Culture and Characterization of Human Embryonic Stem Cells
Bibliographic record
Abstract
Human embryonic stem (ES) cells offer substantial opportunities for providing well-defined differentiated cells for drug discovery, toxicology, and regenerative medicine, but the development of efficient techniques for their large-scale culture under defined conditions, and for controlling and directing their differentiation, presents a substantial challenge. Markers for defining the undifferentiated cells are well established, based upon previous studies of embryonal carcinoma (EC) cells, their malignant counterparts from teratocarcinomas. These provide valuable tools for monitoring human ES cultures and their state of differentiation. However, current culture techniques are suboptimal and involve the use of poorly defined culture media and the use of feeder cells. Over time, the cells may also acquire karyotypic changes, reflecting genetic selection and adaptation to in vitro culture conditions. Nevertheless, progress is being made. Originally, human ES cells were derived and maintained in medium containing fetal calf serum. They are now widely cultured in a proprietary serum-free formulation (serum replacement from Invitrogen Corp., Carlsbad, CA), and recently we have derived a new human ES line in this medium without fetal calf serum. Human fibroblasts can also be used to replace mouse embryo fibroblasts as feeder cells. We have now found it possible to culture a subline of human ES cells on Matrigel, or purified collagen type IV, laminin, and fibronectin, without feeders or feeder-conditioned medium. These cells nevertheless retain the features of undifferentiated human ES cells, including a capacity for differentiation. Although these cells also carried karyotypic changes, further research focused upon understanding the mechanisms that control self-renewal, apoptosis, and commitment to differentiation will facilitate the development of defined culture conditions that minimize genetic change and optimize the maintenance of the undifferentiated stem cells.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.005 |
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".