Quantitation of Murine and Human Hematopoietic Stem Cells by Limiting-Dilution Analysis in Competitively Repopulated Hosts
Bibliographic record
Abstract
In designing functional assays for the various classes of hematopoietic cells described in this book, one needs to consider the properties of the cell to be measured which must be incorporated into the assay design, and the end points to allow its specific detection. The most primitive hematopoietic stem cells (HSC) in mouse and man are characterized by two cardinal properties that distinguish them from more mature clonogenic cells and their terminally differentiated progeny. Firstly, HSCs are pluripotent: they are characterized by the potential to differentiate into all of the eight major lineages of lymphoid, myeloid, and erythroid cells in vivo (1-3). Secondly, HSCs are able to self-renew, or generate daughter stem cells in vivo and in vitro that are functionally identical to the stem cell that gave rise to them (3-5). These hallmark properties of HSCs are measured empirically by their potential to regenerate and maintain lymphocytes, granulocytes, and erythrocytes upon transplantation into lethally irradiated or immunocompromised primary and secondary hosts. However, functional assays for primitive HSCs must also consider the fact that differentiated cells present in the hematopoietic organs at different times after bone marrow transplantation are derived from different types of precursors (6), and particularly at later times, cannot be assumed to be of donor origin (7). Support for this concept derives from the relatively recent demonstration in mice that most, if not all, spleen colonies detectable ≈ 2 wk after transplantation originate.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".