Electrophysiological Characterization of Pancreatic Islet Cells in the Mouse Insulin Promoter-Green Fluorescent Protein Mouse
Bibliographic record
Abstract
We recently reported a transgenic [mouse insulin promoter (MIP)-green fluorescent protein (GFP)] mouse in which GFP expression is targeted to the pancreatic islet beta-cells to enable convenient identification of beta-cells as green cells. The GFP-expressing beta-cells of the MIP-GFP mouse were functionally indistinguishable from beta-cells of normal mice. Here we characterized the ionic channel properties and exocytosis of MIP-GFP mouse islet beta- and alpha-cells. Beta-cells displayed delayed rectifying K+ and high-voltage-activated Ca2+ channels and exhibited Na+ currents only at hyperpolarized holding potential. Alpha-cells were nongreen and had both A-type and delayed rectifier K+ channels, both low-voltage-activated and high-voltage-activated Ca2+ channels, and displayed Na+ currents readily at -70 mV holding potential. Alpha-cells had ATP-sensitive K+ channel (KATP) channel density as high as that in beta-cells, and, surprisingly, alpha-cell KATP channels were more sensitive to ATP inhibition (IC50=0.16+/-0.03 mM) than beta-cell KATP channels (IC50=0.86+/-0.10 mM). Whereas alpha-cells were rather uniform in size [2-4.5 picofarad (pF)], beta-cells varied vastly in size (2-12 pF). Of note, small beta-cells (<4.5 pF) showed little exocytosis, whereas medium beta-cells (5-8 pF) exhibited vigorous exocytosis, but large beta-cells (>8 pF) had weaker exocytosis. We found no correlation between beta-cell size and their Ca2+ channel density, suggesting that Ca2+ influx may not be the cause of the heterogeneity in exocytotic responses. The MIP-GFP mouse therefore offers potential to further explore the functional heterogeneity in beta-cells of different sizes. The MIP-GFP mouse islet is therefore a reliable model to efficiently examine alpha-cell and beta-cell physiology and should greatly facilitate examination of their pathophysiology when the MIP-GFP mice are crossed with diabetic models.
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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".