Zhang Yaqi, Chen Panpan, Geng Haoyuan, Li Min, Chen Shiping, Ma Bangzhen, Ma Yan, Lai Jianjun, Cui Xiaoqing, Chong Wei, Chen Hao, Wang Xiao, Sun Chenglong
Key Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China.
Key Laboratory for Natural Active Pharmaceutical Constituents Research in Universities of Shandong Province, School of Pharmaceutical Sciences, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China.
Anal Chem. 2025 Apr 15;97(14):7986-7994. doi: 10.1021/acs.analchem.5c00384. Epub 2025 Apr 4.
Tumor microenvironment (TME) is characterized by complex cellular composition and high molecular heterogeneity. Characterizing the metabolic interactions between different cells in the TME is important for understanding the molecular signatures of tumors and identifying potential metabolic vulnerabilities for tumor treatment. In this research, we develop a single-cell spatial metabolomics method to profile cell-specific metabolic signatures and cell-cell metabolic interactions using matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI). Different low-molecular-weight metabolites and lipids including glutamate, aspartate, glutamine, taurine, phenylalanine, glutathione, fatty acids, phospholipids, etc. were successfully detected and imaged after optimizing cell culture conductive slides, cell washing, and fixation procedures. Subsequently, we carried out single-cell spatial metabolomics on H460 large-cell lung cancer cells, HT-29 colorectal cancer cells, A549 lung cancer cells, HUH-7 liver cancer cells, and cancer-fibroblasts coculture system. We revealed that the metabolic profiles of both cancer cells and fibroblasts were altered after cell coculture. Glutamate and aspartate significantly increased in fibroblasts after coculture with cancer cells, corresponding to their indispensable roles in the creation of pro-cancer microenvironment. In addition, we discovered that the expressions of fatty acids and phospholipids in tumor cells and fibroblasts were also changed after cell coculture, which is closely related to the competition for energy and nutrient metabolites between different cells. We anticipate this single-cell analysis method to be broadly used in the investigations of diverse cellular models and cell-cell metabolic interactions.
肿瘤微环境(TME)具有复杂的细胞组成和高度的分子异质性。表征TME中不同细胞之间的代谢相互作用对于理解肿瘤的分子特征以及识别肿瘤治疗的潜在代谢弱点至关重要。在本研究中,我们开发了一种单细胞空间代谢组学方法,以使用基质辅助激光解吸/电离质谱成像(MALDI-MSI)来描绘细胞特异性代谢特征和细胞间代谢相互作用。在优化细胞培养导电载玻片、细胞洗涤和固定程序后,成功检测并成像了不同的低分子量代谢物和脂质,包括谷氨酸、天冬氨酸、谷氨酰胺、牛磺酸、苯丙氨酸、谷胱甘肽、脂肪酸、磷脂等。随后,我们对H460大细胞肺癌细胞、HT-29结肠癌细胞、A549肺癌细胞、HUH-7肝癌细胞以及癌细胞-成纤维细胞共培养系统进行了单细胞空间代谢组学研究。我们发现细胞共培养后癌细胞和成纤维细胞的代谢谱均发生了改变。与癌细胞共培养后,成纤维细胞中的谷氨酸和天冬氨酸显著增加,这与其在促癌微环境形成中的不可或缺作用相对应。此外,我们还发现细胞共培养后肿瘤细胞和成纤维细胞中脂肪酸和磷脂的表达也发生了变化,这与不同细胞之间对能量和营养代谢物的竞争密切相关。我们预计这种单细胞分析方法将广泛应用于各种细胞模型和细胞间代谢相互作用的研究中。