Visualization of metabolites and microbes at high spatial resolution using MALDI mass spectrometry imaging and in situ fluorescence labeling.

Bourceau P; Geier B; Suerdieck V; Bien T; Soltwisch J; Dreisewerd K; Liebeke M

Research article (journal) | Peer reviewed

Abstract

Label-free molecular imaging techniques such as matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI) enable the direct and simultaneous mapping of hundreds of different metabolites in thin sections of biological tissues. However, in host-microbe interactions it remains challenging to localize microbes and to assign metabolites to the host versus members of the microbiome. We therefore developed a correlative imaging approach combining MALDI-MSI with fluorescence in situ hybridization (FISH) on the same section to identify and localize microbial cells. Here, we detail metaFISH as a robust and easy method for assigning the spatial distribution of metabolites to microbiome members based on imaging of nucleic acid probes, down to single-cell resolution. We describe the steps required for tissue preparation, on-tissue hybridization, fluorescence microscopy, data integration into a correlative image dataset, matrix application and MSI data acquisition. Using metaFISH, we map hundreds of metabolites and several microbial species to the micrometer scale on a single tissue section. For example, intra- and extracellular bacteria, host cells and their associated metabolites can be localized in animal tissues, revealing their complex metabolic interactions. We explain how we identify low-abundance bacterial infection sites as regions of interest for high-resolution MSI analysis, guiding the user to a trade-off between metabolite signal intensities and fluorescence signals. MetaFISH is suitable for a broad range of users from environmental microbiologists to clinical scientists. The protocol requires ~2 work days.

Details about the publication

JournalNature Protocols (Nat. Protoc.)
Volume18
Issue10
Page range3050-3079
StatusPublished
Release year2023 (06/09/2023)
Language in which the publication is writtenEnglish
DOI10.1038/s41596-023-00864-1
KeywordsChemical ecology; Fluorescence imaging

Authors from the University of Münster

Bien, Tanja
Institute of Hygiene
Dreisewerd, Klaus
Institute of Hygiene
Soltwisch, Jens
Institute of Hygiene