代谢组学
计算生物学
鉴定(生物学)
领域(数学)
细胞
单细胞分析
生物
生化工程
计算机科学
纳米技术
数据科学
生物信息学
生物化学
工程类
数学
生态学
材料科学
纯数学
作者
Kyle D. G. Saunders,Holly-May Lewis,Dany J. V. Beste,Olivier Cexus,Melanie J. Bailey
标识
DOI:10.1016/j.cbpa.2023.102327
摘要
Single cell metabolomics is a rapidly advancing field of bio-analytical chemistry which aims to observe cellular biology with the greatest detail possible. Mass spectrometry imaging and selective cell sampling (e.g. using nanocapillaries) are two common approaches within the field. Recent achievements such as observation of cell–cell interactions, lipids determining cell states and rapid phenotypic identification demonstrate the efficacy of these approaches and the momentum of the field. However, single cell metabolomics can only continue with the same impetus if the universal challenges to the field are met, such as the lack of strategies for standardisation and quantification, and lack of specificity/sensitivity. Mass spectrometry imaging and selective cell sampling come with unique advantages and challenges which, in many cases are complementary to each other. We propose here that the challenges specific to each approach could be ameliorated with collaboration between the two communities driving these approaches.
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