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3D工程化神经元培养物的网络动力学:一种用于体外电生理学的新实验模型。

Network dynamics of 3D engineered neuronal cultures: a new experimental model for in-vitro electrophysiology.

作者信息

Frega Monica, Tedesco Mariateresa, Massobrio Paolo, Pesce Mattia, Martinoia Sergio

机构信息

1] Neuroengineering and Bionanotechnology Lab (NBT), Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS), University of Genova, Via All'Opera Pia 13, 16145 - Genova, Italy [2].

Neuroengineering and Bionanotechnology Lab (NBT), Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS), University of Genova, Via All'Opera Pia 13, 16145 - Genova, Italy.

出版信息

Sci Rep. 2014 Jun 30;4:5489. doi: 10.1038/srep05489.

DOI:10.1038/srep05489
PMID:24976386
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4074835/
Abstract

Despite the extensive use of in-vitro models for neuroscientific investigations and notwithstanding the growing field of network electrophysiology, all studies on cultured cells devoted to elucidate neurophysiological mechanisms and computational properties, are based on 2D neuronal networks. These networks are usually grown onto specific rigid substrates (also with embedded electrodes) and lack of most of the constituents of the in-vivo like environment: cell morphology, cell-to-cell interaction and neuritic outgrowth in all directions. Cells in a brain region develop in a 3D space and interact with a complex multi-cellular environment and extracellular matrix. Under this perspective, 3D networks coupled to micro-transducer arrays, represent a new and powerful in-vitro model capable of better emulating in-vivo physiology. In this work, we present a new experimental paradigm constituted by 3D hippocampal networks coupled to Micro-Electrode-Arrays (MEAs) and we show how the features of the recorded network dynamics differ from the corresponding 2D network model. Further development of the proposed 3D in-vitro model by adding embedded functionalized scaffolds might open new prospects for manipulating, stimulating and recording the neuronal activity to elucidate neurophysiological mechanisms and to design bio-hybrid microsystems.

摘要

尽管体外模型在神经科学研究中被广泛使用,并且网络电生理学领域也在不断发展,但所有致力于阐明神经生理机制和计算特性的培养细胞研究都是基于二维神经元网络。这些网络通常生长在特定的刚性基质上(也有嵌入电极的情况),并且缺乏体内环境的大多数组成部分:细胞形态、细胞间相互作用以及向各个方向的神经突生长。脑区中的细胞在三维空间中发育,并与复杂的多细胞环境和细胞外基质相互作用。从这个角度来看,与微传感器阵列耦合的三维网络代表了一种新的强大的体外模型,能够更好地模拟体内生理学。在这项工作中,我们展示了一种由与微电极阵列(MEA)耦合的三维海马网络构成的新实验范式,并展示了记录的网络动力学特征与相应二维网络模型的差异。通过添加嵌入的功能化支架进一步发展所提出的三维体外模型,可能为操纵、刺激和记录神经元活动以阐明神经生理机制以及设计生物混合微系统开辟新的前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1961/4074835/2989350965d5/srep05489-f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1961/4074835/32c83886ac84/srep05489-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1961/4074835/1403b8080214/srep05489-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1961/4074835/b6f4cd53bdbf/srep05489-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1961/4074835/f0797b3978c0/srep05489-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1961/4074835/5581de2cc39a/srep05489-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1961/4074835/ed8329c00d5f/srep05489-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1961/4074835/2989350965d5/srep05489-f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1961/4074835/32c83886ac84/srep05489-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1961/4074835/1403b8080214/srep05489-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1961/4074835/b6f4cd53bdbf/srep05489-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1961/4074835/f0797b3978c0/srep05489-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1961/4074835/5581de2cc39a/srep05489-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1961/4074835/ed8329c00d5f/srep05489-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1961/4074835/2989350965d5/srep05489-f7.jpg

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