代谢组学
蛋白质组学
代谢组
工作流程
计算生物学
系统生物学
稳健性(进化)
计算机科学
鉴定(生物学)
细胞代谢
细胞代谢
基因组学
生物
数据科学
生物信息学
细胞
基因组
新陈代谢
基因
数据库
内分泌学
植物
生物化学
遗传学
作者
Ahmed Ali,Shawn M. Davidson,Ernest Fraenkel,Ian S. Gilmore,Thomas Hankemeier,Jennifer Kirwan,Andrew N. Lane,Ingela Lanekoff,Mioara Larion,Laura‐Isobel McCall,Michael Murphy,Jonathan V. Sweedler,Caigang Zhu
出处
期刊:Metabolomics
[Springer Nature]
日期:2022-10-01
卷期号:18 (10)
被引量:16
标识
DOI:10.1007/s11306-022-01934-3
摘要
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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