The limitless applications of single-cell metabolomics.

Shenghao Guo, Cissy Zhang, Anne Le

Journal: Current opinion in biotechnology 2021;71():115-122

PMID: 34339935

Abstract

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.

Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Address: 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.; Department of Pathology and Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Chemical and Biomolecular Engineering, Johns Hopkins University Whiting School of Engineering, Baltimore, MD, USA. Electronic address: [email protected].
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