Interaction of Fcp1 Phosphatase with Elongating RNA Polymerase II Holoenzyme, Enzymatic Mechanism of Action, and Genetic Interaction with Elongator
Bibliographic record
Abstract
Fcp1 de-phosphorylates the RNA polymerase II (RNAPII) C-terminal domain (CTD) in vitro, and mutation of the yeast FCP1 gene results in global transcription defects and increased CTD phosphorylation levels in vivo. Here we show that the Fcp1 protein associates with elongating RNAPII holoenzyme in vitro. Our data suggest that the association of Fcp1 with elongating polymerase results in CTD de-phosphorylation when the native ternary RNAPII0-DNA-RNA complex is disrupted. Surprisingly, highly purified yeast Fcp1 dephosphorylates serine 5 but not serine 2 of the RNAPII CTD repeat. Only free RNAPII0(Ser-5) and not RNAPII0-DNA-RNA ternary complexes act as a good substrate in the Fcp1 CTD de-phosphorylation reaction. In contrast, TFIIH CTD kinase has a pronounced preference for RNAPII incorporated into a ternary complex. Interestingly, the Fcp1 reaction mechanism appears to entail phosphoryl transfer from RNAPII0 directly to Fcp1. Elongator fails to affect the phosphatase activity of Fcp1 in vitro, but genetic evidence points to a functional overlap between Elongator and Fcp1 in vivo. Genetic interactions between Elongator and a number of other transcription factors are also reported. Together, these results shed new light on mechanisms that drive the transcription cycle and point to a role for Fcp1 in the recycling of RNAPII after dissociation from active genes.
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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 | 0.001 |
| 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".