Figure 3.
![(A) Gerosa et al. [104]. Metabolic fluxes in E. coli during exponential growth on eight different carbon sources were determined by 13C-MFA, and regulatory events in metabolisms that drive adaptation of metabolic fluxes between two carbon courses were inferred. (B) Ohno et al. [6]. Metabolic flux changes over time in cultured adipocytes with or without insulin were determined by advanced 13C-MFA applicable to non-steady-state conditions, and regulatory events in the metabolism that drive insulin-induced changes in metabolic flux in adipocytes were inferred.](https://port.silverchair-cdn.com/port/content_public/journal/biochemj/479/6/10.1042_bcj20210596/1/bcj-2021-0596c.03.png?Expires=1716966050&Signature=sUfpKfJ7pDLgzWXsFvSzW76fpuTMIKmeDsxl4iGWVHA5T9xcDI5LJx8z0FOpufhQr~qZ4jQx3bUZVbv4fRiadpuGnPSEs9JNfx9lREH2T5tBxiuZukDuO-6bCb~4BtEij8wLWdUW51GPMi~WhGd~De8nJXUoRB-ncVgzE7rrMIjCbaHM7TCWGZsK88FfhpRA1RlWgNZ6wSSybBz1MKW5WqFiT~BG-kMhXAHFmHOxZwS9oV85K5XwmmHhkI2QiWkDHWxxa4x7fyFWmR9HPnzTzo2ucz9NVT3llWFQdgSUWiHpUt59Rg35QHXcaST2UHHt7h5OOzjpKq~LFBCUbko5kg__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA)
Approaches based on 13C-MFA to understand metabolism-centric trans-omic networks.
(A) Gerosa et al. [104]. Metabolic fluxes in E. coli during exponential growth on eight different carbon sources were determined by 13C-MFA, and regulatory events in metabolisms that drive adaptation of metabolic fluxes between two carbon courses were inferred. (B) Ohno et al. [6]. Metabolic flux changes over time in cultured adipocytes with or without insulin were determined by advanced 13C-MFA applicable to non-steady-state conditions, and regulatory events in the metabolism that drive insulin-induced changes in metabolic flux in adipocytes were inferred.