RIKEN Plant Science Center, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama 230-0045, Japan.
Anal Chem. 2013 Feb 5;85(3):1310-5. doi: 10.1021/ac302733c. Epub 2013 Jan 17.
Phytochemicals containing heteroatoms (N, O, S, and halogens) often have biological activities that are beneficial to humans. Although targeted profiling methods for such phytochemicals are expected to contribute to rapid chemical assignments, thus making phytochemical genomics and crop breeding much more efficient, there are few profiling methods for the metabolites. Here, as an ultrahigh performance approach, we propose a practical profiling method for S-containing metabolites (S-omics) using onions (Allium cepa) as a representative species and (12)C- and (13)C-based mass spectrometry (MS) and tandem mass spectrometry (MS/MS) analyses by liquid chromatography-Fourier transform ion cyclotron resonance-mass spectrometry (LC-FTICR-MS). Use of the ultrahigh quality data from FTICR-MS enabled simplifying the previous methods to determine specific elemental compositions. MS analysis with a resolution of >250,000 full width at half-maximum and a mass accuracy of <1 ppm can distinguish S-containing monoisotopic ions from other ions on the basis of the natural abundance of (32)S and (34)S and the mass differences among the S isotopes. Comprehensive peak picking using the theoretical mass difference (1.99579 Da) between (32)S-containing monoisotopic ions and their (34)S-substituted counterparts led to the assignment of 67 S-containing monoisotopic ions from the (12)C-based MS spectra, which contained 4693 chromatographic ions. The unambiguous elemental composition of 22 ions was identified through comparative analysis of the (12)C- and (13)C-based MS spectra. Finally, of these, six ions were found to be derived from S-alk(en)ylcysteine sulfoxides and glutathione derivatives. This S-atom-driven approach afforded an efficient chemical assignment of S-containing metabolites, suggesting its potential application for screening not only S but also other heteroatom-containing metabolites in MS-based metabolomics.
含杂原子(N、O、S 和卤素)的植物化学物质通常具有有益于人类的生物活性。尽管针对此类植物化学物质的靶向分析方法有望促进快速的化学赋值,从而使植物化学基因组学和作物育种更加高效,但针对代谢物的分析方法却很少。在这里,我们提出了一种使用洋葱(Allium cepa)作为代表性物种,基于(12)C 和(13)C 的质量 spectrometry(MS)和串联 mass spectrometry(MS/MS)分析,通过液相色谱-傅里叶变换离子回旋共振质谱(LC-FTICR-MS)对含 S 代谢物进行分析的实用方法。使用 FTICR-MS 提供的超高质量数据,简化了以前用于确定特定元素组成的方法。分辨率>250,000 半峰全宽和质量精度<1 ppm 的 MS 分析可以根据(32)S 和(34)S 的自然丰度以及 S 同位素之间的质量差异,从其他离子中区分含 S 的单同位素离子。使用(32)S 单同位素离子与其(34)S 取代物之间的理论质量差异(1.99579 Da)进行全面的峰选择,导致从(12)C 基 MS 光谱中鉴定出 67 种含 S 的单同位素离子,其中包含 4693 个色谱峰。通过对(12)C 和(13)C 基 MS 光谱的比较分析,确定了 22 种离子的明确元素组成。最后,其中 6 种离子被鉴定为来自 S-烯丙基半胱氨酸亚砜和谷胱甘肽衍生物。这种基于 S 原子的方法实现了含 S 代谢物的有效化学赋值,表明其在基于 MS 的代谢组学中筛选不仅是 S 而且是其他含杂原子代谢物的潜在应用。