IDSL.CSA:复合光谱分析用于非目标代谢学数据集的化学注释
Sadjad Fakouri Baygi1, Yashwant Kumar2, Dinesh Kumar Barupal1
1Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States.
Analytical chemistry
|June 13, 2023
概括
新的软件IDSL.CSA改进了使用MS1数据对非目标代谢组的化学注释. 这促进了高分辨率质谱分析的进步,使得没有MS2碎片化光谱的更广泛的生物发现成为可能.
科学领域:
- 代谢学 代谢学 代谢学
- 质谱测量质量谱测量
- 生物信息学是一种生物信息学.
背景情况:
- 非定位代谢学依赖于准确的化学注释,这往往是由MS2碎片化数据的可用性所限制的.
- 高分辨率质谱 (HRMS) 与液态色谱 (LC) 结合生成了庞大的数据集,但由于注释不佳,它们的全部潜力受到阻碍.
- 当MS2光谱无法使用时,现有的方法难以注释代谢物,这限制了数据的应用.
研究的目的:
- 引入一个新的R包,IDSL.CSA (代谢学和显相学综合数据科学实验室――复合光谱分析),用于增强HRMS数据的化学注释.
- 为了能够从MS1数据中进行稳健的代谢物识别,克服对MS2碎片化光谱的依赖.
- 证明IDSL.CSA用于分析来自各种LC或GC-HRMS仪器的非目标代谢学数据集的实用性.
主要方法:
- 开发IDSL.CSA R包,从MS1数据中生成和搜索复合质谱库.
- 使用MS1光谱数据创建用于化学注释的全面光谱库.
- 通过将其注释率与使用人类血液样本的传统MS/MS图书馆进行比较,验证IDSL.CSA性能.
主要成果:
- IDSL.CSA在人类血液样本中的内源代谢物的注释率与MS/MS图书馆相比较.
- 该软件成功地从各种非目标代谢学数据集中生成和搜索复合光谱库.
- 在不同的高分辨率质谱平台以及液体或气体色谱学中证明了有效性.
结论:
- IDSL.CSA显著提高了非目标代谢学化学注释能力,特别是在没有MS2数据的情况下.
- IDSL.CSA库在独立研究中的交叉适用性促进了新的生物学见解.
- 该工具扩大了现有的代谢学数据集的实用性,并促进了更广泛的科学发现.
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