ETHZ/Biology

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<a href="https://2007.igem.org/wiki/index.php?title=ETHZ/Model#Introduction">Introduction</a>
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<a href="https://2007.igem.org/wiki/index.php?title=ETHZ/Model#Model_Overview">Model Overview</a>
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<a href="https://2007.igem.org/wiki/index.php?title=ETHZ/Simulation#Introduction">Introduction</a>
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<a href="https://2007.igem.org/wiki/index.php?title=ETHZ/Simulation#Simulation_of_Test_Cases">Test Cases</a>
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<a href="https://2007.igem.org/wiki/index.php?title=ETHZ/Simulation#Sensitivity_Analysis">Sensitivity Analysis</a>
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<center>[[ETHZ | Main Page]] &nbsp;&nbsp;&nbsp;&nbsp; [[ETHZ/Model | System Modeling]] &nbsp;&nbsp;&nbsp;&nbsp; [[ETHZ/Simulation | Simulations]] &nbsp;&nbsp;&nbsp;&nbsp; [[ETHZ/Biology | System Implementation]] &nbsp;&nbsp;&nbsp;&nbsp; [[ETHZ/Biology/Lab | Lab Notes]] &nbsp;&nbsp;&nbsp;&nbsp; [[ETHZ/Meet_the_team | Meet the Team]] &nbsp;&nbsp;&nbsp;&nbsp; [[ETHZ/Internal | Team Notes]] &nbsp;&nbsp;&nbsp;&nbsp; [[ETHZ/Pictures | Pictures!]]</center><br>
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<a href="https://2007.igem.org/wiki/index.php?title=ETHZ/Biology#Introduction">Introduction</a>
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<a href="https://2007.igem.org/wiki/index.php?title=ETHZ/Biology#The_Complete_System">The Complete System</a>
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<a href="https://2007.igem.org/wiki/index.php?title=ETHZ/Biology#System_Phases">System Phases</a>
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<a href="https://2007.igem.org/wiki/index.php?title=ETHZ/Biology#Current_Cloning_Status">Current Cloning Status</a>
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<a href="https://2007.igem.org/wiki/index.php?title=ETHZ/Biology/parts">System Parts Page</a>
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<a href="https://2007.igem.org/wiki/index.php?title=ETHZ/Biology/Lab">Lab Notes Page</a>
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<center><font size = '+1'><b> .:: educatETH <i>E.coli</i> - Biology Perspective ::. </b></font></center><br>
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<a href="https://2007.igem.org/wiki/index.php?title=ETHZ/Meet_the_team#The_ETH_Zurich_07_Team">The ETH Zurich 07 Team</a>
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<a href="https://2007.igem.org/wiki/index.php?title=ETHZ/Meet_the_team#Team_Description">Team Description</a>
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<a href="https://2007.igem.org/wiki/index.php?title=ETHZ/Internal">Brainstorming Page</a>
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<p>In this page, you can find an analysis of the function of our system, its biological design, and a list of the parts that it consists of. Are you interested in constructing educatETH <i>E.coli</i> in your lab? Then under [https://2007.igem.org/ETHZ/Biology/Lab Lab Notes], you can find the ingredients and equipment we used, the electronic version of our lab notebook and a presentation of all the difficulties that we encountered. If you are also interested in how educatETH ''E.coli'' was modeled and simulated outside the lab, please visit the [[ETHZ/Model | modeling]] and [[ETHZ/Simulation | simulations]] web pages. </p>
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= Introduction =
= Introduction =
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<p> educatETH <i>E.coli</i> is a system which can distinguish between [http://openwetware.org/wiki/ATc anhydrotetracycline (aTc)] and [http://openwetware.org/wiki/IPTG Isopropyl-beta-D-thiogalactopyranoside (IPTG)] based on a previous training phase conducted with the same chemicals and the help of [http://partsregistry.org/Acyl-HSLs AHL]. It is composed of three subsystems: the subsystem of constitutively produced proteins, the learning subsystem and the reporting subsystem. The constitutively produced proteins (LacI, TetR and LuxR) control the learning subsystem. At the core of the latter there exists a modified and extended version of the Elowitz toggle switch found in [1]. The main difference is reflected in the use of double promoters, so that the toggle switch only changes its state when both, one of the two chemicals (aTc/IPTG), and AHL are present. As AHL is only present during the training phase, the toggle maintains its state during testing, and thus can “memorize”. AHL can therefore be seen as a training- or learning substance. In the reporting subsystem, four reporters ([http://partsregistry.org/Featured_Parts:Fluorescent_proteins fluorescent proteins]) allow supervision of both the chemical the system was trained with and of if the system recognizes the chemical it is being exposed to in the testing phase as one it has been trained with or not.</p><br>
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On this page, you can find an analysis of the function of our system, its biological design, and a list of the parts that make up the system. Under [https://2007.igem.org/ETHZ/Biology/Lab Lab Notes], you can find the ingredients and equipment we used, the electronic version of our lab notebook and a presentation of all the difficulties that we encountered.
