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Analysis of primitive genetic interactions for the design of a genetic signal differentiator
Abstract We study the dynamic and static input outp
We study the dynamic and static input output behavior of several primitive genetic interactions and their e↵ect on the performance of a genetic signal di↵erentiator. In a simplified design, several requirements for the linearity and time-scales of processes like transcription, translation and competitive promoter binding were introduced. By ex- perimentally probing simple genetic constructs in a cell-free experimental environment and fitting semi-mechanistic models to these data, we show that some of these require- ments can be verified, while others are only met with reservations in certain operational regimes. Analyzing the linearized model of the resulting genetic network we conclude that it approximates a di↵erentiator with relative degree one. Taking also the discovered non-linearities into account and using a describing function approach, we further deter- mine the particular frequency and amplitude ranges where the genetic di↵erentiator can be expected to behave as such.
ntiator can be expected to behave as such.  +
Authors Wolfgang Halter, Richard M. Murray, Frank Allgower  +
Funding Theory-Based Engineering of Biomolecular Circuits in Living Cells +
ID 2019g  +
Source Submitted, OUP Synthetic Biology, May 2019  +
Tag ham19-oupsynbio  +
Title Analysis of primitive genetic interactions for the design of a genetic signal differentiator +
Type Journal submission  +
Categories Papers
Modification date
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17 June 2019 00:13:46  +
URL
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http://www.cds.caltech.edu/~murray/preprints/ham19-oupsynbio_s.pdf  +
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Analysis of primitive genetic interactions for the design of a genetic signal differentiator + Title
 

 

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