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Mol Syst Biol. 2017 Apr 24;13(4):926. doi: 10.15252/msb.20167456.

A photoconversion model for full spectral programming and multiplexing of optogenetic systems.

Author information

1
Graduate Program in Applied Physics, Rice University, Houston, TX, USA.
2
Department of Bioengineering, Rice University, Houston, TX, USA.
3
Department of Bioengineering, Rice University, Houston, TX, USA jeff.tabor@rice.edu.
4
Department of Biosciences, Rice University, Houston, TX, USA.

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.

KEYWORDS:

optogenetics; predictive modeling; spectral multiplexing; synthetic biology; two‐component systems

PMID:
28438832
PMCID:
PMC5408778
DOI:
10.15252/msb.20167456
[Indexed for MEDLINE]
Free PMC Article

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