MétaCan
Menu
Back to cohort
Record W4410873293 · doi:10.1111/febs.70149

Gα<sub>s</sub>‐specific structural elements attenuate interactions with regulator of G protein signaling (<scp>RGS</scp>) proteins

2025· article· en· W4410873293 on OpenAlexafffund
Sabreen Higazy‐Mreih, Meirav Avital‐Shacham, Christian LeGouill, Michel Bouvier, Mickey Kosloff

Bibliographic record

VenueFEBS Journal · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Kinase Regulation and GTPase Signaling
Canadian institutionsUniversité de MontréalInstitute for Research in Immunology and Cancer
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchUniversity of HaifaAzrieli FoundationIsrael Science FoundationCouncil for Higher EducationInternational Development Research Centre
KeywordsHeterotrimeric G proteinGTPase-activating proteinG proteinRegulator of G protein signalingGTPaseG protein-coupled receptorCell biologyProtein subunitG beta-gamma complexBiologyChemistryGTP-binding protein regulatorsMutagenesisBiochemistrySignal transductionMutationGene

Abstract

fetched live from OpenAlex

Heterotrimeric (αβγ) G proteins are molecular switches that are activated by G protein‐coupled receptors (GPCRs) and regulate numerous intracellular signaling cascades. Most active Gα subunits are inactivated by regulators of G protein signaling (RGS) proteins, which determine the duration of G protein‐mediated signaling by accelerating the catalytic turn‐off of the Gα subunit. However, the G protein Gα s does not interact with known RGS proteins. To understand the molecular basis for this divergent phenomenon, we combined a comparative structural analysis of experimental and modeled structures with functional biochemical assays. This analysis showed that Gα s contains unique structural elements in both the helical and the GTPase domains. Modeling suggested that helical domain insertions, which were missing in experimental structures, might project toward the interface with RGS proteins. Alternatively, residues in the Gα s GTPase domain might lead to direct interference with RGS binding. Mutagenesis of Gα s and measurements of RGS GTPase‐activating protein (GAP) activity showed that three residues in the Gα s GTPase domain are both necessary and sufficient to prevent Gα s inactivation by RGSs. Indeed, substitution of all three Gα s residues with the corresponding residues from Gα i1 enabled efficient inactivation by RGS proteins. These results shed new light on the mechanistic bases for G protein specificity toward RGS proteins.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.845

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.243
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueFEBS JournalSame topicProtein Kinase Regulation and GTPase SignalingFrench-language works237,207