KIR enrichment at the effector‐target cell interface is more sensitive than signaling to the strength of ligand binding
Bibliographic record
Abstract
Target cell lysis by natural killer cells is inhibited by killer cell immunoglobulin-like receptors (KIR) that bind major histocompatibility complex class I molecules. Many lymphocyte receptors, including KIR, become enriched at the interface with ligand-bearing cells. The contribution of the enrichment to inhibitory signaling has not been determined. We now describe a KIR variant with enhanced green fluorescent protein (EGFP) at the N terminus that can mediate inhibitory signaling, but its enrichment is markedly reduced. This receptor is only slightly weaker at inhibiting lysis than the same KIR tagged with EGFP in the cytoplasmic tail, even though the latter enriched as extensively as wild-type KIR. A slight defect was also detected in the ability of the receptor to reduce adhesion to target cells and for binding of a soluble counterpart to cell surface HLA-C. Our findings suggest that the strength of the interaction required to readily detect receptor enrichment exceeds that required for signaling.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".