Scorpion Toxin BeKm‐1 Blocks Low K <sup>+</sup> ‐induced Endocytosis of Cell‐surface Human Ether‐a‐go‐go Related Gene (hERG) Channels
Bibliographic record
Abstract
The human ether‐a‐go‐go related gene ( hERG )‐encoded potassium channel conducts an important current for the repolarization of cardiac action potentials. hERG channel dysfunction leads to abnormal cardiac electrical activities characterized by a prolonged QT interval. We have previously shown that exposure of hERG‐expressing HEK cells to a 0 mM K + medium induces vigorous internalization of hERG but not ether‐a‐go‐go (EAG) channels from the plasma membrane. To investigate the mechanisms of 0 mM K + ‐induced hERG endocytosis, we used a chimerical channel model constructed by combining hERG and EAG, as well as drugs that bind to either the internal pore mouth of the hERG channel (E‐4031) or the extracellular edge of the pore entrance (BeKm‐1). Using Western blot analysis and whole‐cell patch clamp, our data show that replacing the S5‐S6 linker of hERG with that of bovine EAG prevented 0 mM K + ‐induced hERG endocytosis. Moreover, BeKm‐1 prevented 0 mM K + ‐induced hERG internalization. Under the whole‐cell voltage clamp configuration, acute exposure of hERG‐expressing HEK cells to 0 mM K + solution eliminated hERG conductance within 5 minutes, and the hERG conductance recovered slowly upon re‐exposure to 5 mM K + solution. The 0 mM K + exposure‐induced conductance loss was completely prevented by the application of BeKm‐1 (1 µM). We conclude that a conformational change in the outer pore‐mouth of hERG occurs upon removal of extracellular K + , which triggers hERG internalization. BeKm‐1 prevents such conformational change and the subsequent internalization of hERG channels under 0 mM K + culture conditions. (Supported by the Canadian Institutes of Health Research and the Heart and Stroke Foundation of Ontario)
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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 | 0.001 |
| 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".