Evidence map›Paper›PMID 33836582›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

β2-adrenoceptor ligand efficacy is tuned by a two-stage interaction with the Gαs C terminus.

Keehun Kim, Shayla Paulekas, Fredrik Sadler, Tejas M Gupte, Michael Ritt, Matthew Dysthe, Nagarajan Vaidehi, Sivaraj Sivaramakrishnan

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.2field-weighted citation impact, top 22% of its field
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

15 citing papers in PubMed, 18 citations in OpenAlex.

  1. Ligand-dependent G protein dynamics underlying opioid efficacy.Nature structural & molecular biology · 2026
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  5. Nano-GAngewandte Chemie (International ed. in English) · 2026
    Article
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  7. Review
  8. Ligand-dependent G protein dynamics underlying opioid signaling efficacy.bioRxiv : the preprint server for biology · 2025
    Article
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  10. Article
  11. Article
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  14. Article
  15. Review
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

8 authors at 2 institutions in 1 country.

Keehun KimDepartment of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, MN 55455.
Shayla PaulekasIrell & Manella Graduate School of Biological Sciences, Beckman Research Institute of the City of Hope, Duarte, CA 91010.
Fredrik SadlerDepartment of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, MN 55455.
Tejas M GupteDepartment of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, MN 55455.
Michael RittDepartment of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, MN 55455.
Matthew DystheDepartment of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, MN 55455.
Nagarajan VaidehiIrell & Manella Graduate School of Biological Sciences, Beckman Research Institute of the City of Hope, Duarte, CA 91010.ORCID 0000-0001-8100-8132
Sivaraj SivaramakrishnanDepartment of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, MN 55455; sivaraj@umn.edu.ORCID 0000-0002-9541-6994
University of Minnesota · USCity of Hope · US

Funding

Emergent cellular functions of GPCRs and myosinsR35GM126940 · NIGMS · UNIVERSITY OF MINNESOTA · PI Sivaraj Sivaramakrishnan · 2018 to 2026
$3.8M
Structural dynamics underlying GPCR-G protein selectivityR01GM117923 · NIGMS · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI VAIDEHI, NAGARAJAN · 2017 to 2024
$3.8M
An integrated toolkit combining computational systems biology techniques with molecular dynamics simulations to delineate functionality of GPCRsR01LM013876 · NLM · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI RODIN, ANDREI, VAIDEHI, NAGARAJAN · 2022 to 2025
$1.5M
NIGMS NIH HHS R01 GM117923NIGMS NIH HHS R35 GM126940NLM NIH HHS R01 LM013876
6 · The paper itself

Abstract

Classical pharmacological models have incorporated an "intrinsic efficacy" parameter to capture system-independent effects of G protein-coupled receptor (GPCR) ligands. However, the nonlinear serial amplification of downstream signaling limits quantitation of ligand intrinsic efficacy. A recent biophysical study has characterized a ligand "molecular efficacy" that quantifies the influence of ligand-dependent receptor conformation on G protein activation. Nonetheless, the structural translation of ligand molecular efficacy into G protein activation remains unclear and forms the focus of this study. We first establish a robust, accessible, and sensitive assay to probe GPCR interaction with G protein and the Gα C terminus (G-peptide), an established structural determinant of G protein selectivity. We circumvent the need for extensive purification protocols by the single-step incorporation of receptor and G protein elements into giant plasma membrane vesicles (GPMVs). We use previously established SPASM FRET sensors to control the stoichiometry and effective concentration of receptor-G protein interactions. We demonstrate that GPMV-incorporated sensors (v-SPASM sensors) provide enhanced dynamic range, expression-insensitive readout, and a reagent level assay that yields single point measurements of ligand molecular efficacy. Leveraging this technology, we establish the receptor-G-peptide interaction as a sufficient structural determinant of this receptor-level parameter. Combining v-SPASM measurements with molecular dynamics (MD) simulations, we elucidate a two-stage receptor activation mechanism, wherein receptor-G-peptide interactions in an intermediate orientation alter the receptor conformational landscape to facilitate engagement of a fully coupled orientation that tunes G protein activation.

Indexed as

Fluorescence Resonance Energy TransferGTP-Binding Protein alpha SubunitsHumansLigandsProtein BindingReceptors, Adrenergic, beta-2GTP-Binding Protein alpha SubunitsLigandsReceptors, Adrenergic, beta-2FRET sensorsgiant plasma membrane vesiclesG protein–coupled receptorsligand efficacymolecular dynamics simulations

Identifiers

PMID33836582
PMCPMC7980469
OpenAlexW3135498947

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.