ArticleBiophysical journal2022
Feedback-controlled dynamics of neuronal cells on directional surfaces.
Article in Biophysical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Feedback-Driven Dynamical Model for Axonal Extension on Parallel Micropatterns.Biomimetics (Basel, Switzerland) · 2025Article
- Stress landscape of folding brain serves as a map for axonal pathfinding.Nature communications · 2025Article
- Nonlinear Growth Dynamics of Neuronal Cells Cultured on Directional Surfaces.Biomimetics (Basel, Switzerland) · 2024Article
- Biased Random Walk Model of Neuronal Dynamics on Substrates with Periodic Geometrical Patterns.Biomimetics (Basel, Switzerland) · 2023Article
- A new view of axon growth and guidance grounded in the stochastic dynamics of actin networks.Open biology · 2023Article
- Combined Traction Force-Atomic Force Microscopy Measurements of Neuronal Cells.Biomimetics (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The formation of neuronal networks is a complex phenomenon of fundamental importance for understanding the development of the nervous system. The basic process underlying the network formation is axonal growth, a process involving the extension of axons from the cell body and axonal navigation toward target neurons. Axonal growth is guided by the interactions between the tip of the axon (growth cone) and its extracellular environmental cues, which include intercellular interactions, the biochemical landscape around the neuron, and the mechanical and geometrical features of the growth substrate. Here, we present a comprehensive experimental and theoretical analysis of axonal growth for neurons cultured on micropatterned polydimethylsiloxane (PDMS) surfaces. We demonstrate that closed-loop feedback is an essential component of axonal dynamics on these surfaces: the growth cone continuously measures environmental cues and adjusts its motion in response to external geometrical features. We show that this model captures all the characteristics of axonal dynamics on PDMS surfaces for both untreated and chemically modified neurons. We combine experimental data with theoretical analysis to measure key parameters that describe axonal dynamics: diffusion (cell motility) coefficients, speed and angular distributions, and cell-substrate interactions. The experiments performed on neurons treated with Taxol (inhibitor of microtubule dynamics) and Y-27632 (disruptor of actin filaments) indicate that the internal dynamics of microtubules and actin filaments plays a critical role for the proper function of the feedback mechanism. Our results demonstrate that axons follow geometrical patterns through a contact-guidance mechanism, in which high-curvature geometrical features impart high traction forces to the growth cone. These results have important implications for our fundamental understanding of axonal growth as well as for bioengineering novel substrate to guide neuronal growth and promote nerve repair.
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