<scp>BIM</scp> determines the number of merocytic dendritic cells, a cell type that breaks immune tolerance
Bibliographic record
Abstract
In contrast to conventional dendritic cells (cDC), when merocytic dendritic cells (mcDC) present antigens derived from apoptotic bodies, T-cell anergy is reversed rather than induced, a process that promotes autoimmunity. Interestingly, mcDC are present in higher proportion in type 1 diabetes-prone NOD mice than in autoimmune-resistant B6 and BALB/c mice, and the Insulin-dependent diabetes (Idd)13 locus is linked to mcDC proportion. Therefore, mcDC are notably associated with susceptibility to autoimmune diabetes. To identify which gene determines the proportion and absolute number of mcDC, we undertook a candidate gene approach by selecting relevant candidates within the Idd13 locus. We find that neither β2m nor Sirpa appear to influence the proportion of mcDC. Instead, we show that Bim effectively modulates mcDC number in a hematopoietic-intrinsic manner. We also demonstrate that Bim-deficiency does not impact other cDC subsets and appears to play a specific role in determining the proportion and absolute number of mcDC by promoting their survival. Together, these data demonstrate that Bim specifically modulates the number of mcDC. Identifying factors that facilitate apoptosis of mcDC by increasing BIM activity in a cell type-specific manner may help prevent autoimmunity.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".