Difference between revisions of "Team:William and Mary/Synthetic Enhancer"

 
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Synthetic Enhancer
 
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Past iGEM teams have managed to create a dizzying number of unique transfer functions from their genetic circuits, and while altering the maximal expression level through ribosome binding sites (RBS) HYPERLINK is common among the iGEM community, there is oftentimes a need to change the threshold of a transfer function. That is, to move a transfer function horizontally. For the Circuit Control Toolbox to reach the stated goal of having orthogonal control over transfer functions we needed to find a way to orthogonally shift the threshold of a given arbitrary genetic circuit. In the end we managed to accomplish this by using molecular titration.
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Molecular titration as the name implies is the process of titrating out molecules of transcription factor. That means, for some amount of transcription factor, a constant amount is taken away, such that for any given amount of transcription factor concentration, we are actually working with functionally less of said transcription factor (Figure 1).
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<img src="https://static.igem.org/mediawiki/2016/5/5c/T--William_and_Mary--BA-F1-V1-.png"></img> <br>Figure 1: Diagram showing the interactions between an activator transcription factor and decoy binding array, which as a molecular titrator. Note that the number of decoy binding sites impacts the equilibrium of free transcription factor, which in turn impacts the equilibrium of the amount bound to the promoter. Diagram adapted from Lee et al. 2012 (“A regulatory role for repeated decoy transcription factor binding sites in target gene expression”) </p>
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<p class='large'>To accomplish this shift in E. coli we used decoy binding arrays, which are plasmids containing many repeated sequences of transcription factor binding sites, these repeated binding sites cause a large number of transcription factors to be bound to sites which produce no product, thus titrating them out, see Brewster et al. 2014 (“The Transcription Factor Titration Effect Dictates Levels of Gene Expression”). This causes a rightward shift in graph of transcription factor vs gene product. If we then graph a that same gene product versus a small molecule inducer for said transcription factor, then depending on the type of transcription factor we will either get a shift to the right (activator) or the the left (repressor). (See in depth example)</p>
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<h3 style='padding-top: 50px; padding-bottom: 50px;'>Background</h3>
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<p class='large' style="padding-top:30px !important;">One of the fundamental constraints of an electrical engineering style way of thinking about genetic circuitry is that electrical circuits often include digital, often binary, states of expression. This kind of input-output relationship showing two discrete “on” and “off” states is represented by the illustrative gene expression curve in <b>Figure 1</b>. As one can see, although the binary interpretation is appropriate at the low and high extremes of inducer concentration, there is an intermediate region where the continuous, or analog nature of gene expression becomes important. </p>
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<p class ='large' style="text-align: center !important"><img align="center" src="https://static.igem.org/mediawiki/2016/c/c4/T--William_and_Mary--Binary_Transfer_Function.png"><br>Figure 1. Illustration of induction curve for generic gene expression</p>
  
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<p class='large' style="padding-top:30px !important;">A natural way to expand on the advantages of the digital-circuit paradigm while incorporating the non-binary characteristics of gene expression is to develop genes and circuits which can exhibit discrete, multi-step response profiles. These would allow circuits to exhibit not just “off” and “on” states, but a number of intermediate, discrete states to better facilitate both precision of circuit behavior and readout as well as the expansion of the possibilities in the computation that can be performed with genetic circuitry.</p>
  
