Differentiation of Embryonic Stem Cells Using Pancreatic Bud-Conditioned Medium Gives Rise to Neuroectoderm-Derived Insulin-Secreting Cells
Bibliographic record
Abstract
Human embryonic stem cells can be differentiated into insulin-secreting cells by emulating in vitro the key processes that occur during embryonic development. However, the resulting cells are generally immature; thus, further research must be performed to identify the necessary factors to complete the differentiation. To this end, we cultured mouse embryonic stem cells with pancreatic bud-conditioned medium, based on a recent publication. Unlike in humans, mouse cells present two types of insulin, which can be used to identify different cell lineages. As a result, the cell product presented a neuroectodermal genetic expression pattern, with no expression of any definitive endodermal marker analyzed. Also, nonglucose-dependent insulin release was detected. Altogether, this previously published protocol results in neuroectoderm, and not definitive endoderm, derived insulin-positive cells. This further confirms the difficulty of obtaining true cell types of this germ layer. Finally, we identified a 16-kDa protein band that was present in pancreatic bud-conditioned medium. Sequencing this band revealed the presence of Reg proteins. The role of pancreatic bud-conditioned medium remains to be tested in definitive endoderm committed 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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".