Evidence map›Paper›PMID 23870254›Full record

ArticleBiophysical journal2013

Analysis of AQP4 trafficking vesicle dynamics using a high-content approach.

Javier Mazzaferri, Santiago Costantino, Stephane Lefrancois

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
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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 2 institutions in 1 country.

Javier MazzaferriCentre de Recherche de l'Hôpital Maisonneuve-Rosemont, Montréal, Canada.
Santiago Costantino
Stephane Lefrancois
Université de Montréal · CAHôpital Maisonneuve-Rosemont · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aquaporin-4 (AQP4) is found on the basolateral plasma membrane of a variety of epithelial cells, and it is widely accepted that microtubules play an important role in protein trafficking to the plasma membrane. In the particular case of polarized trafficking, however, most evidence on the involvement of microtubules has been obtained via biochemistry experiments and single-shot microscopy. These approaches have provided essential information, even though they neglect the dynamical details of microtubule transport. In this work, we present a high-content framework in which time-lapse imaging, and single-particle-tracking algorithms were used to study a large number (∼10(4)) of GFP-AQP4-carrying vesicles on a large number of cells (∼170). By analyzing several descriptors in this large sample of trajectories, we were able to obtain highly statistically significant results. Our results support the hypothesis that AQP4 is transported along microtubules, but to our surprise, this transport is not directed straight to the basolateral plasma membrane. On the contrary, these vesicles move stochastically along microtubules, changing direction repeatedly. We propose that the role of microtubules in the basolateral trafficking of AQP4 is to increase the efficiency, rather than determine the specificity of the target.

Indexed as

AnimalsAquaporin 4Cell MembraneCell PolarityData Interpretation, StatisticalDogsMadin Darby Canine Kidney CellsMicrotubulesProtein TransportStochastic ProcessesTransport VesiclesAquaporin 4

Identifiers

PMID23870254
PMCPMC3714888
OpenAlexW2086656420

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.