| Literature DB >> 36181583 |
Ahmed Ali1, Shawn Davidson2, Ernest Fraenkel3, Ian Gilmore4, Thomas Hankemeier5, Jennifer A Kirwan6, Andrew N Lane7, Ingela Lanekoff8, Mioara Larion9, Laura-Isobel McCall10, Michael Murphy11, Jonathan V Sweedler12, Caigang Zhu13.
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.Entities:
Keywords: Metabolic imaging; Single cell metabolism; Spatial metabolomics
Mesh:
Year: 2022 PMID: 36181583 DOI: 10.1007/s11306-022-01934-3
Source DB: PubMed Journal: Metabolomics ISSN: 1573-3882 Impact factor: 4.747