Localization of Kv1.5 channels in rat and canine myocyte sarcolemma
Bibliographic record
Abstract
Voltage-gated potassium (Kv) channel subtypes localize to the plasma membrane of a number of cell types, and the sarcolemma in myocytes. Because many signaling molecules concentrate in subdomains of the plasma membrane, the localization of Kv channels to these sites may have important implications for channel function and regulation. In this study, the association of the voltage-gated potassium channel Kv1.5 with a specific subtype of lipid rafts, caveolae, in rat and canine cardiac myocytes has been investigated. Interactions between caveolin-3 and beta-dystroglycan or eNOS, as well as between Kv1.5 and alpha-actinin were readily detected in co-immunoprecipitation experiments, whereas no association between Kv1.5 and caveolin-3 was evident. Wide-field microscopy and deconvolution techniques revealed that the percent co-localization of Kv1.5 with caveolin-3 was extremely low in atrial myocytes from rat and canine hearts (8+/-1% and 12.2+/-2%, respectively), and limited in ventricular myocytes (11+/-4% and 20+/-3% in rat and canine, respectively). Immunoelectron microscopic imaging of rat atrial and ventricular tissues showed that Kv1.5 and caveolin-3 labeling generally did not overlap. In HEK293 cells stably expressing the channel, Kv1.5 did not target to the low buoyant density raft fraction along with flotillin but instead fractionated along with the non-raft associated transferrin receptor. Taken together, these results suggest that Kv1.5 is not present in caveolae of rat and canine heart.
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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".