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@ARTICLE{Wang:279434,
      author       = {Wang, Lian Y and Derks, Rico J E and Brewster, Kevin A J
                      and Prtvar, Danilo and Tahirovic, Sabina and Berghoff,
                      Stefan A and Giera, Martin},
      title        = {{L}abel-free quantitative shotgun analysis of
                      bis(monoacylglycero)phosphate lipids.},
      journal      = {Analytical and bioanalytical chemistry},
      volume       = {417},
      number       = {16},
      issn         = {1618-2642},
      address      = {Heidelberg},
      publisher    = {Springer},
      reportid     = {DZNE-2025-00765},
      pages        = {3665 - 3673},
      year         = {2025},
      abstract     = {Interest in the role of bis(monoacylglycero)phosphate (BMP)
                      lipids in lysosomal function has significantly grown in
                      recent years. Emerging evidence highlights BMPs as critical
                      players not only in Niemann-Pick disease type C (NPC) but
                      also in other pathologies such as neurodegeneration,
                      cardiovascular diseases, and cancers. However, the selective
                      analysis of BMPs is significantly hindered by isomeric
                      phosphatidylglycerol (PG) lipids. While this can be
                      addressed by chromatographic separation, it poses a
                      significant challenge for shotgun lipidomics approaches.
                      Here, we present a shotgun lipidomics strategy to detect and
                      separate BMPs from PGs using differential fragmentation of
                      sodiated ions. This approach, including isotope correction,
                      is integrated into an existing quantitative shotgun
                      lipidomics workflow (Lipidyzer combined with Shotgun
                      Lipidomics Assistant software) that simultaneously
                      quantifies >1400 lipids. Validation using K-562 cell
                      extracts demonstrated acceptable linearity, trueness,
                      repeatability, and a limit of quantification of 0.12 µM,
                      confirming robust analytical performance. Finally,
                      characteristic accumulation of BMP lipids is shown in bone
                      marrow-derived macrophages from NPC mice, demonstrating its
                      applicability. Our method presents a quantitative,
                      selective, rapid, and robust solution for shotgun-based BMP
                      analysis without the need for extensive chromatographic
                      separation or derivatization. The integration of BMP lipid
                      detection into the Lipidyzer platform, alongside the
                      recently launched iSODA data visualization tool, empowers
                      chemists and biologists to gain deeper insights into BMP
                      lipid biology.},
      keywords     = {Monoglycerides: analysis / Monoglycerides: metabolism /
                      Animals / Lipidomics: methods / Mice / Humans /
                      Lysophospholipids: analysis / Lysophospholipids: metabolism
                      / Niemann-Pick Disease, Type C: metabolism / Macrophages:
                      chemistry / Macrophages: metabolism / Limit of Detection /
                      Tandem Mass Spectrometry: methods / BMP (Other) / Flow
                      injection (Other) / Label free (Other) / Mass spectrometry
                      (Other) / Shotgun lipidomics (Other) / Monoglycerides (NLM
                      Chemicals) / bis(monoacylglyceryl)phosphate (NLM Chemicals)
                      / Lysophospholipids (NLM Chemicals)},
      cin          = {AG Tahirovic / AG Simons},
      cid          = {I:(DE-2719)1140003 / I:(DE-2719)1110008},
      pnm          = {352 - Disease Mechanisms (POF4-352) / 351 - Brain Function
                      (POF4-351)},
      pid          = {G:(DE-HGF)POF4-352 / G:(DE-HGF)POF4-351},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40343460},
      pmc          = {pmc:PMC12206189},
      doi          = {10.1007/s00216-025-05890-4},
      url          = {https://pub.dzne.de/record/279434},
}