Human embryonic stem cells maintained in the absence of mouse embryonic fibroblasts or conditioned media are capable of hematopoietic development
Bibliographic record
Abstract
To date, hematopoietic development of human embryonic stem cells (hESCs) has been limited to cell lines cultured in the presence of either mouse embryonic fibroblasts (MEFs) or MEF-conditioned media (MEF-CM). Anonymous xenogenic factors from MEFs or MEF-CM complicate studies of hESC self-renewal and also raise concerns for the potential clinical applications of generating primitive hematopoietic cells from hESC lines maintained under these ambiguous conditions. Here, we demonstrate that hESCs can be cultured over 30 passages in defined conditions in the absence of MEFs or MEF-CM using only serum replacement (SR) media and high concentrations of basic fibroblast growth factor (SR-bFGF). Similar to hESCs cultured in MEF-CM, hESCs cultured in SR-bFGF sustained characteristics of undifferentiated hESCs, proliferative potential, normal karyotype, in vitro and in vivo 3 germ-layer specification and gave rise to hemogenic-endothelial precursors required for subsequent primitive hematopoietic development. Our report demonstrates that anonymous factors produced by feeder cells are not necessary for hESC maintenance and subsequent hematopoietic specification, thereby providing a defined system for studies of hESC self-renewal and hESC-derived hematopoiesis.
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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 | 0.002 |
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".