Hematopoietic stem cells in human fetal liver selectively express CD49f
Bibliographic record
Abstract
Identification of phenotypes of human hematopoietic cells that display long-term mature cell outputs in vitro and repopulating capability in immunodeficient mice has been important to anticipating the therapeutic potential of fresh harvests of bone marrow or cord blood before or after their physical or genetic manipulation. However, characterizing their key properties and strategies for their isolation from multiple sources at increasing cell purities and elucidating the mechanisms that regulate their ability to sustain mature blood cell production continues to be of major interest. Previous studies have shown that fetal and adult human cells with long-term blood cell output potential are highly enriched in their respective glycosylphosphatidylinositol (GPI)-anchored surface protein GPI80+ and CD49f+ subsets of a developmentally preserved CD45+CD34+CD38-CD45RA-CD90+ population. The so-called "GPI80" hematopoietic cells found in first-trimester human fetal liver are of particular interest because of their very high regenerative capability compared with their adult or even neonatal (cord blood) "CD49f" counterparts. Here, it was hypothesized that high regenerative activity of the GPI80+ cells could be further enriched within a CD49f+ subset. We now demonstrated that coexpression of CD49f within the GPI80+ population identifies a subset with reduced short-term myeloid colony-forming activity in semisolid medium and greater progeny outputs in both 12-week growth factor-supplemented stromal cocultures and in transplanted immunodeficient mice. These findings demonstrated that CD49f is a pervasive marker of human hematopoietic stem cells (HSCs) throughout ontogeny and aging.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".