Bourceau Patric, Geier Benedikt, Suerdieck Vincent, Bien Tanja, Soltwisch Jens, Dreisewerd Klaus, Liebeke Manuel
Max Planck Institute for Marine Microbiology, Bremen, Germany.
MARUM - Center for Marine Environmental Sciences, University of Bremen, Bremen, Germany.
Nat Protoc. 2023 Oct;18(10):3050-3079. doi: 10.1038/s41596-023-00864-1. Epub 2023 Sep 6.
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.
诸如基质辅助激光解吸电离质谱成像(MALDI-MSI)等无标记分子成像技术能够直接且同时绘制生物组织薄片中数百种不同代谢物的图谱。然而,在宿主与微生物的相互作用中,定位微生物以及区分宿主代谢物与微生物群落成员的代谢物仍然具有挑战性。因此,我们开发了一种相关成像方法,将MALDI-MSI与同一组织切片上的荧光原位杂交(FISH)相结合,以识别和定位微生物细胞。在此,我们详细介绍metaFISH,这是一种基于核酸探针成像将代谢物的空间分布分配给微生物群落成员的强大且简便的方法,可实现单细胞分辨率。我们描述了组织制备、组织上杂交、荧光显微镜检查、将数据整合到相关图像数据集中、基质应用和MSI数据采集所需的步骤。使用metaFISH,我们在单个组织切片上以微米尺度绘制了数百种代谢物和几种微生物物种的图谱。例如,细胞内和细胞外细菌、宿主细胞及其相关代谢物可以在动物组织中定位,揭示它们复杂的代谢相互作用。我们解释了如何将低丰度细菌感染部位识别为高分辨率MSI分析的感兴趣区域,指导用户在代谢物信号强度和荧光信号之间进行权衡。MetaFISH适用于从环境微生物学家到临床科学家的广泛用户群体。该方案大约需要2个工作日。