Characterization of hibernating ribosomes in mammalian cells
Bibliographic record
Abstract
Protein synthesis across kingdoms involves the assembly of 70S (prokaryotes) or 80S (eukaryotes) ribosomes on the mRNAs to be translated. 70S ribosomes are protected from degradation in bacteria during stationary growth or stress conditions by forming dimers that migrate in polysome profiles as 100S complexes. Formation of ribosome dimers in Escherichia coli is mediated by proteins, namely the ribosome modulation factor (RMF), which is induced in the stationary phase of cell growth. It is reported here a similar ribosomal complex of 110S in eukaryotic cells, which forms during nutrient starvation. The dynamic nature of the 110S ribosomal complex (mammalian equivalent of the bacterial 100S) was supported by the rapid conversion into polysomes upon nutrient-refeeding via a mechanism sensitive to inhibitors of translation initiation. Several experiments were used to show that the 110S complex is a dimer of nontranslating ribosomes. Cryo-electron microscopy visualization of the 110S complex revealed that two 80S ribosomes are connected by a flexible, albeit localized, interaction. We conclude that, similarly to bacteria, rat cells contain stress-induced ribosomal dimers. The identification of ribosomal dimers in rat cells will bring new insights in our thinking of the ribosome structure and its function during the cellular response to 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) | 0.001 | 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".