O<sub>2</sub>−sensitive K<sup>+</sup> channels in immortalised rat chromaffin‐cell‐derived MAH cells
Bibliographic record
Abstract
The regulation of K(+) channels by O(2) levels is a key link between hypoxia and neurotransmitter release in neuroendocrine cells. Here, we examined the effects of hypoxia on K(+) channels in the immortalised v-myc, adrenal-derived HNK1(+) (MAH) cell line. MAH cells possess a K(+) conductance that is sensitive to Cd(2+), iberiotoxin and apamin, and which is inhibited by ~24 % when exposed to a hypoxic perfusate (O(2) tension 20 mmHg). This conductance was attributed to high-conductance Ca(2+)-activated K(+) (BK) and small-conductance Ca(2+)-activated K(+) (SK) channels, which are major contributors to the O(2)-sensitive K(+) conductance in adrenomedullary chromaffin cells. Under low [Ca(2+)](i) conditions that prevented activation of Ca(2+)-dependent K(+) conductances, a rapidly activating and slowly inactivating K(+) conductance, sensitive to both TEA and 4-aminopyridine (4-AP), but insensitive to 100 nM charybdotoxin (CTX), was identified. This current was also reduced (by ~25 %) when exposed to hypoxia. The hypoxia-sensitive component of this current was greatly attenuated by 10 mM 4-AP, but was only slightly reduced by 10 mM TEA. This suggests the presence of delayed-rectifier O(2)-sensitive channels comprising homomultimeric Kv1.5 or heteromultimeric Kv1.5/Kv1.2 channel subunits. The presence of both Kv1.5 and Kv1.2 alpha-subunits was confirmed using immunocytochemical techniques. We also demonstrated that these K(+) channel subunits are present in neonatal rat adrenomedullary chromaffin cells in situ. These data indicate that MAH cells possess O(2)-sensitive K(+) channels with characteristics similar to those observed previously in isolated chromaffin cells, and therefore provide an excellent model for examining the cellular mechanisms of O(2) sensing in adrenomedullary chromaffin 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 | 0.000 | 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 | 0.001 |
| 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".