Journal article
FAIMS Shotgun Lipidomics for Enhanced Class- and Charge-State Separation Complemented by Automated Ganglioside Annotation
K Hohenwallner, LM Lamp, L Peng, M Nuske, J Hartler, GE Reid, E Rampler
Analytical Chemistry | Published : 2024
Open access
Abstract
The analysis of gangliosides is extremely challenging, given their structural complexity, lack of reference standards, databases, and software solutions. Here, we introduce a fast 6 min high field asymmetric ion mobility spectrometry (FAIMS) shotgun lipidomics workflow, along with a dedicated software solution for ganglioside detection. By ramping FAIMS compensation voltages, ideal ranges for different ganglioside classes were obtained. FAIMS revealed both class- and charge-state separation behavior based on the glycan headgroup moiety. The number of sialic acids attached to the glycan moiety correlates positively with their preferred charge states, i.e., trisialylated gangliosides were main..
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Awarded by Austrian Science Fund
Funding Acknowledgements
K.H. was financed by the Austrian Science Fonds (FWF) within the research group program (10.55776/FG3) and a travel grant of the Doctoral School of Chemistry (DoSChem) of the University of Vienna, Faculty of Chemistry. The research was funded in part by the Australian Research Council, grant number DP190102464 to G.E.R. The authors thank all members of the Reid lab (University of Melbourne), Rampler lab and Koellensperger lab (University of Vienna) as well as the Hartler lab (University of Graz) for the great team spirit and scientific exchange across continents. We also thank Dr Shuai Nie and Huaqi Su for their scientific exchange and support with respect to the instrumentation located within the Mass Spectrometry and Proteomics Facility (MSPF) at the Bio21 Institute, University of Melbourne, where the study was performed.