Skip to main content

Regulation Effects by Programmed Molecules for Transcription-Based Diagnostic Automata towards Therapeutic Use

  • Conference paper
Natural Computing

Abstract

We have presented experimental analysis on the controllability of our transcription-based diagnostic biomolecular automata by programmed molecules. Focusing on the noninvasive transcriptome diagnosis by salivary mRNAs, we already proposed the novel concept of diagnostic device using DNA computation. This system consists of the main computational element which has a stem shaped promoter region and a pseudo-loop shaped read-only memory region for transcription regulation through the conformation change caused by the recognition of disease-related biomarkers. We utilize the transcription of malachite green aptamer sequence triggered by the target recognition for observation of detection. This algorithm makes it possible to release RNA-aptamer drugs multiply, different from the digestion-based systems by the restriction enzyme which was proposed previously, for the in-vivo use, however, the controllability of aptamer release is not enough at the previous stage. In this paper, we verified the regulation effect on aptamer transcription by programmed molecules in basic conditions towards the developm! ent of therapeutic automata. These results would bring us one step closer to the realization of new intelligent diagnostic and therapeutic automata based on molecular circuits.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Benenson, Y., Gil, B.-D.U., Adar, R., Shapiro, E.: An autonomous molecular computer for logical control of gene expression. Nature 429, 423–429 (2004)

    Article  Google Scholar 

  2. Li, Y., John, M.A.R.St., Zhou, X., Kim, Y., Sinha, U., Jordan, R.C.K., Eisele, D., Abemayor, E., Elashoff, D., Park, N.-H., Wong, D.T.: Salivary transcriptome diagnostics for oral cancer detection. Clin. Cancer Res. 10, 8442–8450 (2004)

    Article  Google Scholar 

  3. Hirabayashi, M., Ohashi, H., Kubo, T.: Experimental validation of the transcpritonbased diagnostic automata with quantitative control by programmed molecules. In: Preliminary Proceedings of the 13th International Meeting on DNA Computing, Memphis, Tennessee, USA, pp. 101–110 (2007)

    Google Scholar 

  4. Babendure, J.R., Adams, S.R., Tsien, R.Y.: Aptamers switch on fluorescence of triphenylmethane dyes. J. Am. Chem. Soc. 125, 14716–14717 (2003)

    Article  Google Scholar 

  5. Hirabayashi, M., Taira, S., Kobayashi, S., Konishi, K., Katoh, K., Hiratsuka, Y., Kodaka, M., Uyeda, T.Q.P., Yumoto, N., Kubo, T.: Malachite green-conjugated microtubules as mobile bioprobes selective for malachite green aptamers with capturing/ releasing ability. Biotechnol. Bioeng. 94(3), 473–480 (2006)

    Article  Google Scholar 

  6. Kolpashchikov, D.M., Stojanovic, M.N.: Boolean control of aptamer binding states. J. Am. Chem. Soc. 127, 11348–11351 (2005)

    Article  Google Scholar 

  7. Bunka, D.H.J., Stockley, P.G.: Aptamers come of age - at last. Nat. Rev. Microbiol. 4, 588–596 (2006)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer Tokyo

About this paper

Cite this paper

Hirabayashi, M., Ohashi, H., Kubo, T. (2009). Regulation Effects by Programmed Molecules for Transcription-Based Diagnostic Automata towards Therapeutic Use. In: Suzuki, Y., Hagiya, M., Umeo, H., Adamatzky, A. (eds) Natural Computing. Proceedings in Information and Communications Technology, vol 1. Springer, Tokyo. https://doi.org/10.1007/978-4-431-88981-6_7

Download citation

  • DOI: https://doi.org/10.1007/978-4-431-88981-6_7

  • Publisher Name: Springer, Tokyo

  • Print ISBN: 978-4-431-88980-9

  • Online ISBN: 978-4-431-88981-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics