Subcellular metabolomics: Isolation, measurement, and applications
Subcellular metabolomics: Isolation, measurement, and applications
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亚细胞代谢组学：分离、测量和应用
DOI：
10.1016/j.jpba.2021.114557
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Zhang P
中科院分区：
文献类型：
--
作者：
Qin S;Zhang Y;Tian Y;Xu F;Zhang P
代谢组学是一种分析生物样品中全局小分子的技术，已成为疾病诊断和机制研究的重要工具。代谢组学中的样本类型涵盖范围很广，包括各种体液、组织和细胞。然而，很少有人注意到细胞中较小的，相对独立的分区系统，即细胞器。细胞器是特定的隔室/地方，其中各种代谢活动以有序的方式发生。细胞器的代谢紊乱被发现发生在各种病理条件下，如遗传性代谢疾病、糖尿病、癌症和神经退行性疾病。然而，在细胞水平上，细胞器和细胞质的代谢结果相互叠加，使得难以描述亚细胞区室的变化。因此，表征区室化系统中的代谢池对于理解细胞器在生理功能和疾病中的作用具有重要意义。到目前为止，有关亚细胞代谢组学的研究文章或综述很少。本文系统地综述了亚细胞分离和代谢物分析方法，以及亚细胞代谢组学在生理和病理研究中的应用，为促进亚细胞代谢组学的持续发展提供实用参考。
Metabolomics, a technique that profiles global small molecules in biological samples, has been a pivotal tool for disease diagnosis and mechanism research. The sample type in metabolomics covers a wide range, including a variety of body fluids, tissues, and cells. However, little attention was paid to the smaller, relatively independent partition systems in cells, namely the organelles. The organelles are specific compartments/places where diverse metabolic activities are happening in an orderly manner. Metabolic disorders of organelles were found to occur in various pathological conditions such as inherited metabolic diseases, diabetes, cancer, and neurodegenerative diseases. However, at the cellular level, the metabolic outcomes of organelles and cytoplasm are superimposed interactively, making it difficult to describe the changes in subcellular compartments. Therefore, characterizing the metabolic pool in the compartmentalized system is of great significance for understanding the role of organelles in physiological functions and diseases. So far, there are very few research articles or reviews related to subcellular metabolomics. In this review, subcellular fractionation and metabolite analysis methods, as well as the application of subcellular metabolomics in the physiological and pathological studies are systematically reviewed, as a practical reference to promote the continued advancement in subcellular metabolomics.