Characterization of lineage-specific expression and signaling function of mouse NKR-P1 (CD161)
Bibliographic record
Abstract
Furthermore, although it is known that the NK1.1 marker is encoded by the Nkrp1c gene, its transcriptional regulation has not been elucidated. The results presented in this thesis define the molecular basis of Nkrp1c expression in NK lineage cells. In particular, the location of the Nkrp1c transcriptional initiation site, a novel 5' untranslated exon, and the minimal functional core promoter have been identified. Furthermore, we describe the detection and analysis of a DNaseI hypersensitive site (HS1), located 9 kb upstream of the transcriptional initiation site, which exhibits NK cell-specific enhancer-like activity. Taken together, our findings identify the minimal elements necessary for conferring NK cell lineage-specific expression of the Nkrp1c gene. These findings set the stage for the further characterization of the DNA-binding factors responsible for the expression of this and other NK-specific genes, shedding light on our understanding of how NK cell functions are regulated. For over fifteen years, surface expression of the NK1.1 marker has been used to identify all cells belonging to a specific subset of lymphocytes, defining them as natural killer (NK) cells. NK1.1 epitope is shared by two closely related, but functionally opposing NK cell receptors, the stimulatory NKR-P1C and inhibitory NKR-P1B gene products. Thus, the molecular basis of NKR-P1B/C signaling in NK cells was investigated. In particular, the tyrosine kinase, Lck, was identified as the initiator of signaling for both the stimulatory and inhibitory NKR-P1 receptors. Furthermore, the amino acid motif (CxCP) was shown to mediate Lck association to the receptors, as well as the inhibitory motif (LxYxxL) responsible for their divergent functions. Most strikingly, the Lck tyrosine kinase is required for NKR-P1 activation, as NK cells from Lck-deficient mice cannot mediate NKR-P1-directed killing. Importantly, this discovery represents the first NK cell defect reported in these mice. These findings provide the foundation for a sequential model to explain the opposing functional outcomes induced by these two NKR-P1 receptors, shedding light on our understanding of how NK cell functions 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".