Shared requirement for dynein function and intact microtubule cytoskeleton for normal surface expression of cardiac potassium channels
Bibliographic record
Abstract
Potassium channels at the cardiomyocyte surface must eventually be internalized and degraded, and changes in cardiac potassium channel expression are known to occur during myocardial disease. It is not known which trafficking pathways are involved in the control of cardiac potassium channel surface expression, and it is not clear whether all cardiac potassium channels follow a common pathway or many pathways. In the present study we have surveyed the role of retrograde microtubule-dependent transport in modulating the surface expression of several cardiac potassium channels in ventricular myocytes and heterologous cells. The disruption of microtubule transport in rat ventricular myocytes with nocodazole resulted in significant changes in potassium currents. A-type currents were enhanced 1.6-fold at +90 mV, rising from control densities of 20.9 +/- 2.8 to 34.0 +/- 5.4 pA/pF in the nocodazole-treated cells, whereas inward rectifier currents were reduced by one-third, perhaps due to a higher nocodazole sensitivity of Kir channel forward trafficking. These changes in potassium currents were associated with a significant decrease in action potential duration. When expressed in heterologous human embryonic kidney (HEK-293) cells, surface expression of Kv4.2, known to substantially underlie A-type currents in rat myocytes, was increased by nocodazole, by the dynein inhibitor erythro-9-(2-hydroxy-3-nonyl) adenine hydrochloride, and by p50 overexpression, which specifically interferes with dynein motor function. Peak current density was 360 +/- 61.0 pA/pF in control cells and 658 +/- 94.5 pA/pF in cells overexpressing p50. The expression levels of Kv2.1, Kv3.1, human ether-a-go-go-related gene, and Kir2.1 were similarly increased by p50 overexpression in this system. Thus the regulation of potassium channel expression involves a common dynein-dependent process operating similarly on the various channels.
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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".