Pathways Participating in Activation of Mouse Uterine Natural Killer Cells During Pregnancy1
Bibliographic record
Abstract
Activated natural killer (NK) cells proliferate in large numbers in murine mesometrial endometrium from Day 6 to Day 12 of gestation (term = 19 gestation days) to become the most abundant uterine lymphocytes. Early human decidua contains analogous CD56+/CD16- cells. Murine uterine (u)NK cells localize to decidua basalis and mesometrial lymphoid aggregate of pregnancy (MLAp). Decidua and MLAp are transient, pregnancy-associated tissues traversed by maternal arteries to the placentas. Uterine NK cells sensitize these arteries, facilitating their structural changes into high-volume conduits by Gestation Day 10 through release of interleukin (IL)-18, interferon (IFN)-gamma, vascular endothelial growth factor (VEGF), and other molecules. Little information exists concerning where, when, or how murine or human uNK cells become activated. In murine lymphoid tissue, three NK cell adaptor-mediated activation pathways are known: FcRgamma/CD3zeta, DNAX-activating protein (DAP) 10, and DAP12 (genes Fcgr3/Cd3z, Hcst, and Tyrobp, respectively). Expression of ligands for these receptors was demonstrated in implantation sites of normal C57BL/6J mice. Then, histological and morphometric analyses of implantation sites in mice with genetic inactivation of each pathway were undertaken. Implantation sites in DAP10-/- (Hcst deleted) mice appeared normal, spiral artery modification occurred, and concentrations of IFN-gamma in MLAp and decidua basalis were similar to those in time-matched C57BL/6J. Implantation sites of FcRgamma-/-/CD3zeta-/- (Fcgr3/Cd3z double knockout), DAP12 (Tyrobp)-loss-of-function-mutant, and FcRgamma-/-/DAP12-/- (Fcgr3/Tyrobp double knockout) mice differentiated abundant but functionally impaired uNK cells that could not modify spiral arteries. These data reveal key importance of FcRgamma-/-/CD3zeta-/- and thus maternal IgG during activation of mouse uNK cells and assign DAP12 but not DAP10 signaling contributions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 0.000 |
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 teacher head, 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".