Complementary and Independent Function for Hoxb4 and Bmi1 in HSC Activity
Bibliographic record
Abstract
Self-renewal implies the coordination between cell division and fate such that for at least one progeny, cell differentiation, proliferative senescence, and apoptosis are excluded. In contrast to mouse embryonic stem cells that undergo symmetrical self-renewal divisions in response to leukemia inhibitory factor (LIF) and bone morphogenetic protein (BMP) signaling, most adult stem cells have the capacity to undergo two distinct types of self-renewal divisions: symmetrical and asymmetrical In the hematopoietic system, HSCs undergo at least two rounds of mobilization that largely overlap with changes in proliferative status: Indeed, most HSCs are in cycle and symmetrically self-renew (thus expand) at a specific time in the mouse fetal liver (FL) and they then switch to a more quiescent program later in the bone marrow environment where the population is maintained for the entire life of the animal (no expansion, but maintenance of the population). Whether this maintenance phase is established by a balance between symmetrical self-renewal and stem cell loss, by asymmetric self-renewal division, or a combination of these processes remains unclear. In adult mice, HSC symmetrical self-renewal divisions can be experimentally triggered (reactivation of an embryonic program?) under specific conditions such as during the early phase following HSC transplantation
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".