Difference between revisions of "Team:BostonU/Design"

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<div id = "design" style = "font-size:300%; padding:75px 50px 25px 50px; text-align:center; color:#0071A7;">Design</div>
 
<div id = "design" style = "font-size:300%; padding:75px 50px 25px 50px; text-align:center; color:#0071A7;">Design</div>
  
<p style = "font-size:150%; padding:25px 150px 20px 150px; color:#0071A7;">Once we were able to activate genes, we then expanded our system to activate genes to different levels, thereby achieving the graded analog expression level that we desired from our system. To accomplish this, we multermerized the 20 base pair target sequence, placing multiple copies
+
<p style = "font-size:150%; padding:25px 150px 20px 150px; color:#0071A7;">To obtain our system of well characterized mammalian digital and analog promoters, we divided our work space into three technical aims:
of the target sequence upstream of the gene. By varying the number of copies, we were able to create a gradient of expression. The more target sequences we added, the more the gene was activated. This is illustrated in the image below:</p>
+
 +
Development of a digital promoter library
 +
Expansion into an analog promoter library
 +
Integration of our parts into genetic circuit contexts
 +
 
 +
To complete these goals we made use of the three class of plasmids: a constitutive guide RNA expressing vector driven by a, a guide RNA operator reporter vector driven by a minimal CMV, and a constitutive dCas9-VPR complex. dCas9, like its sister system Cas9, works by using CRISPR’s targeting system and a guide RNA to find specific section of the genome. Where they differ is in how the proteins interact with the genome. While Cas9 has a nuclease that can cleave the DNA, dCas9’s nuclease was catalytically inhibited. This results in a protein that can be localized to a region of DNA but cannot interact with it. When fused, however, to the VPR, a strong activating complexation of transcription regulators, the dCas9 becomes an activating complex that can drive the production of a gene.  
 +
 
 +
In our work, those genes of interest were fluorescent proteins. The benefit of using fluorescent proteins is that they are easily assayable. The two assaying techniques used throughout are research were flow cytometry and fluorescent microscopy (the latter courtesy of Worcester Polytechnic Institute’s iGEM Team). In both cases, however, the process to assay began the same. Plasmids were transiently transfected into HEK293FT cells from E.coli.
 +
</p>
  
 
<br><center><hr style= "width:60%; height: 3px; background-color:#0071A7"></center><br>
 
<br><center><hr style= "width:60%; height: 3px; background-color:#0071A7"></center><br>
  
 
<br><br><center style = "font-size:225%; color:#0071A7;">Phase 1:</center><br>
 
<br><br><center style = "font-size:225%; color:#0071A7;">Phase 1:</center><br>
<center style = "font-size:200%; color:#0071A7;">Gene Activation Component</center>
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<center style = "font-size:200%; color:#0071A7;">Developing a Digital Library</center>
  
<p style = "font-size:150%; padding:25px 150px 20px 150px; color:#0071A7;">In order to make genes activate in response to certain signals, our system first needed a method to activate genes in general. We chose CRISPR/dCAS9-VPR as an activator. We chose  dCAS9 due to its ease of use and its ability to target specific DNA sequences. dCAS9-VPR targets specific sequences by binding to specialized RNA. Part of this RNA (gRNA) contains 20 base pairs that will act as a guide, guiding the dCAS9 to the complimentary 20 base pairs found upstream of a gene one wishes target. This can be seen in the info-graphic below:</p>
+
<p style = "font-size:150%; padding:25px 150px 20px 150px; color:#0071A7;">We began our work by developing the digital promoter library. Before moving into experimentation, we made several design constraints. The first being that our system had to be orthogonal to the human genome. The motivation behind this was two-fold. Primarily, it stems from our testing in human cells and the need for true cellular response. The second, however, is more far removed from the competition. We as a lab feel our work could have long reaching effects in therapeutics and immunotherapy, and thus we want to begin optimizing our system with that in mind.  
 +
 
 +
Once we have determined our system is orthogonal to the human genome, we needed to ascertain if our system had clear activated and basal state changes when dCas9-VPR is added. This behavior needed to maintained over multiple genes interest. Finally, our system need mutual orthogonality. Because ultimately we intend to transfect gene circuits and operators into a single cell, we must be sure that there will be no cross talk between state outputs of the circuits.
 +
</p>
  
  
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<br><br><br><center style = "font-size:225%; color:#0071A7;">Phase 2:</center><br>
 
