Combination of HOXB4 and Delta-1 ligand improves expansion of cord blood cells
Bibliographic record
Abstract
Umbilical cord blood (UCB) is an attractive cell source for hematopoietic cell transplantation (HCT). Here we examine whether the combination of homeobox B4 (HOXB4) and Delta-1 ligand (DL) synergize when used together. Monkey and human UCB CD34(+) cells were transduced with a HOXB4-expressing gammaretroviral vector and cultured with DL. Individual and combined effects of HOXB4 and DL were assessed by colony-forming unit assays, flow cytometry, and nonobese diabetic/severe combined immune deficienct mouse transplantation. The presence of DL yielded higher percentage of CD34(+) and CD7(+) cells and lower percentages of CD14(+) cells than non-DL cultures. Furthermore, HOXB4 yielded higher percentages of CD34(+) and CD14(+) cells than non-HOXB4 cultures. Interestingly, coculture with DL-expressing OP9 cells resulted in better maintenance of HOXB4 than culture in DL-conditioned medium. Culture of HOXB4-transduced human cells in the presence of DL yielded enhanced generation of repopulating cells with higher levels of engraftment of human CD45(+), CD34(+), CD3(+), CD20(+), and CD41(+) cells compared with either factor individually. Our results demonstrate enhanced generation of hematopoietic progenitors by combining HOXB4 and DL; addition of DL further enhances expansion of multipotent cells capable of repopulating lymphoid and megakaryocyte lineages, which is not observed with HOXB4 alone.
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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 | 0.001 |
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".