Identification of Upstream cis-Acting Regulatory Elements Controlling Lineage-specific Expression of the Mouse NK Cell Activation Receptor, NKR-P1C
Bibliographic record
Abstract
Mouse NKR-P1C (NK1.1) is a homodimeric type II transmembrane protein expressed on natural killer (NK) cells, NKT cells, and on CD117+ progenitor thymocytes capable of giving rise to cells of the T and NK lineages. Although its physiological ligands remain unknown, NKR-P1C engagement with a monoclonal antibody (mAb) leads to interferon-gamma (IFN-gamma) production and the directed release of cytotoxic granules from NK cells. We have cloned and sequenced a approximately 10-kb genomic fragment corresponding to the 5'-flanking region of the C57Bl/6 mouse NKR-P1C gene. A transcriptional initiation site has been mapped in NK cells and an NK1.1+ T cell line by primer extension and rapid amplification of 5'-cDNA ends (5'-RACE) techniques. Although the 5'-flanking region of NKR-P1C is TATA-less, we have identified an initiator region and a downstream promoter element, which together constitute the principal minimal functional promoter. Computational analysis of the 10-kb 5'-flanking region revealed potential regulatory factor binding sites. DNaseI hypersensitivity assays identified a single hypersensitive site (HS) about a 9-kb upstream of the transcriptional initiation site. This site, termed HS1, was able to act as a transcriptional enhancer element in an NK cell line, while minimally affecting transcription in non-NK cell lines. Moreover, the HS1 element was shown to function as a promoter, with a transcript detected only in fetal NK1.1+ cells. An additional promoter and two non-coding exons were also characterized. These results identify the minimal upstream cis-acting elements, and point to a complex regulatory mechanism involved in the lineage-specific control of NKR-P1C expression in NK lymphocytes.
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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 | 0.001 |
| 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".