C-terminal Domain of Kv4.2 and Associated KChIP2 Interactions Regulate Functional Expression and Gating of Kv4.2
Bibliographic record
Abstract
The Kv4.2 transient voltage-dependent potassium current contributes to the morphology of the cardiac action potential as well as to neuronal excitability and firing frequency. Here we report profound effects of the Kv4.2 C terminus on the surface expression and activation gating properties of Kv4.2 that are modulated by the direct interaction between KChIP2, an auxiliary regulatory subunit, and the C terminus of Kv4.2. We show that increasingly large truncations of the C terminus of rat Kv4.2 (wild type) cause a progressive decrease of Kv4.2 current along with a shift in voltage-dependent activation that is closely correlated with negative charge deletion. Co-expression of more limited Kv4.2 C-terminal truncation mutants (T588 and T528) with KChIP2 results in a doubling of Kv4.2 protein expression and up to an 8-fold increase in Kv4.2 current amplitude. Pulsechase experiments show that co-expression with KChIP2 slows Kv4.2 wild type degradation 8-fold. Co-expression of KChIP2 with an intermediate-length C-terminal truncation mutant (T474) shifts Kv4.2 activation voltage dependence and enhances expression of Kv4.2 current. The largest truncation mutants (T417 and DeltaC) show an intracellular localization with no measurable currents and no response to KChIP2 co-expression. Co-immunoprecipitation and competitive glutathione S-transferase-binding assays indicate a direct interaction between KChIP2 and the Kv4.2 C terminus with a relative binding affinity comparable with that of the N terminus. Overall, these results suggest that the C-terminal domain of Kv4.2 plays a critical role in voltage-dependent activation and functional expression that is mediated by direct interaction between the Kv4.2 C terminus and KChIP2.
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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".