Evidence map›Paper›PMID 26167890›Full record

ArticleJournal of visualized experiments : JoVE2015

Tracking Drug-induced Changes in Receptor Post-internalization Trafficking by Colocalizational Analysis.

Edmund Ong, Catherine Cahill

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Molecular Pharmacology of δ-Opioid Receptors.Pharmacological reviews · 2016
    Review
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

2 authors.

Edmund OngDepartment of Anesthesiology and Perioperative Care, University of California Irvine; Department of Biomedical and Molecular Sciences, Queen's University; edmund.ong@uci.edu.
Catherine CahillDepartment of Anesthesiology and Perioperative Care, University of California Irvine; Department of Biomedical and Molecular Sciences, Queen's University; Department of Pharmacology, University of California Irvine.

Funding

Canadian Institutes of Health Research MOP394808
6 · The paper itself

Abstract

The intracellular trafficking of receptors is a collection of complex and highly controlled processes. Receptor trafficking modulates signaling and overall cell responsiveness to ligands and is, itself, influenced by intra- and extracellular conditions, including ligand-induced signaling. Optimized for use with monolayer-plated cultured cells, but extendable to free-floating tissue slices, this protocol uses immunolabelling and colocalizational analysis to track changes in intracellular receptor trafficking following both chronic/prolonged and acute interventions, including exogenous drug treatment. After drug treatment, cells are double-immunolabelled for the receptor and for markers for the intracellular compartments of interest. Sequential confocal microscopy is then used to capture two-channel photomicrographs of individual cells, which are subjected to computerized colocalizational analysis to yield quantitative colocalization scores. These scores are normalized to permit pooling of independent replicates prior to statistical analysis. Representative photomicrographs may also be processed to generate illustrative figures. Here, we describe a powerful and flexible technique for quantitatively assessing induced receptor trafficking.

Indexed as

AnimalsCells, CulturedEndosomesImmunohistochemistryLigandsLiposomesMicroscopy, ConfocalPhotomicrographyPrimary Cell CultureProtein TransportReceptors, G-Protein-CoupledSensory Receptor CellsSignal TransductionLigandsLiposomesReceptors, G-Protein-Coupled

Identifiers

PMID26167890
PMCPMC4544690

What OpenQuestion holds

Textmetadata
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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.