Investigating genotype-phenotype relationships in Saccharomyces cerevisiae metabolic network through stoichiometric modeling

Ana Rita Brochado

    Research output: Book/ReportPh.D. thesisResearch

    1438 Downloads (Pure)

    Abstract

    A holistic view of the cell is fundamental for gaining insights into genotype to phenotype relationships. Systems Biology is a discipline within Biology, which uses such holistic approach by focusing on the development and application of tools for studying the structure and dynamics of cellular processes. Metabolism is an extensively studied and characterised subcellular system, for which several modeling approaches have been proposed over the last 20 years. Nowadays,
    stoichiometric modeling of metabolism is done at the genome scale and it has diverse applications, many of them for helping at better characterizing genotype to phenotype relationships. Metabolic Engineering is one of the fields in which the complete understanding of such relationship would have a striking impact, since phenotype prediction based on genotype is fundamental for rationally engineering metabolic networks. This chapter aims at providing the reader with relevant state-of-the-art information concerning Systems Biology, Genome-Scale
    Metabolic Modeling and Metabolic Engineering. Particular attention is given to the yeast
    Saccharomyces cerevisiae, the eukaryotic model organism used thought the thesis.
    Original languageEnglish
    PublisherDepartment of Systems Biology, Technical University of Denmark
    Number of pages165
    ISBN (Print)978-87-91494-13-0
    Publication statusPublished - Apr 2012

    Projects

    Metabolic Engineering of Vanillin Production in Saccharomyces Cerevisiae by using a Systems Biology Approach

    Brochado, A. R., Mortensen, U. H., Patil, K. R., Workman, M. & Rocha, I. C. D. A. P. D.

    Stipendie fra udlandet

    01/04/200820/08/2012

    Project: PhD

    Cite this

    Brochado, A. R. (2012). Investigating genotype-phenotype relationships in Saccharomyces cerevisiae metabolic network through stoichiometric modeling. Department of Systems Biology, Technical University of Denmark.