Analysis of the Human Fetal Liver Hematopoietic Microenvironment
Bibliographic record
Abstract
In the adult, hematopoietic stem cells (HSCs) are resident in the bone marrow (BM) compartment and are in direct association with the BM stromal microenvironment. However, human adult HSCs are largely quiescent and undergo limited self-renewal. This is in contrast to the higher frequency of cycling HSCs undergoing self-renewal during fetal development when hematopoiesis is transiently localized to the fetal liver (FL), suggesting that FL provides a more conducive microenvironment to support HSCs. Here, we provide phenotypic and molecular characterization of primary human FL stromal cells capable of supporting human repopulating progenitors. Qualitative and quantitative analysis revealed several properties unique to FL stromal cells compared to adult BM-derived stroma that included a greater than 10-fold enhanced proliferative capacity of FL stromal vs adult BM, and a 2-fold increase in the number of N-cadherin- and osteopontin-expressing cells. Supportive of extrinsic influences likely to modulate HSC expansion, global gene expression microarray analysis revealed that FL stroma has higher expression of regulators of the Wnt signaling pathway compared to adult BM stroma, which demonstrated an increased expression of the Notch signaling pathway. Our results suggest that human FL stromal cells provide a unique microenvironment to HSCs compared to adult BM stroma by controlling Wnt signaling of HSCs during human fetal hematopoietic development, while Notch signaling is tightly regulated by the HSC microenvironment in the adult. We propose that the human HSC niche is ontogenically controlled during human development to provide appropriate expansion of fetal HSCs and subsequent maintenance of adult HSCs.
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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) | 0.001 | 0.000 |
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".