Murine Trophoblast Cells Induce NK Cell Interferon-Gamma Production Through KLRK11
Bibliographic record
Abstract
Murine models suggest that natural killer (NK) cells are important for normal implantation site development, in part, through the production of interferon gamma (IFNG). As KLRK1 (NKG2D) is expressed on human and murine uterine NK (uNK) cells, we examined the role of KLRK1 in the interaction between murine trophoblasts and NK cells. Flow cytometric analysis revealed that both murine trophoblast stem (TS) cells and differentiated trophoblast giant cells expressed the KLRK1 ligand retinoic acid early transcript 1, or RAET1. Coculture of activated NK cells with either TS cells or giant cells led to the production of IFNG, as measured by ELISA. In addition, coculture with TS cells led to the downregulation of KLRK1. Both responses were inhibited by soluble KLRK1 ligand, but not by irrelevant protein. Further studies demonstrated the presence of KLRK1 ligand on uterine cells derived from either virgin or pregnant mice, although uterine RAET1 protein expression was upregulated in vitro by progesterone, but not estradiol. We suggest that the interaction of KLRK1 and RAET1 may be involved in IFNG production by uNK cells, and thus, this receptor-ligand pair may contribute to successful murine implantation site development.
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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) | 0.002 | 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".