A novel optogenetically tunable frequency modulating oscillator.
A novel optogenetically tunable frequency modulating oscillator.
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DOI:
10.1371/journal.pone.0183242
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发表时间:
2018
期刊:
影响因子:
3.7
通讯作者:
Rai K
中科院分区:
文献类型:
--
作者:
Mahajan T;Rai K
Synthetic biology has enabled the creation of biological reconfigurable circuits, which perform multiple functions monopolizing a single biological machine; Such a system can switch between different behaviours in response to environmental cues. Previous work has demonstrated switchable dynamical behaviour employing reconfigurable logic gate genetic networks. Here we describe a computational framework for reconfigurable circuits in E.coli using combinations of logic gates, and also propose the biological implementation. The proposed system is an oscillator that can exhibit tunability of frequency and amplitude of oscillations. Further, the frequency of operation can be changed optogenetically. Insilico analysis revealed that two-component light systems, in response to light within a frequency range, can be used for modulating the frequency of the oscillator or stopping the oscillations altogether. Computational modelling reveals that mixing two colonies of E.coli oscillating at different frequencies generates spatial beat patterns. Further, we show that these oscillations more robustly respond to input perturbations compared to the base oscillator, to which the proposed oscillator is a modification. Compared to the base oscillator, the proposed system shows faster synchronization in a colony of cells for a larger region of the parameter space. Additionally, the proposed oscillator also exhibits lesser synchronization error in the transient period after input perturbations. This provides a strong basis for the construction of synthetic reconfigurable circuits in bacteria and other organisms, which can be scaled up to perform functions in the field of time dependent drug delivery with tunable dosages, and sets the stage for further development of circuits with synchronized population level behaviour.
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影响因子:
3.7
作者:
Gonze D;Abou-Jaoudé W
通讯作者:
Abou-Jaoudé W
影响因子:
3.7
作者:
Hillenbrand P;Fritz G;Gerland U
通讯作者:
Gerland U
DOI:
10.1093/bioinformatics/btp310
发表时间:
2009-07-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Chen BS;Chang CH;Lee HC
通讯作者:
Lee HC
影响因子:
17.1
作者:
Courbet, Alexis;Endy, Drew;Bonnet, Jerome
通讯作者:
Bonnet, Jerome
影响因子:
2.7
作者:
Engelborghs, K;Luzyanina, T;Roose, D
通讯作者:
Roose, D