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Michael, J. A.

Publications and source records attributed to Michael, J. A..

2 recordsLinked to original sources

Dynamic neutrophil lipidome remodeling during induction of NETosis

Neutrophil Extracellular Trap formation (NETosis) affects a wide variety of clinically relevant human diseases. Although lipid remodeling is essential for neutrophil function and membrane rupture during NETosis, the neutrophil lipidome and its dynamics have not been characterized. Thus, we establish the first quantitative lipidome of human neutrophils comprising 1,039 species across nine orders of magnitude and map its remodeling during NETosis. NET formation caused profound alterations in the phosphatidylinositol, phosphatidic acid, diacylglycerol and lysoglycerophospholipid levels. Calcium- and reactive oxygen species-dependent NETosis pathways displayed distinct lipidomic trajectories, yet converged on the significance of phospholipid lipase networks. Pharmacological inhibition of this networks altered lipid composition and markedly impaired NETosis, while diacylglycerol (DG) treatment revoked the effect. Altogether our findings reveal lipid remodeling as a fundamental determinant of NETosis and identify interconnected and dependent phospholipid lipase networks with downstream DG-dependent signaling as a potential therapeutic target in NET-associated diseases.

molecular biology↗

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

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.

cell biology↗