Evidence map›Paper›PMID 40631328›Full record

ArticlebioRxiv : the preprint server for biology2025

β-arrestin recruitment facilitates a direct association with G proteins.

Claudia Y Lee, Jeffrey S Smith, Taylor Kohlmann, Emily M Meara, Uyen Pham, Frank Kwarcinski, Andrew N Dates, Issac Choi, Ari S Hilibrand, Abigail Gillikin and 4 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

14 authors.

Claudia Y LeeDepartment of Biochemistry, Duke University School of Medicine, Durham, NC 27710, USA.ORCID 0000-0003-1952-3859
Jeffrey S SmithDepartment of Dermatology, Brigham and Women's Hospital, Boston, MA, 02115, USA.ORCID 0000-0003-2840-2899
Taylor KohlmannDepartment of Medicine, Duke University Medical Center, Durham, NC 27710, USA.ORCID 0000-0002-1698-074X
Emily M MearaDepartment of Dermatology, Brigham and Women's Hospital, Boston, MA, 02115, USA.ORCID 0009-0007-2643-8413
Uyen PhamDepartment of Biochemistry, Duke University School of Medicine, Durham, NC 27710, USA.ORCID 0000-0002-2038-6794
Frank KwarcinskiDepartment of Pharmacology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Andrew N DatesDepartment of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, 02115, USA.
Issac ChoiDepartment of Medicine, Duke University Medical Center, Durham, NC 27710, USA.ORCID 0000-0001-7429-8418
Ari S HilibrandDepartment of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, 02115, USA.ORCID 0000-0003-4169-0880
Abigail GillikinTrinity College, Duke University, Durham, NC, 27710, USA.
Stephen C BlacklowDepartment of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, 02115, USA.
Gregory G TallDepartment of Pharmacology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
Andrew C KruseDepartment of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, 02115, USA.ORCID 0000-0002-1467-1222
Sudarshan RajagopalDepartment of Biochemistry, Duke University School of Medicine, Durham, NC 27710, USA.ORCID 0000-0002-3443-5040

Funding

Making antibody generation rapid, scalable, and democratic through machine learning and continuous evolutionR01CA260415 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI KRUSE, ANDREW, LIU, CHANG C · 2020 to 2024
$8.4M
Biasing CXCR3 Signaling to Modulate the Inflammatory ResponseR01GM122798 · NIGMS · DUKE UNIVERSITY · PI RAJAGOPAL, SUDARSHAN · 2017 to 2025
$3.2M
Investigation of Adhesion GPCR and Ric-8 protein control of heterotrimeric G proteinsR35GM149539 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Gregory Gordon Tall · 2023 to 2026
$2.1M
Biochemical Determinants of Chemokine Receptor SignalingK08AR084617 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI Jeffrey SCOTT Smith · 2024 to 2026
$502k
Defining the Role of of Noncanonical GPCR Signalling in Pulmonary HypertensionF31HL152656 · NHLBI · DUKE UNIVERSITY · PI LEE, CLAUDIA Y · 2021 to 2023
$113k
NCI NIH HHS R01 CA260415NHLBI NIH HHS F31 HL152656NIAMS NIH HHS K08 AR084617NIGMS NIH HHS R01 GM122798NIGMS NIH HHS R35 GM149539
6 · The paper itself

Abstract

G protein-coupled receptors (GPCRs) are targets for almost a third of all FDA-approved drugs. GPCRs are known to signal through both heterotrimeric G proteins and β-arrestins. Traditionally these pathways were viewed as largely separable, with G proteins primarily initiating downstream signaling while β-arrestins modulate receptor trafficking and desensitization in addition to regulating their own signaling events. Recent studies suggest an integrated role of G proteins and β-arrestins in GPCR signaling, however the cellular and biochemical requirements for G protein: β-arrestin interactions remain unclear. Here we show that G proteins and β-arrestins can directly interact. Through utilization of β-arrestin-biased receptors and artificially enforced β-arrestin relocalization, we demonstrate that recruitment of β-arrestin to the plasma membrane is sufficient to interact with the G protein Gαi. Using purified proteins, we show that Gαi directly interacts with β-arrestin. In addition, we find that Gαi family members differ in their degree of association with β-arrestin, and that a large degree of this selectivity resides within the alpha helical domain of Gαi. These findings delineate the cellular and biochemical conditions that drive direct interactions between G proteins and β-arrestins and illuminate the molecular basis for how they work together to effect GPCR signaling.

Identifiers

PMID40631328
PMCPMC12236855

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.