A novel, radiolabel-free pulse chase strategy to study Kir3 channel ontogeny
Bibliographic record
Abstract
Kir3 channels are essential regulators of cellular excitability, maintaining cells at resting membrane potentials. While much research has been dedicated to elucidating the mechanisms regulating Kir3 channel gating, little is known regarding the channel's early associations with signaling partners, its stability at the plasma membrane or mechanisms regulating its internalization and degradation. To address these issues we have established an inducible Kir3.1 cell line that allows monitoring of a discrete "pulse" of channel as it progresses along the biosynthetic pathway. Using this system, we have been able to track Kir3 maturation and the influence of partner subunits on Kir3 lifetime and stability. Of note, we show that Kir3.1, in the absence of trafficking partner subunits, can exit the endoplasmic reticulum (ER) and reach the Golgi (though not the plasma membrane), and that expression of Kir3.3 subunits drastically reduced levels of Kir3.1 in the cell. We also show that interfering with trafficking from the ER to Golgi has a pronounced inhibitory effect on Kir3.1-Kir3.2 interactions, suggesting that this complex is stabilized either en route to the Golgi or in the Golgi itself. Finally, we showed that the Kir3 channel can reach the cell surface as early as 6 h post-induction and that removal of cell surface-localized channel occurs within 48 h. This system can be adapted to study the life cycle of any cellular protein without the confounds associated with radioactive labeling or the complications noted with expressing supraphysiological levels of proteins.
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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) | 0.001 | 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 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".