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

机译:筛选雌激素受体调节剂在纸乳腺癌模型中

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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)调制器相关的健康风险导致了一致努力识别和优先考虑环境中存在的潜在破坏者。 ER激动剂和拮抗剂与终点测定鉴定,定量在暴露时表达(ER +)细胞的雌激素受体α的单层中细胞增殖或基因转移的变化。虽然可以以高度相行的方式制备,给药和分析这些单层培养物,但它们无法准确地预测体内ER调节剂的效力。生理相关的模型系统,更好地预测组织或器官级响应。为了解决这种需求,我们在此描述了一种筛选平台,能够在96个化学隔离的3D培养物中定量评估ER调节剂。这些培养物在蜡像纸脚手架中负载,其设计具有改进的性能和吞吐量超过先前描述的基于纸张的设置。为了突出基于纸质筛网的培养物的潜力,我们测量了已知的ER调节剂与基于荧光素酶的报告测定的效力。我们还量化了雌二醇存在下两种ER +细胞系的增殖和侵袭。尽管目前的设置能够更好地预测ER调节剂的体内疗效,但结果表明了该平台的潜力,以支持对环境化学风险评估的日益复杂和生理相关的组织状结构。

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  • 来源
    《Analytical chemistry》 |2018年第20期|共8页
  • 作者单位

    Univ N Carolina Dept Chem Kenan &

    Caudill Labs 125 South Rd Chapel Hill NC 27599 USA;

    Univ N Carolina Dept Chem Kenan &

    Caudill Labs 125 South Rd Chapel Hill NC 27599 USA;

    Univ N Carolina Dept Chem Kenan &

    Caudill Labs 125 South Rd Chapel Hill NC 27599 USA;

    Univ N Carolina Dept Chem Kenan &

    Caudill Labs 125 South Rd Chapel Hill NC 27599 USA;

    Univ N Carolina Dept Chem Kenan &

    Caudill Labs 125 South Rd Chapel Hill NC 27599 USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 分析化学;
  • 关键词

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