A High-Throughput Data-Independent Acquisition Workflow for Deep Characterisation of the sn-Isomer Lipidome

Michael, J. A.; Young, R. S. E.; Balez, R.; Jekimovs, L. J.; Marshall, D. L.; Poad, B. L. J.; Mitchell, T. W.; Blanksby, S. J.; Ejsing, C. S.; Ellis, S. R.

doi:10.1101/2023.11.04.565044

bioRxiv · 10.1101/2023.11.04.565044

A High-Throughput Data-Independent Acquisition Workflow for Deep Characterisation of the sn-Isomer Lipidome

Michael, J. A.·Young, R. S. E.·Balez, R.·Jekimovs, L. J.·Marshall, D. L.·Poad, B. L. J.·Mitchell, T. W.·Blanksby, S. J.·Ejsing, C. S.·Ellis, S. R.

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Abstract

We report a workflow based on ozone-induced dissociation for untargeted characterization of hundreds of sn-resolved glycerophospholipid isomers from biological extracts in under 20 minutes, coupled with an automated data analysis pipeline. It provides an order of magnitude increase in the number of sn-isomer pairs identified compared to previous reports, reveals that sn-isomer populations are tightly regulated and significantly different between cell lines, and enables identification of rare lipids containing ultra-long chain monounsaturated acyl chains.

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Michael, J. A., Young, R. S. E., Balez, R., Jekimovs, L. J., Marshall, D. L., Poad, B. L. J., Mitchell, T. W., Blanksby, S. J., Ejsing, C. S., Ellis, S. R.. 2023-11-05. A High-Throughput Data-Independent Acquisition Workflow for Deep Characterisation of the sn-Isomer Lipidome. https://doi.org/10.1101/2023.11.04.565044

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