Role for PSF in Mediating Transcriptional Activator-Dependent Stimulation of Pre-mRNA Processing In Vivo
Bibliographic record
Abstract
In a recent study, we provided evidence that strong promoter-bound transcriptional activators result in higher levels of splicing and 3'-end cleavage of nascent pre-mRNA than do weak promoter-bound activators and that this effect of strong activators requires the carboxyl-terminal domain (CTD) of RNA polymerase II (pol II). In the present study, we have investigated the mechanism of activator- and CTD-mediated stimulation of pre-mRNA processing. Affinity chromatography experiments reveal that two factors previously implicated in the coupling of transcription and pre-mRNA processing, PSF and p54(nrb)/NonO, preferentially bind a strong rather than a weak activation domain. Elevated expression in human 293 cells of PSF bypasses the requirement for a strong activator to promote efficient splicing and 3'-end cleavage. Truncation of the pol II CTD, which consists of 52 repeats of the consensus heptapeptide sequence YSPTSPS, to 15 heptapeptide repeats prevents PSF-dependent stimulation of splicing and 3'-end cleavage. Moreover, PSF and p54(nrb)/NonO bind in vitro to the wild-type CTD but not to the truncated 15-repeat CTD, and domains in PSF that are required for binding to activators and to the CTD are also important for the stimulation of pre-mRNA processing. Interestingly, activator- and CTD-dependent stimulation of splicing mediated by PSF appears to primarily affect the removal of first introns. Collectively, these results suggest that the recruitment of PSF to activated promoters and the pol II CTD provides a mechanism by which transcription and pre-mRNA processing are coordinated within the cell.
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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".