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Controlling the reversible assembly/disassembly of multicomponent using molecular recognition in molecular robots

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Abstract

Here, we report the multicomponent assembly and disassembly processes involving DNA strand displacement to construct molecular robots. The framework for development of molecular robots designates the components as parts of the robot. Molecular recognition is used to control the reversible processes of assembly and disassembly of multiple components. The molecular recognition system identifies not only a single-strand DNA but also a microribonucleic acid as molecular stimuli to control the processes. The processes were demonstrated by gel electrophoresis, fluorescence assays, and atomic force microscopy.

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References

  1. Boghossian AA (2012) An engineering analysis of natural and biomimetic self-repair processes for solar energy harvesting. Thesis (Ph. D.) Massachusetts Institute of Technology, Dept. of Chemical Engineering (2012)

  2. Ham MH et al (2010) Photoelectrochemical complexes for solar energy conversion that chemically and autonomously regenerate. Nature Chem 2(11):929–936

    Article  Google Scholar 

  3. Zhang J et al (2013) Molecular recognition using corona phase complexes made of synthetic polymers adsorbed on carbon nanotubes. Nature Nanotechnol 8(12):959–968

    Article  Google Scholar 

  4. Kumar M, Ahmad T, Sharma A, Mabalirajan U, Kulshreshtha A, Agrawal A, Ghosh G (2011) Let-7 microRNA-mediated regulation of IL-13 and allergic airway inflammation. J Allergy Clin Immunol 128(5):1077–1085

  5. Reif J, Chandran H, Gopalkrishnan N, LaBean T (2012) Self-assembled DNA nanostructures and DNA devices. In: Cabrini S, Kawata S (eds) Nanofabrication handbook. CRC Press, Taylor and Francis Group, New York

  6. Murata S, Konagaya A, Kobayashi S, Saito H, Hagiya M (2013) Molecular robotics: a new paradigm for artifacts. New Gener Comput 31(1):27–45

    Article  Google Scholar 

  7. Benenson Y, Paz-Elizur T, Adar R, Keinan E, Livneh Z, Shapiro E (2001) Programmable and autonomous computing machine made of biomolecules. Nature 414(6862):430–434

    Article  Google Scholar 

  8. Mavroidis C, Ferreira A (2013) Nanorobotics: current approaches and techniques. Springer Science and Business Media, Berlin

  9. Zhang F, Nangreave J, Liu Y, Yan H (2014) Structural DNA nanotechnology: state of the art and future perspective. J Am Chem Soc 136(32):11198–11211

    Article  Google Scholar 

  10. Kallenbach NR, Ma RI, Seeman NC (1983) An immobile nucleic acid junction constructed from oligonucleotides. Nature 305:829–831

    Article  Google Scholar 

  11. Winfree E, Liu F, Wenzler LA, Seeman NC (1998) Design and self-assembly of two-dimensional DNA crystals. Nature 394:539–544

    Article  Google Scholar 

  12. Fu TJ, Seeman NC (1993) DNA double-crossover molecules. Biochemistry 32:3211–3220

  13. Rothemund PWK (2006) Folding DNA to create nanoscale shapes and patterns. Nature 440:279–302

    Article  Google Scholar 

  14. Gothelf KV (2012) LEGO-like DNA structures. Science 338(6111):1159–1160

  15. Ke Y, Ong LL, Shih WM, Yin P (2012) Three-dimensional structures self-assembled from DNA bricks. Science 338:1177

    Article  Google Scholar 

  16. Zhang DY, Winfree E (2009) Control of DNA strand displacement kinetics using toehold exchange. J Am Chem Soc 131(47):17303–17314

    Article  Google Scholar 

  17. Gilpin K, Rus D (2010) Modular robot systems: from self-assembly to self-disassembly. IEEE Robot Autom Mag 17(3):38–53

    Article  Google Scholar 

  18. Zhang DY (2010) Thesis: dynamic DNA strand displacement circuits. California Institute of Technology, California (2010)

  19. Seeman NC (2005) Structural DNA nanotechnology. In: NanoBiotechnology protocols. Humana Press, New York, pp 143–166

  20. Brooks A, Kaupp T, Makarenko A, Williams S, Oreback A (2005) Towards component-based robotics. In: Intelligent robots and systems, IEEE/RSJ international conference, pp 163–168

  21. Yurke B, Turberfield AJ, Mills AP, Simmel FC, Neumann JL (2000) A DNA-fuelled molecular machine made of DNA. Nature 406(6796):605–608

    Article  Google Scholar 

  22. NUPACK—Nucleic Acid Package (2014). http://www.nupack.org/. Accessed 19 Nov 2014

  23. Visual DSD—a design and analysis tool for DNA strand displacement systems (2014). http://boson.research.microsoft.com/webdna/. Accessed on 19 Nov 2014

  24. Medina PP, Nolde M, Slack FJ (2010) OncomiR addiction in an in vivo model of microRNA-21-induced pre-B-cell lymphoma. Nature 467(7311):86–90

    Article  Google Scholar 

Download references

Acknowledgments

This study was supported by a Grant-in-Aid for Scientific Research (Number: 22220001) from The Ministry of Education, Culture, Sports, Science, and Technology, Japan. The first author acknowledges financial support from the Directorate General of Higher Education, Ministry of Education and Culture of The Republic of Indonesia. We are grateful to the reviewers for helpful comments on the manuscript.

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Authors and Affiliations

  1. Department of Micro-Nano System Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8603, Japan

    Wibowo Adi & Kosuke Sekiyama

  2. Department of Informatics, Diponegoro University, Jl. prof Soedarto, S.H, Semarang, Central Java, Indonesia

    Wibowo Adi

Authors
  1. Wibowo Adi
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  2. Kosuke Sekiyama
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Correspondence to Wibowo Adi.

Additional information

This work was presented in part at the 20th International Symposium on Artificial Life and Robotics, Beppu, Oita, January 21–23, 2015.

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Adi, W., Sekiyama, K. Controlling the reversible assembly/disassembly of multicomponent using molecular recognition in molecular robots. Artif Life Robotics 20, 228–236 (2015). https://doi.org/10.1007/s10015-015-0225-x

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  • DOI: https://doi.org/10.1007/s10015-015-0225-x

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