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<p class='large' style="padding-top:30px !important;">Often people will use the low and high expression regions to represent the analogous expression levels to binary 0 and 1, respectively.  However, Amit et. al. developed a method by which intermediate levels of gene expression can be obtained in a stable, non-transient manner. To do so, they created a synthetic enhancer suites, schematically shown in <b>Figure 2</b>, consisting of enhancer binding sites, an assembled σ54 promoter, and small cassettes between the enhancer and the promoter, which can house DNA binding proteins in different combinations.  It is the looping of the DNA from the enhancer to the promoter that causes an interaction that allows for transcription of the output.  Binding of repressor proteins, such as TetR, to the addition cassettes between the enhancer and promoter can affect the flexibility of DNA looping and thus make it thermodynamically more difficult for the interaction to take place and thus suppresses transcriptional initiation. This synthetic enhancer suite can not only increase the complexity and sensitivity of a circuit, but also allow for a multimodal response with addition of discrete sets of defined enhancer binding protein binding sites, TetR, that interact independently from the enhancer and promoter.</p>
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<h3 style='padding-top: 50px; padding-bottom: 50px;'>In Depth Example</h3>
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<h3 style='padding-top: 50px; padding-bottom: 50px;'>Mechanism</h3>
 
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<p class='large' style="padding-top:30px !important;">The physical interaction between the assembled σ54 promoter complex (glnAp2) and enhancer sites causes the activation of transcription.  Amit et. al. generated a genetic circuit regulated by the availability of NRI binding protein as well as the NRII2302 helper protein, which can phosphorylate the NRI protein and activate it as to allow it to bind to the enhancer region.  Once this happens, the looping (shown in <b>Figure 2</b>) the DNA from the enhancer to the promoter allows for transcription of more NRI (positive feedback) as well as the fluorescent reporter.  When repressor binding sites are placed in the spacer region between the enhancer and promoter, this allows for the regulation of output.  The TetR binding makes the DNA looping harder and more rigid, resulting in less transcription of the fluorescent reporter.  Multiple repressor binding sites can give rise to discrete number of TetR binding to the region at a given time, thus modulating the ability for the DNA to loop, ultimately giving rise to different states of expression depending on the availability of functional apo-repressor protein.</p>
  
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<p class='large' style="padding-top:30px !important;">NRII endogenously has phosphatase and kinase activity, and thus to control the phosphatase activity, the 3.300LG E.coli strain, which consists of a knocked down version of NRII2302, was used to decouple the circuit from a nitrogen dependent PII signal transduction pathway. </p>
  
