External Ba<sup>2+</sup>block of Kv4.2 channels is enhanced in the closed-inactivated state
Bibliographic record
Abstract
The effect of external barium ions on rat Kv4.2 channels expressed in HEK293 cells was investigated using whole cell, voltage-clamp recordings to determine its mechanism of action as well as its usefulness as a tool to probe the permeation pathway. Ba(2+) caused a concentration-dependent inhibition of current that was antagonized by increasing the external concentration of K(+) ([K(+)](o)), and the concentration and time dependence of the inhibition were well fitted by a model involving two binding sites aligned in series. Recovery from current inhibition was enhanced by increasing the intensity, duration, or frequency of depolarizing steps or by increasing [K(+)](o). These properties are consistent with the conclusion that Ba(2+) is a permeant ion that, by virtue of a stable interaction with a deep pore site, is able to block conduction. This blocking action was subsequently exploited to gain insights into the pore configuration in different channel states. In addition to blocking one or more states populated by brief depolarizing pulses to 80 mV, Ba(2+) blocked closed channels [the membrane voltage (V(m)) = -80 mV] and closed-inactivated channels (V(m) = -40 mV). Interestingly, the block of closed-inactivated channels was faster and more complete than for closed channels, which we interpret to mean that conformational changes underlying closed-state inactivation (CSI) enhance Ba(2+) binding and that the outer pore mouth remains patent during CSI. This provides the first direct evidence that an inactivation process involving a constriction of the outer pore mouth does not account for CSI in Kv4.2.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".