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Visualization of metabolites and microbes at high spatial resolution using MALDI mass spectrometry imaging and in situ fluorescence labeling.
- Source :
-
Nature protocols [Nat Protoc] 2023 Oct; Vol. 18 (10), pp. 3050-3079. Date of Electronic Publication: 2023 Sep 06. - Publication Year :
- 2023
-
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.<br /> (© 2023. Springer Nature Limited.)
Details
- Language :
- English
- ISSN :
- 1750-2799
- Volume :
- 18
- Issue :
- 10
- Database :
- MEDLINE
- Journal :
- Nature protocols
- Publication Type :
- Academic Journal
- Accession number :
- 37674095
- Full Text :
- https://doi.org/10.1038/s41596-023-00864-1