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Screening Estrogen Receptor Modulators in a Paper-Based Breast Cancer Model

机译:在纸基乳腺癌模型中筛选雌激素受体调节剂

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摘要

The health risks associated with acute and prolonged exposure to estrogen receptor (ER) modulators has led to a concerted effort to identify and prioritize potential disruptors present in the environment. ER agonists and antagonists are identified with end-point assays, quantifying changes in cellular proliferation or gene transactivation in monolayers of estrogen receptor alpha expressing (ER+) cells upon exposure. While these monolayer cultures can be prepared, dosed, and analyzed in a highly parallelized manner, they are unable to predict the potencies of ER modulators in vivo accurately. Physiologically relevant model systems that better predict tissue- or organ-level responses are needed. To address this need, we describe here a screening platform capable of quantitatively assessing ER modulators in 96 chemically isolated 3D cultures. These cultures are supported in wax-patterned paper scaffolds whose design has improved performance and throughput over previously described paper-based setups. To highlight the potential of paper-based cultures for toxicity screens, we measured the potency of known ER modulators with a luciferase-based reporter assay. We also quantified the proliferation and invasion of two ER+ cell lines in the presence of estradiol. Despite the inability of the current setup to better predict in vivo potencies of ER modulators than monolayer cultures, the results demonstrate the potential of this platform to support increasingly complex and physiologically relevant tissue-like structures for environmental chemical risk assessment.
机译:与急性和长期暴露于雌激素受体(ER)调节剂有关的健康风险已导致人们共同努力,确定环境中存在的潜在干扰源并对其进行优先排序。 ER激动剂和拮抗剂可通过终点检测来确定,这些测定可量化暴露后雌激素受体α表达(ER +)细胞单层中细胞增殖或基因反式激活的变化。尽管可以高度并行的方式制备,定量和分析这些单层培养物,但它们无法准确预测体内ER调节剂的效力。需要能够更好地预测组织或器官水平反应的生理相关模型系统。为了满足这一需求,我们在此描述一种筛选平台,该平台能够定量评估96种化学分离的3D培养物中的ER调节剂。这些培养物支持蜡质图案的纸质支架,其设计比先前描述的基于纸张的设置具有更高的性能和产量。为了突出基于纸的培养物进行毒性筛选的潜力,我们使用基于荧光素酶的报告基因检测技术测量了已知的ER调节剂的效力。我们还定量了在雌二醇存在下两种ER +细胞系的增殖和侵袭。尽管当前的设置无法比单层培养更好地预测ER调节剂的体内效能,但结果表明该平台具有潜力,可以支持日益复杂和生理相关的组织样结构进行环境化学风险评估。

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