Ontogeny stage-independent and high-level clonal expansion in vitro of mouse hematopoietic stem cells stimulated by an engineered NUP98-HOX fusion transcription factor
Bibliographic record
Abstract
Achieving high-level expansion of hematopoietic stem cells (HSCs) in vitro will have an important clinical impact in addition to enabling elucidation of their regulation. Here, we couple the ability of engineered NUP98-HOXA10hd expression to stimulate > 1000-fold net expansions of murine HSCs in 10-day cultures initiated with bulk lin(-)Sca-1(+)c-kit(+) cells, with strategies to purify fetal and adult HSCs and analyze their expansion clonally. We find that NUP98-HOXA10hd stimulates comparable expansions of HSCs from both sources at ∼ 60% to 90% unit efficiency in cultures initiated with single cells. Clonally expanded HSCs consistently show balanced long-term contributions to the lymphoid and myeloid lineages without evidence of leukemogenic activity. Although effects on fetal and adult HSCs were indistinguishable, NUP98-HOXA10hd-transduced adult HSCs did not thereby gain a competitive advantage in vivo over freshly isolated fetal HSCs. Live-cell image tracking of single transduced HSCs cultured in a microfluidic device indicates that NUP98-HOXA10hd does not affect their proliferation kinetics, and flow cytometry confirmed the phenotype of normal proliferating HSCs and allowed reisolation of large numbers of expanded HSCs at a purity of 25%. These findings point to the effects of NUP98-HOXA10hd on HSCs in vitro being mediated by promoting self-renewal and set the stage for further dissection of this process.
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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) | 0.001 | 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".