Evidence map›Paper›PMID 26514203›Full record

ReviewAnnual review of pharmacology and toxicology2016

G Protein-Coupled Receptor Heteromers.

Ivone Gomes, Mohammed Akli Ayoub, Wakako Fujita, Werner C Jaeger, Kevin D G Pfleger, Lakshmi A Devi

Open access · bronzeAbstract readReview
In one paragraph

Review in Annual review of pharmacology and toxicology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 135 papers.

0numbers the graph read from it
0cells of the map it votes in
135citing papers in PubMed
11.6field-weighted citation impact, top 1% 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

135 citing papers in PubMed, 256 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. GPCR Heterodimers: Implications for Biased Signaling.Handbook of experimental pharmacology · 2026
    Review
  5. Article
  6. Article
  7. Activation of Chemokine (C-C Motif) Receptor 1 Modulates αJournal of the American Heart Association · 2025
    Article
  8. Article
  9. Review
  10. Review
  11. Regulation of CXCR4 function by S1PCell communication and signaling : CCS · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review

75 more citing papers are in PubMed but not listed here.

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

6 authors at 4 institutions in 4 countries.

Ivone GomesDepartment of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY 10029; email: lakshmi.devi@mssm.edu.
Mohammed Akli AyoubBiologie et Bioinformatique des Systèmes de Signalisation (BIOS) Group, INRA, UMR85, Unité Physiologie de la Reproduction et des Comportements; CNRS, UMR7247, F-37380 Nouzilly, France.
Wakako FujitaDepartment of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY 10029; email: lakshmi.devi@mssm.edu.
Werner C JaegerMolecular Endocrinology and Pharmacology, Harry Perkins Institute of Medical Research, Nedlands, Western Australia 6009, Australia.
Kevin D G PflegerMolecular Endocrinology and Pharmacology, Harry Perkins Institute of Medical Research, Nedlands, Western Australia 6009, Australia.
Lakshmi A DeviDepartment of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY 10029; email: lakshmi.devi@mssm.edu.
Icahn School of Medicine at Mount Sinai · USThe University of Western Australia · AUCentre National de la Recherche Scientifique · FRUniversity of Nagasaki · JP

Funding

Enzymes Involved in Neuropeptide Biosynthesis, Processing and RegulationR01NS026880 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DEVI, LAKSHMI A · 1994 to 2019
$6.5M
Regulation Of Opioid Receptor Signaling by Endogenous PeptidesR01DA008863 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Lakshmi A Devi, Elyssa Margolis · 1995 to 2026
$6.1M
Post-translational Regulation of Opioid and Cannabinoid Receptors.R37DA008863 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DEVI, LAKSHMI A · 2012 to 2021
$4.6M
Post-translational regulation of opioid receptorsR56DA008863 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DEVI, LAKSHMI A · 2007 to 2007
$381k
ENZYMES INVOLVED IN DYNORPHIN BIOSYNTHESISR29NS026880 · NINDS · NEW YORK UNIVERSITY · PI DEVI, LAKSHMI A · 1989 to 1993
–
NIDA NIH HHS DA008863NIDA NIH HHS R01 DA008863NIDA NIH HHS R37 DA008863NIDA NIH HHS R56 DA008863NINDS NIH HHS NS026880NINDS NIH HHS R01 NS026880
6 · The paper itself

Abstract

G protein-coupled receptors (GPCRs) compose one of the largest families of membrane proteins involved in intracellular signaling. They are involved in numerous physiological and pathological processes and are prime candidates for drug development. Over the past decade, an increasing number of studies have reported heteromerization between GPCRs. Many investigations in heterologous systems have provided important indications of potential novel pharmacology; however, the physiological relevance of these findings has yet to be established with endogenous receptors in native tissues. In this review, we focus on family A GPCRs and describe the techniques and criteria to assess their heteromerization. We conclude that advances in approaches to study receptor complex functionality in heterologous systems, coupled with techniques that enable specific examination of native receptor heteromers in vivo, are likely to establish GPCR heteromers as novel therapeutic targets.

Indexed as

AnimalsDrug DiscoveryHumansMembrane ProteinsReceptors, G-Protein-CoupledSignal TransductionMembrane ProteinsReceptors, G-Protein-Coupledallosterismbiochemical fingerprintbivalent ligandsdimerizationheterodimerizationoligomersproximity-based assays

Identifiers

PMID26514203
PMCPMC5147582
OpenAlexW2165408834

What OpenQuestion holds

Textmetadata
LicenceTDM
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.