Molecular Composition of Mitochondrial ATP-sensitive Potassium Channels Probed by Viral Kir Gene Transfer
Bibliographic record
Abstract
Heart cells contain ATP-sensitive potassium (KATP) channels in both the sarcolemma and the inner mitochondrial membrane. The sarcolemmal channels are believed to be heteromultimeric complexes of sulfonylurea receptors (SUR) and potassium inward rectifier (Kir) gene products, but the molecular identity of mitochondrial KATP (mitoKATP) channels remains unclear. To probe the molecular composition of KATP channels, we used adenoviral gene transfer to express wild-type (WT) and dominant-negative (AFA) constructs of Kir6.1 and 6.2 in rabbit ventricular myocytes. None of the Kir6.1 or 6.2 constructs affected mitoKATPchannel activity as assayed by confocal imaging of flavoprotein fluorescence, contradicting the proposal, based on subcellular antibody localization, that Kir6.1 forms part of mitoKATP channels. As previously reported, dominant-negative Kir6.2 gene transfer suppressed sarcolemmal KATP current, while Kir6.1 constructs had no effect on sarcolemmal activity. Immunohistochemistry with an anti-Kir6.1 antibody revealed expression of this protein in heart but no apparent co-localization with mitochondria. Thus, the available evidence indicates that both Kir6.1 and 6.2 are expressed in ventricular myocytes, but neither plays a discernible functional role in the mitoKATP channel.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".