Department of Chemistry and Chemical Biology and Barnett Institute of Chemical and Biological Analysis , Northeastern University , Boston , Massachusetts 02115 , United States.
Department of Radiology , Brigham and Women's Hospital, Harvard Medical School , Boston , Massachusetts 02115 , United States.
Anal Chem. 2019 Mar 19;91(6):3810-3817. doi: 10.1021/acs.analchem.8b03454. Epub 2019 Mar 6.
Matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) provides a unique in situ chemical profile that can include drugs, nucleic acids, metabolites, lipids, and proteins. MSI of individual cells (of a known cell type) affords a unique insight into normal and disease-related processes and is a prerequisite for combining the results of MSI and other single-cell modalities (e.g. mass cytometry and next-generation sequencing). Technological barriers have prevented the high-throughput assignment of MSI spectra from solid tissue preparations to their cell type. These barriers include obtaining a suitable cell-identifying image (e.g. immunohistochemistry) and obtaining sufficiently accurate registration of the cell-identifying and MALDI-MS images. This study introduces a technique that overcame these barriers by assigning cell type directly from mass spectra. We hypothesized that, in MSI from mice with a defined fluorescent protein expression pattern, the fluorescent protein's molecular ion could be used to identify cell cohorts. A method was developed for the purification of enhanced yellow fluorescent protein (EYFP) from mice. To determine EYFP's molecular mass for MSI studies, we performed intact mass analysis and characterized the protein's primary structure and post-translational modifications through various techniques. MALDI-MSI methods were developed to enhance the detection of EYFP in situ, and by extraction of EYFP's molecular ion from MALDI-MS images, automated, whole-image assignment of cell cohorts was achieved. This method was validated using a well-characterized mouse line that expresses EYFP in motor and sensory neurons and should be applicable to hundreds of commercially available mice (and other animal) strains comprising a multitude of cell-specific fluorescent labels.
基质辅助激光解吸/电离(MALDI)质谱成像(MSI)提供了独特的原位化学分析,可以包括药物、核酸、代谢物、脂质和蛋白质。对单个细胞(已知细胞类型)的 MSI 分析可以深入了解正常和与疾病相关的过程,是将 MSI 和其他单细胞模式(例如质谱流式细胞术和下一代测序)的结果结合起来的前提。技术障碍阻止了从固体组织制备物中将 MSI 光谱高通量分配给它们的细胞类型。这些障碍包括获得合适的细胞识别图像(例如免疫组织化学),以及获得细胞识别和 MALDI-MS 图像的足够准确的配准。本研究介绍了一种通过直接从质谱分配细胞类型来克服这些障碍的技术。我们假设,在具有明确荧光蛋白表达模式的小鼠的 MSI 中,可以使用荧光蛋白的分子离子来识别细胞群。开发了一种从小鼠中纯化增强型黄色荧光蛋白(EYFP)的方法。为了确定 EYFP 的 MSI 研究的分子质量,我们进行了完整质量分析,并通过各种技术对该蛋白质的一级结构和翻译后修饰进行了表征。开发了 MALDI-MSI 方法来增强 EYFP 的原位检测,并通过从 MALDI-MS 图像中提取 EYFP 的分子离子,实现了细胞群的自动全图像分配。该方法使用表达 EYFP 在运动神经元和感觉神经元中的一种特征明确的小鼠系进行了验证,应该适用于数百种商业上可获得的包含多种细胞特异性荧光标记的小鼠(和其他动物)品系。