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<p class ='large' style="text-align: center !important"><img align="center" src="https://static.igem.org/mediawiki/2016/1/10/T--William_and_Mary--Synthetic_Enhancer_Fig2.png"><br>Figure 2. Adapted from Amit et. al. a. Cartoon representation of how the synthetic enhancer suite works.  The DNA binding NRI-P hexamer has to bind to the enhancer binding sites and this complex can loop (shown on the right) and kinetically bind with the poised promoter to allow for the transcription of NRI and mCherry.  The NRI production allows for positive feedback so as long as it gets phosphorylated by NRII2302 (expressed by pACT Tet helper plasmid), it can bind to the enhancer sequences and continue expression.  Adding TetR repressor binding sites between the promoter and enhancer regions can weaker the probability of the looping event and reduce the expression of NRI and mCherry at a given bound state.</p>
Say you have a transcription factor TetR, which binds to some promoter, say pTet, which effects the production of some gene, GFP then the concentration of that repressor is related to the production of that gene product. That is to say, for our circuit that you can go from [TetR] -> [GFP] or in a more measurable sense [TetR] -> Fluorescence <b>(Figure 1.5)</b>
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<div align="center"><h3 style='padding-top: 50px; padding-bottom: 50px;'>Concept</h3></div>
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<p class='large' style="padding-top:30px !important;">Unlike the traditional model of repression, this circuit does not use the repressor to block or compete for the RNA polymerase binding site, but rather decreases the likelihood for the enhancer to loop and bind to the promoter region.</p>
<img src="https://static.igem.org/mediawiki/2016/8/8c/T--William_and_Mary--BA-F2-V1-.png"><br>Figure 1.5: Example circuit. pTet GFP is repressed by TetR, and this relationship is repressed by the introduction of the small molecule inducer aTC. Diagram made with pidgeon cad.</p>
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<p class='large' style="padding-top:30px !important;">To affect the looping probability, Amit et. al. cloned in TetR repressor binding sites, TetO sites, within the Spacer region (region between the NRI binding sites and enhancer which promotes the looping and activation of transcription).  The binding of TetR causes DNA to become less flexible as to weaken the looping process and decrease the quantity of output depending on how many repressor proteins are bound to the TetO sites at a given time.</p>
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<p class='large' style="padding-top:30px !important;">Amit et. al. used small molecule induction with anhydrous-tetracycline (aTc) to modulate the conversion of a variable induced concentration input into discrete or step like output expressions via discrete number of TetO binding sites between the promoter and enhancer, affecting looping propensity. For example, in Figure 3, Amit et. al. generated a synthetic enhancer suite that has three TetO sites between the promoter and enhancer. Conceptually, these three sites, should allow for four different states of expression: 1. Completely repressed state when there is almost no aTc in the cell to block the TetR from binding and repressing the looping, 2. An intermediate step where there is enough aTc to bind to TetR as to allow for an average of 2 TetRs to be available to bind to the TetO sites and partially repress the expression, 3. A second intermediate step where there is more aTc in the cell than the former situation as to allow for only very few TetR being active and available to bind and repress the circuit and finally 4. Enough aTc to reach the saturated, unrepressed state of the circuit where there most of the aTc is bound to a TetR, making it functionally inactive to bind to TetO and repress the circuit.</p>
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<p class ='large' style="text-align: center !important"><img align="center" src="https://static.igem.org/mediawiki/2016/3/30/T--William_and_Mary--52s_from_Paper_Fig3.png"><br>Figure 3. Graph adapted from Amit et. al., showing the three discrete steps of the transfer function once three TetO binding sites were placed between the promoter and enhancer, affecting the looping and transcriptional activation propensity. There are 4 discrete steps, consecutively shown on the graph as the aTc concentration increases logarithmically as a completely repressed state, two intermediate states, and an unrepressed state.  The data was plotted on the y-axis as the ratio of the fluorescence level measured in the presence of a given aTc concentration divided by the maximum fluorescence level. </p>
  
<p class='large'>This makes sense, because the chance of the transcription factor being bound to a given promoter is based on the number of transcription factors as well as the number of unbound promoters. Since the number of promoters is more or less held constant by plasmid number, you can model production of the gene under the control of the promoter off of [Transcription Factor] alone. So you can use molecular titration to shift your transfer function by making any given amount of transcription factor be equivalent to a smaller amount.</p>
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<div align="center"><h3 style='padding-top: 50px; padding-bottom: 50px;'>Results</h3></div>
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<p class='large' style="padding-top:30px !important;">In order to apply the concept of modulating a transfer function by having the ability to create a multimodal dose-response regulatory output function, we first wanted to reproduce the results from the Amit et al. paper.  We managed to get plasmids with different number of TetO binding sites within the looping region and transformed them into the special 3.300LG strain (gift from Orna Atar).  Our main plasmid had three TetR binding sites and was transformed with a pACT Tet helper plasmid, which allows the constitutive expression of LacI, TetR, and NRII2302. After inducing our system with different concentrations of aTc, we were able to replicate Amit’s step-like graph with four discrete states of expression as shown in <b>Figure 4</b>.</p>
  
<p class='large'>Coming back to our example, since TetR is a repressor, as we increase [TetR] we get a corresponding decrease in fluorescence. If we then introduce a decoy binding array encoding a repeated number of tetO (TetR binding sites), say 85 of them, then for some [TetR], we actually have a working [TetR] of some amount less (Figure 2) That means at a given [TetR] in our circuit with the decoy binding array we have the fluorescence of a different lesser [TetR] of our original circuit. This is a shift along the x axis to the right. </p>
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<p class ='large' style="text-align: center !important"><img align=center src="https://static.igem.org/mediawiki/2016/f/f2/T--William_and_Mary--SE_Fig4.PNG"><br>Figure 4. Reproduction of Amit et. al. work by WM iGEM 2016.  The 3.300LG strain was transformed with the helper plasmid as well as the synthetic enhancer construct (52S) with three TetO binding sites affecting the looping propensity between the enhancer and promoter region, allowing for the modulation of discrete states of output. The data was plotted on the y-axis as the ratio of the fluorescence level measured in the presence of a given aTc concentration divided by the maximum fluorescence level. The shading represents the standard error of the mean.</p>
  
