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Updated: Dec 24, 2025

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A Strategy for Sensitive, Large Scale Quantitative Metabolomics
Published on: May 27, 2014
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在新陈代谢时代的化学发现
Miriam Sindelar1,2, Gary J Patti1,2,3
1Department of Chemistry, Washington University in St. Louis, St. Louis, Missouri 63130, United States.
Journal of the American Chemical Society
|April 11, 2020
概括
没有目标的代谢学与化合物识别作斗争. 许多未分配的信号可能来自数据工件,而不是新代谢物,影响化学发现.
科学领域:
- 代谢学
- 分析化学
- 生物化学
背景情况:
- 非目标代谢学寻求使用液体染色学/质谱学 (LC/MS) 等技术进行全面的代谢物分析.
- 化合物识别仍然是非目标代谢学工作流程中的一个重要瓶.
- 尽管有大量的光谱数据库,但LC/MS数据集中的许多信号缺乏可靠的结构赋值.
研究的目的:
- 调查非目标代谢组中持续低的化合物鉴定率背后的原因.
- 评估新型化合物对未指定的信号的贡献.
主要方法:
- 关于非目标代谢学当前挑战和文献的审查.
- 在LC/MS数据中分析不可识别信号的潜在来源.
主要成果:
- 虽然新型代谢物有所贡献,但大量未分配的信号可能来自信息工件,化学污染物和信号冗余.
- 有证据表明,这些非代谢源在某些样本类型中具有重要意义.
结论:
- 由于数据伪造,非目标代谢组的大量不可识别的信号可能被高估.
- 重新评估未分配信号的来源对于准确的化学发现和代谢数据的解释至关重要.
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