Cheng Hanjun, Tang Yin, Li Zhonghan, Guo Zhili, Heath James R, Xue Min, Wei Wei
Institute for Systems Biology, Seattle, WA, 98109, United States.
Department of Chemistry, University of California, Riverside, CA, 92521, United States.
Trends Analyt Chem. 2023 Nov;168. doi: 10.1016/j.trac.2023.117300. Epub 2023 Sep 20.
Metabolic assays serve as pivotal tools in biomedical research, offering keen insights into cellular physiological and pathological states. While mass spectrometry (MS)-based metabolomics remains the gold standard for comprehensive, multiplexed analyses of cellular metabolites, innovative technologies are now emerging for the targeted, quantitative scrutiny of metabolites and metabolic pathways at the single-cell level. In this review, we elucidate an array of these advanced methodologies, spanning synthetic and surface chemistry techniques, imaging-based methods, and electrochemical approaches. We summarize the rationale, design principles, and practical applications for each method, and underscore the synergistic benefits of integrating single-cell metabolomics (scMet) with other single-cell omics technologies. Concluding, we identify prevailing challenges in the targeted scMet arena and offer a forward-looking commentary on future avenues and opportunities in this rapidly evolving field.
代谢分析是生物医学研究中的关键工具，能为细胞的生理和病理状态提供深刻见解。虽然基于质谱（MS）的代谢组学仍是全面、多重分析细胞代谢物的金标准，但目前正在涌现一些创新技术，用于在单细胞水平对代谢物和代谢途径进行靶向定量研究。在本综述中，我们阐述了一系列这些先进方法，涵盖合成和表面化学技术、基于成像的方法以及电化学方法。我们总结了每种方法的原理、设计原则和实际应用，并强调了将单细胞代谢组学（scMet）与其他单细胞组学技术整合的协同优势。最后，我们确定了靶向scMet领域当前面临的挑战，并对这个快速发展领域的未来方向和机遇进行了前瞻性评论。
