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

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

Research output: Contribution to journal › Review article › peer-review

18 Scopus citations

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.

Original language	English
Article number	77
Journal	Metabolomics
Volume	18
Issue number	10
DOIs	https://doi.org/10.1007/s11306-022-01934-3
State	Published - Oct 2022

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Funding

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. 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.

Funders	Funder number
MANA
Metabolomics Society
National Institutes of Health (NIH)
National Institute of Allergy and Infectious Diseases	R21AI148886, R21AI156669, R01AI168038
Not added	unidentified
National Institute on Drug Abuse	P30DA018310
National Institute of General Medical Sciences COBRE	P20GM121327
Pharmaceutical Research and Manufacturers of America Foundation	45188

Keywords

Metabolic imaging
Single cell metabolism
Spatial metabolomics

ASJC Scopus subject areas

Endocrinology, Diabetes and Metabolism
Biochemistry
Clinical Biochemistry

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/s11306-022-01934-3

Cite this

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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.",

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AU - Davidson, Shawn

AU - Fraenkel, Ernest

AU - Gilmore, Ian

AU - Hankemeier, Thomas

AU - Kirwan, Jennifer A.

AU - Lane, Andrew N.

AU - Lanekoff, Ingela

AU - Larion, Mioara

AU - McCall, Laura Isobel

AU - Murphy, Michael

AU - Sweedler, Jonathan V.

AU - Zhu, Caigang

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AB - 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.

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Single cell metabolism: current and future trends

Abstract

Bibliographical note

Funding

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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