Department of Biotechnology and Biosciences, University of Milano-Bicocca, Piazza della Scienza 2, 20126 Milan, Italy; ISBE.IT, SYSBIO Centre of Systems Biology, Piazza della Scienza 2, Milan 20126, Italy.
ISBE.IT, SYSBIO Centre of Systems Biology, Piazza della Scienza 2, Milan 20126, Italy; Institute of Molecular Bioimaging and Physiology (IBFM), National Research Council (CNR), Segrate, Milan, Italy.
Curr Opin Biotechnol. 2020 Jun;63:190-199. doi: 10.1016/j.copbio.2020.02.013. Epub 2020 Apr 8.
Metabolomics is a rapidly expanding technology that finds increasing application in a variety of fields, form metabolic disorders to cancer, from nutrition and wellness to design and optimization of cell factories. The integration of metabolic snapshots with metabolic fluxes, physiological readouts, metabolic models, and knowledge-informed Artificial Intelligence tools, is required to obtain a system-level understanding of metabolism. The emerging power of multi-omic approaches and the development of integrated experimental and computational tools, able to dissect metabolic features at cellular and subcellular resolution, provide unprecedented opportunities for understanding design principles of metabolic (dis)regulation and for the development of precision therapies in multifactorial diseases, such as cancer and neurodegenerative diseases.
代谢组学是一项快速发展的技术，在多种领域得到越来越广泛的应用，包括代谢紊乱到癌症，从营养和健康到细胞工厂的设计和优化。为了获得对代谢的系统理解，需要将代谢快照与代谢通量、生理读数、代谢模型和知识驱动的人工智能工具相结合。多组学方法的新兴力量和集成实验与计算工具的发展，能够在细胞和亚细胞分辨率上剖析代谢特征，为理解代谢（失调）调节的设计原则以及开发多因素疾病（如癌症和神经退行性疾病）的精准治疗提供了前所未有的机会。
