Bimodal agonism in heteromeric cyclic nucleotide-gated channels
Bibliographic record
Abstract
Direct binding of cGMP or cAMP to tetrameric cyclic nucleotide-gated (CNG) channels will normally promote the open (conductive) conformation. However, the catfish CNGA2 subtype exhibits bimodal agonism, whereby open probability (P(o)) increases with initial cGMP binding events ("pro" action) but decreases with subsequent cGMP binding events ("con" action) that occur at concentrations above 3 mM. We constructed, and heterologously expressed, chimeric CNG channel subunits with sequence substitutions in the binding domain (BD), and tested their activation using patch-clamp of cell-free membranes. A normal subunit with the rat CNGA4 BD (with only pro action) could be converted into a bimodal subunit (both pro and con action) by replacing the N-terminal portion of the BD with catfish CNGA2 sequence. We then fused two bimodal and two normal subunits in tandem tetramers, to form heteromeric CNG channels with bimodal pseudosubunits either adjacent (cis) or diagonally opposite (trans). The cis tetramer showed con action, with a mean ratio of steady-state conductances g((30 mM cGMP))/g((3 mM cGMP)) = 0.87, demonstrating bimodal agonism in a heteromeric CNG channel for the first time. In contrast, trans tetramers showed normal cGMP agonism up to 30 mM cGMP with mean g((30 mM cGMP))/g((3mM cGMP))= 1.02, although a minority of oocytes (4 of 15) expressed anomalous channel populations with con action. Rearranging subunits in a heteromer thus influences a channel's P(o) at high cGMP concentration. The sensitivity of con action to neighbouring subunits implies a cooperative mechanism.
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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".