NKR-P1B Receptor Expression and Function in the Different Innate Lymphoid Cells of the Lung
Bibliographic record
Abstract
Group 2 innate lymphoid cells (ILC2) are the majority of ILCs in murine lungs at steady state. ILC2s are the main producer of type-2-cytokines, IL-4, IL-5, IL-9, IL-13, and amphiregulin, playing key roles in lung tissue homeostasis, airway responses to pathogens and allergens, and in cancer-related defenses. ILC functions are regulated by cell surface receptors. NKR-P1B is an inhibitory receptor, which recognizes C-type lectin-related protein (Clr-b) as its ligand. NKR-P1B is expressed on subsets of natural killer cells, ILC2, ILC3, γδ T cells, macrophages and dendritic cells in a tissue-specific manner and regulates NK cell and ILC3 functions in the gut. Expression and function of NKR-P1B in the lung ILC populations is unexplored. Moreover, Clr-b, the ligand for NKR-P1B, is expressed in the bronchial epithelium, endothelial cells and in lung parenchyma, but its role in immune regulation in the lung is unknown. We hypothesize that ILC2s in the lung express NKR-P1B, and their function is regulated by the NKR-P1B:Clr-b recognition system. Using wild-type (WT) and NKR-P1B-deficient mice, we study the expression of NKR-P1B on lung ILC2, and the function of NKR-P1B:Clr-b recognition system in ILC2 development and function. We compare the phenotype, frequency, numbers and cytokine production by ILC2s upon stimulation between WT and NKR-P1B-deficient mice using antibody staining and flow cytometry analysis. This study will reveal the role of NKR-P1B as a model system for its human homolog, NKR-P1A, in the regulation of ILC development and function, advancing our understanding of how immune responses in the lung are regulated.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 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".