Differential transcription of Eomes and T-bet during maturation of mouse uterine natural killer cells
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Bibliographic record
Abstract
During human and rodent uterine decidualization, transient but abundant numbers of uterine natural killer (uNK) cells appear, proliferate, and differentiate. uNK cells share features with peripheral NK cells but are specialized to promote interferon-gamma (IFN-gamma)-mediated, pregnancy-associated, structural changes in maternal placental arteries. In CD8+ T cells and NK cells, the transcription factors T-bet and eomesodermin (Eomes) regulate maturation and effector functions, including IFN-gamma production. No studies are reported for uNK cells. Implantation sites in T-bet null mice, which have a defect in NK cell maturation, had uNK cells normal in morphology and number and normally modified spiral arteries. As Eomes null mice are not viable, real-time polymerase chain reaction comparisons between C57Bl/6J (B6) and alymphoid (Rag2(0/0)gammac0/0) mice were used to assess uNK cell expression of T-bet, Eomes, and the target genes IFN-gamma, granzyme A, and perforin. Gestation dated (gd) uterine tissues (mixed cell composition) and 200 morphologically homogeneous, laser-capture, microdissected uNK cells of different maturation stages were used. In uterus, Eomes transcripts greatly outnumbered those of T-bet, whether donors were nonpregnant or pregnant, and increased to gd10. In uNK cells, transcripts for T-bet, Eomes, and IFN-gamma were most abundant in mature stage cells, and transcripts for granzyme A and perforin were lower at this stage than in immature or senescent cells. Thus, Eomes dominance to T-bet discriminates regulation of the uNK cell subset from that observed for peripheral NK cells.
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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 | 0.000 | 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 it