Functional significance of conserved cysteines in the human organic cation transporter 2
Bibliographic record
Abstract
The significance of conserved cysteines in the human organic cation transporter 2 (hOCT2), namely the six cysteines in the long extracellular loop (loop cysteines) and C474 in transmembrane helix 11, was examined. Uptake of tetraethylammonium (TEA) and 1-methyl-4-phenypyridinium (MPP) into Chinese hamster ovary cells was stimulated >20-fold by hOCT2 expression. Both cell surface expression and transport activity were reduced considerably following mutation of individual loop cysteines (C51, C63, C89, C103, and C143), and the C89 and C103 mutants had reduced Michaelis constants (K(t)) for MPP. The loop cysteines were refractory to interaction with thiol-reactive biotinylation reagents, except after pretreatment of intact cells with dithiothreitol or following cell membrane solubilization. Reduction of disulfide bridge(s) did not affect transport, but labeling the resulting free thiols with maleimide-PEO(2)-biotin did. Mutation of C474 to an alanine or phenylalanine did not affect the K(t) value for MPP. In contrast, the K(t) value associated with TEA transport was reduced sevenfold in the C474A mutant, and the C474F mutant failed to transport TEA. This study shows that some but not all of the six extracellular loop cysteines exist within disulfide bridge(s). Each loop cysteine is important for plasma membrane targeting, and their mutation can influence substrate binding. The effect of C474 mutation on TEA transport suggests that it contributes to a TEA binding surface. Given that TEA and MPP are competitive inhibitors, the differential effects of C474 modification on TEA and MPP binding suggest that the binding surfaces for each are distinct, but overlapping in area.
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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) | 0.000 | 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) | 0.001 | 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".