Evidence map›Paper›PMID 26360044›Full record

ArticleMethods in cell biology2015

Visualizing and quantitating sequence-dependent GPCR recycling.

Shanna L Bowman, Amanda L Soohoo, Manojkumar A Puthenveedu

Abstract read
In one paragraph

Article in Methods in cell biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Real-Time Optical Control of CB1 Receptor SignalingJournal of the American Chemical Society · 2025
    Article
  2. 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.

Shanna L BowmanDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA, USA.
Amanda L SoohooDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA, USA.
Manojkumar A PuthenveeduDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA, USA.

Funding

Regulation of Clathrin-Coated Pits by the Mu-Opioid ReceptorR00DA024698 · NIDA · CARNEGIE-MELLON UNIVERSITY · PI PUTHENVEEDU, MANOJKUMAR A · 2009 to 2011
$735k
TRAFFICKING AND FUNCTION OF MU-OPIOD RECEPTOR GENETIC VARIANTSR21DA036086 · NIDA · CARNEGIE-MELLON UNIVERSITY · PI PUTHENVEEDU, MANOJKUMAR A · 2013 to 2014
$371k
NIDA NIH HHS R00 DA024698NIDA NIH HHS R21 DA036086
6 · The paper itself

Abstract

Recent advances in direct imaging have given us a new appreciation of the spatial and temporal dynamics of membrane trafficking processes, and have allowed us to ask questions that were difficult to address with traditional methods. A relevant example of this is protein sorting in the endosome, which serves as the primary sorting station for proteins internalized from the cell surface. In this chapter, we discuss fluorescence imaging protocols to directly visualize and quantitate the recycling of G protein-coupled receptors (GPCRs)-a highly physiologically relevant family of signaling receptors-in real time in living cells. The protocols allow direct visualization and quantitation of both GPCR exit from the endosome and GPCR delivery to the cell surface. The methods may be extended to study the endolysosomal sorting of many proteins that undergoes endocytic cycling, and may be adapted to other organelles and systems where proteins are sorted.

Indexed as

Amino Acid SequenceCell MembraneEndocytosisEndosomesHEK293 CellsHumansMicroscopy, FluorescenceMolecular Sequence DataProtein Sorting SignalsProtein TransportReceptors, G-Protein-CoupledTime-Lapse ImagingProtein Sorting SignalsReceptors, G-Protein-CoupledEndosomeG protein-coupled receptorLive cell imagingRecyclingTotal internal reflection fluorescence microscopy

Identifiers

PMID26360044
PMCPMC6289190

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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.