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Research Program

Current Projects

Research Methods

Research Interests

The Antoniewicz lab is addressing challenges in modern life sciences using tools and techniques from Metabolic Engineering and Systems Biology. Our interests range from looking at model microbial systems, i.e. Saccharomyces cerevisiae and Escherichia coli, to investigations of mammalian cells such as hepatocytes, adipocytes and myocytes. Beyond large-scale identification of interactions and transcriptional control of network operations in isolated cells, we develop technologies for studying disease phenotypes at the whole organism level. Currently, our group is actively investigating the following topics:

Mammalian cells research : Microbial cells research :

  • Diabetes
  • Insulin resistance
  • Glucose and energy homeostasis
  • Liver and adipose metabolism

  • Biofuels
  • Renewable energy
  • Optimization of metabolic pathways
  • Solvent tolerance
    of microbes



Current Projects



Research Methods

To accomplish our research goals we make use of a diverse array of scientific tools:

  • Metabolic Engineering
    Experimental techniques for modulating metabolic fluxes, either directly using gene overexpression/knockout techniques, or indirectly by modulating regulation of cellular function using combinatorial methods. Learn More>>

  • Systems Biology
    Computational tools for constructing and analyzing genome-scale cellular models, and techniques for analyzing large volumes of biological data generated by microarrays and other "omics" technologies. Learn More>>

  • Metabolic Flux Analysis
    Experimental and computational techniques for quantifying metabolic fluxes in vivo using stable-isotope labeling experiments and (tandem) mass spectrometry measurements. These tools are applied to study metabolic reaction networks and control structures in model microbes and mammalian cells. Learn More>>

  • Elementary Metabolite Units
    Advanced theoretical and computational methods are developed in our laboratory for modeling labeling distributions in steady-state and dynamic systems, based on the concept of elementary metabolite units (EMU). Learn More>>

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RESEARCH AREAS
  • Biofuels
  • Diabetes