Evidence map›Paper›PMID 37645938›Full record

ArticlebioRxiv : the preprint server for biology2024

Control of G protein-coupled receptor function via membrane-interacting intrinsically disordered C-terminal domains.

Chiara Mancinelli, Dagan C Marx, Alberto J Gonzalez-Hernandez, Kevin Huynh, Lucia Mancinelli, Anisul Arefin, George Khelashvilli, Joshua Levitz, David Eliezer

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Chiara MancinelliDepartment of Biochemistry, Weill Cornell Medicine, New York, NY 10065, USA.ORCID 0000-0002-2653-4698
Dagan C MarxDepartment of Biochemistry, Weill Cornell Medicine, New York, NY 10065, USA.ORCID 0000-0003-0149-3778
Alberto J Gonzalez-HernandezDepartment of Biochemistry, Weill Cornell Medicine, New York, NY 10065, USA.ORCID 0000-0002-2817-2475
Kevin HuynhDepartment of Biochemistry, Weill Cornell Medicine, New York, NY 10065, USA.
Lucia MancinelliDepartment of Biochemistry, Weill Cornell Medicine, New York, NY 10065, USA.
Anisul ArefinDepartment of Biochemistry, Weill Cornell Medicine, New York, NY 10065, USA.
George KhelashvilliDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA.ORCID 0000-0001-7235-8579
Joshua LevitzDepartment of Biochemistry, Weill Cornell Medicine, New York, NY 10065, USA.ORCID 0000-0002-8169-6323
David EliezerDepartment of Biochemistry, Weill Cornell Medicine, New York, NY 10065, USA.ORCID 0000-0002-1311-7537
Cornell University · US

Funding

Structure and Function of Protein Disorder in Membrane Trafficking and OrganizationR35GM136686 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI ELIEZER, DAVID · 2020 to 2025
$4.5M
Mechanisms of Regulation of Metabotropic Glutamate ReceptorsR01NS129904 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI Joshua Levitz · 2023 to 2026
$2.6M
Acquisition of a Cold Probe and Console for a 600MHz NMR spectrometerS10OD016320 · OD · WEILL MEDICAL COLL OF CORNELL UNIV · PI BRACKEN, WILLIAM C · 2013 to 2013
$600k
Upgrade of the RF electronics console and probes for chemical biology.S10OD028556 · OD · WEILL MEDICAL COLL OF CORNELL UNIV · PI BRACKEN, WILLIAM C · 2020 to 2020
$600k
Structure and function of mGluR3 interactions with beta-arrestins and the membrane.F32GM148001 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI MARX, DAGAN · 2022 to 2023
$137k
Elucidating the Effects of Post-Translational Modifications on Tau Binding to F-actin and PSD95F31AG077836 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI MANCINELLI, CHIARA DIAMANTE · 2023 to 2025
$125k
NIA NIH HHS F31 AG077836NIGMS NIH HHS F32 GM148001NIGMS NIH HHS R35 GM136686NIH HHS S10 OD016320NIH HHS S10 OD028556NINDS NIH HHS R01 NS129904
6 · The paper itself

Abstract

G protein-coupled receptors (GPCRs) control intracellular signaling cascades via agonist-dependent coupling to intracellular transducers including heterotrimeric G proteins, GPCR kinases (GRKs), and arrestins. In addition to their critical interactions with the transmembrane core of active GPCRs, all three classes of transducers have also been reported to interact with receptor C-terminal domains (CTDs). An underexplored aspect of GPCR CTDs is their possible role as lipid sensors given their proximity to the membrane. CTD-membrane interactions have the potential to control the accessibility of key regulatory CTD residues to downstream effectors and transducers. Here we report that the CTDs of two closely related family C GPCRs, metabotropic glutamate receptor 2 (mGluR2) and mGluR3, bind to membranes and that this interaction can regulate receptor function. We first characterize CTD structure with NMR spectroscopy, revealing lipid composition-dependent modes of membrane binding. Using molecular dynamics simulations and structure-guided mutagenesis, we then identify key conserved residues and cancer-associated mutations that modulate CTD-membrane binding. Finally, we provide evidence that mGluR3 transducer coupling is controlled by CTD-membrane interactions in live cells, which may be subject to regulation by CTD phosphorylation and changes in membrane composition. This work reveals a novel mechanism of GPCR modulation, suggesting that CTD-membrane binding may be a general regulatory mode throughout the broad GPCR superfamily.

Indexed as

Biological Sciences/BiophysicsComputational BiologyC-terminal domaindisordered proteinGPCRmembranemGluRNMRβ-arrestin

Identifiers

PMID37645938
PMCPMC10462050
OpenAlexW4385911610

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.