Engagement of Protein Kinase C-θ in Interferon Signaling in T-cells
Bibliographic record
Abstract
Protein kinase C-theta (PKC-theta) plays important roles in the activation and survival of lymphocytes and is the predominant PKC isoform expressed in T-cells. Interferons regulate T-cell function and activation, but the precise signaling mechanisms by which they mediate such effects have not been elucidated. We determined whether PKC-theta is engaged in interferon (INF) signaling in T-cells. Both Type I (alpha, beta) and Type II (gamma) IFNs induced phosphorylation of PKC-theta in human T-cell lines and primary human T-lymphocytes. Such phosphorylation of PKC-theta resulted in activation of its kinase domain, suggesting that this kinase plays a functional role in interferon signaling. Consistent with this, inhibition of PKC-theta protein expression using small interfering RNAs (siRNA) abrogated IFN-alpha- and IFN-gamma-dependent gene transcription via GAS elements. Similarly, blocking of PKC-theta kinase activity by overexpression of a dominant-negative PKC-theta mutant also blocked GAS-driven transcription, further demonstrating a requirement for PKC-theta in IFN-dependent transcriptional activation. The effects of PKC-theta on IFN-dependent gene transcription were not mediated by regulation of the IFN-activated STAT pathway, as siRNA-mediated PKC-theta knockdown had no effects on STAT1 phosphorylation and binding of STAT1-containing complexes to SIE/GAS elements. On the other hand, siRNA-mediated PKC-theta inhibition blocked phosphorylation/activation of MKK4, suggesting that interferon-dependent PKC-theta activation regulates downstream engagement of MAP kinase pathways. Altogether, these findings demonstrate that PKC-theta is an interferon-inducible kinase and strongly suggest that it plays an important role in the generation of interferon-responses in T-cells.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".