Extracellular Matrix Isolated From Foreskin Fibroblasts Supports Long-Term Xeno-Free Human Embryonic Stem Cell Culture
Bibliographic record
Abstract
Human embryonic stem (hES) cells hold great promise for application of human cell and tissue replacement therapy. However, the overwhelming majority of currently available hES cell lines have been directly or indirectly exposed to materials containing animal-derived components during their derivation, propagation, and cryopreservation. Unlike feeder-based cultures, which require the simultaneous growth of feeder and stem cells, resulting in mixed cell populations, stem cells grown on feeder-free systems are easily separated from the surface, presenting a pure population of cells for downstream applications. In this study, we have developed a novel method to expand hES cells in xeno-free, feeder-free conditions using 2 different matrices derived from xeno-free human foreskin fibroblasts (XF-HFFs). Using XF-HFF-derived extracellular matrix, together with 100 ng/mL recombinant bFGF-supplemented HEScGRO Basal Medium, long-term xeno-free expansion of hES cells is possible. Resulting hES cells were subjected to stringent tests and were found to maintain ES cell features, including morphology, pluripotency, stable karyotype, and expression of cell surface markers, for at least 20 passages. Xeno-free culturing practices are essential for the translation of basic hES cell research into the clinic. Therefore, the method presented in this study demonstrates that hES cells can be cultured in complete xeno-free conditions without the loss of pluripotency and furthermore, without the possibility of contamination from exogenous sources.
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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 | 0.001 |
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".