SRm160 Splicing Coactivator Promotes Transcript 3′-End Cleavage
Bibliographic record
Abstract
Individual steps in the processing of pre-mRNA, including 5'-end cap formation, splicing, and 3'-end processing (cleavage and polyadenylation) are highly integrated and can influence one another. In addition, prior splicing can influence downstream steps in gene expression, including export of mRNA from the nucleus. However, the factors and mechanisms coordinating these steps in the maturation of pre-mRNA transcripts are not well understood. In the present study we demonstrate that SRm160 (for serine/arginine repeat-related nuclear matrix protein of 160 kDa), a coactivator of constitutive and exon enhancer-dependent splicing, participates in 3'-end formation. Increased levels of SRm160 promoted the 3'-end cleavage of transcripts both in vivo and in vitro. Remarkably, at high levels in vivo SRm160 activated the 3'-end cleavage and cytoplasmic accumulation of unspliced pre-mRNAs, thereby uncoupling the requirement for splicing to promote the 3'-end formation and nuclear release of these transcripts. Consistent with a role in 3'-end formation coupled to splicing, SRm160 was found to associate specifically with the cleavage polyadenylation specificity factor and to stimulate the 3'-end cleavage of splicing-active pre-mRNAs more efficiently than that of splicing-inactive pre-mRNAs in vitro. The results provide evidence for a role for SRm160 in mRNA 3'-end formation and suggest that the level of this splicing coactivator is important for the proper coordination of pre-mRNA processing events.
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 | 0.000 |
| 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) | 0.000 | 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".