Dan Evans Career Development Associate Professor of Chemical Engineering
Adjunct Associate Professor of Bioengineering;
Affiliated Investigator, NSF Synthetic Biology Engineering Research Center
Office: Molecular Engineering & Sciences Institute, Room 322
- B.S., Yale University, Molecular Biophysics and Biochemistry, 1998
- Ph.D., Harvard University, Biological Chemistry and Molecular Pharmacology, 2005.
- University of California, Berkeley, Jane Coffin Childs Research Fellow, 2006-2009
- Fundamental and applied synthetic biology
- RNA engineering
- Genetic control system design
Fundamental and applied synthetic biology
Through the careful application of genetic engineering, synthetic biological systems can be constructed to harness the biotransformation potential of living organisms. In an era of genome-scale DNA assembly, the lack of accompanying technologies for the functional design and physical implementation of novel biological devices and systems with predictable behaviors is striking. We are interested in developing designable genetic control systems to significantly increase the sizes and complexities of the synthetic biological systems that can be engineered. In our work, we combine biochemical and biophysical modeling, computational design and analysis, in vitro selection, and genetic engineering to construct RNA-based control systems in microbes and mammalian cells. We organize our efforts around application testbeds chosen to enable better understanding of biological principles and to address unmet needs for renewable chemicals, therapeutic tissues, and low-cost global health materials.
In nature, functional RNA structures process cellular information and regulate genetic expression at the levels of transcription, translation and RNA degradation. While the molecular recognition properties and control functions of protein regulators can be challenging to predictably modify, in vitro selection can be used to evolve informationally-complex RNA structures that bind target molecules (aptamers) or catalyze specific reactions (ribozymes). We use in vitro selection to generate synthetic ligand-binding aptamers, catalytic ribozymes, and ligand-controlled ribozymes (aptazymes) that we assemble into static or dynamic, ligand-responsive genetic control devices. Because these RNA devices can be designed to meet targeted performance criteria, we can engineer them as programmable biosensors, controllers for metabolic pathways and genetic circuits, and as components for information transfer systems.
Genetic control system design
Functional complexity that emerges from component interactions is a universal feature of physical systems. As a consequence, models and tools for simulating global functions from local component behaviors are essential for understanding and constructing complex devices and systems. Biological systems exhibit functional complexity across multiple scales, from the interactions of RNA, DNA, and protein subunits to those occurring among genes, pathways, circuits, and cells. Creating design-driven approaches applicable to each of these scales will be crucial for increasing the sizes and complexities of engineered synthetic biological systems. When we are successful, our work will facilitate the rapid assembly of specialized RNA-regulated genetic control circuits and scalable information processing mechanisms for programming biological function in response to changing cellular and environmental conditions. Ultimately, we expect our efforts to lead to full-fledged CAD platforms that dramatically improve the efficacy with which complex synthetic biological systems can be engineered and provide routes to investigate fundamental questions about functional RNAs and the role of information and control in biology.
- Zhang, F., Carothers, J.M., and Keasling, J.D. Design of a dynamic sensor-regulator system for production of fatty acid-based chemicals and fuels. Nature Biotechnol 2012, 30, pp. 354-359.
- Carothers, J.M., Goler, J.A., Juminaga, D., and Keasling, J.D. Model-driven engineering of RNA devices to quantitatively-program gene expression. Science 2011, 224, pp.1716-1719.
- Carothers, J.M., Goler, J.A., Kapoor, R., Lara, L., and Keasling, J.D. Selecting aptamers for synthetic biology: investigating magnesium dependence and predicting binding affinity. Nucl. Acids Res. 2010, 38, pp. 2736-2747.
- Carothers, J.M., Goler, J.A., and Keasling, J.D. Chemical synthesis using synthetic biology. Curr. Opin. Biotechnol. 2009, 20, pp. 498-503.
- Hazen, R.M., Griffin, P.L., Carothers, J.M., and Szostak, J.W. Functional information and the emergence of biocomplexity. Proc. Natl. Acad. Sci. 2007,104, 8574-8581.
- Carothers, J.M. and Szostak, J.W. In vitro selection of functional oligonucleotides and the origins of biochemical activity. In The Aptamer Handbook Funcational Oligonucleotides and Their Applications (ed. S. Klussmann). Springer-Verlag Press, Berlin: 2006, 3-28.
- Carothers, J.M., Oestreich, S.C., and Szostak, J.W. Aptamers selected for higher-affinity binding are not more specific for the target ligand. J. Am. Chem. Soc. 2006, 128, 7929-7937.
- Carothers, J.M., Davis, J.H., Chou, J.J., and Szostak, J.W. Solution structure of an informationally-complex high-affinity RNA aptamer to GTP. RNA 2006,12: 567-579
- Plummer, K.A., Carothers, J.M., Yoshimur, M., Szostak, J.W., and Verdine, G.L. In vitro selection of RNA aptamer against a composite small molecule-protein surface. Nucl. Acids Res. 2005, 33, pp. 5602-10.
- Carothers, J.M., Oestreich, S.C., Davis, J.H., and Szostak, J.W. Informational complexity and functional activity of RNA structures. J. Am. Chem. Soc. 2004, 12: pp. 5130-5137.
- Kopp, E., Medzhitov, R., Carothers, J., Xiao, C., Douglas, I., Janeway, C.A., and Ghosh, S. ECSIT is an evolutionarily conserved intermediate in the Toll/IL-1 signal transduction pathway. Genes Develop. 1999, 13: pp. 2059-2071.