Splicing and transcription-associated proteins PSF and p54nrb/NonO bind to the RNA polymerase II CTD
Bibliographic record
Abstract
The carboxyl-terminal domain (CTD) of the largest subunit of eukaryotic RNA polymerase II (pol II) plays an important role in promoting steps of pre-mRNA processing. To identify proteins in human cells that bind to the CTD and that could mediate its functions in pre-mRNA processing, we used the mouse CTD expressed in bacterial cells in affinity chromatography experiments. Two proteins present in HeLa cell extract, the splicing and transcription-associated factors, PSF and p54nrb/NonO, bound specifically and could be purified to virtual homogeneity by chromatography on immobilized CTD matrices. Both hypo- and hyperphosphorylated CTD matrices bound these proteins with similar selectivity. PSF and p54nrb/NonO also copurified with a holoenzyme form of pol II containing hypophosphorylated CTD and could be coimmunoprecipitated with antibodies specific for this and the hyperphosphorylated form of pol II. That PSF and p54nrb/NonO promoted the binding of RNA to immobilized CTD matrices suggested these proteins can interact with the CTD and RNA simultaneously. PSF and p54nrb/NonO may therefore provide a direct physical link between the pol II CTD and pre-mRNA processing components, at both the initiation and elongation phases of transcription.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
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".