Identification of novel circulating human embryonic blood stem cells
Bibliographic record
Abstract
Using murine models, primitive hematopoietic cells capable of repopulation have been shown to reside in various anatomic locations, including the aortic gonad mesonephros, fetal liver, and bone marrow. These sites are thought to be seeded by stem cells migrating through fetal circulation and would serve as ideal targets for in utero cellular therapy. In humans, however, it is unknown whether similar stem cells exist. Here, we identify circulating hematopoeitic cells present during human in utero development that are capable of multilineage repopulation in immunodeficient NOD/SCID (nonobese diabetic/severe combined immunodeficient) mice. Using limiting dilution analysis, the frequency of these fetal stem cells was found to be 1 in 3.2 x 10(5), illustrating a 3- and 22-fold enrichment compared with full-term human cord blood and circulating adult mobilized-peripheral blood, respectively. Comparison of in vivo differentiation and proliferative capacity demonstrated that circulating fetal stem cells are intrinsically distinct from hematopoietic stem cells found later in human development and those derived from the fetal liver or fetal bone marrow compartment at equivalent gestation. Taken together, these studies demonstrate the existence of unique circulating stem cells in early human embryonic development that provide a novel and previously unexplored source of pluripotent stem cell targets for cellular and gene-based fetal therapies. (Blood. 2000;96:1740-1747)
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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 | 0.000 | 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) | 0.002 | 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".