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DOI: http://dx.doi.org/10.7551/978-0-262-31050-5-ch058
Pages 441-448
First published 2 July 2012

Modeling Scalable Pattern Generation in DNA Reaction Networks

Peter B. Allen, Xi Chen, Zack B. Simpson, Andrew D. Ellington

Abstract

We have developed a theoretical framework for developing patterns in multiple dimensions using controllable diffusion and designed reactions implemented in DNA. This includes so-called strand displacement reactions in which one single-stranded DNA hybridizes to a hemi-duplex DNA and displaces another single stranded DNA, reversibly or irreversibly. These reactions can be designed to proceed with designed rate and molecular specificity. By also controlling diffusion by partial complementarity to a stationary, cross-linked DNA, we can generate predictable patterns. We demonstrate this with several simulations showing deterministic, arbitrary shapes in space.