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<p class='large' style="padding-top:30px !important;">However, Amit et. al. included a lacO site in front of their reporter, allowing them to turn “on” the synthetic enhancer suite with IPTG. In order the make the synthetic enhancer more useful for integration into a genetic circuit, we wanted it to be reliant on as few inducers as possible.  Thus, we removed the LacI expression dependent feature from the synthetic enhancer by extracting only the functional coding region and promoter for NRII from the pACT Tet helper plasmid from Amit et al.  Because NRII was part of an operon and thus only had the translational stop codon, but not a transcriptional terminator, we cloned in a B0015 double terminator at the end of the sequence. We then used Gibson Assembly to put the NRII insert into the UNS flanked Biobrick standard backbone and submitted it into the registry as Bba_K2066112.  Subsequently, we cloned the functional NRII unit onto the same plasmid as our 52S construct (which has the three TetR binding sites) in an attempt to reduce number of plasmids required for transformations and thus keep the metabolic strain on the cell low.</p>
<img src="https://static.igem.org/mediawiki/2016/5/52/T--William_and_Mary--BA-F3-V1-.png"><br>Figure 2: Schematic illustration of the effect of molecular titration on a transfer function. You can see in the original circuit that once TetR reaches a high enough concentration, the fluorescence (GFP production) goes down, until it reaches a point of maximal repression. In the circuit with the binding array, each [TetR] actually corresponds to a lower working [TetR], shifting the transfer function to the right. </p>
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<p class='large'>We can also think about the molecular titration from an induction level. Suppose we use the same reporter circuit pTet GFP and instead of having a variable amount of TetR we instead constitutively express it such that we have a constant amount. Since we only ever have one concentration of TetR, the amount of fluorescence will always be the same. However, when we induce with aTC (which causes TetR to be unable to bind), then there will be functionally less TetR, and thus a higher amount of fluorescence (Figure 3). If we add a decoy binding array, each amount of working TetR remaining, will be functionally equivalent to less due to molecular titration.</p>
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<p class='large' style="padding-top:30px !important;">In summary, the three modifications WM iGEM 2016 did to the Synthetic Enhancer constructs gifted by Amit et. al. were:<br>
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1.We moved the 52S construct with three TetR binding sites onto the BioBrick backbone flanked by the UNS regions for ease of cloning (BBa_ K2066120).<br>
<img src="https://static.igem.org/mediawiki/2016/8/8e/T--William_and_Mary--BA-F4-V1-.png"><br>Figure 3: Schematic illustration of an induction curve of a circuit repressed by TetR. Note that until a certain threshold of aTC is reached, there is so much TetR available to bind that very little GFP is produced. When the binding array is added, that shifts to the left, as each [TetR] is functionally equivalent to less.</p>
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2. We then removed the synthetic enhancers system’s reliance on LacI/IPTG induction to make it more compatible with use in genetic circuits.<br>  
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3. Finally, we put the helper NRII expression and the synthetic enhancer suite onto the same plasmid backbone to make it more compatible with the existing genetic circuitry in the cell.</p>
  
