Evidence map›Paper›PMID 26578882›Full record

ArticleFrontiers in cellular neuroscience2015

Traction force and tension fluctuations in growing axons.

Robert J Polackwich, Daniel Koch, Ryan McAllister, Herbert M Geller, Jeffrey S Urbach

Abstract read
In one paragraph

Article in Frontiers in cellular neuroscience, 2015. 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
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Manipulation of Axonal Outgrowth via Exogenous Low Forces.International journal of molecular sciences · 2020
    Review
  6. Article
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

5 authors.

Robert J PolackwichDepartment of Physics and The Institute for Soft Matter Synthesis and Metrology, Georgetown University Washington, DC, USA.
Daniel KochDepartment of Physics and The Institute for Soft Matter Synthesis and Metrology, Georgetown University Washington, DC, USA.
Ryan McAllisterDepartment of Physics and The Institute for Soft Matter Synthesis and Metrology, Georgetown University Washington, DC, USA.
Herbert M GellerDevelopmental Neurobiology Section, Cell Biology and Physiology Center, National Heart, Lung, and Blood Institute, National Institutes of Health Bethesda, MD, USA.
Jeffrey S UrbachDepartment of Physics and The Institute for Soft Matter Synthesis and Metrology, Georgetown University Washington, DC, USA.

Funding

Signaling by Chondroitin Sulfate ProteoglycansZIAHL006021 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI GELLER, HERBERT M. · 2009 to 2022
$12.3M
Mechanisms of axonal pathfinding in three dimensional matricesR01NS064250 · NINDS · GEORGETOWN UNIVERSITY · PI URBACH, JEFFREY S. · 2009 to 2013
$1.6M
NINDS NIH HHS R01 NS064250
6 · The paper itself

Abstract

Actively generated mechanical forces play a central role in axon growth and guidance, but the mechanisms that underly force generation and regulation in growing axons remain poorly understood. We report measurements of the dynamics of traction stresses from growth cones of actively advancing axons from postnatal rat DRG neurons. By tracking the movement of the growth cone and analyzing the traction stress field from a reference frame that moves with it, we are able to show that there is a clear and consistent average stress field that underlies the complex spatial stresses present at any one time. The average stress field has strong maxima on the sides of the growth cone, directed inward toward the growth cone neck. This pattern represents a contractile stress contained within the growth cone, and a net force that is balanced by the axon tension. Using high time-resolution measurements of the growth cone traction stresses, we show that the stress field is composed of fluctuating local stress peaks, with a large number peaks that live for a short time, a population of peaks whose lifetime distribution follows an exponential decay, and a small number of very long-lived peaks. We show that the high time-resolution data also reveal that the tension appears to vary randomly over short time scales, roughly consistent with the lifetime of the stress peaks, suggesting that the tension fluctuations originate from stochastic adhesion dynamics.

Indexed as

axon outgrowthDRG neuronsgrowth conemechanicalstresstraction force

Identifiers

PMID26578882
PMCPMC4624864

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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.