Identification of a Novel Protein Interaction Motif in the Regulatory Subunit of Casein Kinase 2
Bibliographic record
Abstract
Casein kinase 2 (CK2) regulates multiple cellular processes and can promote oncogenesis. Interactions with the CK2β regulatory subunit of the enzyme target its catalytic subunit (CK2α or CK2α') to specific substrates; however, little is known about the mechanisms by which these interactions occur. We previously showed that by binding CK2β, the Epstein-Barr virus (EBV) EBNA1 protein recruits CK2 to promyelocytic leukemia (PML) nuclear bodies, where increased CK2-mediated phosphorylation of PML proteins triggers their degradation. Here we have identified a KSSR motif near the dimerization interface of CK2β as forming part of a protein interaction pocket that mediates interaction with EBNA1. We show that the EBNA1-CK2β interaction is primed by phosphorylation of EBNA1 on S393 (within a polyserine region). This phosphoserine is critical for EBNA1-induced PML degradation but does not affect EBNA1 functions in EBV replication or segregation. Using comparative proteomics of wild-type (WT) and KSSR mutant CK2β, we identified an uncharacterized cellular protein, C18orf25/ARKL1, that also binds CK2β through the KSSR motif and show that this involves a polyserine sequence resembling the CK2β binding sequence in EBNA1. Therefore, we have identified a new mechanism of CK2 interaction used by viral and cellular proteins.
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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".