posted on 2024-03-25, 05:03authored byRaobo Xu, Huan Liu, Fang Yuan, Seongho Kim, Irina Kirpich, Craig J. McClain, Xiang Zhang
Lipids play a significant role in life activities and
participate in the biological system through different pathways. Although
comprehensive two-dimensional liquid chromatography–mass spectrometry
(2DLC-MS) has been developed to profile lipid abundance changes, lipid
identification and quantification from 2DLC-MS data remain a challenge.
We created <i>Lipid Wizard</i>, open-source software for
lipid assignment and isotopic peak stripping of the 2DLC-MS data. <i>Lipid Wizard</i> takes the peak list deconvoluted from the 2DLC-MS
data as input and assigns each isotopic peak to the lipids recorded
in the LIPID MAPS database by precursor ion <i>m</i>/<i>z</i> matching. The matched lipids are then filtered by the
first-dimension retention time (<sup>1</sup>D RT), followed by the
second-dimension retention time (<sup>2</sup>D RT), where the <sup>2</sup>D RT of each lipid is predicted using an equivalent carbon
number (ECN) model. The remaining assigned lipids are used for isotopic
peak stripping via an iterative linear regression. The performance
of <i>Lipid Wizard</i> was tested using a set of lipid standards
and then applied to study the lipid changes in the livers of mice
(<i>fat</i>-<i>1</i>) fed with alcohol.