Development of a Single-Cell Spatial MetabolomicsMethod for the Characterization of Cell–Cell Metabolic Interactions

代谢组学 癌细胞 代谢途径 生物化学 生物 肿瘤微环境 细胞 计算生物学 癌症 化学 结直肠癌 细胞培养 肺癌 细胞信号 代谢组 细胞生长 细胞生物学 糖酵解 代谢活性 电池类型 新陈代谢 肿瘤细胞 生物信息学 肝癌 代谢调节 蛋白质组学
作者
Yaqi Zhang (787020),Panpan Chen (307628),Haoyuan Geng (17446589),Min Li (12799),Shiping Chen (566714),Bangzhen Ma (16879476),Yan Ma (88810),Jianjun Lai (9325340),Xiaoqing Cui (4446490),Wei Chong (782416),Hao Chen (5190),Xiao Wang (19312),Chenglong Sun (4059043)
出处
期刊: [Figshare (United Kingdom)]
标识
DOI:10.1021/acs.analchem.5c00384.s001
摘要

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.
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