Krestensen Kasper K, Hendriks Tim F E, Grgic Andrej, Derweduwe Marleen, De Smet Frederik, Heeren Ron M A, Cuypers Eva
The Maastricht MultiModal Molecular Imaging (M4I) institute, Division of Imaging Mass Spectrometry (IMS), Maastricht University, 6229 ER Maastricht, The Netherlands.
Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Unit, KU Leuven, 3001 Leuven, Belgium.
Anal Chem. 2025 Feb 25;97(7):3846-3854. doi: 10.1021/acs.analchem.4c03821. Epub 2025 Feb 11.
In recent years, mass spectrometry-based imaging techniques have improved at unprecedented speeds, particularly in spatial resolution, and matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) experiments can now routinely image molecular profiles of single cells in an untargeted fashion. With the introduction of MALDI-immunohistochemistry (IHC), multiplexed visualization of targeted proteins in their native tissue location has become accessible and joins the suite of multimodal imaging techniques that help unravel molecular complexities. However, MALDI-IHC has not been validated for use with cell cultures at single-cell level. Here, we introduce a workflow for combining MALDI-MSI and MALDI-IHC on single, isolated cells. Patient-derived cells from glioblastoma tumor samples were imaged, first with high-resolution MSI to obtain a lipid profile, followed by MALDI-IHC highlighting cell-specific protein markers. The multimodal imaging revealed cell type specific lipid profiles when comparing glioblastoma cells and neuronal cells. Furthermore, the initial MSI measurement and its sample preparation showed no significant differences in the subsequent MALDI-IHC ion intensities. Finally, an automated recognition model was created based on the MALDI-MSI data and was able to accurately classify cells into their respective cell type in agreement with the MALDI-IHC markers, with triglycerides, phosphatidylcholines, and sphingomyelins being the most important classifiers. These results show how MALDI-IHC can provide additional valuable molecular information on single-cell measurements, even after an initial MSI measurement without reduced efficacy. Investigation of heterogeneous single-cell samples has the potential of giving a unique insight into the dynamics of how cell-to-cell interaction drives intratumor heterogeneity, thus highlighting the perspective of this work.
近年来,基于质谱的成像技术以前所未有的速度得到改进,尤其是在空间分辨率方面,现在基质辅助激光解吸/电离(MALDI)质谱成像(MSI)实验能够以非靶向方式常规地对单细胞的分子图谱进行成像。随着MALDI免疫组织化学(IHC)的引入,在天然组织位置对靶向蛋白质进行多重可视化已成为可能,并加入了有助于揭示分子复杂性的多模态成像技术套件。然而,MALDI-IHC尚未在单细胞水平上针对细胞培养进行验证。在此,我们介绍一种在单个分离细胞上结合MALDI-MSI和MALDI-IHC的工作流程。对来自胶质母细胞瘤肿瘤样本的患者来源细胞进行成像,首先用高分辨率MSI获得脂质图谱,然后用MALDI-IHC突出显示细胞特异性蛋白质标记物。多模态成像在比较胶质母细胞瘤细胞和神经元细胞时揭示了细胞类型特异性脂质图谱。此外,初始MSI测量及其样品制备在随后的MALDI-IHC离子强度方面没有显示出显著差异。最后,基于MALDI-MSI数据创建了一个自动识别模型,该模型能够根据MALDI-IHC标记物将细胞准确分类到各自的细胞类型中,甘油三酯、磷脂酰胆碱和鞘磷脂是最重要的分类器。这些结果表明,即使在初始MSI测量之后,MALDI-IHC如何能够在单细胞测量中提供额外的有价值分子信息且不降低效能。对异质单细胞样本的研究有可能为细胞间相互作用如何驱动肿瘤内异质性的动态过程提供独特见解,从而突出了这项工作的意义。