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Visualization of metabolites and microbes at high spatial resolution using MALDI mass spectrometry imaging and in situ fluorescence labeling.
Bourceau, Patric; Geier, Benedikt; Suerdieck, Vincent; Bien, Tanja; Soltwisch, Jens; Dreisewerd, Klaus; Liebeke, Manuel.
Affiliation
  • Bourceau P; Max Planck Institute for Marine Microbiology, Bremen, Germany.
  • Geier B; MARUM - Center for Marine Environmental Sciences, University of Bremen, Bremen, Germany.
  • Suerdieck V; Max Planck Institute for Marine Microbiology, Bremen, Germany.
  • Bien T; Stanford University School of Medicine, Stanford, CA, USA.
  • Soltwisch J; Institute of Hygiene, University of Münster, Münster, Germany.
  • Dreisewerd K; Institute of Hygiene, University of Münster, Münster, Germany.
  • Liebeke M; Bruker Daltonics GmbH & Co. KG, Bremen, Germany.
Nat Protoc ; 18(10): 3050-3079, 2023 Oct.
Article in En | MEDLINE | ID: mdl-37674095
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.

Full text: 1 Database: MEDLINE Type of study: Guideline Language: En Year: 2023 Type: Article

Full text: 1 Database: MEDLINE Type of study: Guideline Language: En Year: 2023 Type: Article