Evidence map›Paper›PMID 27225265›Full record

ArticleProtein & cell2016

A new method for quantifying mitochondrial axonal transport.

Mengmeng Chen, Yang Li, Mengxue Yang, Xiaoping Chen, Yemeng Chen, Fan Yang, Sheng Lu, Shengyu Yao, Timothy Zhou, Jianghong Liu and 3 more

Abstract read
In one paragraph

Article in Protein & cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Review
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  6. Review
  7. Article
  8. Review
  9. Mitochondrial behavior when things go wrong in the axon.Frontiers in cellular neuroscience · 2022
    Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. Article
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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

13 authors.

Mengmeng ChenUniversity of Chinese Academy of Sciences, Beijing, 100049, China.
Yang LiSchool of Electronic Science & Engineering, Nanjing University, Nanjing, 210093, China. yogo@nju.edu.cn.
Mengxue YangUniversity of Chinese Academy of Sciences, Beijing, 100049, China.
Xiaoping ChenDepartment of Neurology, Center for Genetic Medicine, Lurie Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
Yemeng ChenSchool of Electronic Science & Engineering, Nanjing University, Nanjing, 210093, China.
Fan YangSchool of Electronic Science & Engineering, Nanjing University, Nanjing, 210093, China.
Sheng LuSchool of Electronic Science & Engineering, Nanjing University, Nanjing, 210093, China.
Shengyu YaoDepartment of Neurology, Center for Genetic Medicine, Lurie Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
Timothy ZhouDepartment of Neurology, Center for Genetic Medicine, Lurie Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
Jianghong LiuState Key Laboratory for Brain & Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
Li ZhuState Key Laboratory for Brain & Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
Sidan DuSchool of Electronic Science & Engineering, Nanjing University, Nanjing, 210093, China.
Jane Y WuState Key Laboratory for Brain & Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China. jane-wu@northwestern.edu.

Funding

The role of deubiquitinating enzyme USP33 in Slit-Robo signaling in lung cancerR01CA175360 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI WU, JANE Y · 2014 to 2018
$2.2M
Mechanisms regulating tau alternative pre-mRNA splicingR01AG033004 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI WU, JANE Y · 2011 to 2015
$1.5M
Searching for Genetic Modifiers of TDP-43 Proteinopathy Using an Animal ModelR56NS074763 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI WU, JANE Y · 2011 to 2011
$375k
NCI NIH HHS R01 CA175360NIA NIH HHS R01 AG033004NINDS NIH HHS R56 NS074763
6 · The paper itself

Abstract

Axonal transport of mitochondria is critical for neuronal survival and function. Automatically quantifying and analyzing mitochondrial movement in a large quantity remain challenging. Here, we report an efficient method for imaging and quantifying axonal mitochondrial transport using microfluidic-chamber-cultured neurons together with a newly developed analysis package named "MitoQuant". This tool-kit consists of an automated program for tracking mitochondrial movement inside live neuronal axons and a transient-velocity analysis program for analyzing dynamic movement patterns of mitochondria. Using this method, we examined axonal mitochondrial movement both in cultured mammalian neurons and in motor neuron axons of Drosophila in vivo. In 3 different paradigms (temperature changes, drug treatment and genetic manipulation) that affect mitochondria, we have shown that this new method is highly efficient and sensitive for detecting changes in mitochondrial movement. The method significantly enhanced our ability to quantitatively analyze axonal mitochondrial movement and allowed us to detect dynamic changes in axonal mitochondrial transport that were not detected by traditional kymographic analyses.

Indexed as

AnimalsAxonal TransportCerebral CortexDrosophila melanogasterEmbryo, MammalianGene ExpressionLab-On-A-Chip DevicesMicroscopy, ConfocalMitochondriaMotor NeuronsMovementMutationPrimary Cell CultureRatsRats, Sprague-DawleyRNA-Binding Protein FUSRNA-Binding Protein FUSFUS proteinopathy and mitochondrial transport defectimage processing and analysismitochondrial transport

Identifiers

PMID27225265
PMCPMC5084152

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Registered trials

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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.