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Communication and monitor of breast cancer signal in the pulse-output genetic circuit network

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Abstract

Pulse-output genetic circuit networks have the advantages in stability and accuracy. In this paper, we analyze some important parameters in a typical inverter, and then design a pulse-output genetic circuit of breast cancer signal communication and monitor of breast cancer signal. We first design a single-index monitor circuit. When a certain tumor marker’s concentration exceeds the positive criterion, the circuit will output a pulse as a warning. Since the diagnose results derived from one single tumor marker are sometimes indeterminate, an integrated circuit is proposed to construct a multi-index monitor circuit network. The multi-index detection can strongly increase the correct recognition rate in terms of accuracy and safety. This circuit network may also be used in other fields of gene diagnosis with some modifications, and some experiments designed to validate them had been done.

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References

  1. Vincenzo G. Mini-review: breast cancer markers. Cancer lett, 2006, 243: 145–159

    Article  Google Scholar 

  2. Duffy M J. Serum tumor markers in breast cancer: are they of clinical value? Clin chem, 2006, 52: 345–351

    Article  Google Scholar 

  3. Nicolini A, Carpi A, Tarro G. Biomolecular markers of breast cancer. Front Biosci, 2006, 11: 1818–1843

    Article  Google Scholar 

  4. Jiang X P, Yang D C, Elliott R L, et al. Vaccination with a mixed vaccine of autogenous and allogeneic breast cancer cells and tumor associated antigens CA15-3, CEA and CA125-results in immune and clinical responses in breast cancer patients. Cancer Biother Radiopharm, 2000, 15: 495–505

    Article  Google Scholar 

  5. Zhang S J, Hu Y, Qian H L, et al. Expression and significance of ER, PR, VEGF, CA15-3, CA125 and CEA in judging the prognosis of breast cancer. Asian Pac J Cancer Prev, 2013, 14: 3937–3940

    Article  Google Scholar 

  6. Zhu Y Z, Li Y R, Zeng N Y, et al. Design and analysis of genetic regulatory networks with electronic circuit ideas. In: Proceeding of IEEE International Conference on Industrial Control and Electronics Engineering (ICICEE 2012), St. Joseph, 2012. 2046–2049

    Chapter  Google Scholar 

  7. Anesiadis N, Kobayashi H, Cluett WR, et al. Analysis and design of a genetic circuit for dynamic metabolic engineering. ACS synthet biol, 2013, 2: 442–452

    Article  Google Scholar 

  8. Daniel R, Woo S S, Turicchia L, et al. Analog transistor models of bacterial genetic circuits. In: Proceeding of IEEE International Conference on Biomedical Circuits and Systems Conference (BioCAS), Hsinchu, 2011. 333–336

    Google Scholar 

  9. Kramer B P, Fischer C, Fussenegger M. BioLogic gates enable logical transcription control in mammalian cells. Biotechnol Bioeng, 2004, 87: 478–484

    Article  Google Scholar 

  10. Slusarczyk A L, Lin A, Weiss R. Foundations for the design and implementation of synthetic genetic circuits. Nat Rev Genet, 2012, 13: 406–420

    Article  Google Scholar 

  11. Weiss R. Challenges and opportunities in programming living cells. In: National Academy of Engineering. Frontiers of Engineering: Reports on Leading-Edge Engineering from the 2003 NAE Symposium on Frontiers of Engineering. Washington D. C.: National Academies Press, 2004. 121–130

    Google Scholar 

  12. Wang X, Yuan G Q, Wang X, et al. Pulse-Output Monitor Genetic Circuit of Breast Cancer Testing. In: IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, Beijing, 2013. 1722–1728

    Chapter  Google Scholar 

  13. Moon T S, Lou C B, Tamsir A, et al. Genetic programs constructed from layered logic gates in single cells. Nature, 2012, 491: 249–253

    Article  Google Scholar 

  14. Andrianantoandro E, Basu S, Karig D K, et al. Synthetic biology: new engineering rules for an emerging discipline. Mol Syst Biol, 2006, 2: 1–14

    Article  Google Scholar 

  15. Conrad E D, Tyson J J. Modeling molecular interaction networks with nonlinear differential equations. In: Szallasi Z, Stelling J, Periwal V, eds. System Modeling in Cellular Biology: from Concepts to Nuts and Bolts. Cambridge: MIT Press, 2006. 97–124

    Chapter  Google Scholar 

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Correspondence to Xiang Wang.

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Wang, X., Yuan, G., Wang, X. et al. Communication and monitor of breast cancer signal in the pulse-output genetic circuit network. Sci. China Inf. Sci. 57, 1–10 (2014). https://doi.org/10.1007/s11432-014-5061-4

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  • DOI: https://doi.org/10.1007/s11432-014-5061-4

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