Identification of the cyclic-nucleotide-binding domain as a conserved determinant of ion-channel cell-surface localization
Bibliographic record
Abstract
Mutations of a putative cyclic-nucleotide-binding domain (CNBD) can disrupt the function of the hyperpolarization-activated cyclic-nucleotide-gated channel (HCN2) and the human ether-a-go-go-related gene potassium channel (HERG). Loss of function caused by C-terminal truncation, which includes all or part of the CNBD in HCN and HERG, has been related to abnormal channel trafficking. Similar defects have been reported for several of the missense mutations of HERG associated with long QT syndrome type 2 (LQT2). Thus, we postulate that normal processing of these channels depends upon the presence of the CNBD. Here, we show that removal of the entire CNBD prevents Golgi transit, surface localization and function of HERG channel tetramers. This is also true when any of the structural motifs of the CNBD is deleted, suggesting that deletion of any highly conserved region along the entire length of the CNBD can disrupt channel trafficking. Furthermore, we demonstrate that defective trafficking is a consequence of all LQT2 mutations in the CNBD, including two mutations not previously assessed and two others for which there are conflicting results in the literature. The trafficking sensitivity of the CNBD might be of general significance for other ion channels because complete deletion of the CNBD or mutations at highly conserved residues within the CNBD of the related ERG3 channel and HCN2 also prevent Golgi transit. These results broadly implicate the CNBD in ion-channel trafficking that accounts for the commonly observed loss of function associated with CNBD mutants and provides a rationale for distinct genetic disorders.
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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".