Evidence map›Paper›PMID 22003401›Full record

ArticlePloS one2011

Ligand-directed functional selectivity at the mu opioid receptor revealed by label-free integrative pharmacology on-target.

Megan Morse, Elizabeth Tran, Haiyan Sun, Robert Levenson, Ye Fang

Abstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  11. Article
  12. Label-free drug discovery.Frontiers in pharmacology · 2014
    Review
  13. Effect of anchoring 4-anilidopiperidines to opioid peptides.Bioorganic & medicinal chemistry letters · 2013
    Article
  14. Article
  15. Review
  16. 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

5 authors.

Megan MorseDepartment of Pharmacology, Pennsylvania State University College of Medicine, Hershey, Pennsylvania, United States of America.
Elizabeth Tran
Haiyan Sun
Robert Levenson
Ye Fang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Development of new opioid drugs that provide analgesia without producing dependence is important for pain treatment. Opioid agonist drugs exert their analgesia effects primarily by acting at the mu opioid receptor (MOR) sites. High-resolution differentiation of opioid ligands is crucial for the development of new lead drug candidates with better tolerance profiles. Here, we use a label-free integrative pharmacology on-target (iPOT) approach to characterize the functional selectivity of a library of known opioid ligands for the MOR. This approach is based on the ability to detect dynamic mass redistribution (DMR) arising from the activation of the MOR in living cells. DMR assays were performed in HEK-MOR cells with and without preconditioning with probe molecules using label-free resonant waveguide grating biosensors, wherein the probe molecules were used to modify the activity of specific signaling proteins downstream the MOR. DMR signals obtained were then translated into high resolution heat maps using similarity analysis based on a numerical matrix of DMR parameters. Our data indicate that the iPOT approach clearly differentiates functional selectivity for distinct MOR signaling pathways among different opioid ligands, thus opening new avenues to discover and quantify the functional selectivity of currently used and novel opioid receptor drugs.

Indexed as

Cyclic AMPDrug DiscoveryGTP-Binding Protein alpha Subunits, Gi-GoHEK293 CellsHumansLigandsProtein KinasesReceptors, Opioid, muSignal TransductionSmall Molecule LibrariesSubstrate SpecificityCyclic AMPGTP-Binding Protein alpha Subunits, Gi-GoLigandsProtein KinasesReceptors, Opioid, muSmall Molecule Libraries

Identifiers

PMID22003401
PMCPMC3189208

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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.