首页> 外文期刊>Journal of Pharmaceutical Analysis >High-throughput transcriptional profiling of perturbations by Panax ginseng saponins and Panax notoginseng saponins using TCM-seq
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High-throughput transcriptional profiling of perturbations by Panax ginseng saponins and Panax notoginseng saponins using TCM-seq

机译:使用 TCM-seq 对人参皂苷和三参皂苷的扰动进行高通量转录分析

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摘要

Panax ginseng (PG) and Panax notoginseng (PN) are highly valuable Chinese medicines (CM). Although both CMs have similar active constituents, their clinical applications are clearly different. Over the past decade, RNA sequencing (RNA-seq) analysis has been employed to investigate the molecular mechanisms of extracts or monomers. However, owing to the limited number of samples in standard RNA-seq, few studies have systematically compared the effects of PG and PN spanning multiple conditions at the transcriptomic level. Here, we developed an approach that simultaneously profiles transcriptome changes for multiplexed samples using RNA-seq (TCM-seq), a high-throughput, low-cost workflow to molecularly evaluate CM perturbations. A species-mixing experiment was conducted to illustrate the accuracy of sample multiplexing in TCM-seq. Transcriptomes from repeated samples were used to verify the robustness of TCM-seq. We then focused on the primary active components, Panax notoginseng saponins (PNS) and Panax ginseng saponins (PGS) extracted from PN and PG, respectively. We also characterized the transcriptome changes of 10 cell lines, treated with four different doses of PNS and PGS, using TCM-seq to compare the differences in their perturbing effects on genes, functional pathways, gene modules, and molecular networks. The results of transcriptional data analysis showed that the transcriptional patterns of various cell lines were significantly distinct. PGS exhibited a stronger regulatory effect on genes involved in cardiovascular disease, whereas PNS resulted in a greater coagulation effect on vascular endothelial cells. This study proposes a paradigm to comprehensively explore the differences in mechanisms of action between CMs based on transcriptome readouts.
机译:人参(PG)和人参(PN)是非常有价值的中药(CM)。尽管两种CM具有相似的活性成分,但它们的临床应用明显不同。在过去的十年中,RNA测序(RNA-seq)分析已被用于研究提取物或单体的分子机制。然而,由于标准RNA-seq中的样本数量有限,很少有研究在转录组学水平上系统地比较PG和PN在多种条件下的影响。在这里,我们开发了一种使用 RNA-seq (TCM-seq) 同时分析多重样品转录组变化的方法,这是一种高通量、低成本的工作流程,用于分子评估 CM 扰动。通过物种混合实验验证了TCM-seq中样品多重检测的准确性。利用重复样本的转录组验证TCM-seq的稳健性。然后,我们重点研究了主要活性成分,分别从PN和PG中提取的三七皂苷(PNS)和人参皂苷(PGS)。我们还表征了用四种不同剂量的 PNS 和 PGS 处理的 10 种细胞系的转录组变化,使用 TCM-seq 比较它们对基因、功能通路、基因模块和分子网络的扰动作用的差异。转录数据分析结果表明,不同细胞系的转录模式存在显著差异。PGS对心血管疾病相关基因表现出更强的调控作用,而PNS对血管内皮细胞的凝血作用更大。本研究提出了一种基于转录组读数的综合探讨CMs作用机制差异的范式。

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