Kinetics and genomic profiling of adult human and mouse β-cell maturation
Bibliographic record
Abstract
Diabetes is a multifactorial metabolic disorder defined by the loss of functional pancreatic insulin-producing β-cells. The functional maturation and dedifferentiation of adult β-cells is central to diabetes pathogenesis and to β-cell replacement therapy for the treatment of diabetes. Despite its importance, the dynamics and mechanisms of adult β-cell maturation remain poorly understood. Using a novel Pdx1/Ins1 dual fluorescent reporter lentiviral vector, we previously found that individual adult human and mouse β-cells exist in at least two differentiation states distinguishable by the activation of the rat Ins1 promoter and performed the first real-time imaging of the maturation of individual cultured β-cells. Our previous study focused on transformed (MIN6) β-cells as a model to investigatethe kinetics of β-cell maturation. In the present study, we investigated the kinetics of the maturation process in primary human and mouse β-cells and performed gene expression profiling. Gene expression profiling of FACS purified immature Pdx1 (+) /Ins1 (low) cells and mature Pdx1 (high) /Ins1 (high ) cells from cultures of human islets, mouse islets and MIN6 cells revealed that Pdx1 (+) /Ins1 (low) cells are enriched for multiple genes associated with β-cell development/progenitor cells, proliferation, apoptosis, as well as genes coding for other islet cell hormones such as glucagon. We also demonstrated that the heterogeneity in β-cell maturation states previously observed in vitro, can also be found in vivo. Collectively, these experiments contribute to the understanding of maturation, dedifferentiation and plasticity of adult pancreatic β-cells. The results have significant implications for islet regeneration and for in vitro generation of functional β-cells to treat 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".