Single cell metabolomics is an emerging and rapidly developing field that complements developments in single cell analysis by genomics and proteomics. Major goals include mapping and quantifying the metabolome in sufficient detail to provide useful information about cellular function in highly heterogeneous systems such as tissue, ultimately with spatial resolution at the individual cell level. The chemical diversity and dynamic range of metabolites poses particular challenges for detection, identification and quantification. In this review we discuss both significant technical issues of measurement and interpretation, and progress toward addressing them, with recent examples from diverse biological systems. We provide a framework for further directions aimed at improving workflow and robustness so that such analyses may become commonly applied, especially in combination with metabolic imaging and single cell transcriptomics and proteomics.
|State||Published - Oct 2022|
Bibliographical noteFunding Information:
EF: Chan Zuckerberg Foundation Grant #: CZF2019-002436. ANL, CZ: COBRE Cancer and Metabolism 5P20GM121327. LIM: NIH R01AI168038, R21AI148886 and R21AI156669; PhRMA foundation, award number 45188; Burroughs Wellcome Fund Investigators in the Pathogenesis of Infectious Disease Award. MM: NSERC Alexander Graham Bell Canadian Graduate Scholarship. JVS: the National Institute on Drug Abuse through P30DA018310.
This work is an extension of a Workshop on Single Cell Metabolomics of the Precision Medicine Task Group of the Metabolomics Society and MANA on Friday February 26, 2021.
© 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
- Metabolic imaging
- Single cell metabolism
- Spatial metabolomics
ASJC Scopus subject areas
- Endocrinology, Diabetes and Metabolism
- Clinical Biochemistry