The UL16‐binding proteins, a novel family of MHC class I‐related ligands for NKG2D, activate natural killer cell functions
Bibliographic record
Abstract
The UL16-binding proteins (ULBPs) are a novel family of MHC class I-related molecules (MICs) that were identified based on their ability to bind to the human cytomegalovirus (HCMV) glycoprotein UL16. UL16 also binds to a member of another family of MHC class I-like molecules, MICB. The ULBPs and MICs are ligands for NKG2D/DAP10, an activating receptor expressed by natural killer (NK) cells and other immune effector cells, and this interaction can be blocked by UL16. Engagement of NKG2D/DAP10 by ULBPs or MICs expressed on a target cell can overcome an inhibitory signal generated by NK-cell recognition of MHC class I molecules and trigger NK cytotoxicity. ULBPs elicit their effects on NK cells by activating the janus kinase 2, signal transducer and activator of transcription 5, extracellular-signal-regulated kinase mitogen-activated protein kinase and Akt/protein kinase B signal transduction pathways. Although ULBPs alone activate multiple signaling pathways and induce modest cytokine production, ULBPs synergize strongly with interleukin-12 for production of interferon-gamma by NK cells. This finding is consistent with reports in T cells that NKG2D/DAP10 can act as a co-stimulatory receptor in a similar manner as CD28. The possible roles of ULBPs in mediating immune responses to viruses and tumors and the potential mechanisms by which UL16 may allow HCMV to evade immune detection are areas of active investigation.
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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) | 0.003 | 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".