High-defined quantitative snapshots of the ganglioside lipidome using high resolution ion mobility SLIM assisted shotgun lipidomics
Kelly L Wormwood Moser, Gregory Van Aken, Daniel DeBord, Nathan Galen Hatcher, Laura Maxon, Melissa Sherman, Lihang Yao, Kim Ekroos
Characterization of sub-lipidomes has typically relied on liquid chromatography-mass spectrometry-based (LCMS) approaches, but such assays are challenging and resource intensive due to the close structural heterogeneity, the presence of isobaric and isomeric species, and broad dynamic range of endogenous glycosphingolipids. The paper explores how MOBILion's SLIM-based HRIM-MS (High resolution ion mobility mass spectrometry) enables rapid, repeatable, quantitative assays to provide deep structural information, sufficient to resolve endogenous brain gangliosides at the level of individual molecular species.
The paper, published in Analytical Chemistry concludes:
- MOBILion's SLIM assisted shotgun lipidomics approach proves to be extremely reproducible and robust and offers sensitivity and linearity ranges reaching beyond limits previously described for LC-MS methodologies.
- Analyses performed using MOBILion's SLIM-MS instrument equipped with a 13-m serpentine path enabled resolution of closely related isomeric analytes such as GD1a d36:1 and GD1b d36:1 based on recorded mass-to-charge (m/z) and arrival times.
- Brain extracts derived from wild-type mice hemi-brains were analyzed by MOBILion's SLIM based HRIM-MS using flow injection analyses (FIA) without the need for additional separation by liquid chromatography.
- MOBILion's SLIM-MS platform enabled analysis times that are markedly faster than methods requiring LC separation thus improving throughput over LC-MS ganglioside assays by more than fifteen-fold, making this methodology highly attractive for large-scale measurements and the clinical landscape that is adaptable according to the ongoing standardization effort
Anal Chim Acta. 2021 Feb 15;1146:77-87. doi: 10.1016/j.aca.2020.12.022. Epub 2020 Dec 16.