代谢组学
计算机科学
素描
数据科学
透视图(图形)
计算生物学
生物
生物信息学
人工智能
算法
作者
Congrou Zhang,Sylvia E. Le Dévédec,Ahmed Ali,Thomas Hankemeier
标识
DOI:10.1016/j.copbio.2023.102963
摘要
Single-cell metabolomics (SCMs) is a powerful tool for studying cellular heterogeneity by providing insight into the differences between individual cells. With the development of a set of promising SCMs pipelines, this maturing technology is expected to be widely used in biomedical research. However, before SCMs is ready for primetime, there are some challenges to overcome. In this review, we summarize the trends and challenges in the development of SCMs. We also highlight the latest methodologies, applications, and sketch the perspective for integration with other omics and imaging approaches.
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