Inhibition of Anti-IgM-induced Translocation of Protein Kinase C βI Inhibits ERK2 Activation and Increases Apoptosis
Bibliographic record
Abstract
Expression of the COOH-terminal residues 179-330 of the LSP1 protein in the LSP1(+) B-cell line W10 increases anti-IgM- or ionomycin-induced apoptosis, suggesting that expression of this LSP1 truncate (B-LSP1) interferes with a Ca(2+)-dependent step in anti-IgM signaling. Here we show that inhibition of Ca(2+)-dependent conventional protein kinase C (cPKC) isoforms with Gö6976 increases anti-IgM-induced apoptosis of W10 cells and that expression of B-LSP1 inhibits translocation of PKCbetaI but not of PKCbetaII or PKCalpha to the plasma membrane. The increased anti-IgM-induced apoptosis is partially reversed by overexpression of PKCbetaI. This shows that the B-LSP1-mediated inhibition of PKCbetaI leads to increased anti-IgM-induced apoptosis. Expression of constitutively active PKCbetaI protein in W10 cells activates the mitogen-activated protein kinase ERK2, whereas expression of B-LSP1 inhibits anti-IgM-induced activation of ERK2, suggesting that anti-IgM-activated PKCbetaI is involved in the activation of ERK2 and that inhibition of ERK2 activation contributes to the increased anti-IgM-induced apoptosis. Pull-down assays show that LSP1 interacts with PKCbetaI but not with PKCbetaII or PKCalpha in W10 cell lysates, while in vitro LSP1 and B-LSP1 bind directly to PKCbetaI. Thus, B-LSP1 is a unique reagent that binds PKCbetaI and inhibits anti-IgM-induced PKCbetaI translocation, leading to inhibition of ERK2 activation and increased apoptosis.
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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".