对不定位的体外代谢物 (vitro metabolomics) 的受欢迎丰富方法进行比较
Yannik Schermer1, Frederic Wagner1, Simone Stegmüller1
1Department of Chemistry, RPTU University Kaiserslautern-Landau, Kaiserslautern, Germany.
概括
Mummichog在分析来自体外研究的非目标代谢学数据方面表现出卓越的表现. 与代谢物集合丰富分析和过度表示分析相比,这种方法显示出更好的一致性和正确性.
科学领域:
- *代谢学和系统生物学
- * 毒理学和药理学
- * 生物信息学和数据分析
背景情况:
- * 未定位的代谢学产生复杂的数据集,需要复杂的分析来进行功能解释.
- *丰富分析对于解释代谢学数据至关重要,但对方法选择的指导是有限的.
- * 缺乏用于体外毒理学和药理学数据的流行的丰富方法的比较分析.
研究的目的:
- * 为了比较三种流行的丰富分析方法的性能:代谢物集丰富分析 (MSEA),Mummichog和过度表示分析 (ORA).
- *使用体外代谢学数据评估这些方法的一致性和正确性.
- * 确定最合适的缩分析方法用于毒理和药理测试.
主要方法:
- * Hep-G2 细胞用 11 种化合物在亚毒度下进行治疗.
- *使用UHPLC-timsTOF Pro进行了代谢分析,使用MetaboScape处理和注释数据.
- * 用R和MetaboAnalyst软件进行了丰富分析.
主要成果:
- *在不同缩分析方法之间观察到低到中等的相似性.
- *代谢物丰度分析 (MSEA) 和Mummichog显示了最高的相似性.
- *与MSEA和过度表示分析 (ORA) 相比,Mummichog表现出更高的一致性和正确性.
结论:
- *Mummichog是用于在体外非向代谢学数据的丰富分析的推方法.
- *这项研究为毒理学和药理学研究人员提供了宝贵的见解,帮助他们选择适当的数据分析工具.
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