Mast Cells and Basophils Are Selectively Activated In Vitro and In Vivo through CD200R3 in an IgE-Independent Manner
Bibliographic record
Abstract
Mast cells and basophils have been implicated in the host defense system against pathogens and in the development of allergic disorders. Although IgE-dependent responses via FcepsilonRI on these cells have been extensively studied, little is known about cell surface molecules that are selectively expressed by these cells and engaged in their activation via an IgE-independent mechanism. We have recently established two mAbs that reacted specifically with murine mast cells and basophils, and one of them selectively depleted basophils when administered in vivo. Biochemical and flow cytometric analyses revealed that both mAbs specifically recognized a CD200R-like protein, CD200R3, but not other CD200R family members. CD200R3 existed as a disulfide-linked dimer, unlike other CD200Rs, and was expressed on mast cells and basophils primarily in association with an ITAM-bearing adaptor DAP12. Cross-linking of CD200R3 with the mAbs induced degranulation in mast cells and production of the cytokine IL-4 in basophils in vitro. Administration of the nondepleting mAb in vivo elicited systemic and local anaphylaxis in a CD200R3-dependent manner. These results suggest that CD200R3 functions as an activating receptor on mast cells and basophils to regulate IgE-independent immune responses in cooperation with an inhibitory receptor CD200R, similar to the paired receptors expressed on NK cells.
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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) | 0.002 | 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 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".