Single cell metabolism: current and future trends
Name
11306_2022_1934_ReferencePDF.pdf
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1.95 MB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Ali, Ahmed
Davidson, Shawn
Fraenkel, Ernest
Gilmore, Ian
Hankemeier, Thomas
Kirwan, Jennifer A.
Lane, Andrew N.
Lanekoff, Ingela
Larion, Mioara
McCall, Laura-Isobel
Date Issued
October 1, 2022
Publisher
Springer US
Citation
Metabolomics. 2022 Oct 01;18(10):77
Version
Author's final manuscript
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Computational and Systems Biology Program
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1007/s11306-022-01934-3
