Analysis of Uterine Natural Killer Cells in Mice
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The term uterine natural killer (uNK) cell is applied in mice to an abundant but transient NK cell population that undergoes unique, terminal differentiation within embryo implantation sites during endometrial decidualization and pregnancy. In mice, decidualization is induced by attachment and implantation of hatched, blastocyst-stage embryos. Within each implantation site, uNK cells proliferate and rapidly differentiate into highly restricted regions called decidua basalis and the mesometrial lymphoid aggregate of pregnancy (MLAp). uNK cells begin to die within healthy decidua basalis by day 8 of the 19-20 day pregnancy of mice. By gestation day 12, uNK cell numbers have peaked and most uNK cells show in situ nuclear fragmentation indicative of disintegration. Morphological studies (standard histology, ultrastructure, immunohistochemistry, in situ hybridization, and RNA analyses from laser capture microdissected uNK cells) have provided most of the current understanding regarding this cell lineage. These approaches identified the special angiogenic properties of uNK cells and their regulatory relationships with normal physiological changes to the uterine (endometrial) arterial tree that accompany successful pregnancy. This chapter highlights key information needed for successful dissection of the dynamically changing decidua basalis that is enriched in uNK cells and special morphological procedures used for uNK cell study. Preparation of viable mouse uNK cell suspensions is difficult but can be achieved. This chapter includes techniques for isolation of uterine leukocyte suspensions and their enrichment for uNK cells that permit immediate downstream applications such as culture, isolation of high quality RNA, or flow cytometry.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 it