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Comparing Transcriptome Profiles of Neurons Interfacing Adjacent Cells and Nanopatterned Substrates Reveals Fundamental Neuronal Interactions

机译:比较接合相邻细胞和纳米透明底物的神经元的转录组谱揭示了基本神经元相互作用

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Developing neuronal axons are directed by chemical and physical signals toward a myriad of target cells. According to current dogma, the resulting network architecture is critically shaped by electrical interconnections, the synapses; however, key mechanisms translating neuronal interactions into neuronal growth behavior during network formation are still unresolved. To elucidate these mechanisms, we examined neurons interfacing nanopatterned substrates and compared them to natural interneuron interactions. We grew similar neuronal populations under three connectivity conditions, (1) the neurons are isolated, (2) the neurons are interconnected, and (3) the neurons are connected only to artificial substrates, then quantitatively compared both the cell morphologies and the transcriptome-expression profiles. Our analysis shows that whereas axon-guidance signaling pathways in isolated neurons are predominant, in isolated neurons interfacing nanotopography, these pathways are downregulated, similar to the interconnected neurons. Moreover, in nanotopography, interfacing neuron genes related to synaptogenesis and synaptic regulation are highly expressed, that is, again resembling the behavior of interconnected neurons. These molecular findings demonstrate that interactions with nanotopographies, although not leading to electrical coupling, play a comparable functional role in two major routes, neuronal guidance and network formation, with high relevance to the design of regenerative interfaces.
机译:开发神经元轴突被化学和物理信号指向朝向无数靶细胞。根据当前的教条,由此产生的网络架构通过电互连,突触统治性塑造;然而,在网络形成期间将神经元相互作用转化为神经元生长行为的关键机制仍未得到解决。为了阐明这些机制,我们研究了神经接口纳米图形衬底和他们相比,自然中间神经元相互作用。我们在三个连通性条件下延长了相似的神经元群,(1)被隔离的神经元,(2)神经元互连,并且(3)神经元仅连接到人造基质,然后定量比较细胞形态和转录组表达式配置文件。我们的分析表明,当分离的神经元中的轴突引导信号通路是主要的,在分离的神经元接口纳米复印中,这些途径被下调,类似于互连的神经元。此外,在纳米发作中,高度表达了与突触和突触调节相关的神经元基因,即再次类似于相互联系的神经元的行为。这些分子结果表明,与纳米自行图相互作用,虽然没有导致电耦合,但在两个主要路线,神经元引导和网络形成中起着相当的功能作用,与再生界面的设计具有高相关性。

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