Selective targeting of individual isoforms to investigate the role of CK2 in cell survival
Bibliographic record
Abstract
CK2 is a highly conserved protein serine/threonine kinase that is represented by two catalytic isozymes, CK2α and CK2α’, that have similar catalytic activity but appear to exhibit functional specialization in cells. Evidence suggests that CK2 has a general anti‐apoptotic role in cells, via the protection of pro‐apoptotic proteins from caspase‐mediated cleavage. In the present study, CK2α and/or CK2α’ were specifically knocked down using RNA interference or chemical inhibition to elucidate the role of specific CK2 isoforms in the maintenance of cell viability. HeLa cells were treated with selective CK2 inhibitors or transfected with CK2α‐shRNA, CK2α’‐shRNA or a control scramble‐shRNA. Examination of various apoptotic indicators was carried out using microscopic examination and western blot analysis. Knockdown of either CK2αor CK2α’ or treatment with CK2 inhibitors resulted in the induction of apoptosis as indicated by the cleavage of PARP. Interestingly, the addition of z‐VAD a general caspase inhibitor to CK2‐inhibitor‐treated cells resulted in a reduction of cleaved PARP, suggesting that a proportion of these cells undergo caspase‐dependent apoptosis. The results of this study indicate definitively that both CK2α and CK2α’ participate in the protection of cells from apoptosis, and that the protection may be caspase dependent. This work was supported by an operating grant and a strategic training program grant from the Canadian Institutes of Health Research.
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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) | 0.001 | 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".