The Regulatory β Subunit of Protein Kinase CK2 Mediates Formation of Tetrameric CK2 Complexes
Bibliographic record
Abstract
Protein kinase CK2 is a tetrameric enzyme composed of two catalytic (alpha and/or alpha') subunits and two regulatory (beta) subunits. Because CK2beta is synthesized in excess of CK2alpha, we hypothesized that formation of CK2beta homodimers precedes the incorporation of the catalytic subunits of CK2 into complexes. To test this hypothesis, we cotransfected cells with two epitope-tagged variants of CK2beta. The results of these cotransfection studies demonstrate that interactions between two CK2beta subunits take place in the absence of CK2alpha. Together with results from previous biosynthetic labeling studies, these results suggest that formation of CK2beta homodimers occurs before incorporation of catalytic subunits of CK2 into CK2 complexes. We also cotransfected Cos-7 cells with a deletion fragment of CK2beta (i.e. Myc-beta1-166) together with full-length hemagglutinin (HA)-tagged CK2beta and/or CK2alpha'. Although complexes between Myc-beta1-166 and HA-beta were readily detected, we obtained no evidence of direct interactions between Myc-beta1-166 and HA-CK2alpha'. These results suggest that residues within the N-terminal 166 amino acids of CK2beta are sufficient for interactions between CK2beta subunits, whereas the C-terminal domain of CK2beta is required for complex formation with the catalytic subunits of CK2. Finally, we observed that expression of full-length HA-beta promotes phosphorylation of Myc-beta1-166 by HA-CK2alpha'.
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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 | 0.001 | 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".