13C metabolic flux analysis in complex systems

被引:113
作者
Zamboni, Nicola [1 ]
机构
[1] Swiss Fed Inst Technol, Inst Mol Syst Biol, CH-8093 Zurich, Switzerland
关键词
FATTY-ACID SYNTHESIS; MASS-SPECTROMETRY; CAPILLARY-ELECTROPHORESIS; INTRACELLULAR METABOLITES; LABELING EXPERIMENTS; BACILLUS-SUBTILIS; ESCHERICHIA-COLI; ISOTOPOMER; CULTURE; CELLS;
D O I
10.1016/j.copbio.2010.08.009
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Experimental determination of in vivo metabolic rates by methods of C-13 metabolic flux analysis is a pivotal approach to unravel structure and regulation of metabolic networks, in particular with microorganisms grown in minimal media. However, the study of real-life and eukaryotic systems calls for the quantification of fluxes also in cellular compartments, rich media, cell-wide metabolic networks, dynamic systems or single cells. These scenarios drastically increase the complexity of the task, which is only partly dealt by existing approaches that rely on rigorous simulations of label propagation through metabolic networks and require multiple labeling experiments or a priori information on pathway inactivity to simplify the problem. Albeit qualitative and largely driven by human interpretation, statistical analysis of measured C-13-patterns remains the exclusive alternative to comprehensively handle such complex systems. In the future, this practice will be complemented by novel modeling frameworks to assay particular fluxes within a network by stable isotopic tracer for targeted validation of well-defined hypotheses.
引用
收藏
页码:103 / 108
页数:6
相关论文
共 53 条
[1]   Compartment-specific labeling information in 13C metabolic flux analysis of plants [J].
Allen, Doug K. ;
Shachar-Hill, Yalr ;
Ohlrogge, John B. .
PHYTOCHEMISTRY, 2007, 68 (16-18) :2197-2210
[2]   Understanding fatty acid synthesis in developing maize embryos using metabolic flux analysis [J].
Alonso, Ana Paula ;
Dale, Val L. ;
Shachar-Hill, Yair .
METABOLIC ENGINEERING, 2010, 12 (05) :488-497
[3]   Mass spectrometric method for analyzing metabolites in yeast with single cell sensitivity [J].
Amantonico, Andrea ;
Oh, Joo Yeon ;
Sobek, Jens ;
Heinemann, Matthias ;
Zenobi, Renato .
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 2008, 47 (29) :5382-5385
[4]   Evaluation of regression models in metabolic physiology: predicting fluxes from isotopic data without knowledge of the pathway [J].
Antoniewicz, Maciek R. ;
Stephanopoulos, Gregory ;
Kelleher, Joanne K. .
METABOLOMICS, 2006, 2 (01) :41-52
[5]   Metabolic flux distributions: genetic information, computational predictions, and experimental validation [J].
Blank, Lars M. ;
Kuepfer, Lars .
APPLIED MICROBIOLOGY AND BIOTECHNOLOGY, 2010, 86 (05) :1243-1255
[6]   Metabolic flux analysis with a comprehensive isotopomer model in Bacillus subtilis [J].
Dauner, M ;
Bailey, JE ;
Sauer, U .
BIOTECHNOLOGY AND BIOENGINEERING, 2001, 76 (02) :144-156
[7]   From fluxes and isotope labeling patterns towards in silico cells [J].
Dauner, Michael .
CURRENT OPINION IN BIOTECHNOLOGY, 2010, 21 (01) :55-62
[8]   Beyond aerobic glycolysis: Transformed cells can engage in glutamine metabolism that exceeds the requirement for protein and nucleotide synthesis [J].
DeBerardinis, Ralph J. ;
Mancuso, Anthony ;
Daikhin, Evgueni ;
Nissim, Ilana ;
Yudkoff, Marc ;
Wehrli, Suzanne ;
Thompson, Craig B. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2007, 104 (49) :19345-19350
[9]   Review - Mass spectrometry and protein analysis [J].
Domon, B ;
Aebersold, R .
SCIENCE, 2006, 312 (5771) :212-217
[10]   Carbon metabolism of intracellular bacterial pathogens and possible links to virulence [J].
Eisenreich, Wolfgang ;
Dandekar, Thomas ;
Heesemann, Juergen ;
Goebel, Werner .
NATURE REVIEWS MICROBIOLOGY, 2010, 8 (06) :401-412