Lentivector-mediated clonal tracking reveals intrinsic heterogeneity in the human hematopoietic stem cell compartment and culture-induced stem cell impairment
Why this work is in the frame
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Bibliographic record
Abstract
Knowledge of the composition and interrelationship of the various hematopoietic stem cells (HSCs) that comprise the human HSC pool and the consequence of culture on each class is required for effective therapies based on stem cells. Clonal tracking of retrovirally transduced HSCs in nonobese diabetic/severe combined immunodeficient (NOD/SCID) mice revealed heterogeneity in the repopulation capacity of SCID-repopulating cells (SRCs). However, it is impossible to establish whether HSC heterogeneity is intrinsic or whether the culture conditions required for retroviral transduction induce qualitative and quantitative alterations to SRCs. Here, we report establishment of a clonal tracking method that uses lentivectors to transduce HSCs with minimal manipulation during overnight culture without cytokine stimulation. By serial bone marrow (BM) sampling of mice receiving transplants, short-term SRCs (ST-SRCs) and long-term SRCs (LT-SRCs) were identified on the basis of repopulation dynamics demonstrating that their existence is not an experimental artifact but reflects the state of the HSC pool. However, 4 days of culture in conditions previously used for SRC retroviral transduction significantly reduced SRC number as assessed by clonal analysis. These studies provide a foundation to understand the molecular and cellular determinants of human HSC development and to develop therapies targeted to specific HSC classes.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 it