20-Hydroxyeicosatetraenoic Acid (20-HETE) Activates Mouse TRPC6 Channels Expressed in HEK293 Cells
Bibliographic record
Abstract
In the present study, we show that the eicosanoid compound, 20-hydroxyeicosatetraenoic acid (20-HETE), an important arachidonic acid metabolite, activates mouse TRPC6 in a stable, overexpressing HEK293 cell line, Hek-t6.11. Application of 20-HETE rapidly induced an inward, non-selective current in whole-cell recordings, which was inhibited by N-methyl-d-glucamine, 1.8 mm Ca2+, and 100 microM Gd3+ but remained unaffected by flufenamate and indomethacin. The current-voltage relationship obtained at low concentrations of 20-HETE (1-10 microM) demonstrated slight inward rectification, whereas the highest concentration of 20-HETE tested (30 microM) showed outward rectification, as shown previously for these channels using 100 microM 1-oleoyl-2-acetyl-sn-glycerol. Dose-response curves indicate that 20-HETE activated TRPC6 channels with an EC50 = 0.8 microM. Single channel analysis using inside-out patches revealed that 20-HETE increased open probability of mouse TRPC6 channels approximately 3-fold, and this was in a membrane-delimited fashion. Interestingly, 20-HETE did not provoke changes in intracellular Ca2+ concentrations. Thus, we have identified an arachidonic acid metabolite, 20-HETE, as a novel activator for a TRP family member, TRPC6.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".