NF-κB Induction by Bisperoxovanadium Compounds Requires CD45, p36<sup>LAT</sup>, PKC, and IKK Activity and Exhibits Kinetics of Activation Comparable to Those of TCR/CD28 Coengagement
Bibliographic record
Abstract
We have previously shown that bisperoxovanadium (bpV) phosphotyrosyl phosphatase inhibitors can potently activate NF-kappaB. We have already determined that p56(lck), ZAP-70, SLP-76, capacitative entry of calcium, and calcium-regulated effectors are important in bpV-induced NF-kappaB activation. In this study, we evaluated whether other signal transducers previously reported in NF-kappaB induction by T cell activating stimuli are also activated by bpV compounds. Nuclear translocation of NF-kappaB was evaluated in cell lines deficient for either CD45 or p36(LAT) to assess the role of these signal transducers in bpV-mediated NF-kappaB activation. A deficiency of either protein greatly reduced the extent of NF-kappaB nuclear translocation following bpV treatment. Isoform-specific PKC inhibitors were then used to show that bpV compounds activate NF-kappaB through both calcium-sensitive and -insensitive PKC isoforms. The implication of the IkappaB-kinase complex was then investigated through the use of an IkappaBalpha-specific kinase assay and plasmids expressing catalytically inactive forms of IKKalpha and IKKbeta. Upstream kinases involved in IKK complex activation such as TPL-2/COT, NIK, and IKKepsilon were also shown to play an important role in bpV-mediated NF-kappaB activation. Finally, reporter gene transcriptional assays and gel shift assays were performed to compare the kinetics of activation of NF-kappaB by bpV with those of antigenic and TNFalpha stimulation. We demonstrate, both in Jurkat cells and in primary T cells, that bpV-mediated NF-kappaB activation kinetics are comparable to those of an antigenic stimulation but occur much slower than the kinetics seen upon TNFalpha treatment.
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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 | 0.000 |
| 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".