Single cell metabolism: current and future trends

Ahmed Ali; Shawn Davidson; Ernest Fraenkel; Ian Gilmore; Thomas Hankemeier; Jennifer A Kirwan; Andrew N Lane; Ingela Lanekoff; Mioara Larion; Laura-Isobel McCall; Michael Murphy; Jonathan V Sweedler; Caigang Zhu

doi:10.1007/s11306-022-01934-3

Single cell metabolism: current and future trends

Metabolomics. 2022 Oct 1;18(10):77. doi: 10.1007/s11306-022-01934-3.

Authors

Affiliations

¹ Leiden Academic Centre for Drug Research, University of Leiden, Gorlaeus Building Einsteinweg 55, 2333 CC, Leiden, The Netherlands.
² Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.
³ Department of Biological Engineering and the Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, MA, USA.
⁴ National Physical Laboratory, Teddington, TW11 0LW, Middlesex, UK.
⁵ Leiden Academic Centre for Drug Research, University of Leiden, Room number GW4.07, Gorlaeus Building, Einsteinweg 55, 2333 CC, Leiden, The Netherlands.
⁶ Berlin Institute of Health, Metabolomics Platform, Translational Research Unit of the Charite-Universitätsmedizin Berlin, Anna-Louisa-Karsch-Str 2, 10178, Berlin, Germany.
⁷ Department of Toxicology and Cancer Biology, and Center for Environmental and Systems Biochemistry, University of Kentucky, 789 S. Limestone St, Lexington, KY, 40536, USA. andrew.lane@uky.edu.
⁸ Department of Chemistry-BMC, Uppsala University, Husargatan 3 (576), 751 23, Uppsala, Sweden.
⁹ Center for Cancer Research, National Cancer Institute, Building 37, Room 1136A, Bethesda, MD, 20892, USA.
¹⁰ Department of Chemistry & Biochemistry, Department of Microbiology and Plant Biology, Laboratories of Molecular Anthropology and Microbiome Research, University of Oklahoma, 101 Stephenson Parkway, room 3750, Norman, OK, 73019-5251, USA.
¹¹ Departments of Biological Engineering, Department of Electrical Engineering, and Computer Science and the Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, USA.
¹² Department of Chemistry, and the Beckman Institute, University of Illinois Urbana-Champaign, 505 South Mathews Avenue, Urbana, IL, 61801, USA.
¹³ Department of Biomedical Engineering, University of Kentucky, Lexington, KY, 40536, USA.

Abstract

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.

Keywords: Metabolic imaging; Single cell metabolism; Spatial metabolomics.

Publication types

Review
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't

MeSH terms

Metabolome*
Metabolomics* / methods
Proteomics
Workflow

Abstract

Publication types

MeSH terms

Grants and funding