Model for biological communication in a nanofabricated cell-mimic driven by stochastic resonance

Journal Article · Sat Jan 01 04:00:00 EST 2011 · Nano Communication Networks

DOI:https://doi.org/10.1016/j.nancom.2011.03.001· OSTI ID:1073643

Karig, David K ^[1]; Siuti, Piro ^[1]; Dar, Roy D. ^[2]; Retterer, Scott T ^[1]; Doktycz, Mitchel John ^[1]; Simpson, Michael L ^[1]

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1. ORNL
2. University of Tennessee, Knoxville (UTK)

Cells offer natural examples of highly efficient networks of nanomachines. Accordingly, both intracellular and intercellular communication mechanisms in nature are looked to as a source of inspiration and instruction for engineered nanocommunication. Harnessing biological functionality in this manner requires an interdisciplinary approach that integrates systems biology, synthetic biology, and nanofabrication. Recent years have seen the amassing of a tremendous wealth of data from the sequencing of new organisms and from high throughput expression experiments. At the same time, a deeper fundamental understanding of individual cell function has been developed, as exemplified by the growth of fields such as noise biology, which seeks to characterize the role of noise in gene expression. The availability of well characterized biological components coupled with a deeper understanding of cell function has led to efforts to engineer both living cells and to create bio-like functionality in non-living substrates in the field of synthetic biology. Here, we present a model system that exemplifies the synergism between these realms of research. We propose a synthetic gene network for operation in a nanofabricated cell mimic array that propagates a biomolecular signal over long distances using the phenomenon of stochastic resonance. Our system consists of a bacterial quorum sensing signal molecule, a bistable genetic switch triggered by this signal, and an array of nanofabricated cell mimic wells that contain the genetic system. An optimal level of noise in the system helps to propagate a time-varying AHL signal over long distances through the array of mimics. This noise level is determined both by the system volume and by the parameters of the genetic network. Our proposed genetically driven stochastic resonance system serves as a testbed for exploring the potential harnessing of gene expression noise to aid in the transmission of a time-varying molecular signal.

• Research Organization: Oak Ridge National Laboratory (ORNL); Center for Nanophase Materials Sciences
• Sponsoring Organization: SC USDOE - Office of Science (SC)
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1073643
• Journal Information: Nano Communication Networks, Journal Name: Nano Communication Networks Journal Issue: 1 Vol. 2; ISSN 1878-7789
• Country of Publication: United States
• Language: English

Related Subjects

nano communication networks
nanobio
quorum sensing