Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/104496
Author(s): Luciana Calheiros Gomes
Manuel Simões
Title: 13C metabolic flux analysis: From the principle to recent applications
Issue Date: 2012
Abstract: Metabolic flux analysis (MFA) has become a fundamental tool for quantifying metabolic pathways, which is essential for in-depth understanding of biological systems. In experimentally based MFA, isotopically labeled substrates are supplied to a biological system and the resulting labeling patterns are analyzed to obtain internal flux information. Three main techniques are necessary for C-13 MFA: (i) a steady state cell culture in a defined medium with C-13 substrates; (ii) precise measurements of the labeling pattern of targeted metabolites by nuclear magnetic resonance (NMR) or mass spectrometry (MS); (iii) mathematical modeling for experimental design, data processing and flux calculation. Recently, important technical advances have been made. The high costs of labeled substrates generate a demand for small cell cultivation volumes. The development of analytical instruments allows the measurement of C-13 enrichments with high accuracy and sensitivity. Moreover, powerful flux calculation algorithms have reduced computational efforts. Dynamic labeling experiments are also opening new possibilities for the investigation of specific pathways. While MFA is quite widely established in the study of microbial physiology, it is still a challenge to apply MFA to mammalian cells and plants. However, C-13 MFA techniques are continuously enhanced to better discern compartmentalized behaviors, which can help to characterize diseased metabolic states and improve metabolic engineering efforts in plants and other complex systems. The main objective of this work is to present the basic experimental and analytical methods of C-13 MFA, as well as representative examples of the latest approaches and findings of MFA in microorganisms, mammalian cells and plants.
Subject: Matemática
Mathematics
Scientific areas: Ciências exactas e naturais::Matemática
Natural sciences::Mathematics
URI: https://hdl.handle.net/10216/104496
Related Information: info:eu-repo/grantAgreement/FCT - Fundação para a Ciência e Tecnologia/Programa de Financiamento Plurianual de Unidades de I&D/FCOMP-01-0124-FEDER-022677/PROJECTO ESTRATÉGICO - UI 511 - 2011-2012/PEst-C/EQB/UI0511/2011
Document Type: Artigo em Revista Científica Internacional
Rights: restrictedAccess
Appears in Collections:FEUP - Artigo em Revista Científica Internacional

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