It Is All about MetabolicFluxes

In the field of genomics there has been a move towards the development of novel experimental techniques that enable analysis of all components of a certain kind in a biological system, and this has resulted in the appearance of new methods for analyzing the omes.Obviously, in a given cellular system

[1]  G. Stephanopoulos,et al.  Metabolic flux distributions in Corynebacterium glutamicum during growth and lysine overproduction , 2000, Biotechnology and bioengineering.

[2]  J Villadsen,et al.  Metabolic flux distributions in Penicillium chrysogenum during fed‐batch cultivations , 1995, Biotechnology and bioengineering.

[3]  H Sahm,et al.  Determination of the fluxes in the central metabolism of Corynebacterium glutamicum by nuclear magnetic resonance spectroscopy combined with metabolite balancing , 1996, Biotechnology and bioengineering.

[4]  A. Böhmer,et al.  Macrolides and community-acquired pneumonia: is quorum sensing the key? , 2010, Critical care.

[5]  M. Reuss,et al.  In vivo analysis of metabolic dynamics in Saccharomyces cerevisiae: II. Mathematical model. , 1997, Biotechnology and bioengineering.

[6]  W. Wiechert,et al.  Bidirectional reaction steps in metabolic networks: I. Modeling and simulation of carbon isotope labeling experiments. , 1997, Biotechnology and bioengineering.

[7]  W. Wiechert,et al.  Bidirectional reaction steps in metabolic networks: II. Flux estimation and statistical analysis. , 1997, Biotechnology and bioengineering.

[8]  B. Christensen,et al.  Isotopomer analysis using GC-MS. , 1999, Metabolic engineering.

[9]  U. Sauer,et al.  Bioreaction network topology and metabolic flux ratio analysis by biosynthetic fractional 13C labeling and two-dimensional NMR spectroscopy. , 1999, Metabolic engineering.

[10]  B. Palsson,et al.  The Escherichia coli MG1655 in silico metabolic genotype: its definition, characteristics, and capabilities. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[11]  B. Palsson,et al.  Assessment of the metabolic capabilities of Haemophilus influenzae Rd through a genome-scale pathway analysis. , 2000, Journal of theoretical biology.

[12]  B O Palsson,et al.  Metabolic modeling of microbial strains in silico. , 2001, Trends in biochemical sciences.

[13]  W. Wiechert.  13C metabolic flux analysis. , 2001, Metabolic engineering.

[14]  J. Nielsen,et al.  Network Identification and Flux Quantification in the Central Metabolism of Saccharomyces cerevisiae under Different Conditions of Glucose Repression , 2001, Journal of bacteriology.

[15]  U. Sauer,et al.  Central carbon metabolism of Saccharomyces cerevisiae explored by biosynthetic fractional (13)C labeling of common amino acids. , 2001, European journal of biochemistry.

[16]  Jens Nielsen,et al.  Analysis of flux estimates based on (13)C-labelling experiments. , 2002, European journal of biochemistry.

[17]  J. Nielsen,et al.  Metabolic network analysis of an adipoyl-7-ADCA-producing strain of Penicillium chrysogenum: elucidation of adipate degradation. , 2002, Metabolic engineering.

[18]  Lisbeth Olsson,et al.  An expanded role for microbial physiology in metabolic engineering and functional genomics: moving towards systems biology. , 2002, FEMS yeast research.

[19]  G. Church,et al.  Genome-Scale Metabolic Model of Helicobacter pylori 26695 , 2002, Journal of bacteriology.

[20]  B. Palsson,et al.  Large-scale evaluation of in silico gene deletions in Saccharomyces cerevisiae. , 2003, Omics : a journal of integrative biology.

[21]  L. Fulton,et al.  Finding Functional Features in Saccharomyces Genomes by Phylogenetic Footprinting , 2003, Science.

[22]  Jens Nielsen,et al.  Identification of In Vivo Enzyme Activities in the Cometabolism of Glucose and Acetate by Saccharomyces cerevisiae by Using 13C-Labeled Substrates , 2003, Eukaryotic Cell.

[23]  B. Palsson,et al.  Genome-scale reconstruction of the Saccharomyces cerevisiae metabolic network. , 2003, Genome research.

[24]  B. Palsson,et al.  Saccharomyces cerevisiae phenotypes can be predicted by using constraint-based analysis of a genome-scale reconstructed metabolic network , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[25]  H. Mori,et al.  Responses of theCentral Metabolism in Escherichia coli to PhosphoglucoseIsomerase and Glucose-6-Phosphate DehydrogenaseKnockouts , 2003, Journal of bacteriology.

[26]  Bernhard Ø. Palsson,et al.  Escherichia coli Constraint-Based In Silico Models of Thirteen Years of Building , 2003 .

[27]  Preben Krabben,et al.  Metabolic flux and metabolic network analysis of Penicillium chrysogenum using 2D [13C, 1H] COSY NMR measurements and cumulative bondomer simulation. , 2003, Biotechnology and bioengineering.