2017
DOI: 10.1093/synbio/ysx006
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Design and evaluation of an incoherent feed-forward loop for an arsenic biosensor based on standard iGEM parts

Abstract: The diversity and flexibility of life offers a wide variety of molecules and systems useful for biosensing. A biosensor device should be robust, specific and reliable. Inorganic arsenic is a highly toxic water contaminant with worldwide distribution that poses a threat to public health. With the goal of developing an arsenic biosensor, we designed an incoherent feed-forward loop (I-FFL) genetic circuit to correlate its output pulse with the input signal in a relatively time-independent manner. The system was c… Show more

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Cited by 14 publications
(17 citation statements)
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References 15 publications
(22 reference statements)
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“…There have been a number of synthetic I1-FFLs built using protein regulators (Barone et al, 2017;Cheng, Hirning, Josić, & Bennett, 2017;Entus et al, 2007). Recently, we built a RNA-based I1-FFL that uses N-acyl homoserine lactone to activate expression of a STAR RNA that activates expression of monomeric red fluorescent protein (mRFP) as well as a gRNA and dCas9 that repress mRFP (Chappell et al, 2017).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…There have been a number of synthetic I1-FFLs built using protein regulators (Barone et al, 2017;Cheng, Hirning, Josić, & Bennett, 2017;Entus et al, 2007). Recently, we built a RNA-based I1-FFL that uses N-acyl homoserine lactone to activate expression of a STAR RNA that activates expression of monomeric red fluorescent protein (mRFP) as well as a gRNA and dCas9 that repress mRFP (Chappell et al, 2017).…”
Section: Discussionmentioning
confidence: 99%
“…The I1-FFL is a common network motif in natural bacterial networks (Alon, 2013;Milo et al, 2002;Shen-Orr, Milo, Mangan, & Alon, 2002) and has received much interest due to its ability to produce a pulse of gene expression (Basu, Mehreja, Thiberge, Chen, & Weiss, 2004;Mangan & Alon, 2003) and accelerate the response time (Mangan, Itzkovitz, Zaslaver, & Alon, 2006). I1-FFLs have also been used to implement band-pass filters (Entus, Aufderheide, & Sauro, 2007;Kaplan, Bren, Dekel, & Alon, 2008), fold-change detection (Goentoro, Shoval, Kirschner, & Alon, 2009), biosensing (Barone et al, 2017), and noise buffering (Osella, Bosia, Corá, & Caselle, 2011). An I1-FFL consists of an activator X that activates a gene Z and simultaneously its repressor, Y (Figure 1c).…”
mentioning
confidence: 99%
“…The success of using mathematical modeling to quantify and guide the design of synthetic gene circuits has been reported in various systems from bacteria to mammalian cells [29][30][31][32][33]. Given previous successes with model-guided design with the evaluation of the gene pulse generator and IFFL circuits [25,[34][35][36], here, we develop ordinary differential equation (ODE)-based mathematical models to first explore the capability of an RNA-only circuit functioning as an IFFL circuit for pulse generation and then, to guide the design and experimental realization of an RNA-protein hybrid IFFL circuit with predictable dynamics.…”
Section: Plasmid Construction and E Coli Strains Usedmentioning
confidence: 99%
“…There have been a number of synthetic I1-FFLs built using protein regulators. 23,26,46 Recently, we built an RNAbased I1-FFL that uses AHL to activate expression of a STAR RNA that activates expression of mRFP as well as a gRNA and dCas9 that repress mRFP. 2 This design relies on an additional RNA cleavage strategy, cascading RNA regulatory events, and slow dCas9 production.…”
Section: Discussionmentioning
confidence: 99%
“…17 The I1-FFL is a common network motif in natural bacterial networks [18][19][20] and has received much interest due to its ability to produce a pulse of gene expression 17,21 and accelerate the response time. 22 I1-FFLs have also been used to implement band-pass filters, 23,24 fold-change detection, 25 biosensing, 26 and noise buffering. 27 An I1-FFL consists of an activator X that activates a gene Z and simultaneously its repressor, Y ( Figure 1C).…”
Section: Introductionmentioning
confidence: 99%