Stanko Jason P, Fenton Suzanne E
National Toxicology Program Laboratory, Division of the National Toxicology Program, National Institute of Environmental Health Sciences.
National Toxicology Program Laboratory, Division of the National Toxicology Program, National Institute of Environmental Health Sciences;
J Vis Exp. 2017 Jul 12(125):55789. doi: 10.3791/55789.
An increasing number of studies are utilizing the rodent mammary gland as an endpoint for assessing the developmental toxicity of a chemical exposure. The effects these exposures have on mammary gland development are typically evaluated using either basic dimensional measurements or by scoring morphological characteristics. However, the broad range of methods for interpreting developmental changes could lead to inconsistent translations across laboratories. A common method of assessment is needed so that proper interpretations can be formed from data being compared across studies. The present study describes the application of the Sholl analysis method to quantify mammary gland branching characteristics. The Sholl method was originally developed for use in quantifying neuronal dendritic patterns. By using ImageJ, an open-source image analysis software package, and a plugin developed for this analysis, the mammary gland branching density and the complexity of a mammary gland from a peripubertal female rat were determined. The methods described here will enable the use of the Sholl analysis as an effective tool for quantifying an important characteristic of mammary gland development.
越来越多的研究将啮齿动物的乳腺作为评估化学物质暴露发育毒性的一个终点。这些暴露对乳腺发育的影响通常使用基本的尺寸测量或通过对形态特征进行评分来评估。然而,用于解释发育变化的方法种类繁多,可能导致不同实验室之间的翻译不一致。需要一种通用的评估方法,以便能够根据跨研究比较的数据形成恰当的解释。本研究描述了应用肖尔分析方法来量化乳腺分支特征。肖尔方法最初是为量化神经元树突模式而开发的。通过使用开源图像分析软件包ImageJ以及为此分析开发的一个插件,确定了青春期前雌性大鼠乳腺的分支密度和复杂性。这里描述的方法将使肖尔分析能够作为一种有效工具,用于量化乳腺发育的一个重要特征。