Number of the records: 1  

On-tissue dataset-dependent MALDI-TIMS-MS2 bioimaging

  1. 1.
    0578317 - ÚOCHB 2024 RIV US eng J - Journal Article
    Heuckeroth, S. - Behrens, A. - Wolf, C. - Fütterer, A. - Nordhorn, I. D. - Kronenberg, K. - Brungs, Corinna - Korf, A. - Richter, H. - Jeibmann, A. - Karst, U. - Schmid, Robin
    On-tissue dataset-dependent MALDI-TIMS-MS2 bioimaging.
    Nature Communications. Roč. 14, November (2023), č. článku 7495. E-ISSN 2041-1723
    R&D Projects: GA ČR(CZ) GM21-11563M
    Institutional support: RVO:61388963
    Keywords : mass spectrometry * data acquisition * MALDI-TOF
    OECD category: Biochemistry and molecular biology
    Impact factor: 16.6, year: 2022
    Method of publishing: Open access
    https://doi.org/10.1038/s41467-023-43298-9

    Trapped ion mobility spectrometry (TIMS) adds an additional separation dimension to mass spectrometry (MS) imaging, however, the lack of fragmentation spectra (MS2) impedes confident compound annotation in spatial metabolomics. Here, we describe spatial ion mobility-scheduled exhaustive fragmentation (SIMSEF), a dataset-dependent acquisition strategy that augments TIMS-MS imaging datasets with MS2 spectra. The fragmentation experiments are systematically distributed across the sample and scheduled for multiple collision energies per precursor ion. Extendable data processing and evaluation workflows are implemented into the open source software MZmine. The workflow and annotation capabilities are demonstrated on rat brain tissue thin sections, measured by matrix-assisted laser desorption/ionisation (MALDI)-TIMS-MS, where SIMSEF enables on-tissue compound annotation through spectral library matching and rule-based lipid annotation within MZmine and maps the (un)known chemical space by molecular networking. The SIMSEF algorithm and data analysis pipelines are open source and modular to provide a community resource.
    Permanent Link: https://hdl.handle.net/11104/0347326

     
     
Number of the records: 1  

  This site uses cookies to make them easier to browse. Learn more about how we use cookies.