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High-throughput transcriptional profiling of perturbations by Panax ginseng saponins and Panax notoginseng saponins using TCM-seq

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 sa-ponins(PNS)and Panax ginseng saponins(PGS)extracted from PN and PG,respectively.We also char-acterized 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 tran-scriptional 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.

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作者 Junyun Cheng [1] Jie Chen [1] Jie Liao [2] Tianhao Wang [1] Xin Shao [2] Jinbo Long [1] Penghui Yang [1] Anyao Li [1] Zheng Wang [3] Xiaoyan Lu [4] Xiaohui Fan [5] 学术成果认领
作者单位 Pharmaceutical Informatics Institute,College of Pharmaceutical Sciences,Zhejiang University,Hangzhou,310058,China [1] Pharmaceutical Informatics Institute,College of Pharmaceutical Sciences,Zhejiang University,Hangzhou,310058,China;Future Health Laboratory,Innovation Center of Yangtze River Delta,Zhejiang University,Jiaxing,Zhejiang,314100,China [2] State Key Laboratory of Medical Molecular Biology,Department of Biochemistry and Molecular Biology,Institute of Basic Medical Sciences,Chinese Academy of Medical Sciences and Peking Union Medical College,Beijing,100005,China [3] Pharmaceutical Informatics Institute,College of Pharmaceutical Sciences,Zhejiang University,Hangzhou,310058,China;Innovation Center in Zhejiang University,State Key Laboratory of Component-Based Chinese Medicine,Hangzhou,310058,China;Jinhua Institute of Zhejiang University,Jinhua,Zhejiang,321016,China [4] Pharmaceutical Informatics Institute,College of Pharmaceutical Sciences,Zhejiang University,Hangzhou,310058,China;Future Health Laboratory,Innovation Center of Yangtze River Delta,Zhejiang University,Jiaxing,Zhejiang,314100,China;Innovation Center in Zhejiang University,State Key Laboratory of Component-Based Chinese Medicine,Hangzhou,310058,China;Jinhua Institute of Zhejiang University,Jinhua,Zhejiang,321016,China [5]
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发布时间 2023-06-30(万方平台首次上网日期,不代表论文的发表时间)
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药物分析学报(英文版)

药物分析学报(英文版)

2023年13卷4期

376-387页

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