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秀丽隐杆线虫中突触荧光的自动定量分析。

Automated quantification of synaptic fluorescence in C. elegans.

作者信息

Sturt Brianne L, Bamber Bruce A

机构信息

Department of Biological Sciences, University of Toledo, USA.

出版信息

J Vis Exp. 2012 Aug 10(66):4090. doi: 10.3791/4090.

Abstract

Synapse strength refers to the amplitude of postsynaptic responses to presynaptic neurotransmitter release events, and has a major impact on overall neural circuit function. Synapse strength critically depends on the abundance of neurotransmitter receptors clustered at synaptic sites on the postsynaptic membrane. Receptor levels are established developmentally, and can be altered by receptor trafficking between surface-localized, subsynaptic, and intracellular pools, representing important mechanisms of synaptic plasticity and neuromodulation. Rigorous methods to quantify synaptically-localized neurotransmitter receptor abundance are essential to study synaptic development and plasticity. Fluorescence microscopy is an optimal approach because it preserves spatial information, distinguishing synaptic from non-synaptic pools, and discriminating among receptor populations localized to different types of synapses. The genetic model organism Caenorhabditis elegans is particularly well suited for these studies due to the small size and relative simplicity of its nervous system, its transparency, and the availability of powerful genetic techniques, allowing examination of native synapses in intact animals. Here we present a method for quantifying fluorescently-labeled synaptic neurotransmitter receptors in C. elegans. Its key feature is the automated identification and analysis of individual synapses in three dimensions in multi-plane confocal microscope output files, tabulating position, volume, fluorescence intensity, and total fluorescence for each synapse. This approach has two principal advantages over manual analysis of z-plane projections of confocal data. First, because every plane of the confocal data set is included, no data are lost through z-plane projection, typically based on pixel intensity averages or maxima. Second, identification of synapses is automated, but can be inspected by the experimenter as the data analysis proceeds, allowing fast and accurate extraction of data from large numbers of synapses. Hundreds to thousands of synapses per sample can easily be obtained, producing large data sets to maximize statistical power. Considerations for preparing C. elegans for analysis, and performing confocal imaging to minimize variability between animals within treatment groups are also discussed. Although developed to analyze C. elegans postsynaptic receptors, this method is generally useful for any type of synaptically-localized protein, or indeed, any fluorescence signal that is localized to discrete clusters, puncta, or organelles. The procedure is performed in three steps: 1) preparation of samples, 2) confocal imaging, and 3) image analysis. Steps 1 and 2 are specific to C. elegans, while step 3 is generally applicable to any punctate fluorescence signal in confocal micrographs.

摘要

突触强度是指突触后对突触前神经递质释放事件的反应幅度,对整个神经回路功能有重大影响。突触强度关键取决于聚集在突触后膜突触部位的神经递质受体的丰度。受体水平在发育过程中确立,并可通过受体在表面定位、突触下和细胞内池之间的转运而改变,这代表了突触可塑性和神经调节的重要机制。量化突触定位的神经递质受体丰度的严格方法对于研究突触发育和可塑性至关重要。荧光显微镜是一种最佳方法,因为它保留了空间信息,可区分突触池和非突触池,并区分定位于不同类型突触的受体群体。由于其神经系统体积小、相对简单、具有透明性以及拥有强大的遗传技术,遗传模式生物秀丽隐杆线虫特别适合这些研究,从而能够在完整动物中检查天然突触。在此,我们介绍一种量化秀丽隐杆线虫中荧光标记的突触神经递质受体的方法。其关键特征是在多平面共聚焦显微镜输出文件中对单个突触进行三维自动识别和分析,将每个突触的位置、体积、荧光强度和总荧光制成表格。与手动分析共聚焦数据的z平面投影相比,这种方法有两个主要优点。首先,由于包含了共聚焦数据集的每个平面,不会因通常基于像素强度平均值或最大值的z平面投影而丢失数据。其次,突触的识别是自动的,但实验者在数据分析过程中可以检查,从而能够从大量突触中快速准确地提取数据。每个样本轻松获得数百到数千个突触,生成大数据集以最大化统计功效。本文还讨论了为分析准备秀丽隐杆线虫以及进行共聚焦成像以最小化处理组内动物之间变异性的注意事项。尽管该方法是为分析秀丽隐杆线虫的突触后受体而开发的,但通常适用于任何类型的突触定位蛋白,实际上,也适用于定位于离散簇、斑点或细胞器的任何荧光信号。该过程分三步进行:1)样本制备,2)共聚焦成像,3)图像分析。步骤1和2特定于秀丽隐杆线虫,而步骤3通常适用于共聚焦显微照片中的任何点状荧光信号。

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