Discriminating precursors of common fragments for large-scale metabolite profiling by triple quadrupole mass spectrometry
Author(s) -
Igor Nikolskiy,
Gary Siuzdak,
Gary J. Patti
Publication year - 2015
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btv085
Subject(s) - metabolite , triple quadrupole mass spectrometer , fragmentation (computing) , mass spectrometry , profiling (computer programming) , chemistry , computer science , selected reaction monitoring , biological system , chromatography , computational biology , tandem mass spectrometry , biology , biochemistry , operating system
The goal of large-scale metabolite profiling is to compare the relative concentrations of as many metabolites extracted from biological samples as possible. This is typically accomplished by measuring the abundances of thousands of ions with high-resolution and high mass accuracy mass spectrometers. Although the data from these instruments provide a comprehensive fingerprint of each sample, identifying the structures of the thousands of detected ions is still challenging and time intensive. An alternative, less-comprehensive approach is to use triple quadrupole (QqQ) mass spectrometry to analyze predetermined sets of metabolites (typically fewer than several hundred). This is done using authentic standards to develop QqQ experiments that specifically detect only the targeted metabolites, with the advantage that the need for ion identification after profiling is eliminated.
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