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.

Damiani, C., Gaglio, D., Sacco, E., Alberghina, L., Vanoni, M. (2020). Systems metabolomics: from metabolomic snapshots to design principles. CURRENT OPINION IN BIOTECHNOLOGY, 63, 190-199 [10.1016/j.copbio.2020.02.013].

Systems metabolomics: from metabolomic snapshots to design principles

Damiani C.
Primo
;
Gaglio D.;Sacco E.;Alberghina L.;Vanoni M.
Ultimo
2020

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.
Articolo in rivista - Review Essay
systems metabolomics, systems biology, metabolism, Artificial Intelligence
English
2020
63
190
199
open
Damiani, C., Gaglio, D., Sacco, E., Alberghina, L., Vanoni, M. (2020). Systems metabolomics: from metabolomic snapshots to design principles. CURRENT OPINION IN BIOTECHNOLOGY, 63, 190-199 [10.1016/j.copbio.2020.02.013].
File in questo prodotto:
File Dimensione Formato  
Damiani-2020-Curr Opinion Biotechnol-VoR.pdf

accesso aperto

Tipologia di allegato: Publisher’s Version (Version of Record, VoR)
Licenza: Creative Commons
Dimensione 1.26 MB
Formato Adobe PDF
1.26 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/283561
Citazioni
  • Scopus 39
  • ???jsp.display-item.citation.isi??? 33
Social impact