Evidence map›Paper›PMID 32958572›Full record

ArticleMolecular pharmacology2020

Unique Pharmacological Properties of the Kappa Opioid Receptor Signaling Through G

Miriam E Barnett, Brian I Knapp, Jean M Bidlack

Open access · bronzeAbstract read
In one paragraph

Article in Molecular pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. GNature communications · 2025
    Article
  6. Gz Enhanced Signal Transduction assaY (GbioRxiv : the preprint server for biology · 2024
    Article
  7. Review
  8. Review
  9. Opioid signaling and design of analgesics.Progress in molecular biology and translational science · 2023
    Review
  10. Article
  11. Article
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

3 authors at 2 institutions in 1 country.

Miriam E BarnettDepartment of Pharmacology and Physiology, University of Rochester, School of Medicine and Dentistry, Rochester, New York.
Brian I KnappDepartment of Pharmacology and Physiology, University of Rochester, School of Medicine and Dentistry, Rochester, New York.
Jean M BidlackDepartment of Pharmacology and Physiology, University of Rochester, School of Medicine and Dentistry, Rochester, New York Jean_Bidlack@urmc.rochester.edu.ORCID 0000-0002-4305-5111
University of Rochester · USUniversity of Rochester Medical Center · US

Funding

Training in Cellular, Biochemical and Molecular SciencesT32GM068411 · NIGMS · UNIVERSITY OF ROCHESTER · PI MAQUAT, LYNNE E · 2005 to 2019
$3.9M
Extracellular Vesicles, Opioids, HIV and ThrombosisR21DA046817 · NIDA · UNIVERSITY OF ROCHESTER · PI BIDLACK, JEAN M · 2018 to 2019
$424k
NIDA NIH HHS R21 DA046817NIGMS NIH HHS T32 GM068411
6 · The paper itself

Abstract

Opioid receptors (ORs) convert extracellular messages to signaling events by coupling to the heterotrimeric G proteins, G

Indexed as

3,4-Dichloro-N-methyl-N-(2-(1-pyrrolidinyl)-cyclohexyl)-benzeneacetamide, (trans)-IsomerAnalgesics, OpioidBioluminescence Resonance Energy Transfer TechniquesDiterpenes, ClerodaneDynorphinsGTP-Binding Protein alpha SubunitsHEK293 CellsHumansMorphinansReceptors, Opioid, kappaSignal TransductionSpiro Compounds3,4-Dichloro-N-methyl-N-(2-(1-pyrrolidinyl)-cyclohexyl)-benzeneacetamide, (trans)-IsomerAnalgesics, OpioidDiterpenes, ClerodaneDynorphinsGTP-Binding Protein alpha SubunitsMorphinansReceptors, Opioid, kappasalvinorin ASpiro CompoundsTRK 820

Identifiers

PMID32958572
PMCPMC7562983
OpenAlexW3045777452

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.