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    Genome Biol. 2004;5(12):R99. Epub 2004 Nov 16.

    Model-independent fluxome profiling from 2H and 13C experiments for metabolic variant discrimination.

    Zamboni N, Sauer U.

    Source

    Institute of Biotechnology, ETH Zürich, CH-8093 Zürich, Switzerland. nzamboni@stanford.edu <nzamboni@stanford.edu>

    Abstract

    We introduce a conceptually novel method for intracellular fluxome profiling from unsupervised statistical analysis of stable isotope labeling. Without a priori knowledge on the metabolic system, we identified characteristic flux fingerprints in 10 Bacillus subtilis mutants from 132 2H and 13C tracer experiments. Beyond variant discrimination, independent component analysis automatically mapped several fingerprints to their metabolic determinants. The approach is flexible and paves the way to large-scale fluxome profiling of any biological system and condition.

    PMID:
    15575973
    [PubMed - indexed for MEDLINE]
    PMCID: PMC545802
    Free PMC Article

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