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<p class='large' style="padding-top:30px !important;">After doing these modifications, we cotransformed 3.300LG strain with the novel 52S and NRII plasmid along with a plasmid that could constitutively express TetR (BBa_I739001).  We induced the plasmid with varying concentrations of aTc and characterized the updated synthetic enhancer circuit. We were able to confirm that the multi-step response is preserved though our modifications.</p>
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<p class ='large' style="text-align: center !important"><img align="center" src="https://static.igem.org/mediawiki/2016/7/70/T-William_and_Mary--SE_Fig5.PNG"><br>Figure 5. 3.300LG cells were transformed with our updated synthetic enhancer construct BBa_K2066114 and a constitutive tetR expression cassette on pSB1A3. Data shows four discrete steps, representing the four different binding states of TetR modulated by the inducer concentration, which affects the looping propensity and thus, the overall quantitative expression of the output.  The data was plotted on the y-axis as the ratio of the fluorescence level measured in the presence of a given aTc concentration divided by the maximum fluorescence level.  The shading represents the standard error of the mean.</p>
  
<p class='large' style="padding-top:30px !important;">The ability to tune the threshold of transfer functions embodies the ethos of the Circuit Control Toolbox. Oftentimes a practical iGEM project ends up infeasible as a real world solution due to inability to tune the threshold of sensitivity. For example, a cancer detector whose reporter function is either too sensitive or not sensitive enough. While the binding array portion of the Circuit Control Toolbox is designed to be able to orthogonally slot onto any existing circuit, binding arrays can be used in any circuit regardless of the use of our toolbox. Since a binding array requires only that the circuit it modifies contain a DNA binding transcription factor, binding arrays can be constructed (using the method detailed below) for almost all circuits.</p>
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<p class='large' style="padding-top:30px !important;">In addition to validating the results in Amit et al. for the 3x tetO Synthetic Enhancer construct, we also redesigned it for better compatibility for use in genetic circuitry. This provides the first construction and characterization of a synthetic enhancer construct on the BioBrick standard, which will open a wide range of possibilities for iGEM teams and scientists interested in taking advantage of the rich theory and literature on the design and behavior of multi-step digital circuitry.</p>
  
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<div align="center"><h3 style='padding-top: 50px; padding-bottom: 50px;'>Source</h3></div>
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<p class='large' style="padding-top:30px !important;">Synthetic enhancer sequences and concept derived from:<br>
  
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Amit, R., Garcia, H. G., Phillips, R. & Fraser, S. E. Building enhancers from the ground up: a synthetic biology approach. <i>Cell</i> <b>146</b>, 105–118 (2011).</p>
<h3 style='padding-top: 50px; padding-bottom: 50px;'>Experiments</h3>
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<p class='large'>To test our ability to shift an arbitrary circuit, we first attempted to shift our previous example circuit, a pTet GFP and constitutive expressed TetR. We obtained a plasmid containing 85 TetO repeats off of Addgene from Finney-Manchester et al. (2013) (“Harnessing mutagenic homologous recombination for targeted mutagenesis in vivo by TaGTEAM). We moved the segment containing the repeats to the Biobrick Backbone, and then transformed a reporter circuit containing pTet GFP and TetR (Bba_K2066053) on the high copy plasmid 1A3 either with or without the repeat array on the high copy 1C3 backbone. We induced both circuits with varying concentrations of aTC and then measured fluorescence using flow cytometry, which allowed us to get single cell level resolution (Figure 5)</p>
 
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<img src="https://static.igem.org/mediawiki/2016/0/06/T--William_and_Mary--BA-F5-V1-.png"><br>Figure 5: Population level FACs data comparing the relative fluorescence of a pTet GFP and TetR reporter with and without a tetO binding array. While the data is noisy, it is clear that the inflection point of the circuit with the binding array has shifted to the left as expected. Additionally, both circuits experienced a decrease in fluorescence at higher aTC concentrations, which was thought to be a result of ATC causing toxicity at high levels. However, during the course of our modeling we found that in fact this is the expected result of a repressor system.</p>
 
  
<p class='large'>We also created a mathematical model of a TetO binding array, and found that our data closely mirrored the expected results (Figure 6).</p>
 
