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@ARTICLE{Bey:893310,
      author       = {Beyß, Martin and Parra-Peña, Victor D. and
                      Ramirez-Malule, Howard and Nöh, Katharina},
      title        = {{R}obustifying {E}xperimental {T}racer {D}esign
                      for13{C}-{M}etabolic {F}lux {A}nalysis},
      journal      = {Frontiers in Bioengineering and Biotechnology},
      volume       = {9},
      issn         = {2296-4185},
      address      = {Lausanne},
      publisher    = {Frontiers Media},
      reportid     = {FZJ-2021-02684},
      pages        = {685323},
      year         = {2021},
      abstract     = {13C metabolic flux analysis (MFA) has become an
                      indispensable tool to measure metabolic reaction rates
                      (fluxes) in living organisms, having an increasingly diverse
                      range of applications. Here, the choice of the13C labeled
                      tracer composition makes the difference between an
                      information-rich experiment and an experiment with only
                      limited insights. To improve the chances for an informative
                      labeling experiment, optimal experimental design approaches
                      have been devised for13C-MFA, all relying on some a priori
                      knowledge about the actual fluxes. If such prior knowledge
                      is unavailable, e.g., for research organisms and producer
                      strains, existing methods are left with a chicken-and-egg
                      problem. In this work, we present a general computational
                      method, termed robustified experimental design (R-ED), to
                      guide the decision making about suitable tracer choices when
                      prior knowledge about the fluxes is lacking. Instead of
                      focusing on one mixture, optimal for specific flux values,
                      we pursue a sampling based approach and introduce a new
                      design criterion, which characterizes the extent to which
                      mixtures are informative in view of all possible flux
                      values. The R-ED workflow enables the exploration of
                      suitable tracer mixtures and provides full flexibility to
                      trade off information and cost metrics. The potential of the
                      R-ED workflow is showcased by applying the approach to the
                      industrially relevant antibiotic producer Streptomyces
                      clavuligerus, where we suggest informative, yet economic
                      labeling strategies.},
      cin          = {IBG-1},
      ddc          = {570},
      cid          = {I:(DE-Juel1)IBG-1-20101118},
      pnm          = {2171 - Biological and environmental resources for
                      sustainable use (POF4-217)},
      pid          = {G:(DE-HGF)POF4-2171},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {34239861},
      UT           = {WOS:000669856700001},
      doi          = {10.3389/fbioe.2021.685323},
      url          = {https://juser.fz-juelich.de/record/893310},
}