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

52 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 F32-AI286447 Cydney N. Johnson Diseases National Institute of Allergy and Infectious R01AI168214 Jason W. Rosch Diseases National Institute of Allergy and Infectious P30 Cydney N. Johnson Diseases National Institute of Allergy and Infectious R00-AI166116 Christopher D. Radka Diseases National Institute of Allergy and Infectious T32-AI106700 Cydney N. Johnson Diseases National Institute of Allergy and Infectious R01AI192221 Jason W. Rosch Diseases National Inst...	R21AI148886, R21AI156669, R01AI168038
National Institute on Drug Abuse	P30DA018310
National Institute of General Medical Sciences DP2GM119177 Sophie Dumont National Institute of General Medical Sciences	P20GM121327
Pharmaceutical Research and Manufacturers of America Foundation	45188

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Metabolic imaging
Single cell metabolism
Spatial metabolomics

ASJC Scopus subject areas

Endocrinology, Diabetes and Metabolism
Biochemistry
Clinical Biochemistry

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 - Lane, Andrew N.

AU - Lanekoff, Ingela

AU - Larion, Mioara

AU - McCall, Laura Isobel

AU - Murphy, Michael

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Single cell metabolism: current and future trends

Abstract

Bibliographical note

Funding

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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