Production of Islet-Like Structures from Neonatal Porcine Pancreatic Tissue in Suspension Bioreactors
Bibliographic record
Abstract
The aim of this study was to develop a scaleable process to expand pancreatic endocrine tissue (i.e., aggregates or islet-like structures) in suspension bioreactors. Key issues addressed included (i) serum-free media, (ii) cell inoculation density, (iii) medium pH, and (iv) aggregate dissociation. Suspension bioreactors were inoculated with pancreatic neonatal tissue and operated under controlled conditions for a 9-day period. Medium studies showed that a new serum-free medium developed in our laboratory was capable of supporting endocrine cell expansion. An inoculation density of 127,000 cells/mL resulted in more than a 7.5-fold increase in the number of insulin-positive cells after 9 days. The resulting population consisted of single cells and many islet-like aggregates that contained all of the endocrine cell types (including insulin-positive, glucagon-positive, somatostatin-positive, and pancreatic polypeptide-positive cells). Furthermore, the cell aggregates exhibited a glucose-responsive behavior. This study represents a significant milestone on the path to the effective expansion of human islet-like tissue in bioreactors that may be used for cell therapy to treat Type 1 diabetes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".