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针对 102 种中药成分的基因表达谱:中药研究的通用模板。

The gene expression profiles in response to 102 traditional Chinese medicine (TCM) components: a general template for research on TCMs.

机构信息

School of Pharmacy, Second Military Medical University, Shanghai, 200433, P.R. China.

Shanghai Institute of Pharmaceutical Industry, China State Institute of Pharmaceutical Industry, Shanghai, 201203, P.R. China.

出版信息

Sci Rep. 2017 Mar 23;7(1):352. doi: 10.1038/s41598-017-00535-8.

Abstract

Traditional Chinese medicines (TCMs) have important therapeutic value in long-term clinical practice. However, because TCMs contain diverse ingredients and have complex effects on the human body, the molecular mechanisms of TCMs are poorly understood. In this work, we determined the gene expression profiles of cells in response to TCM components to investigate TCM activities at the molecular and cellular levels. MCF7 cells were separately treated with 102 different molecules from TCMs, and their gene expression profiles were compared with the Connectivity Map (CMAP). To demonstrate the reliability and utility of our approach, we used nitidine chloride (NC) from the root of Zanthoxylum nitidum, a topoisomerase I/II inhibitor and α-adrenoreceptor antagonist, as an example to study the molecular function of TCMs using CMAP data as references. We successfully applied this approach to the four ingredients in Danshen and analyzed the synergistic mechanism of TCM components. The results demonstrate that our newly generated TCM data and related methods are valuable in the analysis and discovery of the molecular actions of TCM components. This is the first work to establish gene expression profiles for the study of TCM components and serves as a template for general TCM research.

摘要

中药(TCM)在长期临床实践中具有重要的治疗价值。然而,由于 TCM 包含多种成分,对人体的影响也很复杂,因此 TCM 的分子机制尚不清楚。在这项工作中,我们确定了细胞对 TCM 成分的基因表达谱,以从分子和细胞水平研究 TCM 的作用。我们分别用来自 TCM 的 102 种不同的分子处理 MCF7 细胞,并将它们的基因表达谱与 Connectivity Map(CMAP)进行比较。为了证明我们方法的可靠性和实用性,我们以花椒中的有效成分荜茇宁(NC)为例,使用 CMAP 数据作为参考,研究 TCM 的分子功能。NC 是一种拓扑异构酶 I/II 抑制剂和 α-肾上腺素能受体拮抗剂。我们成功地将这种方法应用于丹参的四种成分,并分析了 TCM 成分的协同作用机制。结果表明,我们新生成的 TCM 数据和相关方法对于分析和发现 TCM 成分的分子作用具有重要价值。这是首次建立 TCM 成分研究的基因表达谱,为一般 TCM 研究提供了模板。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/544e/5428649/612b83f118c5/41598_2017_535_Fig1_HTML.jpg

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