Internalized Kv1.5 traffics via Rab‐dependent pathways
Bibliographic record
Abstract
Little is known about the postinternalization trafficking of surface-expressed voltage-gated potassium channels. Here, for the first time, we investigate into which of four major trafficking pathways a voltage-gated potassium channel is targeted after internalization. In both a cardiac myoblast cell line and in HEK293 cells, channels were found to internalize and to recycle quickly. Upon internalization, Kv1.5 rapidly associated with Rab5-and Rab4-positive endosomes, suggesting that the channel is internalized via a Rab5-dependent pathway and rapidly targeted for recycling to the plasma membrane. Nevertheless, as indicated by colocalization with Rab7, a fraction of the channels are targeted for degradation. Recycling through perinuclear endosomes is limited; colocalization with Rab11 was evident only after 24 h postsurface labelling. Expression of dominant negative (DN) Rab constructs significantly increased Kv1.5 functional expression. In the myoblast line, Rab5DN increased Kv1.5 current densities to 1305 +/- 213 pA pF(-1) from control 675 +/- 81.6 pA pF(-1). Rab4DN similarly increased Kv1.5 currents to 1382 +/- 155 pA pF(-1) from the control 522 +/- 82.7 pA pF(-1) at +80 mV. Expression of the Rab7DN increased Kv1.5 currents 2.5-fold in HEK293 cells but had no significant effect in H9c2 myoblasts, and, unlike the other Rab GTPases tested, over-expression of wild-type Rab7 decreased Kv1.5 currents in the myoblast line. Densities fell to 573 +/- 96.3 pA pF(-1) from the control 869 +/- 135.5 pA pF(-1). The Rab11DN was slow to affect Kv1.5 currents but had comparable effects to other dominant negative constructs after 48 h. With the exception of Rab11DN and nocodazole, the effects of interference with microtubule-dependent trafficking by nocodazole or p50 overexpression were not additive with the Rab dominant negatives. The Rab GTPases thus constitute dynamic targets by which cells may modulate Kv1.5 functional expression.
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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 | 0.000 | 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) | 0.000 | 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".