Transplantable hematopoietic stem cells in human fetal liver have a CD34+ side population (SP)phenotype
Bibliographic record
Abstract
Cells with a verapamil-sensitive ability to efflux Hoechst 33342 (termed side population [SP] cells) have been identified in adult marrow from several species including humans and in several tissues from adult mice. In mice, the SP phenotype appears to be a common feature of stem cells, but human SP cells have been less well characterized. We show here, for the first time to our knowledge, that SP cells are present in the second-trimester human fetal liver. They include all of the transplantable human hematopoietic stem cell activity detectable in NOD/SCID mice and also certain other, more differentiated hematopoietic cell types. Notably, the stem cell activity was confined to the CD34(+)CD38(-) SP(+) population, and isolation of these cells gave an approximately tenfold enrichment of transplantable stem cells. This subset was not, however, coenriched in hematopoietic progenitors detectable by either short- or long-term in vitro assays, indicating most of these to be distinct from transplantable stem cells. These findings suggest that the SP phenotype is an important and distinguishing property of human hematopoietic stem cells and that early in ontogeny they express CD34.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.004 | 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".