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  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., et al. (2023). Visualization of metabolites and microbes at high spatial resolution using MALDI mass spectrometry imaging and in situ fluorescence labeling. NATURE PROTOCOLS, 18(10), 3050-3079. doi:10.1038/s41596-023-00864-1.

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Bourceau, Patric1, Autor           
Geier, Benedikt1, Autor           
Suerdieck, Vincent2, Autor
Bien, Tanja2, Autor
Soltwisch, Jens2, Autor
Dreisewerd, Klaus2, Autor
Liebeke, Manuel1, Autor           
Affiliations:
1Department of Symbiosis, Max Planck Institute for Marine Microbiology, Max Planck Society, ou_2481699              
2external, ou_persistent22              

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Schlagwörter: RIBOSOMAL-RNA; OLIGONUCLEOTIDE PROBES; BATHYMODIOLUS-AZORICUS; MS; IDENTIFICATION; HYBRIDIZATION; IONIZATION; TISSUE; QUANTIFICATION; FISHBiochemistry & Molecular Biology;
 Zusammenfassung: 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 similar to 2 work days.

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Sprache(n): eng - English
 Datum: 2023-09-06
 Publikationsstatus: Erschienen
 Seiten: 30
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 Identifikatoren: ISI: 001062814700002
DOI: 10.1038/s41596-023-00864-1
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Titel: NATURE PROTOCOLS
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY : NATURE PORTFOLIO
Seiten: - Band / Heft: 18 (10) Artikelnummer: - Start- / Endseite: 3050 - 3079 Identifikator: ISSN: 1754-2189