Heterogeneity in composition of mouse uterine natural killer cell granules
Bibliographic record
Abstract
uNK cells differ from cNK cells, as they produce angiogenic molecules critical for normal implantation site development. We evaluated heterogeneity among DBA(+)uNK cells for Prf, Gzma, and Vegfa. Ctsd and Srgn expression was used to assign intracellular sorting of these molecules on gd7, -9, and -14. Vegfa was present in small, granule-free DBA(+)uNK cells at gd7 and in large, granule-rich DBA(+)uNK cells at gd9 and -14. Prf and Gzma were only found in granulated DBA(+)uNK cells (gd9 and -14). All granule-rich Prf(+)DBA(+)uNK cells appeared to coexpress Vegfa. Thus, all DBA(+)uNK cells were Vegfa-producing cells. PC analysis and immunogold ultrastructure confirmed colocalization of Prf/Ctsd in secretory-lysosome granules (PC>0.5). Surprisingly, Gzma and Prf(+)Ctsd(+) were not colocalized (PC<0.5). Rather, Gzma colocalized with Srgn (PC>0.5) in small granules in cells with Vegfa expression (PC<0.5). NK1.1(+)sNK cells and DBA(+)uNK cells expressed genes regulating vesicular traffic (rab11, rab27a, snap23, vamp7), but uNK cells also expressed rab34 and vamp8, molecules associated with constitutive secretion. SEE activated the regulated secretory pathway of DBA(+)uNK cells in vivo, mobilizing Prf and Gzma but not Vegfa. Thus, DBA(+)uNK cells display constitutive and regulated secretion. Further, these results demonstrate that granule-free DBA(+)uNK cells are not quiescent immature cells, but they are cells with potentially significant angiogenic roles before and in addition to their initiation of spiral arterial remodeling.
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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 | 0.001 | 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".