Small nucleolar RNAs: the hidden precursors of cancer ribosomes.
Bibliographic record
Abstract
Ribosomes are heterogeneous in terms of their constituent proteins, structural RNAs and ribosomal RNA (rRNA) modifications, resulting in diverse potential translatomes. rRNA modifications, guided by small nucleolar RNAs (snoRNAs), enable fine-tuning of ribosome function and translation profiles. Recent studies have begun linking dysregulation of snoRNAs, via rRNA modifications, to tumourigenesis. Deciphering the specific contributions of individual rRNA modifications to cancer hallmarks and identifying snoRNAs with oncogenic potential could lead to novel therapeutic strategies. These strategies might target snoRNAs or exploit the dependence of cancer cells on specific rRNA modification sites, potentially disrupting aberrant ribosomal translation programs and hindering tumour growth. This review discusses current evidence and challenges in linking changes in snoRNA expression to rRNA modification and cancer biology.This article is part of the discussion meeting issue 'Ribosome diversity and its impact on protein synthesis, development and disease'.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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".