质谱法
分析物
串联质谱法
化学
色谱法
选择性反应监测
碎片(计算)
分析化学(期刊)
计算机科学
操作系统
作者
Samuel Bernardo‐Bermejo,Jingchuan Xue,Linh Hoang,Elizabeth Billings,Bill Webb,M. Willy Honders,Sanne Venneker,Bram Heijs,María Castro‐Puyana,Marı́a Luisa Marina,Erik B. van den Akker,Marieke Griffioen,Gary Siuzdak,Martin Giera,Elena Sánchez‐López
出处
期刊:Nature Protocols
[Springer Nature]
日期:2023-02-08
卷期号:18 (4): 1296-1315
被引量:8
标识
DOI:10.1038/s41596-023-00803-0
摘要
Analytical techniques with high sensitivity and selectivity are essential to the quantitative analysis of clinical samples. Liquid chromatography coupled to tandem mass spectrometry is the gold standard in clinical chemistry. However, tandem mass spectrometers come at high capital expenditure and maintenance costs. We recently showed that it is possible to generate very similar results using a much simpler single mass spectrometry detector by performing enhanced in-source fragmentation/annotation (EISA) combined with correlated ion monitoring. Here we provide a step-by-step protocol for optimizing the analytical conditions for EISA, so anyone properly trained in liquid chromatography–mass spectrometry can follow and apply this technique for any given analyte. We exemplify the approach by using 2-hydroxyglutarate (2-HG) which is a clinically relevant metabolite whose d-enantiomer is considered an 'oncometabolite', characteristic of cancers associated with mutated isocitrate dehydrogenases 1 or 2 (IDH1/2). We include procedures for determining quantitative robustness, and show results of these relating to the analysis of dl-2-hydroxyglutarate in cells, as well as in serum samples from patients with acute myeloid leukemia that contain the IDH1/2 mutation. This EISA–mass spectrometry protocol is a broadly applicable and low-cost approach for the quantification of small molecules that has been developed to work well for both single-quadrupole and time-of-flight mass analyzers. The tandem mass spectrometers used in clinical chemistry are expensive. This protocol describes how to generate similar results using a single mass spectrometry detector by optimizing in-source fragmentation and data analysis via correlated ion monitoring.
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