Title
Synaptic Connectivity In Engineered Neuronal Networks
Keywords
Action potential; Engineered networks; EPSC; Hippocampal cultures; Photolithography; SAM; Serum free; Synaptic connectivity
Abstract
We have developed a method to organize cells in dissociated cultures using engineered chemical clues on a culture surface and determined their connectivity patterns. Although almost all elements of the synaptic transmission machinery can be studied separately in single cell models in dissociated cultures, the complex physiological interactions between these elements are usually lost. Thus, factors affecting synaptic transmission are generally studied in organotypic cultures, brain slices, or in vivo where the cellular architecture generally remains intact. However, by utilizing engineered neuronal networks complex phenomenon such as synaptic transmission or synaptic plasticity can be studied in a simple, functional, cell culture-based system. We have utilized self-assembled monolayers and photolithography to create the surface templates. Embryonic hippocampal cells, plated on the resultant patterns in serum-free medium, followed the surface clues and formed the engineered neuronal networks. Basic whole-cell patch-clamp electrophysiology was applied to characterize the synaptic connectivity in these engineered two-cell networks. The same technology has been used to pattern other cell types such as cardiomyocytes or skeletal muscle fibers. © 2014 Springer Science+Business Media New York.
Publication Date
1-1-2014
Publication Title
Methods in Molecular Biology
Volume
1183
Number of Pages
243-252
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/978-1-4939-1096-0_15
Copyright Status
Unknown
Socpus ID
84924928576 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84924928576
STARS Citation
Molnar, Peter; Kang, Jung Fong; Bhargava, Neelima; Das, Mainak; and Hickman, James J., "Synaptic Connectivity In Engineered Neuronal Networks" (2014). Scopus Export 2010-2014. 9500.
https://stars.library.ucf.edu/scopus2010/9500