<br><br><br><center style = "font-size:225%; color:#0071A7;">Phase 2:</center><br>
<center style = "font-size:200%; color:#0071A7;">Analog Expression System</center>
+
<center style = "font-size:200%; color:#0071A7;">Expanding to an Analog Library</center>
  
<p style = "font-size:150%; padding:25px 150px 20px 150px; color:#0071A7;">Once we were able to activate genes, we then expanded our system to activate genes to different levels, thereby achieving the graded analog expression level that we desired from our system. To accomplish this, we multermerized the 20 base pair target sequence, placing multiple copies
+
<p style = "font-size:150%; padding:25px 150px 20px 150px; color:#0071A7;">After establishing the digital library, we moved to expand into our full analog library. We did this using two main hypotheses: the multimerization of binding sites would increase expression and the mutation of binding sites would decrease expression. In the case of the former, the multimerization would recruit a greater number of dCas9-VPR’s upstream of the minimal promoter. In the case of the former, mutations should decrease the binding affinity of the dCas9-VPR. In addition to those parameters, we also increased the distance between binding sites on the multimerized plasmids in another attempt to increase expression.
of the target sequence upstream of the gene. By varying the number of copies, we were able to create a gradient of expression. The more target sequences we added, the more the gene was activated. This is illustrated in the image below:</p>
+
Once the library was expanded out into the analog domain, we begun integrating our library into genetic logic circuits. The motivation behind doing this was is once again two fold (catching a theme here… wink… wink...Gemini). First, genetic circuits represent one of synthetic biology’s most powerful tools. Circuits have become integral in our search for better immunotherapy procedures. Also, genetic circuits grant a scientist a greater capacity to mimic naturally cellular behavior for synthetic operations.
 +
</p>
  
 
<center><img src = "https://static.igem.org/mediawiki/2016/d/d9/T--BostonU--multimerization.png" style = "padding:0px 0px 50px 0px;; width:80%;"></center>
 
<center><img src = "https://static.igem.org/mediawiki/2016/d/d9/T--BostonU--multimerization.png" style = "padding:0px 0px 50px 0px;; width:80%;"></center>
  
 
<br><br><br><center style = "font-size:225%; color:#0071A7;">Phase 3:</center><br>
 
<br><br><br><center style = "font-size:225%; color:#0071A7;">Phase 3:</center><br>
<center style = "font-size:200%; color:#0071A7;">Signal Integration Components</center>
+
<center style = "font-size:200%; color:#0071A7;">Integrating our Library into Genetic Circuit Contexts</center>
 +
 
 +
<p style = "font-size:150%; padding:25px 150px 20px 150px; color:#0071A7;">There were two distinct class of circuits we aimed to develop. The first is a combinatorial digital logic circuit. These circuits are defined by their binary outputs as well as their ignorance towards input order. In a biological context, a binary output would be the expression or absence of expression of a gene of interest. The second type of circuit is the combinatorial analog logic circuit. These circuit are defined by their analog output of a single gene as well as their ignorance towards input order. In a biological context, this behavior can be modelled by increasing the expression of gene as one shifts from a given logical state to another logical state.
 +
</p>
  
<p style = "font-size:150%; padding:25px 150px 20px 150px; color:#0071A7;">Finally, we integrated our characterized analog parts into recombinase based circuit. These circuits use inducible recombinase proteins to excise DNA marked by specific sequences. When different combinations of recombinases are activated by digital signals, different combinations of the gene circuit are excised. Based on what parts are excised decides which one of several gRNA's to express, guiding the dCAS9-VPR activator to its corresponding operator. When a new combination of recombinases is activated, a different gRNA is released, guiding the activator to a different operator. This circuit is co-transfected with plasmids containing the same gene of interests, but different operators. The first plasmid could have one operator corresponding to the first gRNA; the second plasmid could have a second operator multimerized twice. Thus when gRNA 1 is expressed, we see expression of the gene of interest, and when gRNA two is expressed, we see an increase in expression. A diagram of this process can be found below. As we integrate more signals and more recognition site, we can increase the number of inputs and outputs. The finished product relied on digital singnals, (the recombinases are activated by digital signals such as a hormone prescense) and gave rise to different levels of analog gene expression, as stated in our goal.</p>
+
<p style = "font-size:150%; padding:25px 150px 20px 150px; color:#0071A7;">Each design parameter mentioned above required its own distinct set of experiments to prove our system could achieve them. Ultimately, we were able to prove that Gemini could fulfill all design parameters. The evidence of this can be seen under our Proof of Concept.
 +
</p>
  
