Evidence map›Paper›PMID 26800506›Full record

ReviewCytoskeleton (Hoboken, N.J.)2016

Techniques for studying protein trafficking and molecular motors in neurons.

Shanxi Feng, Don B Arnold

Open access · bronzeAbstract readReview
In one paragraph

Review in Cytoskeleton (Hoboken, N.J.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. The Development of Neuronal Polarity: A Retrospective View.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  4. 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 at 1 institution in 1 country.

Shanxi FengDepartment of Biological Sciences, Program in Neuroscience, University of Southern California, Los Angeles, California.
Don B ArnoldDepartment of Biological Sciences, Program in Neuroscience, University of Southern California, Los Angeles, California. darnold@usc.edu.
University of Southern California · US

Funding

Molecular probes to visualize endogenous synaptic proteins in vivoR01NS081678 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ARNOLD, DONALD B · 2013 to 2017
$1.8M
NINDS NIH HHS R01 NS081678
6 · The paper itself

Abstract

This review focused on techniques that facilitated the visualization of protein trafficking. In the mid-1990s the cloning of GFP allowed fluorescently tagged proteins to be expressed in cells and then visualized in real time. This advance allowed a glimpse, for the first time, of the complex system within cells for distributing proteins. It quickly became apparent, however, that time-lapse sequences of exogenously expressed GFP-labeled proteins can be difficult to interpret. Reasons for this include the relatively low signal that comes from moving proteins and high background rates from stationary proteins and other sources, as well as the difficulty of identifying the origins and destinations of specific vesicular carriers. In this review a range of techniques that have overcome these issues to varying degrees was reviewed and the insights into protein trafficking that they have enabled were discussed. Concentration will be on neurons, as they are highly polarized and, thus, their trafficking systems tend to be accessible for study. © 2016 Wiley Periodicals, Inc.

Indexed as

AnimalsGreen Fluorescent ProteinsHumansMolecular ImagingMolecular Motor ProteinsProtein TransportGreen Fluorescent ProteinsMolecular Motor Proteinskinesinmyosinneuronprotein traffickingvesicle

Identifiers

PMID26800506
PMCPMC4958032
OpenAlexW2336283741

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.