Department of Biomedical Engineering, Johns Hopkins University Whiting School of Engineering, Baltimore, MD, USA.
Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Biology, Johns Hopkins University Krieger School of Arts & Sciences, Baltimore, MD, USA.
Curr Opin Biotechnol. 2021 Oct;71:115-122. doi: 10.1016/j.copbio.2021.07.015. Epub 2021 Jul 30.
Single-cell metabolomics (SCM) is currently one of the most powerful tools for performing high-throughput metabolic analysis at the cellular level. The power of single-cell metabolomics to determine the metabolic profiles of individual cells makes it very suitable for decoding cell heterogeneity. SCM bears great potential in cell type identification and differentiation within cell colonies. With the development of various equipment and techniques, SCM analysis has become possible for a wide range of biological samples. Many fields have incorporated this cutting-edge analytic tool to generate fruitful findings. This review article pays close attention to the prevalent techniques utilized in SCM and the exciting new findings and applications developed by studies in phytology, neurology, and oncology using SCM.
单细胞代谢组学（SCM）是目前在细胞水平上进行高通量代谢分析的最有力工具之一。单细胞代谢组学确定单个细胞代谢特征的能力使其非常适合解码细胞异质性。SCM 在细胞群体内的细胞类型鉴定和分化方面具有巨大潜力。随着各种设备和技术的发展，SCM 分析已经可以应用于广泛的生物样本。许多领域都已经将这一前沿分析工具纳入其中，取得了丰硕的研究成果。本文密切关注 SCM 中常用的技术，以及植物学、神经科学和肿瘤学领域中利用 SCM 取得的令人兴奋的新发现和应用。
