Gβ Residues That Do Not Interact with Gα Underlie Agonist-independent Activity of K+ Channels
Bibliographic record
Abstract
Gbetagamma subunits interact directly and activate G protein-gated Inwardly Rectifying K(+) (GIRK) channels. Little is known about the identity of functionally important interactions between Gbetagamma and GIRK channels. We tested the effects of all mammalian Gbeta subunits on channel activity and showed that whereas Gbeta1-4 subunits activate heteromeric GIRK channels independently of receptor activation, Gbeta5 does not. Gbeta1 and Gbeta5 both bind the N and C termini of the GIRK1 and GIRK4 channel subunits. Chimeric analysis between the Gbeta1 and Gbeta5 proteins revealed a 90-amino acid stretch that spans blades two and three of the seven-propeller structure and is required for channel activation. Within this region, eight non-conserved amino acids were critical for the activity of Gbeta1, as mutation of each residue to its counterpart in Gbeta5 significantly reduced the ability of Gbeta1 to stimulate channel activity. In particular, mutation of residues Ser-67 and Thr-128 to the corresponding Gbeta5 residues completely abolished Gbeta1 stimulation of GIRK channel activity. Mapping these functionally important residues on the three-dimensional structure of Gbeta1 shows that Ser-67, Ser-98, and Thr-128 are the only surface accessible residues. Galpha(i)1 interacts with Ser-98 but not with Ser-67 and Thr-128 in the heterotrimeric Galphabetagamma structure. Further characterization of the three mutant proteins showed that they fold properly and interact with Ggamma2. Of the three identified functionally important residues, the Ser-67 and Thr-128 Gbeta mutants significantly inhibited basal currents of a channel point mutant that displays Gbetagamma-mediated basal but not agonist-induced currents. Our findings indicate that the presence of Gbeta residues that do not interact with Galpha are involved in Gbetagamma interactions in the absence of agonist stimulation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".