Yuan Jie, Li Xiafei, Shen Xinxin, Xiong Pei, Zhu Nanlin, Ye Yang, Liu Jia
Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
School of Pharmacy, Henan University, Kaifeng 475004, China.
Anal Chem. 2025 Apr 29;97(16):8729-8737. doi: 10.1021/acs.analchem.4c05480. Epub 2025 Apr 16.
The development of spatial multiomics technologies, particularly matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI), has revolutionized our ability to map metabolic processes at single-cell resolution. However, the current techniques face challenges in minimizing matrix interferences and achieving comprehensive metabolite detection across multiple ionization modes. In this study, we present a novel dual-modal MSI workflow that leverages the pairing of 1,5-diaminonaphthalene (DAN) and its hydrochloric salt (DAN-HCl) matrices for sequential detection in positive- and negative-ion modes, respectively. This approach significantly enhanced metabolite coverage, spanning both lipid-based and nonlipid small molecules, while eliminating the need for solvent cleaning steps. Applied to a coculture of cholangiocarcinoma (CCLP1) and hepatic stellate (LX2) cells, the workflow revealed significant metabolic distinctions, including differential accumulation of glycerolipids and energy-related metabolites, highlighting the unique metabolic profiles of each cell type. Additionally, several unidentified metabolites were detected, indicating the potential to discover novel metabolic variations. These findings establish our method as a robust tool for single-cell spatial metabolomics with broad applicability in studying complex cellular interactions and advancing both research and clinical applications.
空间多组学技术的发展,尤其是基质辅助激光解吸/电离质谱成像(MALDI-MSI),彻底改变了我们在单细胞分辨率下绘制代谢过程的能力。然而,当前技术在最小化基质干扰以及在多种电离模式下实现全面的代谢物检测方面面临挑战。在本研究中,我们提出了一种新颖的双模式MSI工作流程,该流程利用1,5-二氨基萘(DAN)及其盐酸盐(DAN-HCl)基质的配对,分别在正离子和负离子模式下进行顺序检测。这种方法显著提高了代谢物覆盖范围,涵盖了基于脂质和非脂质的小分子,同时无需溶剂清洗步骤。应用于胆管癌细胞(CCLP1)和肝星状细胞(LX2)的共培养,该工作流程揭示了显著的代谢差异,包括甘油olipids和能量相关代谢物的差异积累,突出了每种细胞类型独特的代谢谱。此外,还检测到了几种未鉴定的代谢物,表明有发现新的代谢变化的潜力。这些发现确立了我们的方法作为单细胞空间代谢组学的强大工具,在研究复杂细胞相互作用以及推进研究和临床应用方面具有广泛的适用性。