Interactions of the HIV-1 Tat and RAP74 Proteins with the RNA Polymerase II CTD Phosphatase FCP1
Bibliographic record
Abstract
FCP1, a phosphatase specific for the carboxyl-terminal domain of the largest subunit of RNA polymerase II, is regulated by the HIV-1 Tat protein, CK2, TFIIB, and the large subunit of TFIIF (RAP74). We have characterized the interactions of Tat and RAP74 with the BRCT-containing central domain of FCP1 (FCP1(562)(-)(738)). We demonstrated that FCP1 is required for Tat-mediated transactivation in vitro and that amino acids 562-685 of FCP1 are necessary for Tat interaction in yeast two-hybrid studies. From sequence alignments, we identified a conserved acidic/hydrophobic region in FCP1 adjacent to its highly conserved BRCT domain. In vitro binding studies with purified proteins indicate that HIV-1 Tat interacts with both the acidic/hydrophobic region and the BRCT domain of FCP1, whereas RAP74(436)(-)(517) interacts solely with a portion of the acidic/hydrophobic region containing a conserved LXXLL-like motif. HIV-1 Tat inhibits the binding of RAP74(436)(-)(517) to FCP1. In a companion paper (K. Abbott et al. (2005) Enhanced Binding of RNAPII CTD Phosphatase FCP1 to RAP74 Following CK2 Phosphorylation, Biochemistry 44, 2732-2745, we identified a novel CK2 site adjacent to this conserved LXXLL-like motif. Phosphorylation of FCP1(562)(-)(619) by CK2 at this site increases binding to RAP74(436)(-)(517), but this phosphorylation is inhibited by Tat. Our results provide insights into the mechanisms by which Tat inhibits the FCP1 CTD phosphatase activity and by which FCP1 mediates transcriptional activation by Tat. In addition to increasing our understanding of the role of HIV-1 Tat in transcriptional regulation, this study defines a clear role for regions adjacent to the BRCT domain in promoting important protein-protein interactions.
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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) | 0.000 | 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 | 0.001 |
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".