INS GFP/w human embryonic stem cells facilitate isolation of in vitro derived insulin-producing cells
Bibliographic record
Abstract
AIMS/HYPOTHESIS: We aimed to generate human embryonic stem cell (hESC) reporter lines that would facilitate the characterisation of insulin-producing (INS⁺) cells derived in vitro. METHODS: Homologous recombination was used to insert sequences encoding green fluorescent protein (GFP) into the INS locus, to create reporter cell lines enabling the prospective isolation of viable INS⁺ cells. RESULTS: Differentiation of INS(GFP/w) hESCs using published protocols demonstrated that all GFP⁺ cells co-produced insulin, confirming the fidelity of the reporter gene. INS-GFP⁺ cells often co-produced glucagon and somatostatin, confirming conclusions from previous studies that early hESC-derived insulin-producing cells were polyhormonal. INS(GFP/w) hESCs were used to develop a 96-well format spin embryoid body (EB) differentiation protocol that used the recombinant protein-based, fully defined medium, APEL. Like INS-GFP⁺ cells generated with other methods, those derived using the spin EB protocol expressed a suite of pancreatic-related transcription factor genes including ISL1, PAX6 and NKX2.2. However, in contrast with previous methods, the spin EB protocol yielded INS-GFP⁺ cells that also co-expressed the beta cell transcription factor gene, NKX6.1, and comprised a substantial proportion of monohormonal INS⁺ cells. CONCLUSIONS/INTERPRETATION: INS(GFP/w) hESCs are a valuable tool for investigating the nature of early INS⁺ progenitors in beta cell ontogeny and will facilitate the development of novel protocols for generating INS⁺ cells from differentiating hESCs.
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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) | 0.001 | 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".