Heterogeneous expression of transient outward currents in smooth muscle cells of the mouse small intestine
Bibliographic record
Abstract
The objective for this paper was to characterize the transient outward current (I(to)) present in smooth muscle cells of the intestinal external muscularis. Two populations of cells were identified, one with a fast rate of I(to) inactivation (tau < 100 ms) and another with a slow rate of I(to) inactivating (tau > 150 ms). The chord conductance for the fast I(to) was smaller than the chord conductance of the slow I(to) (0.5 +/- 0.1 vs. 1.3 +/- 0.1 nS pF(-1), respectively). The inactivation was fitted by mono-exponentials to give a tau for the fast and slow I(to) of 44 and 229 ms, respectively. Combined plots of voltage dependent activation and inactivation processes revealed voltage ranges where window currents were possible; a 20 mV range for the fast I(to) from -56 to -36 mV and a 47 mV range for the slow I(to) from -42 to +5 mV. The fast I(to) recovered more quickly from inactivation than the slow I(to); tau(fast I(to)) = 11 +/- 4 ms compared to tau(slow I(to)) = 42 +/- 16 ms. The effect of different rates of depolarization on I(to) activation was examined. The plots of peak currents evoked by different rates of depolarization were well fitted by inverse exponential functions. The fast I(to) had a larger response to fast rates of depolarization by having a tau of 2 +/- 1 mV ms(-1) with maximal activation (95 % complete) at 5 mV ms(-1). The slow I(to) had a tau of 14 +/- 9 mV ms(-1) with maximal activation (95 % complete) at 42 mV ms(-1). The properties of these currents suggest that the two transient outward currents may contribute differently to slow waves and action potentials generated by the smooth muscle cells.
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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 | 0.001 | 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".