Evidence map›Paper›PMID 25800854›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2015

Visualizing directional Rab7 and TrkA cotrafficking in axons by pTIRF microscopy.

Kai Zhang, Praveen D Chowdary, Bianxiao Cui

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
5.0field-weighted citation impact, top 6% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  4. Review
  5. 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

3 authors at 2 institutions in 1 country.

Kai ZhangDepartment of Biochemistry, University of Illinois at Urbana-Champaign, 600 S. Mathews Avenue, Urbana, IL, 61801, USA.
Praveen D Chowdary
Bianxiao Cui
Stanford University · USUniversity of Illinois Urbana-Champaign · US

Funding

Engineering external forces for manipulating cargo transport in live neuronsDP2NS082125 · NINDS · STANFORD UNIVERSITY · PI CUI, BIANXIAO · 2012 to 2012
$2.4M
NINDS NIH HHS DP2 NS082125
6 · The paper itself

Abstract

Rab7 GTPase is known to regulate protein degradation and intracellular signaling via endocytic sorting and is also known to be involved in peripheral neurodegeneration. Mutations in the GTP-binding pocket of Rab7 cause Charcot-Marie-Tooth type 2B (CMT-2B) neuropathy. It has been suggested that the CMT-2B-associated Rab7 mutants may disrupt retrograde survival signaling by degrading the signaling endosomes carrying the nerve growth factor (NGF) and its TrkA receptor. Studying the cotrafficking of Rab7 and retrograde-TrkA endosomes in axons is therefore important to understand how Rab7 mutants affect the NGF signaling in neurons. However, tracking the axonal transport of Rab7 and TrkA with conventional microscopy and assigning the transport directionality in mass neuronal cultures pose some practical challenges. In this chapter, we describe the combination of a single-molecule imaging technique, pseudo-total internal reflection fluorescence (pTIRF) microscopy, with microfluidic neuron cultures that enables the simultaneous tracking of fluorescently labeled Rab7- and TrkA-containing endosomes in axons.

Indexed as

Axonal TransportAnimalsAxonsCell Culture TechniquesDimethylpolysiloxanesGanglia, SpinalLab-On-A-Chip DevicesMicroscopy, FluorescenceProtein Transportrab7 GTP-Binding Proteinsrab GTP-Binding ProteinsRatsReceptor, trkATransfectionbaysilonDimethylpolysiloxanesrab7 GTP-Binding Proteinsrab7 GTP-binding proteins, ratrab GTP-Binding ProteinsReceptor, trkA

Identifiers

PMID25800854
PMCPMC5061505
OpenAlexW2408100781

What OpenQuestion holds

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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.