Secondary structure of U6 small nuclear RNA: implications for spliceosome assembly
Bibliographic record
Abstract
U6 snRNA (small nuclear RNA), one of five RNA molecules that are required for the essential process of pre-mRNA splicing, is notable for its high level of sequence conservation and the important role it is thought to play in the splicing reaction. Nevertheless, the secondary structure of U6 in the free snRNP (small nuclear ribonucleoprotein) form has remained elusive, with predictions changing substantially over the years. In the present review we discuss the evidence for existing models and critically evaluate a fundamental assumption of these models, namely whether the important 3' ISL (3' internal stem-loop) is present in the free U6 particle, as well as in the active splicing complex. We compare existing models of free U6 with a newly proposed model lacking the 3' ISL and evaluate the implications of the new model for the structure and function of U6's base-pairing partner U4 snRNA. Intriguingly, the new model predicts a role for U4 that was unanticipated previously, namely as an activator of U6 for assembly into the splicing machinery.
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 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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".