NK Cell–Specific Gata3 Ablation Identifies the Maturation Program Required for Bone Marrow Exit and Control of Proliferation
Bibliographic record
Abstract
NK cells are innate lymphocytes capable of eliciting an innate immune response to pathogens. NK cells develop and become mature in the bone marrow (BM) before they migrate out to peripheral organs. Although the developmental program leading to mature NK cells has been studied in the context of several transcription factors, the stage-specific role of GATA3 in NK cell development has been incompletely understood. Using NKp46-Cre-Gata3(fl/fl) mice in which Gata3 deficiency was induced as early as the immature stage of NK cell differentiation, we demonstrated that GATA3 is required for the NK cell maturation beyond the CD27 single-positive stage and is indispensable for the maintenance of liver-resident NK cells. The frequencies of NK cells from NKp46-Cre-Gata3(fl/fl) mice were found higher in the BM but lower in peripheral organs compared with control littermates, indicating that GATA3 controls the maturation program required for BM egress. Despite the defect in maturation, upon murine CMV infection, NK cells from NKp46-Cre-Gata3(fl/fl) mice expanded vigorously, achieving NK cell frequencies surpassing those in controls and therefore provided comparable protection. The heightened proliferation of NK cells from NKp46-Cre-Gata3(fl/fl) mice was cell intrinsic and associated with enhanced upregulation of CD25 expression. Taken together, our results demonstrate that GATA3 is a critical regulator for NK cell terminal maturation and egress out of the BM and that immature NK cells present in the periphery of NKp46-Cre-Gata3(fl/fl) mice can rapidly expand and provide a reservoir of NK cells capable of mounting an efficient cytotoxic response upon virus infection.
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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".