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利用纳米颗粒增强光穿孔对密集培养网络中的单个神经元进行选择性标记。

Selective Labeling of Individual Neurons in Dense Cultured Networks With Nanoparticle-Enhanced Photoporation.

作者信息

Xiong Ranhua, Verstraelen Peter, Demeester Jo, Skirtach Andre G, Timmermans Jean-Pierre, De Smedt Stefaan C, De Vos Winnok H, Braeckmans Kevin

机构信息

Laboratory of General Biochemistry and Physical Pharmacy, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium.

Centre for Nano- and Biophotonics, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium.

出版信息

Front Cell Neurosci. 2018 Mar 29;12:80. doi: 10.3389/fncel.2018.00080. eCollection 2018.

Abstract

Neurodevelopmental and neurodegenerative disorders are characterized by subtle alterations in synaptic connections and perturbed neuronal network functionality. A hallmark of neuronal connectivity is the presence of dendritic spines, micron-sized protrusions of the dendritic shaft that compartmentalize single synapses to fine-tune synaptic strength. However, accurate quantification of spine density and morphology in mature neuronal networks is hampered by the lack of targeted labeling strategies. To resolve this, we have optimized a method to deliver cell-impermeable compounds into selected cells based on Spatially resolved NAnoparticle-enhanced Photoporation (SNAP). We show that SNAP enables efficient labeling of selected individual neurons and their spines in dense cultured networks without affecting short-term viability. We compare SNAP with widely used spine labeling techniques such as the application of lipophilic dyes and genetically encoded fluorescent markers. Using SNAP, we demonstrate a time-dependent increase in spine density in healthy cultures as well as a reduction in spine density after chemical mimicry of hypoxia. Since the sparse labeling procedure can be automated using an intelligent acquisition scheme, SNAP holds promise for high-content screening campaigns of neuronal connectivity in the context of neurodevelopmental and neurodegenerative disorders.

摘要

神经发育障碍和神经退行性疾病的特征是突触连接的细微改变以及神经元网络功能紊乱。神经元连接的一个标志是树突棘的存在,树突棘是树突轴上微米大小的突起,将单个突触分隔开以微调突触强度。然而,由于缺乏靶向标记策略,成熟神经元网络中树突棘密度和形态的准确定量受到阻碍。为了解决这个问题,我们优化了一种基于空间分辨纳米颗粒增强光穿孔(SNAP)将细胞不可渗透化合物递送至选定细胞的方法。我们表明,SNAP能够在密集培养的网络中有效标记选定的单个神经元及其树突棘,而不影响短期活力。我们将SNAP与广泛使用的树突棘标记技术进行比较,如亲脂性染料的应用和基因编码荧光标记。使用SNAP,我们证明了在健康培养物中树突棘密度随时间增加,以及在化学模拟缺氧后树突棘密度降低。由于稀疏标记程序可以使用智能采集方案自动化,SNAP有望用于神经发育障碍和神经退行性疾病背景下神经元连接的高内涵筛选活动。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f02/5884872/89d4ad8d2310/fncel-12-00080-g0001.jpg

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