Project

MiniBioreactors in support of a generic metabolic platform

Code
01B05708
Duration
01 January 2009 → 31 December 2010
Funding
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Biology and other natural sciences
    • Statistics
    • Performance modelling
    • Bio-informatics
    • Image processing
    • Bio-organic chemistry
    • Analytical biochemistry
    • Microbiomes
    • Genomics
  • Medical and health sciences
    • Clinical genetics and molecular diagnostics
    • Regulation of metabolism
    • Tissue engineering
    • Clinical genetics and molecular diagnostics
    • Nucleic acids
    • Tissue engineering
    • Clinical genetics and molecular diagnostics
    • Immunomodulation therapy
    • Other translational sciences not elsewhere classified
  • Engineering and technology
    • Biological energy
    • Thermodynamic processes
    • Biocatalysis
    • Particle design and technology
    • Chemical kinetics and thermodynamics
    • (Bio)chemical reactors
    • Microfluidics/flow chemistry
    • Tissue engineering
    • Biomedical modelling
    • Biochemical engineering
    • Molecular and cellular biomechanics
    • Environmental molecular engineering of nucleic acids and proteins
    • Biocatalysis and enzyme technology
    • Bioprocessing, bioproduction and bioproducts
    • Fermentation
    • Industrial microbiology
    • Industrial molecular engineering of nucleic acids and proteins
    • Industrial biotechnology not elsewhere classified
Keywords
minibioreactor
 
Project description

Although biotech and Meditech seem sometimes two different worlds, many techniques in the INDUSTRIAL applied le biotechnology can also be perfectly used in medical research. E & eacute; n these techniques with a generic application field is “ metabolic flux analysis (MFA) &rdquo ;. With the aid of MFA can the speeds of the reactions of the metabolic network shall be calculated, so that the relative importance of each pathway can be introduced into the overall phenotype in card. This makes it possible to obtain a detailed and comprehensive picture of the metabolic state of a cell (1). Biotech and in particular in metabolic engineering will use this information to genetic strategy & euml; designing one to increase the production of an industrially useful chemical compound. Based on this data flow can in fact be made rational decisions to eliminate certain genes, introducing or overexpressing them. As a result, as to obtain a production strain which produces a desired chemical compound in a large extent (2). This technique is used by the research group of prof. Soetaert to the efficiency of the production of succinate and other C4 acids, where many industrial demand for is increasing.