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多维转录基因组数据集用于系统评估由Jakyakgamcho-tang诱导的细胞特征
Su-Jin Baek1, Haeseung Lee2, Sang-Min Park3
1Korean Medicine (KM) Data Division, Korea Institute of Oriental Medicine, Daejeon, 34054, Republic of Korea.
Scientific data
|February 6, 2026
概括
传统草药Jakyakgamcho-tang (JGT) 的作用通过基因表达分析进行了研究. 这项研究为优化草药制备和了解其对细胞反应的影响提供了基础.
科学领域:
- 草药是一种草药.
- 药理学 药理学是指药理学的学科.
- 基因组学就是基因组学.
- 文字转录学 (Transcriptomics) 是一个学科.
背景情况:
- 贾克雅加姆乔唐 (JGT) 是一种简单的草药配方,由Paeoniae Radix (PR) 和Glycyrrhizae Radix et Rhizoma (GR) 组成.
- 传统上,JGT用于与肌肉相关的疾病和炎症,但它的有效性可能会受到成分比例和制备方法的影响.
- 现有的研究缺乏全面的基因表达数据集,以系统地评估这些制备变量.
研究的目的:
- 在不同的制备条件下生成Jakyakgamcho-tang (JGT) 的综合基因表达数据集.
- 为了实现多维分析JGT准备因素如何影响细胞转录基因反应.
- 为科学优化传统草药配方提供基础.
主要方法:
- 通过RNA-seq在三个度和三个复制物中生成了513个转录组概况.
- 研究了PR对GR比率 (2:1, 1:1, 1:2),溶剂 (水,70%乙醇) 和提取方法 (组合,单独) 的影响.
- 利用HepG2,C2C12和PC12细胞系进行转录基因分析.
主要成果:
- 创建了513个转录组概况的结构化数据集,反映了各种JGT准备变量.
- 该数据集允许详细分析成分比率,溶剂和提取方法如何影响基因表达.
- 所有原始和预处理的数据,以及标准化的元数据,都通过GEO.公开提供.
结论:
- 这一数据集是了解JGT等传统草药配方的转录学效应的关键资源.
- 促进对优化草药制剂的科学研究,以提高疗效.
- 支持在传统医学研究中推进基于证据的方法.
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