% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Nh:57502,
      author       = {Nöh, K. and Grönke, K. and Luo, B. and Takors, R. and
                      Oldiges, M. and Wiechert, W.},
      title        = {{M}etabolic flux analysis at ultra short time scale:
                      {I}sotopically non-stationary 13{C} labeling experiments},
      journal      = {Journal of biotechnology},
      volume       = {129},
      issn         = {0168-1656},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {PreJuSER-57502},
      pages        = {249 - 267},
      year         = {2007},
      note         = {Record converted from VDB: 12.11.2012},
      abstract     = {A novel approach to (13)C metabolic flux analysis (MFA) is
                      presented using cytosolic metabolite pool sizes and their
                      (13)C labeling data from an isotopically non-stationary
                      (13)C labeling experiment (INST-CLE). The procedure is
                      demonstrated with an E. coli wild type strain grown at fed
                      batch conditions. The intra cellular labeling dynamics are
                      excited by a sudden step increase of the (13)C portion in
                      the substrate feed. Due to unchanged saturation of the
                      substrate uptake system, the metabolic fluxes remain
                      constant during the following sampling time period of only
                      16s, in which 20 samples are taken by an automated rapid
                      sampling device immediately stopping metabolism by methanol
                      quenching. Subsequent cell disruptive sample preparation and
                      LC-MS/MS enabled simultaneous determination of pool sizes
                      and mass isotopomers of intra cellular metabolites requiring
                      detection limits in the nM range. Based on this data the new
                      computational flux analysis tool 13CFLUX/INST is used to
                      determine the intra cellular fluxes based on a complex
                      carbon labeling network model. The measured data is in good
                      agreement with the model predictions, thus proving the
                      applicability of the new isotopically non-stationary (13)C
                      metabolic flux analysis (INST-(13)C-MFA) concept. Moreover,
                      it is shown that significant new information with respect to
                      flux identifiability, non-measurable pool sizes, data
                      consistency, or large storage pools can be taken from the
                      novel kind of experimental data. This offers new insight
                      into the biological operation of the metabolic network in
                      vivo.},
      keywords     = {Bioreactors / Carbon: metabolism / Carbon Isotopes:
                      metabolism / Chromatography, Liquid / Computational Biology:
                      methods / Computer Simulation / Escherichia coli: metabolism
                      / Fermentation: physiology / Metabolic Networks and
                      Pathways: physiology / Models, Biological / Tandem Mass
                      Spectrometry / Carbon Isotopes (NLM Chemicals) / Carbon (NLM
                      Chemicals) / J (WoSType)},
      cin          = {IBT-2},
      ddc          = {540},
      cid          = {I:(DE-Juel1)VDB56},
      pnm          = {Biotechnologie},
      pid          = {G:(DE-Juel1)FUEK410},
      shelfmark    = {Biotechnology $\&$ Applied Microbiology},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:17207877},
      UT           = {WOS:000246097000007},
      doi          = {10.1016/j.jbiotec.2006.11.015},
      url          = {https://juser.fz-juelich.de/record/57502},
}