An array-based nanosensor for detecting cellular responses in macrophages induced by femtomolar levels of pesticides.

An array-based nanosensor for detecting cellular responses in macrophages induced by femtomolar levels of pesticides.
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一种基于阵列的纳米传感器,用于检测飞摩尔水平农药诱导的巨噬细胞的细胞反应。

DOI:
10.1039/d1cc07100a
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发表时间:
2022-02-24
期刊:
Chemical communications (Cambridge, England)
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环境因子可以在远低于当前活力和基于生物标志物的细胞传感平台的检测限的浓度下诱导细胞应答。无假设的细胞传感器平台可以被设计成最大化对表型变化的灵敏度,从而提供用于降低检测细胞变化的阈值的工具。由于农药在食品和农业领域的使用,农药是最普遍的化学品接触源之一。我们在这里报告的FRET为基础的纳米传感器阵列工程,以最大限度地响应农药暴露后细胞表面的变化。该传感器阵列稳健地检测了巨噬细胞对飞摩尔浓度的常见农药的反应-比传统的毒理学和基于生物标志物的策略低几个数量级的浓度。值得注意的是,该平台能够按农药类别对这些反应进行分类,证明了区分这些不同药剂引起的变化的能力。总之,无假设的细胞表面传感是一个很有前途的工具,用于检测超痕量环境化学品对人类健康的影响,以及检测用于药物发现和诊断的阈值响应。
Environmental agents can induce cellular responses at concentrations far below the limits of detection for current viability and biomarker-based cell sensing platforms. Hypothesis-free cell sensor platforms can be engineered to maximize sensitivity to phenotypic changes, providing a tool for lowering the threshold for detecting cellular changes. Pesticides are one of the most prevalent sources for chemical exposure due to their use in food and agriculture fields. We report here a FRET-based nanosensor array engineered to maximize responses to changes at cell surfaces after pesticide exposure. This sensor array robustly detected macrophage responses to femtomolar concentrations of common pesticides--orders of magnitude lower concentrations than traditional toxicological and biomarker-based strategies. Significantly, this platform was able to classify these responses by pesticide class, demonstrating the ability to distinguish between changes induced by these different agents. Taken together, hypothesis-free cell surface sensing is a promising tool for detecting the effects of ultra-trace environmental chemicals on human health, as well as detecting threshold responses for use in drug discovery and diagnostics.
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