首页> 美国卫生研究院文献>Journal of Visualized Experiments : JoVE >Detecting Estrogenic Ligands in Personal Care Products using a Yeast Estrogen Screen Optimized for the Undergraduate Teaching Laboratory
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Detecting Estrogenic Ligands in Personal Care Products using a Yeast Estrogen Screen Optimized for the Undergraduate Teaching Laboratory

机译:使用针对本科教学实验室而优化的酵母雌激素筛查法检测个人护理产品中的雌激素配体

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摘要

The Yeast Estrogen Screen (YES) is used to detect estrogenic ligands in environmental samples and has been broadly applied in studies of endocrine disruption. Estrogenic ligands include both natural and manmade "Environmental Estrogens" (EEs) found in many consumer goods including Personal Care Products (PCPs), plastics, pesticides, and foods. EEs disrupt hormone signaling in humans and other animals, potentially reducing fertility and increasing disease risk. Despite the importance of EEs and other Endocrine Disrupting Chemicals (EDCs) to public health, endocrine disruption is not typically included in undergraduate curricula. This shortcoming is partly due to a lack of relevant laboratory activities that illustrate the principles involved while also being accessible to undergraduate students. This article presents an optimized YES for quantifying ligands in personal care products that bind estrogen receptors alpha (ERα) and/or beta (ERβ). The method incorporates one of the two colorimetric substrates (ortho-nitrophenyl-β-D-galactopyranoside (ONPG) or chlorophenol red-β-D-galactopyranoside (CPRG)) that are cleaved by β-galactosidase, a 6-day refrigerated incubation step to facilitate use in undergraduate laboratory courses, an automated application for LacZ calculations, and R code for the associated 4-parameter logistic regression analysis. The protocol has been designed to allow undergraduate students to develop and conduct experiments in which they screen products of their choosing for estrogen mimics. In the process, they learn about endocrine disruption, cell culture, receptor binding, enzyme activity, genetic engineering, statistics, and experimental design. Simultaneously, they also practice fundamental and broadly applicable laboratory skills, such as: calculating concentrations; making solutions; demonstrating sterile technique; serially diluting standards; constructing and interpolating standard curves; identifying variables and controls; collecting, organizing, and analyzing data; constructing and interpreting graphs; and using common laboratory equipment such as micropipettors and spectrophotometers. Thus, implementing this assay encourages students to engage in inquiry-based learning while exploring emerging issues in environmental science and health.
机译:酵母雌激素筛选(YES)用于检测环境样品中的雌激素配体,已广泛用于内分泌干扰研究。雌激素配体包括在许多消费品中发现的天然和人造“环境雌激素”(EEs),包括个人护理产品(PCP),塑料,农药和食品。 EEs破坏人类和其他动物体内的激素信号传导,可能降低生育能力并增加疾病风险。尽管EE和其他内分泌干扰化学物质(EDC)对公共卫生很重要,但本科课程通常不包括内分泌干扰物质。这种缺点部分是由于缺乏相关的实验室活动,这些活动无法说明所涉及的原理,同时也为本科生所用。本文提出了一种优化的“是”,用于定量结合雌激素受体α(ERα)和/或β(ERβ)的个人护理产品中的配体。该方法结合了两种比色底物之一(邻硝基苯基-β-D-半乳糖吡喃糖苷(ONPG)或氯酚红-β-D-半乳糖吡喃糖苷(CPRG)),该底物经过6天的冷藏孵育步骤裂解为便于在本科生实验课程中使用,自动进行LacZ计算,并为相关的4参数逻辑回归分析提供R代码。该协议旨在允许大学生开发和进行实验,以筛选所选择的产品以模拟雌激素。在此过程中,他们了解内分泌干扰,细胞培养,受体结合,酶活性,基因工程,统计学和实验设计。同时,他们还练习基本的和广泛适用的实验室技能,例如:计算浓度;制定解决方案;展示无菌技术;连续稀释标准;构造和内插标准曲线;确定变量和控制;收集,整理和分析数据;构造和解释图;并使用常见的实验室设备,例如微量移液器和分光光度计。因此,实施该检测方法鼓励学生从事探究式学习,同时探索环境科学和健康方面的新问题。

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