Substrate exchange properties of the high‐affinity glutamate transporter EAAT2
Bibliographic record
Abstract
A stable cell line expressing the predominant brain glutamate transporter EAAT2 was used for the characterization of substrate exchange as a biochemical index for discriminating between substrate and non-substrate inhibitors of the cloned EAAT2 transporter. Addition of 1 mM unlabeled D-aspartate to cells equilibrated with [3H]D-aspartate produced a time-dependent depletion of the [3H] label retained by the cells. L-Aspartate, L-glutamate and L-cysteate produced an equivalent degree of [3H] exchange to that observed with D-aspartate, although the non-substrate EAAT2 inhibitor dihydrokainate and D-glutamate, which does not interact with the substrate binding site, failed to stimulate [3H]D-aspartate exchange. Estimation of EC50 values for the stimulation of [3H] exchange by D-aspartate, L-glutamate and L-trans-2,4-pyrollidine carboxylate (trans-PDC) produced values that were in excellent agreement with the corresponding IC50 values for the same compounds to inhibit EAAT2 uptake. Moreover, trans-PDC was found to produce a lower maximal exchange than that observed with D-aspartate, consistent with the known partial EAAT2 substrate activity of trans-PDC. The estimate of drug induced [3H] efflux with the cloned EAAT2 transporter represents a convenient biochemical assay for the discrimination of substrate and non-substrate inhibitors of the EAAT2 subtype.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".