Issue 49, 2015

Tuning neuron adhesion and neurite guiding using functionalized AuNPs and backfill chemistry

Abstract

The adhesion of neurons depends on the interplay between attractive as well as repellant cues in the cell membrane and adhesion ligands in their cellular environment. In this study, an easy and versatile strategy is presented to control the density of cell binding sites embedded in a cell repulsive environment attached to a solid surface. Gold nanoparticles modified by positively charged aminoalkyl thiols are used as artificial neuron adhesion ligands. The density of the nanoparticles and their environment is varied by applying either no backfill, poly(ethylene glycol)-silane, or octyltrichlorosilane backfill. By this means the chemical composition of both cell attractive adhesion ligands and surrounding repellant cues is tuned on the nanometer scale. Primary rat cortical neurons are cultured on these particle modified surfaces. The viability and neuritogenesis of neurons is investigated as a function of particle density and background composition. A strong dependence of neuron viability on both averaged particle density and backfill composition is found in particular for intermediate particle packing. At high particle densities, the kind of backfill does not affect the cell viability but influences the development of neurites. This knowledge is used to enhance the guiding efficiency of neuron adhesion to more than 90% on nanopatterned surfaces.

Graphical abstract: Tuning neuron adhesion and neurite guiding using functionalized AuNPs and backfill chemistry

Article information

Article type
Paper
Submitted
24 Feb 2015
Accepted
23 Apr 2015
First published
23 Apr 2015
This article is Open Access
Creative Commons BY license

RSC Adv., 2015,5, 39252-39262

Tuning neuron adhesion and neurite guiding using functionalized AuNPs and backfill chemistry

P. Li, K. Greben, R. Wördenweber, U. Simon, A. Offenhäusser and D. Mayer, RSC Adv., 2015, 5, 39252 DOI: 10.1039/C5RA06901G

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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