在Pheretima中通过整合蛋白质基因组学和无标签的基因组学来表征天然
Xiaoxiao Luo1,2, Qirui Bi2, Dongdong Huang2,3
1School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
Journal of pharmaceutical analysis
|October 16, 2023
概括
这项研究开发了一种基于的新策略,用于在传统中医药中验证Pheretima (地) 种类的真实性. 该方法成功地在商业产品中识别了特定的Pheretima物种,确保了质量控制.
科学领域:
- 药理学和中国传统医学
- 蛋白质组学和生物信息学
- 动物学认证 动物学认证
背景情况:
- 菲雷蒂马 (地) 是50多种中国专利药物 (CPM) 的重要组成部分.
- 在草药市场和CPM中使用的Pheretima的精确动物起源仍然模糊.
- 精确的物种识别对于传统药物的质量控制和治疗效果至关重要.
研究的目的:
- 开发和验证一种综合策略,以表征主要商业Pheretima物种的天然.
- 为了识别用于验证Pheretima aspergillum (PA),Pheretima vulgaris (PV) 和Metaphire magna (MM) 的真实性的特定标记.
- 在商业CPM中应用标记来验证Pheretima的动物起源.
主要方法:
- 综合生物信息战略,结合内部蛋白质数据库和多个测序算法 (受限,开放, de novo).
- 分析RNA测序数据以描述PA,PV和MM的天然.
- 使用合成分析对特定特征的选和验证.
主要成果:
- 在PA中识别了10,477种天然,在PV中7451种,在MM中5896种.
- 成功选和验证了五种特定的签名用于PA,PV和MM认证.
- 在商业CPM (脑心囊,小华丸) 中显示不一致的Pheretima物种使用.
结论:
- 基于的综合策略提供了Pheretima物种的强有力的认证.
- 这种方法确保了动物衍生传统中医药的质量和一致性.
- 该方法适用于其他非模型动物衍生传统药物,基因组数据有限.
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