ArticleBMC biology2015
The dynamics of growth cone morphology.
Article in BMC biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 25 citations in OpenAlex.
- Terahertz Radiation Modulates Neuronal Morphology and Dynamics Properties.Brain sciences · 2024Review
- Prostaglandin E2 Increases Neurite Length and the Formation of Axonal Loops, and Regulates Cone Turning in Differentiating NE4C Cells Via PKA.Cellular and molecular neurobiology · 2022Article
- Frataxin Deficit Leads to Reduced Dynamics of Growth Cones in Dorsal Root Ganglia Neurons of Friedreich's Ataxia YG8sR Model: A Multilinear Algebra Approach.Frontiers in molecular neuroscience · 2022Article
- Emerging machine learning approaches to phenotyping cellular motility and morphodynamics.Physical biology · 2021Review
- Bumblebee visual allometry results in locally improved resolution and globally improved sensitivity.eLife · 2019Article
- Automated profiling of growth cone heterogeneity defines relations between morphology and motility.The Journal of cell biology · 2019Article
- Theoretical Models of Neural Development.iScience · 2018Review
- A low-cost microwell device for high-resolution imaging of neurite outgrowth in 3D.Journal of neural engineering · 2018Article
- Axon growth regulation by a bistable molecular switch.Proceedings. Biological sciences · 2018Article
- Neuronal Growth Cone Size-Dependent and -Independent Parameters of Microtubule Polymerization.Frontiers in cellular neuroscience · 2018Article
- An Automated Strategy for Unbiased Morphometric Analyses and Classifications of Growth Cones In Vitro.PloS one · 2015Article
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNormal brain function depends on the development of appropriate patterns of neural connections. A critical role in guiding axons to their targets during neural development is played by neuronal growth cones. These have a complex and rapidly changing morphology; however, a quantitative understanding of this morphology, its dynamics and how these are related to growth cone movement, is lacking.
resultsHere we use eigenshape analysis (principal components analysis in shape space) to uncover the set of five to six basic shape modes that capture the most variance in growth cone form. By analysing how the projections of growth cones onto these principal modes evolve in time, we found that growth cone shape oscillates with a mean period of 30 min. The variability of oscillation periods and strengths between different growth cones was correlated with their forward movement, such that growth cones with strong, fast shape oscillations tended to extend faster. A simple computational model of growth cone shape dynamics based on dynamic microtubule instability was able to reproduce quantitatively both the mean and variance of oscillation periods seen experimentally, suggesting that the principal driver of growth cone shape oscillations may be intrinsic periodicity in cytoskeletal rearrangements.
conclusionsIntrinsically driven shape oscillations are an important component of growth cone shape dynamics. More generally, eigenshape analysis has the potential to provide new quantitative information about differences in growth cone behaviour in different conditions.
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