| Literature DB >> 34339935 |
Shenghao Guo1, Cissy Zhang2, Anne Le3.
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.Entities:
Mesh:
Year: 2021 PMID: 34339935 PMCID: PMC8592278 DOI: 10.1016/j.copbio.2021.07.015
Source DB: PubMed Journal: Curr Opin Biotechnol ISSN: 0958-1669 Impact factor: 10.279