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快速大容量功能成像的工程体外脑组织。

Fast wide-volume functional imaging of engineered in vitro brain tissues.

机构信息

Department of Neuroscience and Brain Technologies, Fondazione Istituto Italiano di Tecnologia, Genoa, Italy.

Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy.

出版信息

Sci Rep. 2017 Aug 17;7(1):8499. doi: 10.1038/s41598-017-08979-8.

DOI:10.1038/s41598-017-08979-8
PMID:28819205
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5561227/
Abstract

The need for in vitro models that mimic the human brain to replace animal testing and allow high-throughput screening has driven scientists to develop new tools that reproduce tissue-like features on a chip. Three-dimensional (3D) in vitro cultures are emerging as an unmatched platform that preserves the complexity of cell-to-cell connections within a tissue, improves cell survival, and boosts neuronal differentiation. In this context, new and flexible imaging approaches are required to monitor the functional states of 3D networks. Herein, we propose an experimental model based on 3D neuronal networks in an alginate hydrogel, a tunable wide-volume imaging approach, and an efficient denoising algorithm to resolve, down to single cell resolution, the 3D activity of hundreds of neurons expressing the calcium sensor GCaMP6s. Furthermore, we implemented a 3D co-culture system mimicking the contiguous interfaces of distinct brain tissues such as the cortical-hippocampal interface. The analysis of the network activity of single and layered neuronal co-cultures revealed cell-type-specific activities and an organization of neuronal subpopulations that changed in the two culture configurations. Overall, our experimental platform represents a simple, powerful and cost-effective platform for developing and monitoring living 3D layered brain tissue on chip structures with high resolution and high throughput.

摘要

需要能够模拟人脑的体外模型来替代动物测试并允许高通量筛选,这促使科学家们开发出能够在芯片上复制组织样特征的新工具。三维(3D)体外培养正在成为一种无与伦比的平台,它保留了组织内细胞间连接的复杂性,提高了细胞存活率,并促进了神经元分化。在这种情况下,需要新的灵活的成像方法来监测 3D 网络的功能状态。在这里,我们提出了一种基于藻酸盐水凝胶中的 3D 神经元网络的实验模型、一种可调谐的大容量成像方法和一种有效的去噪算法,以单细胞分辨率解析表达钙传感器 GCaMP6s 的数百个神经元的 3D 活动。此外,我们实现了一种 3D 共培养系统,模拟了不同脑组织(如皮质-海马界面)的连续界面。对单层和分层神经元共培养网络活动的分析显示出细胞类型特异性活动,以及在两种培养配置中改变的神经元亚群组织。总的来说,我们的实验平台代表了一种简单、强大且具有成本效益的平台,用于开发和监测具有高分辨率和高通量的活 3D 层状脑芯片结构。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d58b/5561227/ec6d5a1511f1/41598_2017_8979_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d58b/5561227/8ad86bb4e95f/41598_2017_8979_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d58b/5561227/1afeb2db1c1c/41598_2017_8979_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d58b/5561227/ec6d5a1511f1/41598_2017_8979_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d58b/5561227/8ad86bb4e95f/41598_2017_8979_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d58b/5561227/35dee14216b5/41598_2017_8979_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d58b/5561227/8a041e8daf67/41598_2017_8979_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d58b/5561227/83690d79475e/41598_2017_8979_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d58b/5561227/c4d22f36b75f/41598_2017_8979_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d58b/5561227/1afeb2db1c1c/41598_2017_8979_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d58b/5561227/ec6d5a1511f1/41598_2017_8979_Fig7_HTML.jpg

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