评估完整大脑中的单个神经元活动:使用杂交链式反应(HCR)检测清除脑组织中定位于细胞核的Arc mRNA

Q2 Neuroscience Current Protocols in Neuroscience Pub Date : 2018-06-26 DOI:10.1002/cpns.49
Emily E. Kramer, Patrick E. Steadman, Jonathan R. Epp, Paul W. Frankland, Sheena A. Josselyn
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引用次数: 10

摘要

Arc(活性调节细胞骨架相关蛋白)是一种可用于标记近期活跃神经元的即时早期基因。Arc在神经元活动后转录,其mRNA随后迅速转运到树突。该特性允许核定位的Arc mRNA定义系统或电路神经科学中最近活跃的神经元的集合。然而,典型的原位杂交技术严重限制了组织标本的厚度(通常为20µm脑切片)。在这里,我们描述了一种在大(4 × 4 × 3 mm)体积的完整小鼠脑组织中可视化核内Arc mRNA的方案。我们将组织清除方案(iDISCO+)与先进的原位杂交技术(杂交链反应[HCR])相结合,在整个完整的大脑区域检测核定位的Arc mRNA,而无需进行大脑切片或重建。我们成功地将该方案应用于小鼠基底外侧杏仁核神经元的图像集合,这些神经元在回忆条件恐惧记忆后活跃。©2018 by John Wiley &儿子,Inc。
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Assessing Individual Neuronal Activity Across the Intact Brain: Using Hybridization Chain Reaction (HCR) to Detect Arc mRNA Localized to the Nucleus in Volumes of Cleared Brain Tissue

Arc (activity-regulated cytoskeleton-associated protein) is an immediate early gene that may be used to label recently active neurons. Arc is transcribed following neuronal activity, and its mRNA is then rapidly transported to dendrites. This feature allows nuclear-localized Arc mRNA to define ensembles of recently active neurons in systems or circuit neuroscience. However, typical in situ hybridization techniques severely constrain the thickness of the tissue specimen (typically 20-µm brain slices). Here, we describe a protocol for visualizing intranuclear Arc mRNA in large (4 × 4 × 3 mm) volumes of intact mouse brain tissue. We combined a tissue clearing protocol (iDISCO+) with an advanced in situ hybridization technique (hybridization chain reaction [HCR]) to detect nuclear-localized Arc mRNA in whole, intact brain regions without the need for brain sectioning or reconstruction. We successfully applied this protocol to image ensembles of neurons of the basolateral amygdala in mice that are active following the recall of a conditioned fear memory. © 2018 by John Wiley & Sons, Inc.

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Current Protocols in Neuroscience
Current Protocols in Neuroscience Neuroscience-Neuroscience (all)
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期刊介绍: Current Protocols in Neuroscience is a one-stop resource for finding and adapting the best models and methods for all types of neuroscience experiments. Updated every three months in all formats, CPNS is constantly evolving to keep pace with the very latest discoveries and developments. A year of these quarterly updates is included in the initial CPNS purchase price.
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