Regulation of the human ether-a-go-go-related gene (hERG) potassium channel by Nedd4 family interacting proteins (Ndfips)
Bibliographic record
Abstract
The cardiac electrical disorder long QT syndrome (LQTS) pre-disposes affected individuals to ventricular arrhythmias and sudden death. Dysfunction of the human ether-a-go-go-related gene (hERG)-encoded rapidly activating delayed rectifier K(+) channel (IKr) is a major cause of LQTS. The expression of hERG channels is controlled by anterograde trafficking of newly synthesized channels to and retrograde degradation of existing channels from the plasma membrane. We have previously shown that the E3 ubiquitin (Ub) ligase Nedd4-2 (neural precursor cell expressed developmentally down-regulated protein 4-2) targets the PY motif of hERG channels to initiate channel degradation. Although both immature and mature hERG channels contain the PY motif, Nedd4-2 selectively mediates the degradation of mature hERG channels. In the present study, we demonstrate that Nedd4-2 is directed to specific cellular compartments by the Nedd4 family interacting proteins, Nedd4 family-interacting protein 1 (Ndfip1) and Ndfip2. Ndfip1 is primarily localized in the Golgi apparatus where it recruits Nedd4-2 to mediate the degradation of mature hERG proteins during channel trafficking to the plasma membrane. Although Ndfip2 directs Nedd4-2 to the Golgi apparatus, it also recruits Nedd4-2 to the multivesicular bodies (MVBs), which may impair MVB function and impede the degradation of mature hERG proteins mediated by Nedd4-2. These findings extend our understanding of hERG channel regulation and provide information which may be useful for the rescue of impaired hERG function in LQTS.
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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 | 0.001 |
| 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".