Jason Walther: Difference between revisions
From OpenWetWare
Jump to navigationJump to search
No edit summary |
|||
| Line 12: | Line 12: | ||
: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. | :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. | ||
:Instationary metabolic flux analysis (IMFA) is similar to MFA with the provision that metabolite labeling is sampled and measured before the system reaches an isotopic steady state. 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 | :Instationary metabolic flux analysis (IMFA) is similar to MFA with the provision that metabolite labeling is sampled and measured before the system reaches an isotopic steady state. 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 metabolites, including intracellular intermediates, to be estimated in addition to the fluxes themselves. | ||
:I am working with the theoretical, computational, and experimental aspects of IMFA. In particular, I hope to apply IMFA to different strains of Saccharomyces cerevisiae to shed light on the metabolic impact of certain genetic modifications. | :I am working with the theoretical, computational, and experimental aspects of IMFA. In particular, I hope to apply IMFA to different strains of Saccharomyces cerevisiae to shed light on the metabolic impact of certain genetic modifications. | ||
Revision as of 10:27, 18 August 2006
Contact Information
- Jason Walther
- 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.
- Instationary metabolic flux analysis (IMFA) is similar to MFA with the provision that metabolite labeling is sampled and measured before the system reaches an isotopic steady state. 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 metabolites, including intracellular intermediates, to be estimated in addition to the fluxes themselves.
- I am working with the theoretical, computational, and experimental aspects of IMFA. In particular, I hope to apply IMFA to different strains of Saccharomyces cerevisiae to shed light on the metabolic impact of certain genetic modifications.
Education
- 2004 M.Eng. Chemical Engineering, Stanford University
- 2004 B.S. Chemical Engineering, Stanford University
Publications
- Walther JL, Bartlett DW, Chew W, Robertson CR, Hostetter TH, and Meyer TW. Downloadable computer models for renal replacement therapy. Kidney Int 2006 Mar; 69(6) 1056-63. doi:10.1038/sj.ki.5000196 pmid:16528255. PubMed HubMed [1]
