Novel role of the E26 transformation-specific transcription factor Spi-C for B cell development and function (IRM8P.703)
Bibliographic record
Abstract
Abstract Transcription factors of the E26 transformation-specific family are critically important for regulating B cell development and function. Spi-B and Spi-C are highly related E26 transformation-specific transcription factors that can bind to identical DNA sequences in the genome. Spib-/- mice have reduced follicular and increased marginal zone B cell frequencies compared to WT mice. Spib-/- B cells are defective in BCR signaling, and cannot generate T-dependent antibody responses. Spi-C is expressed in developing B cells, but its function in B cell development and function is not clear. To determine if Spi-B and Spi-C are functionally redundant, we generated mice that are germline knockout for Spib and heterozygous for Spic (Spib-/-Spic+/-). Spib-/-Spic-/- mice were not born, potentially due to embryonic lethality. Interestingly, Spib-/-Spic+/- mice had restored number of B cells in the spleen, including a rescue of follicular B cells, and had restored proliferative responses compared to Spib-/- mice. Transcripts of genes important for BCR signaling were rescued in sorted follicular Spib-/-Spic+/- B cells compared to Spib-/- B cells. These results suggest a novel role for Spi-C in opposing Spi-B in B cell development and function. These findings have important implications for understanding antibody forming responses, such as those seen in vaccinations.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".