Ghosal Ritika, Eberhart Johann K
Molecular Biosciences, College of Natural Sciences, University of Texas at Austin, Austin, TX, USA.
Waggoner Center for Alcohol & Addiction Research, University of Texas at Austin, Austin, TX, USA.
Bio Protoc. 2025 Feb 20;15(4):e5219. doi: 10.21769/BioProtoc.5219.
Communication between motor neurons and muscles is established by specialized synaptic connections known as neuromuscular junctions (NMJs). Altered morphology or numbers of NMJs in the developing muscles can indicate a disease phenotype. The distribution and count of NMJs have been studied in the context of several developmental disorders in different model organisms, including zebrafish. While most of these studies involved manual counting of NMJs, a few of them employed image analysis software for automated quantification. However, these studies were primarily restricted to the trunk musculature of zebrafish. These trunk muscles have a simple and reiterated anatomy, but the cranial musculoskeletal system is much more complex. Here, we describe a stepwise protocol for the visualization and quantification of NMJs in the ventral cranial muscles of zebrafish larvae. We have used a combination of existing ImageJ plugins to develop this methodology, aiming for reproducibility and precision. The protocol allows us to analyze a specific set of cranial muscles by choosing an area of interest. Using background subtraction, pixel intensity thresholding, and watershed algorithm, the images are segmented. The binary images are then used for NMJ quantification using the Analyze Particles tool. This protocol is cost-effective because, unlike other licensed image analyzers, ImageJ is open-source and available free of cost. Key features • Immunostaining neuromuscular junctions in alcohol-exposed zebrafish. • Quantification of presynaptic and postsynaptic terminals in cranial muscles of zebrafish larvae. • Analysis of size and distribution of NMJs in cranial muscles of zebrafish larvae.
运动神经元与肌肉之间的通讯是通过一种称为神经肌肉接头(NMJ)的特殊突触连接建立的。发育中的肌肉中NMJ的形态或数量改变可能表明疾病表型。在包括斑马鱼在内的不同模式生物中,已经在几种发育障碍的背景下研究了NMJ的分布和数量。虽然这些研究大多涉及手动计数NMJ,但其中一些使用了图像分析软件进行自动定量。然而,这些研究主要局限于斑马鱼的躯干肌肉组织。这些躯干肌肉具有简单且重复的解剖结构,但颅面肌肉骨骼系统要复杂得多。在这里,我们描述了一种用于可视化和定量斑马鱼幼体腹侧颅面肌肉中NMJ的逐步方案。我们结合了现有的ImageJ插件来开发这种方法,旨在实现可重复性和精确性。该方案允许我们通过选择感兴趣的区域来分析一组特定的颅面肌肉。使用背景减法、像素强度阈值化和分水岭算法对图像进行分割。然后使用“分析粒子”工具对二值化图像进行NMJ定量。该方案具有成本效益,因为与其他有许可证的图像分析仪不同,ImageJ是开源的且免费可用。关键特性 • 对酒精暴露的斑马鱼中的神经肌肉接头进行免疫染色。 • 定量斑马鱼幼体颅面肌肉中的突触前和突触后终末。 • 分析斑马鱼幼体颅面肌肉中NMJ的大小和分布。