A photoconversion model for full spectral programming and multiplexing of optogenetic systems
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 ou...
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| Format: | Article |
| Language: | English |
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Springer Nature
2017-04-01
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| Series: | Molecular Systems Biology |
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| Online Access: | https://doi.org/10.15252/msb.20167456 |
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| author | Evan J Olson Constantine N Tzouanas Jeffrey J Tabor |
| author_facet | Evan J Olson Constantine N Tzouanas Jeffrey J Tabor |
| author_sort | Evan J Olson |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-e014e49d70f5460fb2633d38c5216c57 |
| institution | OA Journals |
| issn | 1744-4292 |
| language | English |
| publishDate | 2017-04-01 |
| publisher | Springer Nature |
| record_format | Article |
| series | Molecular Systems Biology |
| spelling | doaj-art-e014e49d70f5460fb2633d38c5216c572025-08-20T02:11:49ZengSpringer NatureMolecular Systems Biology1744-42922017-04-0113411310.15252/msb.20167456A photoconversion model for full spectral programming and multiplexing of optogenetic systemsEvan J Olson0Constantine N Tzouanas1Jeffrey J Tabor2Graduate Program in Applied Physics, Rice UniversityDepartment of Bioengineering, Rice UniversityDepartment of Bioengineering, Rice UniversityAbstract 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.https://doi.org/10.15252/msb.20167456optogeneticspredictive modelingsynthetic biologyspectral multiplexingtwo‐component systems |
| spellingShingle | Evan J Olson Constantine N Tzouanas Jeffrey J Tabor A photoconversion model for full spectral programming and multiplexing of optogenetic systems Molecular Systems Biology optogenetics predictive modeling synthetic biology spectral multiplexing two‐component systems |
| title | A photoconversion model for full spectral programming and multiplexing of optogenetic systems |
| title_full | A photoconversion model for full spectral programming and multiplexing of optogenetic systems |
| title_fullStr | A photoconversion model for full spectral programming and multiplexing of optogenetic systems |
| title_full_unstemmed | A photoconversion model for full spectral programming and multiplexing of optogenetic systems |
| title_short | A photoconversion model for full spectral programming and multiplexing of optogenetic systems |
| title_sort | photoconversion model for full spectral programming and multiplexing of optogenetic systems |
| topic | optogenetics predictive modeling synthetic biology spectral multiplexing two‐component systems |
| url | https://doi.org/10.15252/msb.20167456 |
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