Shotgun Lipidomics by Sequential Precursor Ion Fragmentation on a Hybrid Quadrupole Time-of-Flight Mass Spectrometer

Metabolites

Brigitte Simons²  Dimple Kauhanen¹  Tuulia Sylvänne¹  Kirill Tarasov¹  Eva Duchoslav² 

[1]Zora Biosciences, Biologinkuja 1, Espoo, FI-2150, Finland

[2]AB SCIEX, 71 Four Valley Dr. Concord, ON L4K4V8, Canada

关键词: MS/MS^ALL;    lipidomics;    lipid;    QTOF;    mass spectrometry;   

DOI  :  10.3390/metabo2010195

来源: mdpi

【 摘 要 】

Shotgun lipidomics has evolved into a myriad of multi-dimensional strategies for molecular lipid characterization, including bioinformatics tools for mass spectrum interpretation and quantitative measurements to study systems-lipidomics in complex biological extracts. Taking advantage of spectral mass accuracy, scan speed and sensitivity of improved quadrupole linked time-of-flight mass analyzers, we developed a bias-free global lipid profiling acquisition technique of sequential precursor ion fragmentation called MS/MS^ALL. This generic information-independent tandem mass spectrometry (MS) technique consists of a Q1 stepped mass isolation window through a set mass range in small increments, fragmenting and recording all product ions and neutral losses. Through the accurate MS and MS/MS information, the molecular lipid species are resolved, including distinction of isobaric and isomeric species, and composed into more precise lipidomic outputs. The method demonstrates good reproducibility and at least 3 orders of dynamic quantification range for isomeric ceramides in human plasma. More than 400 molecular lipids in human plasma were uncovered and quantified in less than 12 min, including acquisitions in both positive and negative polarity modes. We anticipate that the performance of sequential precursor ion fragmentation both in quality and throughput will lead to the uncovering of new avenues throughout the biomedical research community, enhance biomarker discovery and provide novel information target discovery programs as it will prospectively shed new insight into affected metabolic and signaling pathways.

【 授权许可】

CC BY   
© 2012 by the authors; licensee MDPI, Basel, Switzerland.