BCR mediated c-Rel induction facilitates NF-κB2 and RelB expression (84.22)
Bibliographic record
Abstract
Abstract B cell receptor (BCR) and B cell activating factor receptor (BAFF-R) signaling are critical for the generation of mature splenic B cells. BCR expressing Transitional type 1 (T1) cells migrate from the bone marrow to the spleen where they must successfully pass BCR mediated checkpoints to become Transitional type 2 (T2) cells and subsequently mature follicular B (FoB) cells. T1 and T2 cells are fundamentally different in their response to BCR or BAFF-R stimulation; T1 cells do not survive whereas T2 cells do when triggered through BCR or BAFF-R. Our results demonstrate that Bruton’s tyrosine kinase (Btk) plays a critical role in both BCR and BAFF-R mediated T2 and mature B cell survival. These results suggest that a potential mechanism that provides T2 cells with a survival advantage is their ability to sustain c-Rel expression in response to BCR engagement via mechanisms involving Btk. The increased c-Rel expression coincides precisely with the up-regulation of anti-apoptotic members of the Bcl-2 family as well as BAFF-R and its substrate p100 (NF-κB2). Thus, BCR indirectly enhances the survival function of BAFF-R in part through c-Rel. Consistent with a supporting role for BCR/c-Rel signaling in the activation of alternative NF-κB pathway, c-Rel-deficient B cells are impaired for BCR-induced expression of p100 as well as RelB.
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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) | 0.006 | 0.002 |
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".