Literature DB >> 17945655

Modeling and engineering aspects of channelrhodopsin2 system for neural photostimulation.

Konstantin Nikolic1, Patrick Degenaar, Chris Toumazou.   

Abstract

It is desirable to be able to stimulate neural cells for many different therapeutic applications. Light stimulation has many advantages over electrical stimulation if it can be achieved. Neural cells are not naturally light sensitive but they can be transformed using different strategies. Here we examine the case of genetically engineered neurons expressing green algae light-gated ion channels, Channelrhodopsin-2. We have developed a mathematical model for the photocycle of this protein, which gives results which are in good agreement with experimental measurements. We have also examined engineering aspects of using this ChR2 system as a phototransduction mechanism. The response characteristics were calculated and potentials of this system-device are discussed.

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Year:  2006        PMID: 17945655     DOI: 10.1109/IEMBS.2006.260766

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  10 in total

1.  Computational Optogenetics: A Novel Continuum Framework for the Photoelectrochemistry of Living Systems.

Authors:  Jonathan Wong; Oscar J Abilez; Ellen Kuhl
Journal:  J Mech Phys Solids       Date:  2012-06-01       Impact factor: 5.471

2.  Monitoring light-induced structural changes of Channelrhodopsin-2 by UV-visible and Fourier transform infrared spectroscopy.

Authors:  Eglof Ritter; Katja Stehfest; Andre Berndt; Peter Hegemann; Franz J Bartl
Journal:  J Biol Chem       Date:  2008-10-16       Impact factor: 5.157

3.  Ion selectivity and competition in channelrhodopsins.

Authors:  Franziska Schneider; Dietrich Gradmann; Peter Hegemann
Journal:  Biophys J       Date:  2013-07-02       Impact factor: 4.033

4.  Rectification of the channelrhodopsin early conductance.

Authors:  Dietrich Gradmann; André Berndt; Franziska Schneider; Peter Hegemann
Journal:  Biophys J       Date:  2011-09-07       Impact factor: 4.033

5.  Minimal time spiking in various ChR2-controlled neuron models.

Authors:  Vincent Renault; Michèle Thieullen; Emmanuel Trélat
Journal:  J Math Biol       Date:  2017-06-29       Impact factor: 2.259

6.  Multiscale computational models for optogenetic control of cardiac function.

Authors:  Oscar J Abilez; Jonathan Wong; Rohit Prakash; Karl Deisseroth; Christopher K Zarins; Ellen Kuhl
Journal:  Biophys J       Date:  2011-09-20       Impact factor: 4.033

7.  Model-based optogenetic stimulation to regulate beta oscillations in Parkinsonian neural networks.

Authors:  Ying Yu; Fang Han; Qishao Wang; Qingyun Wang
Journal:  Cogn Neurodyn       Date:  2021-10-16       Impact factor: 3.473

8.  The spatial pattern of light determines the kinetics and modulates backpropagation of optogenetic action potentials.

Authors:  Nir Grossman; Vasiliki Simiaki; Claire Martinet; Christofer Toumazou; Simon R Schultz; Konstantin Nikolic
Journal:  J Comput Neurosci       Date:  2012-11-22       Impact factor: 1.621

9.  Re-introduction of transmembrane serine residues reduce the minimum pore diameter of channelrhodopsin-2.

Authors:  Ryan Richards; Robert E Dempski
Journal:  PLoS One       Date:  2012-11-19       Impact factor: 3.240

10.  Controlling the oscillation phase through precisely timed closed-loop optogenetic stimulation: a computational study.

Authors:  Annette Witt; Agostina Palmigiano; Andreas Neef; Ahmed El Hady; Fred Wolf; Demian Battaglia
Journal:  Front Neural Circuits       Date:  2013-04-17       Impact factor: 3.492

  10 in total

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