Deregulated expression of HOXB4 enhances the primitive growth activity of human hematopoietic cells
Bibliographic record
Abstract
Identification of the molecular mechanisms that can promote human hematopoietic stem cell amplification is a major goal in experimental and clinical hematology. Recent data indicate that a variety of regulatory molecules active in early development may also play a role in the maintenance of hematopoietic stem cells with repopulating activity. One important class of early developmental genes determining hematopoietic development are homeobox transcription factors. Here, we report that retrovirally mediated expression of the homeobox gene HOXB4 rapidly triggers an increase in the number of human hematopoietic cord blood cells with stem cell and progenitor cell properties detected both by in vitro and in vivo assays. This growth enhancement extended across primitive myeloid-erythroid and B-lymphoid progenitors but did not lead to alterations in the balance of lymphomyeloid reconstitution in vivo, suggesting that HOXB4 does not affect control of end-cell output. These findings reveal HOXB4 as a novel, positive regulator of the primitive growth activity of human hematopoietic progenitor cells and underline the relevance of early developmental factors for stem cell fate decisions.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".