The mouse NKR-P1B:Clr-b recognition system is a negative regulator of innate immune responses
Bibliographic record
Abstract
NKR-P1B is a homodimeric type II transmembrane C-type lectinlike receptor that inhibits natural killer (NK) cell function upon interaction with its cognate C-type lectin-related ligand, Clr-b. The NKR-P1B:Clr-b interaction represents a major histocompatibility complex class I (MHC-I)-independent missing-self recognition system that monitors cellular Clr-b levels. We have generated NKR-P1B(B6)-deficient (Nkrp1b(-/-)) mice to study the role of NKR-P1B in NK cell development and function in vivo. NK cell inhibition by Clr-b is abolished in Nkrp1b(-/-) mice, confirming the inhibitory nature of NKR-P1B(B6). Inhibitory receptors also promote NK cell tolerance and responsiveness to stimulation; hence, NK cells expressing NKR-P1B(B6) and Ly49C/I display augmented responsiveness to activating signals vs NK cells expressing either or none of the receptors. In addition, Nkrp1b(-/-) mice are defective in rejecting cells lacking Clr-b, supporting a role for NKR-P1B(B6) in MHC-I-independent missing-self recognition of Clr-b in vivo. In contrast, MHC-I-dependent missing-self recognition is preserved in Nkrp1b(-/-) mice. Interestingly, spontaneous myc-induced B lymphoma cells may selectively use NKR-P1B:Clr-b interactions to escape immune surveillance by wild-type, but not Nkrp1b(-/-), NK cells. These data provide direct genetic evidence of a role for NKR-P1B in NK cell tolerance and MHC-I-independent missing-self recognition.
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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) | 0.000 | 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) | 0.000 | 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".