Evidence map›Paper›PMID 42856380›Full record

ArticlebioRxiv : the preprint server for biology2026

Molecular Determinants of G Protein Subtype-Specific Coupling to the Angiotensin II Type 1 Receptor.

Akua A Acheampong, Matthew K Collins, Amanda R Keller, Andrew P Feld, Brandi M Small, Michael Ritt, Carl-Mikael Suomivuori, Sivaraj Sivaramakrishnan, Laura M Wingler

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Akua A AcheampongDepartment of Pharmacology and Cancer Biology, Duke University, Durham, North Carolina, United States.ORCID 0000-0001-9172-6381
Matthew K CollinsDepartment of Pharmacology and Cancer Biology, Duke University, Durham, North Carolina, United States.ORCID 0000-0002-9305-3560
Amanda R KellerDepartment of Pharmacology and Cancer Biology, Duke University, Durham, North Carolina, United States.
Andrew P FeldDepartment of Pharmacology and Cancer Biology, Duke University, Durham, North Carolina, United States.ORCID 0009-0009-1416-0869
Brandi M SmallDepartment of Pharmacology and Cancer Biology, Duke University, Durham, North Carolina, United States.ORCID 0009-0008-2349-4679
Michael RittDepartment of Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, Minnesota, United States.
Carl-Mikael SuomivuoriDepartment of Computer Science, Institute for Computational and Mathematical Engineering, Stanford University, Stanford, California, United States; Department of Molecular and Cellular Physiology, Department of Structural Biology, Stanford University School of Medicine, Stanford, California, United States.ORCID 0000-0002-2445-8791
Sivaraj SivaramakrishnanDepartment of Genetics, Cell Biology and Development, University of Minnesota, Minneapolis, Minnesota, United States.ORCID 0000-0002-9541-6994
Laura M WinglerDepartment of Pharmacology and Cancer Biology, Duke University, Durham, North Carolina, United States.ORCID 0000-0002-3688-5088

Funding

Pharmacological Sciences Training ProgramT32GM133352 · NIGMS · DUKE UNIVERSITY · PI Cynthia M Kuhn, David M MacAlpine · 2020 to 2026
$3.8M
Emergent cellular functions of GPCRs and myosinsR35GM126940 · NIGMS · UNIVERSITY OF MINNESOTA · PI Sivaraj Sivaramakrishnan · 2018 to 2026
$3.8M
Training in Pharmacological SciencesT32GM149363 · NIGMS · VANDERBILT UNIVERSITY · PI T M Iverson, Ege T Kavalali · 2023 to 2026
$1.2M
Mechanistic diversity in biased angiotensin receptor ligandsR01HL176532 · NHLBI · DUKE UNIVERSITY · PI Laura Michele Wingler · 2025 to 2026
$959k
NHLBI NIH HHS R01 HL176532NIGMS NIH HHS R35 GM126940NIGMS NIH HHS T32 GM133352NIGMS NIH HHS T32 GM149363
6 · The paper itself

Abstract

Many G protein-coupled receptors (GPCRs) are capable of activating multiple heterotrimeric G protein subtypes. The angiotensin II type 1 receptor (AT1R) couples to both Gq and Gi family members, and the two families mediate distinct aspects of the effects of angiotensin II (AngII) on blood pressure and fluid balance. Previous work has pointed to fundamental differences in the strength and ligand-dependence of Gq versus Gi activation by AT1R. Here we resolve key aspects of the mechanisms underlying these subtype-specific patterns of G protein coupling to AT1R. Using cellular biosensors, we show that AT1R activates Gq more efficaciously than Gi. Leveraging mini-G proteins, engineered versions of Gα subunits that diverge only in the C-terminal α5 helix, we identify four residues dispersed throughout the α5 helix that are sufficient to account for these differences. We employ radioligand binding to demonstrate that subtype-specific differences originate at the level of allosteric coupling between ligand and transducer binding, and we use Systematic Protein Affinity Strength Modulation biosensors to show that Gq-specific residues in the α5 helix increase affinity for AngII-activated AT1R. We provide evidence that the α5 helix residue with the greatest effect on coupling makes interactions with AT1R intracellular loop 3 that were not resolved in a previously reported AT1R-Gq cryo-electron microscopy structure. These findings enhance our understanding of how AT1R differentially activates Gq and Gi and may ultimately guide pharmacological approaches to modulate certain G proteins downstream of AT1R and other GPCRs.

Indexed as

allosteryangiotensinG protein-coupled receptorheterotrimeric G proteinligand

Identifiers

PMID42856380
PMCPMC13648727

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.