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The Antoniewicz lab is addressing major challenges in modern life sciences using tools and techniques from Metabolic Engineering and Systems Biology. Our interests range from investigating model microbial systems, e.g., S. cerevisiae, E. coli, C. acetobutylicum, to analysis of mammalian systems 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, we are active the following two areas:
| 1 - Diabetes (mammalian cells) |
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2 - Biofuels (microbial cells) |
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- Diabetes
- Glucose and energy homeostasis
- Insulin resistance
- Liver and adipose metabolism
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- Biofuels
- Renewable energy
- Optimization of metabolic pathways
- Solvent tolerance
- Thermophiles
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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, and indirectly by modulating regulation of cellular function using combinatorial methods. [Read 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. [Read 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. [Read 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). [Read More]
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