Telomeres in Hematopoietic Stem Cells
Bibliographic record
Abstract
Hematopoietic stem cells have an impressive regenerative potential, strikingly illustrated in transplantation experiments using limited number of cells. In mice, serial transplantation experiments suggest that individual hematopoietic cells are capable of extensive self-renewal and that any possible limitations in the replicative potential of individual hematopoietic stem cells are not affecting normal blood cell formation. The situation with human hematopoietic stem cells is less clear. Unlike the situation in the mouse, the telomere length in nucleated human blood cells shows a remarkable decline with age. Furthermore, even partial telomerase deficiency in humans typically results in marrow failure, whereas complete lack of telomerase is tolerated up to several generations in the mouse. The decline in telomere length in human leukocytes with age follows a cubic function and is much higher in lymphocytes than in granulocytes. This finding suggests that, under normal circumstances, telomere loss is more likely to compromise the function of lymphocytes than the function of hematopoietic stem cells. To reconcile differences in telomere biology between man and mice, it has been proposed that telomere shortening evolved as a tumor suppressor mechanism in long-lived species that may not exist in shorter-lived mammals. According to this model, telomeres in human cells are intimately involved in signaling cell cycle progression and cell division. Most likely, a minimum number of telomere repeats is required at each telomere to prevent activation of a "telomere checkpoint" and allow cell cycle progression. Telomere length measurements appear useful to distinguish between depletion and exhaustion of hematopoietic stem cells as a cause of marrow failure.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".