Active transport of alanine by the neutral amino-acid exchanger ASCT1
Bibliographic record
Abstract
ASCT1 protein is a member of the glutamate transporter superfamily, which shows system ASC selectivity and properties and has been characterized as a Na+-dependent neutral amino-acid exchanger. Here, by using ASCT1-expressing oocytes, the uptake of alanine and glutamate was measured to investigate ASCT1's ability to mediate a concentrative transport of alanine, ASCT1's sodium dependence, and the influence of pH on the mutual inhibition between alanine and glutamate. Alanine uptake was measured after 30 min incubation. Kinetic analysis of the Na+ dependence of alanine uptake showed an apparent K0.5 (affinity constant) value for Na+ of 23.1 +/- 4.3 mM (mean +/- SE). Concentration dependence of alanine uptake was tested at 100 and 1 mM Na+, with apparent K0.5 values of 0.16 +/- 0.04 and 1.8 +/- 0.4 mM, respectively, at pH 7.5, and 0.21 +/- 0.06 and 1.9 +/- 0.3 mM at pH 6. Vmax was not modified between 100 and 1 mM Na+ at either pH. ASCT1 actively transports alanine and accumulates it in the cytosol even when the Na+ concentration in the medium was as low as 1-3 mM. 22Na uptake studies revealed that Na+ transport was stimulated by the presence of alanine in the medium. Our results demonstrate that ASCT1 is able to mediate a concentrative transport of alanine, which is Na+-dependent but not coupled to the Na+ gradient.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".