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Computational Optogenetics: Empirically-Derived Voltage- and Light-Sensitive Channelrhodopsin-2 Model

Overview of attention for article published in PLoS Computational Biology, September 2013
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Title
Computational Optogenetics: Empirically-Derived Voltage- and Light-Sensitive Channelrhodopsin-2 Model
Published in
PLoS Computational Biology, September 2013
DOI 10.1371/journal.pcbi.1003220
Pubmed ID
Authors

John C. Williams, Jianjin Xu, Zhongju Lu, Aleksandra Klimas, Xuxin Chen, Christina M. Ambrosi, Ira S. Cohen, Emilia Entcheva

Abstract

Channelrhodospin-2 (ChR2), a light-sensitive ion channel, and its variants have emerged as new excitatory optogenetic tools not only in neuroscience, but also in other areas, including cardiac electrophysiology. An accurate quantitative model of ChR2 is necessary for in silico prediction of the response to optical stimulation in realistic tissue/organ settings. Such a model can guide the rational design of new ion channel functionality tailored to different cell types/tissues. Focusing on one of the most widely used ChR2 mutants (H134R) with enhanced current, we collected a comprehensive experimental data set of the response of this ion channel to different irradiances and voltages, and used these data to develop a model of ChR2 with empirically-derived voltage- and irradiance- dependence, where parameters were fine-tuned via simulated annealing optimization. This ChR2 model offers: 1) accurate inward rectification in the current-voltage response across irradiances; 2) empirically-derived voltage- and light-dependent kinetics (activation, deactivation and recovery from inactivation); and 3) accurate amplitude and morphology of the response across voltage and irradiance settings. Temperature-scaling factors (Q10) were derived and model kinetics was adjusted to physiological temperatures. Using optical action potential clamp, we experimentally validated model-predicted ChR2 behavior in guinea pig ventricular myocytes. The model was then incorporated in a variety of cardiac myocytes, including human ventricular, atrial and Purkinje cell models. We demonstrate the ability of ChR2 to trigger action potentials in human cardiomyocytes at relatively low light levels, as well as the differential response of these cells to light, with the Purkinje cells being most easily excitable and ventricular cells requiring the highest irradiance at all pulse durations. This new experimentally-validated ChR2 model will facilitate virtual experimentation in neural and cardiac optogenetics at the cell and organ level and provide guidance for the development of in vivo tools.

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Geographical breakdown

Country Count As %
United States 4 2%
Germany 2 1%
United Kingdom 2 1%
Hong Kong 1 <1%
Brazil 1 <1%
India 1 <1%
France 1 <1%
Belgium 1 <1%
Italy 1 <1%
Other 2 1%
Unknown 168 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 27%
Researcher 32 17%
Student > Master 22 12%
Student > Bachelor 20 11%
Student > Doctoral Student 9 5%
Other 27 15%
Unknown 25 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 23%
Engineering 33 18%
Neuroscience 20 11%
Physics and Astronomy 19 10%
Biochemistry, Genetics and Molecular Biology 15 8%
Other 26 14%
Unknown 29 16%