Literature DB >> 35101418

Feedback-controlled dynamics of neuronal cells on directional surfaces.

Marc Descoteaux1, Jacob P Sunnerberg1, Donovan D Brady1, Cristian Staii2.   

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.
Copyright © 2022 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2022        PMID: 35101418      PMCID: PMC8943704          DOI: 10.1016/j.bpj.2022.01.020

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  46 in total

1.  Significantly improved trapping lifetime of nanoparticles in an optical trap using feedback control.

Authors:  Arvind Balijepalli; Jason J Gorman; Satyandra K Gupta; Thomas W LeBrun
Journal:  Nano Lett       Date:  2012-04-18       Impact factor: 11.189

2.  Automatic control and directed cell movement. Novel approach for understanding chemotaxis, galvanotaxis, galvanotropism.

Authors:  H Gruler; K Franke
Journal:  Z Naturforsch C J Biosci       Date:  1990 Nov-Dec

3.  Cell motility as persistent random motion: theories from experiments.

Authors:  David Selmeczi; Stephan Mosler; Peter H Hagedorn; Niels B Larsen; Henrik Flyvbjerg
Journal:  Biophys J       Date:  2005-06-10       Impact factor: 4.033

4.  Delay-induced transport in a rocking ratchet under feedback control.

Authors:  Sarah A M Loos; Robert Gernert; Sabine H L Klapp
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2014-05-27

5.  Role of geometrical cues in neuronal growth.

Authors:  Joao Marcos Vensi Basso; Ilya Yurchenko; Marc Simon; Daniel J Rizzo; Cristian Staii
Journal:  Phys Rev E       Date:  2019-02       Impact factor: 2.529

6.  'Dicty dynamics': Dictyostelium motility as persistent random motion.

Authors:  Liang Li; Edward C Cox; Henrik Flyvbjerg
Journal:  Phys Biol       Date:  2011-05-25       Impact factor: 2.583

7.  Axonal outgrowth on nano-imprinted patterns.

Authors:  Fredrik Johansson; Patrick Carlberg; Nils Danielsen; Lars Montelius; Martin Kanje
Journal:  Biomaterials       Date:  2005-09-06       Impact factor: 12.479

8.  Adhesive micro-line periodicity determines guidance of axonal outgrowth.

Authors:  Steven R Hart; Yu Huang; Thomas Fothergill; Derek C Lumbard; Erik W Dent; Justin C Williams
Journal:  Lab Chip       Date:  2013-02-21       Impact factor: 6.799

9.  Superimposed topographic and chemical cues synergistically guide neurite outgrowth.

Authors:  Arnab Kundu; Liesbeth Micholt; Sarah Friedrich; Danielle R Rand; Carmen Bartic; Dries Braeken; Andre Levchenko
Journal:  Lab Chip       Date:  2013-08-07       Impact factor: 6.799

10.  Focal contacts as mechanosensors: externally applied local mechanical force induces growth of focal contacts by an mDia1-dependent and ROCK-independent mechanism.

Authors:  D Riveline; E Zamir; N Q Balaban; U S Schwarz; T Ishizaki; S Narumiya; Z Kam; B Geiger; A D Bershadsky
Journal:  J Cell Biol       Date:  2001-06-11       Impact factor: 10.539

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