Optically Controlled Oscillators in an Engineered Bioelectric Tissue

Complex electrical dynamics in excitable tissues occur throughout biology, but the roles of individual ion channels can be difficult to determine due to the complex nonlinear interactions in native tissue. Here, we ask whether we can engineer a tissue capable of basic information storage and process...

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Main Authors: Harold M. McNamara, Hongkang Zhang, Christopher A. Werley, Adam E. Cohen
Format: Article
Language:English
Published: American Physical Society 2016-07-01
Series:Physical Review X
Online Access:http://doi.org/10.1103/PhysRevX.6.031001
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spelling doaj-68a57f0e20a24f7f95fea12a60209b7b2020-11-25T00:26:26ZengAmerican Physical SocietyPhysical Review X2160-33082016-07-016303100110.1103/PhysRevX.6.031001Optically Controlled Oscillators in an Engineered Bioelectric TissueHarold M. McNamaraHongkang ZhangChristopher A. WerleyAdam E. CohenComplex electrical dynamics in excitable tissues occur throughout biology, but the roles of individual ion channels can be difficult to determine due to the complex nonlinear interactions in native tissue. Here, we ask whether we can engineer a tissue capable of basic information storage and processing, where all functional components are known and well understood. We develop a cell line with four transgenic components: two to enable collective propagation of electrical waves and two to enable optical perturbation and optical readout of membrane potential. We pattern the cell growth to define simple cellular ring oscillators that run stably for >2  h (∼10^{4}  cycles) and that can store data encoded in the direction of electrical circulation. Using patterned optogenetic stimulation, we probe the biophysical attributes of this synthetic excitable tissue in detail, including dispersion relations, curvature-dependent wave front propagation, electrotonic coupling, and boundary effects. We then apply the biophysical characterization to develop an optically reconfigurable bioelectric oscillator. These results demonstrate the feasibility of engineering bioelectric tissues capable of complex information processing with optical input and output.http://doi.org/10.1103/PhysRevX.6.031001
collection DOAJ
language English
format Article
sources DOAJ
author Harold M. McNamara
Hongkang Zhang
Christopher A. Werley
Adam E. Cohen
spellingShingle Harold M. McNamara
Hongkang Zhang
Christopher A. Werley
Adam E. Cohen
Optically Controlled Oscillators in an Engineered Bioelectric Tissue
Physical Review X
author_facet Harold M. McNamara
Hongkang Zhang
Christopher A. Werley
Adam E. Cohen
author_sort Harold M. McNamara
title Optically Controlled Oscillators in an Engineered Bioelectric Tissue
title_short Optically Controlled Oscillators in an Engineered Bioelectric Tissue
title_full Optically Controlled Oscillators in an Engineered Bioelectric Tissue
title_fullStr Optically Controlled Oscillators in an Engineered Bioelectric Tissue
title_full_unstemmed Optically Controlled Oscillators in an Engineered Bioelectric Tissue
title_sort optically controlled oscillators in an engineered bioelectric tissue
publisher American Physical Society
series Physical Review X
issn 2160-3308
publishDate 2016-07-01
description Complex electrical dynamics in excitable tissues occur throughout biology, but the roles of individual ion channels can be difficult to determine due to the complex nonlinear interactions in native tissue. Here, we ask whether we can engineer a tissue capable of basic information storage and processing, where all functional components are known and well understood. We develop a cell line with four transgenic components: two to enable collective propagation of electrical waves and two to enable optical perturbation and optical readout of membrane potential. We pattern the cell growth to define simple cellular ring oscillators that run stably for >2  h (∼10^{4}  cycles) and that can store data encoded in the direction of electrical circulation. Using patterned optogenetic stimulation, we probe the biophysical attributes of this synthetic excitable tissue in detail, including dispersion relations, curvature-dependent wave front propagation, electrotonic coupling, and boundary effects. We then apply the biophysical characterization to develop an optically reconfigurable bioelectric oscillator. These results demonstrate the feasibility of engineering bioelectric tissues capable of complex information processing with optical input and output.
url http://doi.org/10.1103/PhysRevX.6.031001
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AT christopherawerley opticallycontrolledoscillatorsinanengineeredbioelectrictissue
AT adamecohen opticallycontrolledoscillatorsinanengineeredbioelectrictissue
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