Rab4 GTPase regulates cell surface expression of hERG channels through Nedd4–2
Bibliographic record
Abstract
The human ether‐a‐go‐go‐related gene ( hERG ) encodes the pore‐forming subunits of the cardiac rapidly activating delayed rectifier K + channel (I Kr ) which is important for cardiac repolarization. Dysfunction of I Kr causes long QT syndrome (LQTS), a cardiac electrical disorder which can lead to cardiac arrhythmias and sudden death. Currently, trafficking mechanisms of the hERG channel are poorly understood. We investigated the effects of Rab4 GTPase on the function and expression of hERG channels using Western blot, patch clamp and immunofluorescence staining. Our data revealed that Rab4 selectively decreased the hERG expression on the plasma membrane. Mechanistically, Rab4 did not directly target the hERG protein. Instead, it increased the expression of ubiquitin ligase Nedd4–2, which mediates hERG ubiquitination and degradation. Mutations that disrupt the Nedd4–2 targeting site in hERG completely abolished the effect of Rab4. Our data further revealed that Rab4 inhibited Nedd4–2 self ubiquitination, leading to a decreased degradation rate of Nedd4–2. We conclude that Rab4 regulates the cell surface expression of hERG channels through Nedd4–2. Supported by the Canadian Institutes of Health Research – CIHR.
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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".