Bibliographic record
Abstract
The cellular transformation of a precursor mRNA (pre-mRNA) into its mature or functional form proceeds by way of a splicing reaction, in which the exons are ligated to form the mature linear RNA and the introns are excised as branched or lariat RNAs. We have prepared a series of branched compounds (bRNA and bDNA), and studied the effects of such molecules on the efficiency of mammalian pre-mRNA splicing in vitro. Y-shaped RNAs containing an unnatural L-2'-deoxycytidine unit (L-dC) at the 3' termini are highly stabilized against exonuclease hydrolysis in HeLa nuclear extracts, and are potent inhibitors of the splicing pathway. A bRNA containing internal 2'-O-methyl ribopyrimidine units and L-dC at the 3' ends was at least twice as potent as the most potent of the bRNAs containing no 2' modifications, with an IC50 of approximately 5 micro M. Inhibitory activity was maintained in a branched molecule containing an arabino-adenosine branchpoint which, unlike the native bRNAs, resisted cleavage by the lariat- debranching enzyme. The data obtained suggest that binding and sequestering of a branch recognition factor by the branched nucleic acids is an early event, which occurs prior to the first chemical step of splicing. Probably, an early recognition element preferentially binds to the synthetic branched molecules over the native pre-mRNA. As such, synthetic bRNAs may prove to be invaluable tools for the purification and identification of the putative branchpoint recognition factor.
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 | 0.000 |
| 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".