代谢组学
计算生物学
细胞器
生物
生物信息学
细胞生物学
作者
Victor Ruiz‐Rodado,Adrian Lita,Mioara Larion
出处
期刊:Nature Methods
[Nature Portfolio]
日期:2022-08-25
卷期号:19 (9): 1048-1063
被引量:31
标识
DOI:10.1038/s41592-022-01572-6
摘要
Characterizing metabolism in cancer is crucial for understanding tumor biology and for developing potential therapies. Although most metabolic investigations analyze averaged metabolite levels from all cell compartments, subcellular metabolomics can provide more detailed insight into the biochemical processes associated with the disease. Methodological limitations have historically prevented the wider application of subcellular metabolomics in cancer research. Recently, however, ways to distinguish and identify metabolic pathways within organelles have been developed, including state-of-the-art methods to monitor metabolism in situ (such as mass spectrometry-based imaging, Raman spectroscopy and fluorescence microscopy), to isolate key organelles via new approaches and to use tailored isotope-tracing strategies. Herein, we examine the advantages and limitations of these developments and look to the future of this field of research.
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