Coordinated immune activation by distinct mononuclear phagocytes subtypes against the mismatch of minor antigens
Bibliographic record
Abstract
Abstract Recently, we identified that Batf3-dependent DCs were solely responsible for the rejection of minor antigen-mismatched grafts, and demonstrated in Batf3−/− female mice, lacking Batf3-dependent DCs, the complete acceptance of minor antigen-mismatched male cells, which are normally rejected in WT female mice. Intriguingly, this rejection occurs in the absence of PAMPs, leading to considerable uncertainty of how endogenous APC subtypes become activated and licensed to induce an adaptive immune response against male cells in female mice. Investigating this gap in knowledge is the main goal of this study. Rejection of minor antigen-mismatched grafts involves all branches of the immune system: adaptive immunity (T cells), humoral immunity (B cells) and innate immunity (DCs and antigen-presenting monocytes). Although we showed that depletion of one cell type dampens or omits the inflammatory outcome of minor antigen-mismatched graft rejection, here we show how lymphoid and myeloid cell subtypes act sequentially and in concert for the induction of minor antigen-mismatched graft rejection without the presence of PAMPs. In conclusion, we believe that understanding the mechanisms of action against minor antigen-mismatched graft rejection will also apply more broadly to other diseases such as autoimmunity and cancer, in which an immune response is elicited against self-associated minor antigens.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".