Hierarchical organization of fetal and adult hematopoietic stem cells
Bibliographic record
Abstract
Mammalian hematopoiesis is a hierarchically organized process in which all types of mature blood cells are continuously generated from more primitive cells that lack any morphological evidence of differentiation. However, it is now accepted that this morphologically homogeneous precursor population consists of multiple distinct subsets of cells. The most primitive of these are defined by their ability to produce similarly undifferentiated progeny through many cell divisions, in addition to generating cells with activated differentiation programs. The term hematopoietic stem cell (HSC) is now conventionally restricted to cells with this long-term self-sustaining ability. Nevertheless, clonal tracking studies have revealed significant heterogeneity in the behavior of such stringently defined HSCs. Moreover, superimposed on the heterogeneous behavior that can be elicited from the HSCs present at any given time during development are additional differences that distinguish HSCs at different times both before and after birth. The latter include changes in the representation of HSCs that display specific differentiation programs, as well as changes in their turnover and self-renewal control. Here, we summarize recent studies characterizing these developmental changes, some of the mechanisms that control them, and their potential relevance to understanding age-associated differences in leukemia as well as normal hematopoiesis.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".