CSAIL Event Calendar: Previous Series

Engineering Synthetic Splicing Ribozyme Systems

Speaker: Austin Che , MIT, Ginko BioWorks
Date: April 15 2009
Time: 11:30AM to 1:00PM
Location: Stata Center 32-G575
Host: Bonnie Berger & Peter Clote, MIT - BC

Contact: Patrice Macaluso, 617.253.3037, macaluso@csail.mit.edu
Relevant URL: http://www-math.mit.edu/compbiosem/

Reusable components, such as logic gates and code libraries, simplify
the design and implementation of electronic circuits and computer
programs. The engineering of biological systems would benefit also from reusable components. I show the utility of splicing ribozymes for the biological engineer. Ribozymes allow the engineer to manipulate existing biological systems and to program self-modifying RNA systems. In addition, splicing ribozymes are easy to engineer, malleable, modular, and scalable.

I used the model ribozyme from Tetrahymena to explore the principles
behind engineering biological splicing systems in vivo. I show that the core ribozyme is modular and functions properly in many different contexts. Simple base pairing rules and computational RNA folding can predict splicing efficiency in bacterial cells. To test our understanding of the ribozyme, I generated synthetic ribozymes by manipulating the primary sequence while maintaining the secondary
structure. Results indicate that our biochemical understanding of the
ribozyme is accurate enough to support engineering.

Splicing ribozymes can form core components in an all-RNA logic system. I developed biological transzystors, switches analogous to electrical transistors. Transzystors can use any trans-RNA as input and any RNA as output, allowing the genetic reading of RNA levels. I also show the ribozyme can write RNA using the trans-splicing
reaction. Trans-splicing provides an easy mechanism to hook into an existing biological system and patch its operation. The generality of these ribozymes for a wide set of applications makes them promising tools for synthetic biology.

See other events that are part of Bioinformatics Seminar Series Spring 2009

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