13C metabolic flux analysis: From the principle to recent applications

• Type: Article in International Scientific Journal
• Date: 2012

Authors

Luciana Calheiros Gomes (Author) FEUP; Manuel Simões (Author) FEUP

Journal

Title: Current Bioinformatics

Vol. 7 No. 1

Pages: 77-86

ISSN: 1574-8936

Publisher: Bentham

Indexing

ISI Web of Knowledge - 3 Citations

ISI Web of Science

Scopus - 6 Citations

Scientific classification

FOS: Natural sciences > Mathematics

Associated Projects

PEst-C/EQB/UI0511/2011 - PROJECTO ESTRATÉGICO - UI 511 - 2011-2012

Other information

Authenticus ID: P-002-CS9

DOI: 10.2174/157489312799304404

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10