Pharmacological and molecular characterization of glutamate receptors in the MIN6 pancreatic β-cell line
Bibliographic record
Abstract
The MIN6 pancreatic beta-cell line responds to glutamate, alpha-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) and kainate, but not N-methyl-D-aspartate (NMDA) or 1S,3R-trans-ACPD, with increases in [Ca2+]i. This correlates with MIN6 expression of AMPA receptor subunits (GluR1-4) but only weak expression of NMDA NR2 receptor subunits, as determined by reverse transcriptase polymerase chain reaction (RT-PCR). Pharmacological characterization of the MIN6 AMPA receptors showed that AMPA-triggered [Ca2+]i responses were blocked by GYKI 52466, 6-cyano-7-nitroquinoxaline-2,3-dione (CNQX) and pentobarbital. AMPA-triggered [Ca2+]i responses were also blocked in Na(+)-free medium and by the voltage-sensitive Ca2+ channel antagonist La3+. Unlike cortical neuronal cultures, which show a loss of membrane-associated protein kinase C (PKC) activity and die in response to excitatory amino acid exposure, glutamate was not toxic to MIN6 cells and it did not decrease PKC activity. These studies indicate that MIN6 cells possess Ca(2+)-impermeable AMPA receptors that secondarily allow Ca2+ influx following AMPA-induced depolarization and that, despite elevating [Ca2+]i, AMPA is not toxic to these cells. The effects of glutamate and glutamate receptor antagonists on pancreatic cells needs to be better understood if these compounds are to be used as therapeutic agents to treat stroke.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".