A photoconversion model for full spectral programming and multiplexing of optogeneticᅠsystems
dc.citation.articleNumber | 926 | en_US |
dc.citation.journalTitle | Molecular Systems Biology | en_US |
dc.citation.volumeNumber | 13 | en_US |
dc.contributor.author | Olson, Evan J. | en_US |
dc.contributor.author | Tzouanas, Constantine N. | en_US |
dc.contributor.author | Tabor, Jeffrey J. | en_US |
dc.contributor.org | Bioengineering | en_US |
dc.contributor.org | Biosciences | en_US |
dc.date.accessioned | 2017-05-04T18:16:35Z | en_US |
dc.date.available | 2017-05-04T18:16:35Z | en_US |
dc.date.issued | 2017 | en_US |
dc.description.abstract | Optogenetics combines externally applied light signals and genetically engineered photoreceptors to control cellular processes with unmatched precision. Here, we develop a mathematical model of wavelength‐ and intensity‐dependent photoconversion, signaling, and output gene expression for our two previously engineered light‐sensing Escherichia coli two‐component systems. To parameterize the model, we develop a simple set of spectral and dynamical calibration experiments using our recent open‐source “Light Plate Apparatus” device. In principle, the parameterized model should predict the gene expression response to any time‐varying signal from any mixture of light sources with known spectra. We validate this capability experimentally using a suite of challenging light sources and signals very different from those used during the parameterization process. Furthermore, we use the model to compensate for significant spectral cross‐reactivity inherent to the two sensors in order to develop a new method for programming two simultaneous and independent gene expression signals within the same cell. Our optogenetic multiplexing method will enable powerful new interrogations of how metabolic, signaling, and decision‐making pathways integrate multiple input signals. | en_US |
dc.identifier.citation | Olson, Evan J., Tzouanas, Constantine N. and Tabor, Jeffrey J.. "A photoconversion model for full spectral programming and multiplexing of optogeneticᅠsystems." <i>Molecular Systems Biology,</i> 13, (2017) EMBO Press: https://doi.org/10.15252/msb.20167456. | en_US |
dc.identifier.doi | https://doi.org/10.15252/msb.20167456 | en_US |
dc.identifier.uri | https://hdl.handle.net/1911/94172 | en_US |
dc.language.iso | eng | en_US |
dc.publisher | EMBO Press | en_US |
dc.rights | This is an open access article under the terms of the Creative Commons Attribution 4.0 License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
dc.subject.keyword | optogenetics | en_US |
dc.subject.keyword | predictive modeling | en_US |
dc.subject.keyword | synthetic biology | en_US |
dc.subject.keyword | spectral multiplexing | en_US |
dc.subject.keyword | two-component systems | en_US |
dc.title | A photoconversion model for full spectral programming and multiplexing of optogeneticᅠsystems | en_US |
dc.type | Journal article | en_US |
dc.type.dcmi | Text | en_US |
dc.type.publication | publisher version | en_US |
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