IKAROS and AIOLOS activate AP-1 transcriptional complexes and are essential for natural killer cell development
Bibliographic record
Abstract
Abstract Ikaros family transcription factors regulate lymphocyte biology and are targets of the immunomodulatory imide drugs (IMiDs) for hematological maligancies. Ikaros (Ikzf1/IKZF1) is the most broadly expressed family member in lymphocytes, yet its role in innate lymphopoiesis was unknown. Here we used conditional gene inactivation to reveal that Ikaros is required for normal NK cell development. Ikzf1-null NK cells had impaired IL-15 signaling, manifesting in reduced proliferation and enhanced apoptosis. Cish and Socs2, known negative regulators of IL-15 signaling are increased in Ikzf1-null NK cells and are direct targets of Ikaros-mediated repression. Ikzf1-null NK cells have extensive transcriptional alterations with a striking reduction in expression of genes encoding AP-1 transcriptional complexes as well as a compensatory increase in Ikaros-family members, Ikzf2 and Ikzf3. Deletion of both Ikzf1 and Ikzf3 in NK cells further reduced AP-1 gene expression culminating in a complete loss of peripheral NK cells in mice. Inactivation of Ikaros-family members in human NK cells also impaired their fitness and function, while genetic screens revealed a co-dependency on IKZF1 and individual AP-1 genes in hematopoietic cell survival, suggesting that IMiDs induce apoptosis of malignant IKZF1/3-dependent cells by ablating AP-1 transcriptional activity. Collectively we show the Ikaros-family are novel regulators of cytokine responsiveness and essential for promoting AP-1 transcriptional activity required for NK cell development.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.005 | 0.002 |
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".