<p style="text-align: center"><img src="https://static.igem.org/mediawiki/2016/5/58/T--William_and_Mary--BA-F6-V1-.png"><br>Figure 6: Plot of predicted absolute fluorescence and observed experimental fluorescence for systems with and without 85x binding array. Reduced fluorescence at high [aTC] is an expected result from our model, as is a reduction in absolute fluorescence. It is likely that an 85x binding array on a high copy backbone shifts the function too far. Model predictions indicate that a smaller number around 5 would be more appropriate. (See modeling page.)</p>
 
  
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<p class='large' style="padding-top:30px !important;">While the 85x array will undoubtedly be useful to many teams in the future, one of the strengths of decoy binding arrays is their modularity. Since the magnitude of the shift is determined by the number of binding sites, it is possible to vary the magnitude of the shift by using the same binding array on different copy number plasmids. While this allows for more possible numbers of total binding sites, it is inherently limited by the fact that there are only a limited number of plasmid origins. To get around this problem we decided to submit to the registry a suite of Iterative Capped Assembly (ICA) parts that can be used to assemble a TetO or LacO binding array of any size. These parts were designed based upon the ICA method of assembling repeat sequences from Briggs, et al. 2012 (“Iterative capped assembly: rapid and scalable synthesis of repeat-module DNA such as TAL effectors from individual monomers”). </p>
 
  
<p class='large'>Additionally, for the tetO ICA parts we submitted 3 different versions, with either 8,16 or 64 base pair spacers between the tetO monomers, this is because it has been suggested by Amit et al. 2012 (“Building Enhancers from the Ground Up: A Synthetic Biology Approach” that anticooperativity plays a role in the effectivity of DNA protein binding. Anticoopritivity means that if two repressor binding sites are very close to each other, a repressor binding to one can spatially hinder, or even completely prevent a repressor from binding to the other. We thought that enabling another level of tuning to allow for even finer levels of shift magnitude by altering the level of anticooperativity would be a useful tool to include within the binding array section of the toolbox. Finally, to help future teams get started, we created a mathematical model to determine the strength of titration needed to shift their transfer function, as well as the number of repeats required to achieve that titration for a given tetO or LacO array.</p>
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Latest revision as of 21:37, 1 December 2016


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Synthetic Enhancer

Background

One of the fundamental constraints of an electrical engineering style way of thinking about genetic circuitry is that electrical circuits often include digital, often binary, states of expression. This kind of input-output relationship showing two discrete “on” and “off” states is represented by the illustrative gene expression curve in Figure 1. As one can see, although the binary interpretation is appropriate at the low and high extremes of inducer concentration, there is an intermediate region where the continuous, or analog nature of gene expression becomes important.


Figure 1. Illustration of induction curve for generic gene expression

A natural way to expand on the advantages of the digital-circuit paradigm while incorporating the non-binary characteristics of gene expression is to develop genes and circuits which can exhibit discrete, multi-step response profiles. These would allow circuits to exhibit not just “off” and “on” states, but a number of intermediate, discrete states to better facilitate both precision of circuit behavior and readout as well as the expansion of the possibilities in the computation that can be performed with genetic circuitry.

Often people will use the low and high expression regions to represent the analogous expression levels to binary 0 and 1, respectively. However, Amit et. al. developed a method by which intermediate levels of gene expression can be obtained in a stable, non-transient manner. To do so, they created a synthetic enhancer suites, schematically shown in Figure 2, consisting of enhancer binding sites, an assembled σ54 promoter, and small cassettes between the enhancer and the promoter, which can house DNA binding proteins in different combinations. It is the looping of the DNA from the enhancer to the promoter that causes an interaction that allows for transcription of the output. Binding of repressor proteins, such as TetR, to the addition cassettes between the enhancer and promoter can affect the flexibility of DNA looping and thus make it thermodynamically more difficult for the interaction to take place and thus suppresses transcriptional initiation. This synthetic enhancer suite can not only increase the complexity and sensitivity of a circuit, but also allow for a multimodal response with addition of discrete sets of defined enhancer binding protein binding sites, TetR, that interact independently from the enhancer and promoter.

