Systems metabolomics: from metabolomic snapshots to design principles. (June 2020)

• Record Type: Journal Article
• Authors: Damiani, Chiara; Gaglio, Daniela; Sacco, Elena; Alberghina, Lilia; Vanoni, Marco
• Is Part Of: Current opinion in biotechnology. Volume 63(2020)
• Page Start: 190
• Page End: 199
• Publication Date: 2020-06
• Subjects: Biotechnology -- Periodicals; 660.6
• DOI: 10.1016/j.copbio.2020.02.013
• Languages: English
• ISSNs: 0958-1669

Abstract

Graphical abstract: Highlights: High content and physiological readouts allow precise definition of the system-level metabolic state of cells or tissues. Constraint-based metabolic models provide a knowledge-based opportunity to integrate bulk, single-cell and multi-omic data. Systems metabolomics combines a wide array of techniques to obtain detailed pictures of the dynamic state of metabolism. Routine clinical application requires appropriate proxy readouts designed upon identification of design principles. Abstract : 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.