Evidence map›Paper›PMID 25763834›Full record

ArticleNature protocols2015

Live imaging of axonal transport in Drosophila pupal brain explants.

Caroline Medioni, Anne Ephrussi, Florence Besse

Abstract read
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In one paragraph

Article in Nature protocols, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.4field-weighted citation impact, top 22% 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

15 citing papers in PubMed, 21 citations in OpenAlex.

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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 3 institutions in 2 countries.

Caroline MedioniInstitute of Biology Valrose, Centre National de la Recherche Scientifique (CNRS)-Unité Mixte de Recherche (UMR) 7277, Institut National de la Santé et de la Recherche Médicale (INSERM)-UMR1091, University of Nice-Sophia Antipolis, Nice, France.
Anne Ephrussi
Florence BesseInstitute of Biology Valrose, Centre National de la Recherche Scientifique (CNRS)-Unité Mixte de Recherche (UMR) 7277, Institut National de la Santé et de la Recherche Médicale (INSERM)-UMR1091, University of Nice-Sophia Antipolis, Nice, France.
Centre National de la Recherche Scientifique · FREuropean Molecular Biology Laboratory · DEInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Axonal transport is essential for the initial growth, maintenance and synaptic plasticity of axons, and altered axonal transport has been observed in different models of neurodegenerative pathologies. Dissecting the mechanisms underlying axonal transport in developing or degenerating brains requires dynamic imaging of axonal cargo movement in living samples. Whereas methods exist to image axonal transport in Drosophila larval neurons, they are not suitable to follow this process during metamorphosis, when brains undergo extensive remodeling. Here we present a simple method that enables confocal imaging of both fast and slow axonal transport in Drosophila pupal brain explants. We describe how to prepare chambers adapted for live imaging, how to maintain brain explants under physiological conditions and how to monitor and quantitatively analyze the movement of fluorescently labeled cargoes. This protocol requires minimal equipment and is ideally suited for experiments that combine genetics, optogenetics and pharmacological approaches. The brains can be prepared for image acquisition in 1.5 h, and the protocol can be performed easily in any fly laboratory.

Indexed as

Axonal TransportDrosophila melanogasterAnimalsBrainEquipment DesignMicroscopy, ConfocalOrgan Culture TechniquesPupa

Identifiers

PMID25763834
OpenAlexW2056802093

What OpenQuestion holds

Textmetadata
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.