Malik Dania M, Rhoades Seth, Weljie Aalim
Pharmacology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Bio Protoc. 2018 Feb 5;8(3). doi: 10.21769/BioProtoc.2715.
Modern triple quadrupole mass spectrometers provide the ability to detect and quantify a large number of metabolites using tandem mass spectrometry (MS/MS). Liquid chromatography (LC) is advantageous, as it does not require derivatization procedures and a large diversity in physiochemical characteristics of analytes can be accommodated through a variety of column chemistries. Recently, the comprehensive optimization of LC-MS metabolomics using design of experiments (COLMeD) approach has been described and used by our group to develop robust LC-MS workflows (Rhoades and Weljie, 2016). The optimized LC-MS/MS method described here has been utilized extensively for metabolomics analysis of polar metabolites. Typically, tissue or biofluid samples are extracted using a modified Bligh-Dyer protocol (Bligh and Dyer, 1959; Tambellini ., 2013). The protocol described herein describes this workflow using targeted polar metabolite multiple reaction monitoring (MRM) from tissues and biofluids via ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). This workflow has been utilized extensively for chronometabolic analysis (Krishnaiah ., 2017), with applications generalized to other types of analyses as well (Sengupta ., 2017; Sivanand ., 2017).
现代三重四极杆质谱仪能够利用串联质谱法(MS/MS)检测和定量大量代谢物。液相色谱(LC)具有优势,因为它不需要衍生化程序,并且通过各种柱化学方法可以适应分析物在物理化学特性上的巨大差异。最近,我们小组描述并使用了实验设计(COLMeD)方法对LC-MS代谢组学进行全面优化,以开发稳健的LC-MS工作流程(Rhoades和Weljie,2016)。这里描述的优化后的LC-MS/MS方法已广泛用于极性代谢物的代谢组学分析。通常,使用改良的布莱-戴尔协议(Bligh和Dyer,1959;Tambellini等,2013)提取组织或生物流体样品。本文所述的方案描述了通过超高效液相色谱-串联质谱法(UPLC-MS/MS)对组织和生物流体中的靶向极性代谢物进行多反应监测(MRM)的工作流程。该工作流程已广泛用于计时代谢分析(Krishnaiah等,2017),其应用也已推广到其他类型的分析(Sengupta等,2017;Sivanand等,2017)。