies and stress granules. Several lines of evidence support a role of ORBs in the compartmentalization of central steps in the translation quality control pathways No-Go mRNA decay and ribosome quality control. Active translation is required by both translation quality control and ORBs. ORBs contain two substrates of translation quality control: oxidized RNA and a stalled mRNA-ribosome-nascent chain complex. Translation quality control factors localize to ORBs. Translation quality control mutants have altered ORB number per cell, size, or both. Therefore, ORBs are an intracellular hub of translational quality control.
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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".