My research focuses on programming new cellular behaviors by designing
and embedding synthetic gene networks that perform desired functions
in single cells and multi-cellular environments. We genetically
engineer a variety of cell types including bacteria, yeast, and
mammalian stem cells. This nascent field of Synthetic Biology holds
promise for a wide range of applications such as programmed tissue
engineering, environmental biosensing and effecting, biomaterial
fabrication, and an improved understanding of naturally occuring
biological processes.
The construction of de-novo genetic circuits begins with the assembly
and characterization of genetic parts, or building blocks. We have
assembled a library of genetic components that regulate transcription,
translation, phosphorylation, and synthesis of and response to
signaling molecules such as acyl-homoserine lactones in bacteria and
cytokinins in Eukaryotes. We then combine these parts into various
network topologies that elicit new behaviors in a programmable
fashion. In single cells, we have constructed transcriptional
cascades and other network topologies with feedback and feed-forward
motifs. We have shown theoretically and experimentally that these
networks can perform digital computation, attenuate gene expression
noise, or exhibit analog programmed functions such as pulse
generation. Through the construction and analysis of such fundamental
network motifs, we aim to demonstrate sophisticated programmed control
over gene expression as well as improve our quantitative understanding
of naturally occurring complex gene networks.
Another major emphasis is engineering synthetic multicellular systems
through the integration of intracellular circuits with cell-cell
communication mechanisms (e.g. lux and rhl quorum sensing systems).
Beginning with simple sender-receiver systems, we have built a variety
of more sophisticated multicellular interactions for coordinated cell
behaviors. One such system is the pulse generator where sender cells
communicate to nearby receiver cells, which then respond with a
transient burst of gene expression whose amplitude and duration
depends on the distance from the senders. In another system, receiver
cells have been engineered to respond to cell-cell communication
signals from senders, but only if the signal concentrations fall
within prespecified ranges. We demonstrated experimentally how a
multicellular system that consists of several different detection
thresholds can generate a variety of interesting spatial patterns
(shown in the figures below). In a third system, cells have been
engineered to 'play' Conway's Game of Life, where cells live
or die based on the density of their neighbors. This system exhibits
complex global emergent behavior that arises from the interaction of
cells based on simple local rules. We are currently building a
variety of other multicellular systems in bacteria that have
interesting spatiotemporal dynamics. Finally, we are also
implementing synthetic gene networks and artificial cell-cell
communication in mammalian stem cells in order to control the
spatiotemporal expression patterns of cell fate regulators, with novel
applications in programmed tissue engineering.
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