Abstract
In this paper, we report a scheme for reversible state-transition of the automaton responding to a single kind of a photonic signal. The state is encoded into the conformation of hairpin-DNAs tethered with azobenzene, which is responsive to visible and UV light irradiation. The reversible behavior is realized by carrying out a sequence of conformation-change of the hairpin-DNA in a stepwise manner. Experimental results demonstrate that the state can be changed reversibly according to photonic signals.
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Benenson, Y., Paz-Elizur, T., Adar, R., Keinan, E., Livneh, Z., Shapiro, E.: Programmable and autonomous computing machine made of biomolecules. Nature 414, 430–434 (2001)
Benenson, Y., Gil, B., Ben-Dor, U., Adar, R., Shapiro, E.: An autonomous molecular computer for logical control of gene expression. Nature 429, 1–6 (2004)
Sakai, H., Ogura, Y., Tanida, J.: Positional state representation and its transition control for photonic DNA automaton. In: Deaton, R., Suyama, A. (eds.) DNA 15. LNCS, vol. 5877, pp. 126–136. Springer, Heidelberg (2009)
Sakai, H., Ogura, Y., Tanida, J.: Implementation of a Nanoscale Automaton Using DNA Conformation Controlled by Optical Signals. Japanese Journal of Applied Physics 48, 09LA01 (2009)
Asanuma, H., Liang, X., Nishioka, H., Matsunaga, D., Liu, M., Komiyama, M.: Synthesis of azobenzene-tethered DNA for reversible photo-regulation of DNA functions: hybridization and transcription. Nature Protocols 2, 203–213 (2007)
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© 2011 Springer-Verlag Berlin Heidelberg
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Sakai, H., Ogura, Y., Tanida, J. (2011). Reversible Transition of Photonic DNA Automaton Using Hairpin-DNA Responding to a Single Kind of Photonic Signal. In: Sakakibara, Y., Mi, Y. (eds) DNA Computing and Molecular Programming. DNA 2010. Lecture Notes in Computer Science, vol 6518. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18305-8_13
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DOI: https://doi.org/10.1007/978-3-642-18305-8_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-18304-1
Online ISBN: 978-3-642-18305-8
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