PKCη directs induction of IRF-4 expression and Ig κ gene rearrangement in pre-BCR signaling pathway
Bibliographic record
Abstract
Pre-B cell receptor (pre-BCR) signals promote pre-B cell differentiation, in which the adaptor protein B-cell linker (BLNK) plays a crucial role. However, the molecular pathways downstream of BLNK are currently unclear. Utilizing pre-B leukemia cell lines (BKO84 and others) derived from BLNK-deficient mice as in vitro models of the pre-B cell differentiation, we have demonstrated that reconstitution of BLNK as well as an active form of protein kinase C (PKC)eta induces the differentiation events, such as pre-BCR down-regulation and kappa gene rearrangement. Here we show that the same events are induced by cross-linking of pre-BCR with anti-mu antibody in these pre-B cell lines, as well as in ex vivo pre-B cells from BLNK-deficient mice, suggesting a function of BLNK as an internal cross-linker of pre-BCR. Anti-mu treatment of BKO84 cells up-regulated membrane recruitment of PKC eta and the expression of IRF-4, a transcription factor known to promote light chain gene rearrangements. Anti-mu induction of surface kappa chain on BKO84 cells was blocked by reagents that inhibit phospholipase C or PKC. Enforced expression of the active PKC eta in BKO84 cells resulted in up-regulation of IRF-4 expression. Conversely, siRNA-mediated silencing of PKC eta expression strikingly attenuated the anti-mu-induced IRF-4 expression and kappa gene rearrangement, which were restored by PKC eta reconstitution. Finally, enforced expression of IRF-4, but not of BLNK, in the PKC eta-silenced BKO84 cells resulted in kappa gene rearrangement. These results indicate that PKC eta directs the induction of IRF-4 expression downstream of BLNK in the pre-BCR signaling pathway promoting kappa gene rearrangement.
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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".