The Importance of Being RNA-est: considering RNA-mediated ribosome plasticity
Bibliographic record
Abstract
For over 40 years, ribosomes were considered monolithic machines that translate the genetic code indiscriminately. However, over the past two decades, there have been a growing number of studies that suggest ribosomes to have a degree of compositional and functional adaptability in response to tissue type, cell environment and stimuli, cell cycle or development state. In such form, ribosomes themselves take an active part in translation regulation through an intrinsic adaptability provided by evolution, which furnished ribosomes with a dynamic plasticity that confers another layer of gene expression regulation. Yet despite the identification of various sources that give rise to ribosomal heterogeneity both at the protein and RNA level, its functional relevance is still debated, and many questions remain. Here, we will review aspects, including evolutionary ones, of ribosome heterogeneity emerging at the nucleic acid level, and aim to reframe ribosome 'heterogeneity' as an adaptive and dynamic process of plasticity.The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".