TY - JOUR
T1 - Single cell metabolism
T2 - current and future trends
AU - Ali, Ahmed
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
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2022/10
Y1 - 2022/10
N2 - 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.
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.
KW - Metabolic imaging
KW - Single cell metabolism
KW - Spatial metabolomics
UR - http://www.scopus.com/inward/record.url?scp=85139267021&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85139267021&partnerID=8YFLogxK
U2 - 10.1007/s11306-022-01934-3
DO - 10.1007/s11306-022-01934-3
M3 - Review article
C2 - 36181583
AN - SCOPUS:85139267021
SN - 1573-3882
VL - 18
JO - Metabolomics
JF - Metabolomics
IS - 10
M1 - 77
ER -