Significance of the SCID Mouse Models for the Study of Normal and Leukemic Human Hemopoiesis and Gene Therapy
Bibliographic record
Abstract
The hemopoietic system is organized as a hierarchy with all myeloid and lymphoid cells arising from a small number of pluripotent stem cells. As current in vitro methods do not assay stem cells, transplantation-based models for normal and leukemic human hemopoietic cells have been developed using immune-deficient mice as recipients. In vivo models were established for adult, neonatal, and fetal human hemopoiesis, for human leukemias and for genetic disorders and gene therapy. This transplantation system can be used to characterize and purify candidate human stem cell populations. Moreover, recent studies have provided strong support for the concept that there is a hierarchy of stem and progenitor cells for human leukemias. The SCID mouse models enable analysis of the biology of and metabolization of cyto-static drugs by leukemic stem cells. In addition, they are an important tool in developing and improving gene therapy protocols by assessing the efficiency of gene transfer into primitive genetically deficient stem cells following engraftment in immune-deficient mice. Potentials and limitations of the different approaches are discussed.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".