Jason Walther

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== Publications ==
== Publications ==
#2 pmid=16528255
#1 pmid=16528255
#1 pmid=16014068
#2 pmid=16014068

Revision as of 11:44, 15 March 2006


Contact Information

Laboratory for Bioinformatics and Metabolic Engineering
Department of Chemical Engineering
Building 56, Room 422
77 Massachusetts Avenue
Cambridge, MA 02139
Phone: (617) 253-6591
Fax: (617) 253-7181

Research Interests

The goal of metabolic flux analysis (MFA) is the quantitative determination of all intracellular fluxes in a system of interest. Results are obtained by introducing a labeled substrate (usually a labeled carbon source) into a cell culture, measuring relative labeling in metabolic byproducts, and computationally processing these measurements to arrive at fluxes. Various computational techniques have been developed for flux analysis of isotopically stationary systems (Wiechert et al., 1999; Antoniewicz et al., 2006). These methods require that enough time elapse following the introduction of labeled substrate so that metabolites of the cells under study reach a constant state of isotopic labeling.
I aim to (1) adapt one of these previous models such that it can generate fluxes for isotopically instationary systems and (2) apply this new instationary model to an engineered strain of E. coli. Instationary metabolic flux analysis (IMFA), though computationally more complex, claims several advantages over its stationary analog. First, the amount of prohibitively expensive labeled substrate required for an experiment is greatly reduced. Second, the duration of such an experiment is considerably shortened, adding credibility to the metabolic steady-state assumption necessary for all flux analyses. Third, instationary flux analysis allows the pool sizes of all metabolites, including intracellular intermediates, to be estimated in addition to the fluxes themselves.


2004 M.Eng. Chemical Engineering, Stanford University
2004 B.S. Chemical Engineering, Stanford University


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  1. Error fetching PMID 16528255: [1]
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