Barium block of Kir2 and human cardiac inward rectifier currents: evidence for subunit-heteromeric contribution to native currents
Bibliographic record
Abstract
BACKGROUND: Kir2 subunits are believed to underlie the cardiac inwardly rectifying current I(K1). The subunit composition of native I(K1) currents is uncertain, and it has been suggested that heteromultimer formation may play a role. METHODS: We studied Ba(2+) block of homo- and heteromeric Kir2 channels in Xenopus oocytes and compared the properties observed to those of human cardiac I(K1) in cells isolated from myocardial biopsies of normal human hearts. RESULTS: Homomeric expression of Kir2.1 and Kir2.3 produced currents with similar Ba(2+) sensitivities (e.g. IC(50) at -120 mV: 16.2+/-3.4, n=11 and 18.5+/-2.1, n=10, respectively), but these were less sensitive to Ba(2+) than native I(K1) (4.7+/-0.5 microM, n=10, P=0.001, P<0.001, respectively) and had different Ba(2+) blocking kinetics from cardiac I(K1). Kir2.2 sensitivity was similar to cardiac I(K1) (e.g., 2.8+/-0.4 microM, Kir2.2, n=9, vs. 4.7+/-0.5 microM for I(K1)), but the blocking kinetics of Kir2.2 were faster than those of I(K1). Currents resulting from co-expression of Kir2 subunits had similar Ba(2+) sensitivities and blocking kinetics among groups and were similar to I(K1) in both Ba(2+) sensitivity (e.g., IC(50) at -120 mV: 4.5+/-1.0, 2.5+/-0.5, and 2.3+/-0.4 microM for co-injected Kir2.1/2.2, n=6, Kir2.1/2.3, n=5, and Kir2.2/2.3, n=4, respectively) and blocking kinetics. CONCLUSION: Co-injection of Kir2 subunits results in currents with Ba(2+) blocking properties different from homomeric Kir2 expression but similar to cardiac I(K1). These observations suggest that a substantial proportion of native I(K1) may result from heteromultimer formation among diverse Kir2 family subunits.
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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 | 0.001 |
| 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) | 0.002 | 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".