Regulation of an lncRNA <i>irf8</i> by the Ikzf1/Myb complex drives neutrophil development
Bibliographic record
Abstract
As critical executors of the immune system, neutrophils provide an immediate inflammatory response for the clearance of debris and microbes, which is essential for the protection of health. Developmentally, neutrophils and macrophages share common progenitors, whose fate is tightly controlled by transcriptional programs. Dysregulation of these programs causes severe hematological disorders, including neutropenia, neutrophilia, leukemia, and inflammatory disorders. However, the mechanisms underlying the generation of neutrophils through these programs are poorly understood. Here, we revealed that Ikzf1 and Myb were enriched in neutrophils. Overactivation of Ikzf1 promoted neutrophil generation while suppressing macrophage emergence. Conversely, the simultaneous loss of Ikzf1 and Myb, but not the individual mutations, drastically impaired neutrophil production and enlarged the macrophage pool in both zebrafish and mice. Mechanistically, Ikzf1 and Myb formed a complex that targeted irf8 and induced the expression of a long noncoding RNA (lncRNA), irf8-2 , through a regulatory element. LncRNA irf8-2 biased neutrophil commitment by modulating irf8 dosage via Zfp36l1. The deletion of irf8-2 resulted in defective neutrophil development and enhanced macrophage production. However, a partial ratio of neutrophils and macrophages was restored when Ikzf1, Myb, and Irf8 were all compromised. Overall, our study reveals that Ikzf1 and Myb cooperatively bias neutrophil development against Irf8 via the lncRNA irf8 -2 and Zfp36l. This study provides previously uncharacterized insights into the conserved molecular balance between neutrophil and macrophage development during myelopoiesis, with potential implications for understanding and treating myeloid disorders.
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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".