Quantitative metabolic fluxes regulated by trans-omic networks. Issue 6 (31st March 2022)

• Record Type: Journal Article
• Authors: Ohno, Satoshi; Uematsu, Saori; Kuroda, Shinya
• Is Part Of: Biochemical journal. Volume 479:Issue 6(2022)
• Page Start: 787
• Page End: 804
• Publication Date: 2022-03-31
• Subjects: computational models -- metabolic flux -- metabolism -- trans-omics; Biochemistry -- Periodicals; 572
• DOI: 10.1042/BCJ20210596
• Languages: English
• ISSNs: 0264-6021

Abstract

Abstract : Cells change their metabolism in response to internal and external conditions by regulating the trans-omic network, which is a global biochemical network with multiple omic layers. Metabolic flux is a direct measure of the activity of a metabolic reaction that provides valuable information for understanding complex trans-omic networks. Over the past decades, techniques to determine metabolic fluxes, including 13 C-metabolic flux analysis ( 13 C-MFA), flux balance analysis (FBA), and kinetic modeling, have been developed. Recent studies that acquire quantitative metabolic flux and multi-omic data have greatly advanced the quantitative understanding and prediction of metabolism-centric trans-omic networks. In this review, we present an overview of 13 C-MFA, FBA, and kinetic modeling as the main techniques to determine quantitative metabolic fluxes, and discuss their advantages and disadvantages. We also introduce case studies with the aim of understanding complex metabolism-centric trans-omic networks based on the determination of metabolic fluxes.