Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, 200032, Shanghai, People's Republic of China.
University of Chinese Academy of Sciences, 100049, Beijing, People's Republic of China.
Nat Commun. 2020 Aug 28;11(1):4334. doi: 10.1038/s41467-020-18171-8.
The metabolome includes not just known but also unknown metabolites; however, metabolite annotation remains the bottleneck in untargeted metabolomics. Ion mobility - mass spectrometry (IM-MS) has emerged as a promising technology by providing multi-dimensional characterizations of metabolites. Here, we curate an ion mobility CCS atlas, namely AllCCS, and develop an integrated strategy for metabolite annotation using known or unknown chemical structures. The AllCCS atlas covers vast chemical structures with >5000 experimental CCS records and ~12 million calculated CCS values for >1.6 million small molecules. We demonstrate the high accuracy and wide applicability of AllCCS with medium relative errors of 0.5-2% for a broad spectrum of small molecules. AllCCS combined with in silico MS/MS spectra facilitates multi-dimensional match and substantially improves the accuracy and coverage of both known and unknown metabolite annotation from biological samples. Together, AllCCS is a versatile resource that enables confident metabolite annotation, revealing comprehensive chemical and metabolic insights towards biological processes.
代谢组学不仅包括已知代谢物,还包括未知代谢物;然而,代谢物注释仍然是无靶标代谢组学的瓶颈。离子淌度-质谱(IM-MS)通过提供代谢物的多维特征,已成为一种很有前途的技术。在这里,我们创建了一个离子淌度 CCS 图谱,即 AllCCS,并开发了一种使用已知或未知化学结构进行代谢物注释的综合策略。AllCCS 图谱涵盖了广泛的化学结构,包含 >5000 个实验 CCS 记录和 >1200 万个小分子的约 1200 万个计算 CCS 值。我们用中等相对误差为 0.5-2%的方法,对广泛的小分子进行了验证,证明了 AllCCS 的高精度和广泛适用性。AllCCS 与计算的 MS/MS 谱相结合,可实现多维匹配,并大大提高了从生物样本中进行已知和未知代谢物注释的准确性和覆盖度。总之,AllCCS 是一个多功能资源,可实现代谢物注释的信心,揭示了对生物过程的全面化学和代谢见解。