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Modeling the Spontaneous Reaction of Mammalian Cells to External Stimuli

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Ad Hoc Networks (ADHOCNETS 2012)

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Abstract

We argue that the potential benefits of developing high-fidelity models of biological communication systems has enormous potential in terms of enhancing the understanding of biological systems and that such understanding is a major step towards detection and treatment of disease. By focusing on lysosomal enzyme response to stimuli, we demonstrate that the understanding of the protocols governing cellular communications is far from complete. We discuss some major challenges and outline promising approaches to reaching the next level.

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Authors and Affiliations

  1. The University of Mississippi, University, MS, 38677, USA

    John N. Daigle & Zia Shariat-Madar

  2. University of Perugia, via G. Duranti 93, 06125, Perugia, Italy

    Mauro Femminella

Authors
  1. John N. Daigle
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  2. Mauro Femminella
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  3. Zia Shariat-Madar
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Editor information

Editors and Affiliations

  1. Southeast University, 210097, Nanjing, China

    Jun Zheng

  2. INRIA Lille-Nord Europe, 59650, Villeneuve d’ Ascq, France

    Nathalie Mitton

  3. Communications Research Centre, K2H8S2, Ottawa, ON, USA

    Jun Li

  4. University of Haute Alsace, 68008, Colmar, France

    Pascal Lorenz

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© 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Daigle, J.N., Femminella, M., Shariat-Madar, Z. (2013). Modeling the Spontaneous Reaction of Mammalian Cells to External Stimuli. In: Zheng, J., Mitton, N., Li, J., Lorenz, P. (eds) Ad Hoc Networks. ADHOCNETS 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 111. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36958-2_16

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  • DOI: https://doi.org/10.1007/978-3-642-36958-2_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36957-5

  • Online ISBN: 978-3-642-36958-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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