Mechanism

The physical interaction between the assembled σ54 promoter complex (glnAp2) and enhancer sites causes the activation of transcription. Amit et. al. generated a genetic circuit regulated by the availability of NRI binding protein as well as the NRII2302 helper protein, which can phosphorylate the NRI protein and activate it as to allow it to bind to the enhancer region. Once this happens, the looping (shown in Figure 2) the DNA from the enhancer to the promoter allows for transcription of more NRI (positive feedback) as well as the fluorescent reporter. When repressor binding sites are placed in the spacer region between the enhancer and promoter, this allows for the regulation of output. The TetR binding makes the DNA looping harder and more rigid, resulting in less transcription of the fluorescent reporter. Multiple repressor binding sites can give rise to discrete number of TetR binding to the region at a given time, thus modulating the ability for the DNA to loop, ultimately giving rise to different states of expression depending on the availability of functional apo-repressor protein.

NRII endogenously has phosphatase and kinase activity, and thus to control the phosphatase activity, the 3.300LG E.coli strain, which consists of a knocked down version of NRII2302, was used to decouple the circuit from a nitrogen dependent PII signal transduction pathway.


Figure 2. Adapted from Amit et. al. a. Cartoon representation of how the synthetic enhancer suite works. The DNA binding NRI-P hexamer has to bind to the enhancer binding sites and this complex can loop (shown on the right) and kinetically bind with the poised promoter to allow for the transcription of NRI and mCherry. The NRI production allows for positive feedback so as long as it gets phosphorylated by NRII2302 (expressed by pACT Tet helper plasmid), it can bind to the enhancer sequences and continue expression. Adding TetR repressor binding sites between the promoter and enhancer regions can weaker the probability of the looping event and reduce the expression of NRI and mCherry at a given bound state.

Concept

Unlike the traditional model of repression, this circuit does not use the repressor to block or compete for the RNA polymerase binding site, but rather decreases the likelihood for the enhancer to loop and bind to the promoter region.

To affect the looping probability, Amit et. al. cloned in TetR repressor binding sites, TetO sites, within the Spacer region (region between the NRI binding sites and enhancer which promotes the looping and activation of transcription). The binding of TetR causes DNA to become less flexible as to weaken the looping process and decrease the quantity of output depending on how many repressor proteins are bound to the TetO sites at a given time.

Amit et. al. used small molecule induction with anhydrous-tetracycline (aTc) to modulate the conversion of a variable induced concentration input into discrete or step like output expressions via discrete number of TetO binding sites between the promoter and enhancer, affecting looping propensity. For example, in Figure 3, Amit et. al. generated a synthetic enhancer suite that has three TetO sites between the promoter and enhancer. Conceptually, these three sites, should allow for four different states of expression: 1. Completely repressed state when there is almost no aTc in the cell to block the TetR from binding and repressing the looping, 2. An intermediate step where there is enough aTc to bind to TetR as to allow for an average of 2 TetRs to be available to bind to the TetO sites and partially repress the expression, 3. A second intermediate step where there is more aTc in the cell than the former situation as to allow for only very few TetR being active and available to bind and repress the circuit and finally 4. Enough aTc to reach the saturated, unrepressed state of the circuit where there most of the aTc is bound to a TetR, making it functionally inactive to bind to TetO and repress the circuit.


Figure 3. Graph adapted from Amit et. al., showing the three discrete steps of the transfer function once three TetO binding sites were placed between the promoter and enhancer, affecting the looping and transcriptional activation propensity. There are 4 discrete steps, consecutively shown on the graph as the aTc concentration increases logarithmically as a completely repressed state, two intermediate states, and an unrepressed state. The data was plotted on the y-axis as the ratio of the fluorescence level measured in the presence of a given aTc concentration divided by the maximum fluorescence level.