 
<center><img src = "https://static.igem.org/mediawiki/2016/0/06/T--BostonU--RealRecombinase.png" style = "padding:0px 0px 50px 0px;; width:80%;"></center>
 
<center><img src = "https://static.igem.org/mediawiki/2016/0/06/T--BostonU--RealRecombinase.png" style = "padding:0px 0px 50px 0px;; width:80%;"></center>

Revision as of 20:50, 12 October 2016


Description

Results

Description
Design

To obtain our system of well characterized mammalian digital and analog promoters, we divided our work space into three technical aims: Development of a digital promoter library Expansion into an analog promoter library Integration of our parts into genetic circuit contexts To complete these goals we made use of the three class of plasmids: a constitutive guide RNA expressing vector driven by a, a guide RNA operator reporter vector driven by a minimal CMV, and a constitutive dCas9-VPR complex. dCas9, like its sister system Cas9, works by using CRISPR’s targeting system and a guide RNA to find specific section of the genome. Where they differ is in how the proteins interact with the genome. While Cas9 has a nuclease that can cleave the DNA, dCas9’s nuclease was catalytically inhibited. This results in a protein that can be localized to a region of DNA but cannot interact with it. When fused, however, to the VPR, a strong activating complexation of transcription regulators, the dCas9 becomes an activating complex that can drive the production of a gene. In our work, those genes of interest were fluorescent proteins. The benefit of using fluorescent proteins is that they are easily assayable. The two assaying techniques used throughout are research were flow cytometry and fluorescent microscopy (the latter courtesy of Worcester Polytechnic Institute’s iGEM Team). In both cases, however, the process to assay began the same. Plasmids were transiently transfected into HEK293FT cells from E.coli.






Phase 1:

Developing a Digital Library

We began our work by developing the digital promoter library. Before moving into experimentation, we made several design constraints. The first being that our system had to be orthogonal to the human genome. The motivation behind this was two-fold. Primarily, it stems from our testing in human cells and the need for true cellular response. The second, however, is more far removed from the competition. We as a lab feel our work could have long reaching effects in therapeutics and immunotherapy, and thus we want to begin optimizing our system with that in mind. Once we have determined our system is orthogonal to the human genome, we needed to ascertain if our system had clear activated and basal state changes when dCas9-VPR is added. This behavior needed to maintained over multiple genes interest. Finally, our system need mutual orthogonality. Because ultimately we intend to transfect gene circuits and operators into a single cell, we must be sure that there will be no cross talk between state outputs of the circuits.




Phase 2:

Expanding to an Analog Library

After establishing the digital library, we moved to expand into our full analog library. We did this using two main hypotheses: the multimerization of binding sites would increase expression and the mutation of binding sites would decrease expression. In the case of the former, the multimerization would recruit a greater number of dCas9-VPR’s upstream of the minimal promoter. In the case of the former, mutations should decrease the binding affinity of the dCas9-VPR. In addition to those parameters, we also increased the distance between binding sites on the multimerized plasmids in another attempt to increase expression. Once the library was expanded out into the analog domain, we begun integrating our library into genetic logic circuits. The motivation behind doing this was is once again two fold (catching a theme here… wink… wink...Gemini). First, genetic circuits represent one of synthetic biology’s most powerful tools. Circuits have become integral in our search for better immunotherapy procedures. Also, genetic circuits grant a scientist a greater capacity to mimic naturally cellular behavior for synthetic operations.




Phase 3:

Integrating our Library into Genetic Circuit Contexts

There were two distinct class of circuits we aimed to develop. The first is a combinatorial digital logic circuit. These circuits are defined by their binary outputs as well as their ignorance towards input order. In a biological context, a binary output would be the expression or absence of expression of a gene of interest. The second type of circuit is the combinatorial analog logic circuit. These circuit are defined by their analog output of a single gene as well as their ignorance towards input order. In a biological context, this behavior can be modelled by increasing the expression of gene as one shifts from a given logical state to another logical state.

Each design parameter mentioned above required its own distinct set of experiments to prove our system could achieve them. Ultimately, we were able to prove that Gemini could fulfill all design parameters. The evidence of this can be seen under our Proof of Concept.