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大规模声驱动神经元模式化和定向生长。

Large-scale acoustic-driven neuronal patterning and directed outgrowth.

机构信息

Faculty of Engineering, Bar-Ilan University, Ramat Gan, Israel.

Bar-Ilan Institute of Nanotechnologies and Advanced Materials, Bar-Ilan University, Ramat Gan, Israel.

出版信息

Sci Rep. 2020 Mar 18;10(1):4932. doi: 10.1038/s41598-020-60748-2.

Abstract

Acoustic manipulation is an emerging non-invasive method enabling precise spatial control of cells in their native environment. Applying this method for organizing neurons is invaluable for neural tissue engineering applications. Here, we used surface and bulk standing acoustic waves for large-scale patterning of Dorsal Root Ganglia neurons and PC12 cells forming neuronal cluster networks, organized biomimetically. We showed that by changing parameters such as voltage intensity or cell concentration we were able to affect cluster properties. We examined the effects of acoustic arrangement on cells atop 3D hydrogels for up to 6 days and showed that assembled cells spontaneously grew branches in a directed manner towards adjacent clusters, infiltrating the matrix. These findings have great relevance for tissue engineering applications as well as for mimicking architectures and properties of native tissues.

摘要

声操控是一种新兴的非侵入式方法,能够在细胞的天然环境中实现对其的精确空间控制。将该方法应用于神经元的组织中,对于神经组织工程应用具有重要意义。在这里,我们使用表面和体声波对背根神经节神经元和 PC12 细胞进行大规模图案化,形成仿生组织的神经元簇网络。我们表明,通过改变电压强度或细胞浓度等参数,我们能够影响簇的性质。我们研究了声排布对三维水凝胶上细胞的影响,时间长达 6 天,结果表明,组装后的细胞会自发地以定向方式向相邻的簇生长分支,渗透到基质中。这些发现对于组织工程应用以及模拟天然组织的结构和特性具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4490/7080736/fac70ecca7ce/41598_2020_60748_Fig1_HTML.jpg

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