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Surface-Immobilised DNA Molecular Machines for Information Processing

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Information Processing in Cells and Tissues (IPCAT 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9303))

Abstract

The microscopic information processing machinery of biological cells provides inspiration for the field of molecular computation, and for the use of synthetic DNA to store and process information and instructions. A single microlitre of solution can contain billions of distinct DNA sequences and consequently DNA computation offers huge potential for parallel processing. However, conventional data readout systems are complex, and the methods used are not well-suited for combination with mainstream computer circuits. Immobilisation of DNA machines on surfaces may allow integration of molecular devices with traditional electronics, facilitating data readout and enabling low-power massively parallel processing. Here we outline a general framework for hybrid bioelectronic systems and proceed to describe the results of our preliminary experiments on dynamic DNA structures immobilised on a surface, performed using QCM-D (quartz crystal microbalance with dissipation monitoring), which involves the use of acoustic waves to probe a molecular layer on a gold-coated quartz sensor.

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Notes

  1. 1.

    In DNA, a single base pair occupies 1 nm\(^3\) and stores 2 bits of information; for the magnetic hard disk, capacity is assumed to be 1 TB, radius 4.5 cm and depth 1 cm.

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Acknowledgements

The authors would like to thank the EPSRC for their support of this work through the Platform Grant EP/K040820/1, and we also wish to thank the University of York for the award of an Institutional Equipment Grant. Data created during this research is available at the following DOI: 10.15124/3861217c-b93a-4df9-b03a-2e102e5b47c7.

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Correspondence to Katherine E. Dunn .

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Dunn, K.E., Morgan, T.L., Trefzer, M.A., Johnson, S.D., Tyrrell, A.M. (2015). Surface-Immobilised DNA Molecular Machines for Information Processing. In: Lones, M., Tyrrell, A., Smith, S., Fogel, G. (eds) Information Processing in Cells and Tissues. IPCAT 2015. Lecture Notes in Computer Science(), vol 9303. Springer, Cham. https://doi.org/10.1007/978-3-319-23108-2_1

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  • DOI: https://doi.org/10.1007/978-3-319-23108-2_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23107-5

  • Online ISBN: 978-3-319-23108-2

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