% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Albers:188772,
author = {Albers, Jonas and Toma, Koji and Offenhäusser, Andreas},
title = {{E}ngineering connectivity by multiscale micropatterning of
individual populations of neurons},
journal = {Biotechnology journal},
volume = {10},
number = {2},
issn = {1860-6768},
address = {Weinheim},
publisher = {Wiley-VCH},
reportid = {FZJ-2015-02091},
pages = {332 - 338},
year = {2015},
abstract = {Functional networks are the basis of information processing
in the central nervous system. Essential for their formation
are guided neuronal growth as well as controlled
connectivity and information flow. The basis of neuronal
development is generated by guiding cues and geometric
constraints. To investigate the neuronal growth and
connectivity of adjacent neuronal networks, two-dimensional
protein patterns were created. A mixture of poly-L-lysine
and laminin was transferred onto a silanized glass surface
by microcontact printing. The structures were populated with
dissociated primary cortical embryonic rat neurons.
Triangular structures with diverse opening angles, height,
and design were chosen as two-dimensional structures to
allow network formation with constricted gateways. Neuronal
development was observed by immunohistochemistry to pursue
the influence of the chosen structures on the neuronal
outgrowth. Neurons were stained for MAP2, while
poly-L-lysine was FITC labeled. With this study we present
an easy-to-use technique to engineer two-dimensional
networks in vitro with defined gateways. The presented
micropatterning method is used to generate daisy-chained
neuronal networks with predefined connectivity. Signal
propagation among geometrically constrained networks can
easily be monitored by calcium-sensitive dyes, providing
insights into network communication in vitro.},
cin = {ICS-8 / PGI-8 / JARA-FIT},
ddc = {570},
cid = {I:(DE-Juel1)ICS-8-20110106 / I:(DE-Juel1)PGI-8-20110106 /
$I:(DE-82)080009_20140620$},
pnm = {552 - Engineering Cell Function (POF3-552)},
pid = {G:(DE-HGF)POF3-552},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000350104700014},
pubmed = {pmid:25512037},
doi = {10.1002/biot.201400609},
url = {https://juser.fz-juelich.de/record/188772},
}