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Single cell metabolism: current and future trends

Metabolomics, vol. 18, pp. 77

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.

Authors 13

  1. Leiden University

    Affiliation as printed

    Leiden Academic Centre for Drug Research, University of Leiden, Gorlaeus Building Einsteinweg 55, 2333 CC, Leiden, The Netherlands

  2. Princeton University

    Affiliation as printed

    Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA

  3. Massachusetts Institute of Technology

    Affiliation as printed

    Department of Biological Engineering and the Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, MA, USA

  4. National Physical Laboratory

    Affiliation as printed

    National Physical Laboratory, Teddington, TW11 0LW, Middlesex, UK

  5. Leiden University

    Affiliation as printed

    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 at Charité - Universitätsmedizin Berlin · Charité - Universitätsmedizin Berlin

    Affiliation as printed

    Berlin Institute of Health, Metabolomics Platform, Translational Research Unit of the Charite-Universitätsmedizin Berlin, Anna-Louisa-Karsch-Str 2, 10178, Berlin, Germany

  7. Andrew N. Lane corresponding

    University of Kentucky

    Affiliation as printed

    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

    Department of Toxicology and Cancer Biology, and Center for Environmental and Systems Biochemistry, University of Kentucky, 789 S. Limestone St, Lexington, KY, 40536, USA

  8. Uppsala University

    Affiliation as printed

    Department of Chemistry-BMC, Uppsala University, Husargatan 3 (576), 751 23, Uppsala, Sweden

  9. National Cancer Institute · Center for Cancer Research

    Affiliation as printed

    Center for Cancer Research, National Cancer Institute, Building 37, Room 1136A, Bethesda, MD, 20892, USA

  10. University of Oklahoma

    Affiliation as printed

    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. Massachusetts Institute of Technology

    Affiliation as printed

    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. University of Illinois Urbana-Champaign

    Affiliation as printed

    Department of Chemistry, and the Beckman Institute, University of Illinois Urbana-Champaign, 505 South Mathews Avenue, Urbana, IL, 61801, USA

  13. University of Kentucky

    Affiliation as printed

    Department of Biomedical Engineering, University of Kentucky, Lexington, KY, 40536, USA

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References 200