Results

In order to apply the concept of modulating a transfer function by having the ability to create a multimodal dose-response regulatory output function, we first wanted to reproduce the results from the Amit et al. paper. We managed to get plasmids with different number of TetO binding sites within the looping region and transformed them into the special 3.300LG strain (gift from Orna Atar). Our main plasmid had three TetR binding sites and was transformed with a pACT Tet helper plasmid, which allows the constitutive expression of LacI, TetR, and NRII2302. After inducing our system with different concentrations of aTc, we were able to replicate Amit’s step-like graph with four discrete states of expression as shown in Figure 4.


Figure 4. Reproduction of Amit et. al. work by WM iGEM 2016. The 3.300LG strain was transformed with the helper plasmid as well as the synthetic enhancer construct (52S) with three TetO binding sites affecting the looping propensity between the enhancer and promoter region, allowing for the modulation of discrete states of output. The data was plotted on the y-axis as the ratio of the fluorescence level measured in the presence of a given aTc concentration divided by the maximum fluorescence level. The shading represents the standard error of the mean.

However, Amit et. al. included a lacO site in front of their reporter, allowing them to turn “on” the synthetic enhancer suite with IPTG. In order the make the synthetic enhancer more useful for integration into a genetic circuit, we wanted it to be reliant on as few inducers as possible. Thus, we removed the LacI expression dependent feature from the synthetic enhancer by extracting only the functional coding region and promoter for NRII from the pACT Tet helper plasmid from Amit et al. Because NRII was part of an operon and thus only had the translational stop codon, but not a transcriptional terminator, we cloned in a B0015 double terminator at the end of the sequence. We then used Gibson Assembly to put the NRII insert into the UNS flanked Biobrick standard backbone and submitted it into the registry as Bba_K2066112. Subsequently, we cloned the functional NRII unit onto the same plasmid as our 52S construct (which has the three TetR binding sites) in an attempt to reduce number of plasmids required for transformations and thus keep the metabolic strain on the cell low.

In summary, the three modifications WM iGEM 2016 did to the Synthetic Enhancer constructs gifted by Amit et. al. were:
1.We moved the 52S construct with three TetR binding sites onto the BioBrick backbone flanked by the UNS regions for ease of cloning (BBa_ K2066120).
2. We then removed the synthetic enhancers system’s reliance on LacI/IPTG induction to make it more compatible with use in genetic circuits.
3. Finally, we put the helper NRII expression and the synthetic enhancer suite onto the same plasmid backbone to make it more compatible with the existing genetic circuitry in the cell.

After doing these modifications, we cotransformed 3.300LG strain with the novel 52S and NRII plasmid along with a plasmid that could constitutively express TetR (BBa_I739001). We induced the plasmid with varying concentrations of aTc and characterized the updated synthetic enhancer circuit. We were able to confirm that the multi-step response is preserved though our modifications.


Figure 5. 3.300LG cells were transformed with our updated synthetic enhancer construct BBa_K2066114 and a constitutive tetR expression cassette on pSB1A3. Data shows four discrete steps, representing the four different binding states of TetR modulated by the inducer concentration, which affects the looping propensity and thus, the overall quantitative expression of the output. The data was plotted on the y-axis as the ratio of the fluorescence level measured in the presence of a given aTc concentration divided by the maximum fluorescence level. The shading represents the standard error of the mean.

In addition to validating the results in Amit et al. for the 3x tetO Synthetic Enhancer construct, we also redesigned it for better compatibility for use in genetic circuitry. This provides the first construction and characterization of a synthetic enhancer construct on the BioBrick standard, which will open a wide range of possibilities for iGEM teams and scientists interested in taking advantage of the rich theory and literature on the design and behavior of multi-step digital circuitry.

Source

Synthetic enhancer sequences and concept derived from:
Amit, R., Garcia, H. G., Phillips, R. & Fraser, S. E. Building enhancers from the ground up: a synthetic biology approach. Cell 146, 105–118 (2011).