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Kinetic Cellular Phenotypic Profiling: Prediction, Identification, and Analysis of Bioactive Natural Products

机译:动力学细胞表型分析:生物活性天然产物的预测,鉴定和分析。

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Natural products have always been a major source of therapeutic agents; however, the development of traditional herbal products has been currently hampered by the lack of analytic methods suitable for both high-throughput screening and evaluating the mechanism of action. Cellular processes such as proliferation, apoptosis, and toxicity are well-orchestrated in real time. Monitoring these events and their perturbation by natural products can provide high-rich information about cell physiological relevancies being involved. Here, we report a novel cell-based phenotypic profiling strategy that uses electronic impedance readouts for real-time monitoring of cellular responses to traditional Chinese medicines (TCMs). The utility of this approach was used to screen natural herbs that have been historically documented to cure human diseases and that have been classified into seven clusters based on their mechanisms of action. The results suggest that herbal medicines with similar cellular mechanisms produce similar time/dose-dependent cell response profiles (TCRPs). By comparing the TCRPs produced by the Chinese medicinal Cordyceps sinensis with similar TCRPs of chemical compounds, we explored the potential use of herbal TCRPs for predicting cellular mechanisms of action, herbal authentications, and bioactive identification. Additionally, we further compared this novel TCRP technology with high-performance liquid chromatography (HPLC)-based methods for herbal origin-tracing authentication and identification of bioactive ingredients. Together, our findings suggest that using TCRP as an alternative to existing spectroscopic techniques can allow us to analyze natural products in a more convenient and physiologically relevant manner.
机译:天然产物一直是治疗剂的主要来源。然而,由于缺乏适用于高通量筛选和评估作用机理的分析方法,传统草药产品的开发目前受到阻碍。诸如增殖,凋亡和毒性之类的细胞过程是实时精心策划的。监视这些事件及其对天然产物的干扰可以提供有关所涉及的细胞生理学潜能的高度丰富的信息。在这里,我们报告了一种新颖的基于细胞的表型分析策略,该策略使用电子阻抗读数实时监测细胞对中药(TCM)的反应。这种方法的效用被用于筛选天然草药,这些天然草药在历史上已被证明可以治愈人类疾病,并且根据它们的作用机理分为七个类。结果表明具有相似细胞机制的草药产生相似的时间/剂量依赖性细胞反应谱(TCRP)。通过比较中药冬虫夏草产生的TCRP和类似化合物的TCRP,我们探索了草药TCRP在预测细胞作用机制,草药鉴定和生物活性鉴定方面的潜在用途。此外,我们还将该新型TCRP技术与基于高效液相色谱(HPLC)的草药来源溯源认证和生物活性成分鉴定方法进行了比较。总之,我们的发现表明,使用TCRP替代现有的光谱技术可以使我们以更方便且生理相关的方式分析天然产物。

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