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运动神经元的免疫荧光和图像分析流程

Immunofluorescence and image analysis pipeline for motor neurons.

作者信息

Brown Jeremy R, Phongthachit Chanpasith, Sulkowski Mikolaj J

机构信息

Biology Department, Southern Arkansas University, Magnolia, AR, USA.

Department of Molecular, Cellular, and Developmental Biology, University of Colorado, Boulder, CO, USA.

出版信息

Biol Methods Protoc. 2019;4(1):bpz010. doi: 10.1093/biomethods/bpz010. Epub 2019 Aug 1.

Abstract

The neuromuscular junction (NMJ) of larval is widely used as a genetic model for basic neuroscience research. The presynaptic side of the NMJ is formed by axon terminals of motor neurons, the soma of which reside in the ventral ganglion of the central nervous system (CNS). Here we describe a streamlined protocol for dissection and immunostaining of the CNS and NMJ that allows processing of multiple genotypes within a single staining tube. We also present a computer script called Automated Image Analysis with Background Subtraction which facilitates identification of motor nuclei, quantification of pixel intensity, and background subtraction. Together, these techniques provide a pipeline for neuroscientists to compare levels of different biomolecules in motor nuclei. We conclude that these methods should be adaptable to a variety of different cell and tissue types for the improvement of efficiency, reproducibility, and throughput during data quantification.

摘要

幼虫的神经肌肉接头(NMJ)被广泛用作基础神经科学研究的遗传模型。NMJ的突触前侧由运动神经元的轴突终末形成,其胞体位于中枢神经系统(CNS)的腹神经节中。在这里,我们描述了一种用于CNS和NMJ解剖及免疫染色的简化方案,该方案允许在单个染色管内处理多种基因型。我们还展示了一个名为“带背景减除的自动图像分析”的计算机脚本,它有助于识别运动核、量化像素强度以及减除背景。这些技术共同为神经科学家提供了一个比较运动核中不同生物分子水平的流程。我们得出结论,这些方法应适用于各种不同的细胞和组织类型,以提高数据量化过程中的效率、可重复性和通量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd15/7045347/d765d1cdb5fa/bpz010f1.jpg

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