Nuclear Accumulation of cRel following C-Terminal phosphorylation by TBK1/IKKε
Bibliographic record
Abstract
The NF-kappaB transcription factors are key regulators of immunomodulatory, cell cycle, and developmental gene regulation. NF-kappaB activity is mainly regulated through the phosphorylation of IkappaB by the IkappaB kinase (IKK) complex IKKalphabetagamma, leading to proteasome-mediated degradation of IkappaB, nuclear translocation of NF-kappaB dimers, DNA binding, and gene induction. Additionally, direct posttranslational modifications of NF-kappaB p65 and cRel subunits involving C-terminal phosphorylation has been demonstrated. The noncanonical IKK-related homologs, TNFR-associated factor family member-associated NF-kappaB activator (TANK)-binding kinase (TBK)1 and IKKepsilon, are also thought to play a role in NF-kappaB regulation, but their functions remain unclear. TBK1 and IKKepsilon were recently described as essential regulators of IFN gene activation through direct phosphorylation of the IFN regulatory factor-3 and -7 transcription factors. In the present study, we sought to determine whether IKKepsilon and TBK1 could modulate cRel activity via phosphorylation. TBK1 and IKKepsilon directly phosphorylate the C-terminal domain of cRel in vitro and in vivo and regulate nuclear accumulation of cRel, independently of the classical IkappaB/IKK pathway. IkappaBalpha degradation is not affected, but rather IKKepsilon-mediated phosphorylation of cRel leads to dissociation of the IkappaBalpha-cRel complex. These results illustrate a previously unrecognized aspect of cRel regulation, controlled by direct IKKepsilon/TBK1 phosphorylation.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".