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== The complete system ==
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educatETH <i>E.coli</i> is a system which can distinguish between [http://openwetware.org/wiki/ATc anhydrotetracycline (aTc)] and [http://openwetware.org/wiki/IPTG Isopropyl-beta-D-thiogalactopyranoside (IPTG)] based on a previous learning phase conducted with the same chemicals and the help of  [http://partsregistry.org/Acyl-HSLs acylhomoserine lactone (AHL)]. It is composed of three subsystems: the subsystem of constitutively produced proteins, the learning subsystem and the reporting subsystem. The constitutively produced proteins (LacI, TetR and LuxR) control the learning subsystem. At the core of the latter there exists an extended version of the original toggle switch found in [1]. That is, a multi-inducible toggle switch. The main difference is reflected in the use of double promoters, so that the toggle switch only changes its state when both, one of the two chemicals (aTc/IPTG), and AHL are present. As AHL is only present during the learning phase, the toggle maintains its state during testing/recognition, and thus can “memorize”. AHL can therefore be seen as a training- or learning substance. In the reporting subsystem, four reporters ([http://partsregistry.org/Featured_Parts:Fluorescent_proteins fluorescent proteins]) allow supervision of (1.) the chemical the system was trained with and (2.) if the system recognizes the chemical it is being exposed to in the recognition phase as one it has been previously trained with or not.
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<p>The biological design of educatETH <i>E.coli</i> is presented in Fig. 1 [[Image:Biol_system_stand20.10.png|thumb|left|300px|'''Fig. 1:''' Gene interaction network of educatETH ''E.coli'' ]]  and in the following, we will clarify the function of all depicted components. (Are you interested in how the complex system of Fig. 1 was modeled? Then visit the [[ETHZ/Model|  System Modeling]]!)</p><br>
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== The Complete System ==
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==== Constitutive subsystem ====
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<p>[[Image:Biol_system_stand24.10.png|thumb|left|350px|'''Fig. 1:''' Gene interaction network of educatETH ''E.coli'' ]] The biological design of educatETH <i>E.coli</i> is presented in Fig. 1 and below, we clarify the function of all depicted components. (Are you interested in how the complex system of Fig. 1 was modeled? Then visit the [[ETHZ/Model|  System Modeling]]!)</p>
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<p>The constitutively produced proteins of the system are LacI, TetR and LuxR. The LuxR part has a special function: when AHL is present, it forms a LuxR-AHL complex which acts on the learning subsystem (more on this later). At the moment, we will consider that AHL is absent and therefore LuxR cannot act on any subsystems. The TetR and LacI parts behave similarly: more specifically, the TetR protein in the absence of aTc inhibits the production of P22 cII and LacI in the absence of IPTG inhibits the production of cI. When aTc is present, however, the P22 cII production is no longer inhibited (and thus p22 cII is produced). Respectively, cI is produced when IPTG is present.</p>
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==== Constitutive Subsystem ====
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==== Learning subsystem ====
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<p>The constitutively produced proteins of the system are LacI, TetR and LuxR. The LuxR part has a special function: when AHL is present, it forms a LuxR-AHL complex which acts on the learning subsystem (more on this later). For now, we will consider that AHL is absent and therefore LuxR cannot activate transcription. The TetR and LacI parts behave similarly: more specifically, the TetR protein in the absence of aTc inhibits the production of p22cII and LacI in the absence of IPTG inhibits the production of cI. When aTc is present, however, the p22cII production is no longer inhibited (and thus p22cII is produced). Correspondingly, cI is produced when IPTG is present.</p>
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<p>The learning subsystem is a toggle switch with two operator sites. The upper part of the toggle (cI production) has operator sites for the LuxR-AHL complex and P22 cII (which has in turn been induced by aTc). The LuxR-AHL complex induces the cI production, whereas P22 cII inhibits it. The lower part of the toggle (P22 cII production) has operator sites for the LuxR-AHL complex and cI (which has been induced by IPTG). Similarly with the upper part, the LuxR-AHL complex induces the P22 cII production and cI inhibits it. Therefore, the switch always requires the presence of the LuxR-AHL complex in order for it to operate. Its state depends on the presence of P22 cII and cI into the system, which in return was caused through the exposure of the system to aTc and IPTG.</p>
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==== Learning Subsystem ====
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==== Reporting subsystem ====
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<p>The learning subsystem is a toggle switch with two operator sites. The upper part of the toggle (cI production) has operator sites for the LuxR-AHL complex and p22cII (whose production has in turn been induced by aTc). The LuxR-AHL complex induces cI production, whereas p22cII inhibits it. The lower part of the toggle (p22cII production) has operator sites for the LuxR-AHL complex and cI (which has been induced by IPTG). In analogy to the upper part, the LuxR-AHL complex induces production of p22cII and cI inhibits it. Therefore, the switch always requires the presence of the LuxR-AHL complex in order for it to operate. Its state depends on the presence of p22cII and cI in the system, which in turn was caused through the exposure of the system to aTc and IPTG.</p>
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<p>There are four reporters in the system. CFP (more precisely: enhanced CFP, that is eCFP) and YFP (more precisely: enhanced YFP, that is eYFP) are active during the training phase of the system and show which chemical the system is exposed to during training, whereas all four reporters (the latter and GFP and RFP) are active during the testing phase and show if the system is exposed to the same chemical as in training or not.
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==== Reporting Subsystem ====
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More specifically, the YFP protein production is regulated with help of two operator sites controlled by cI and aTc.  cI inhibits YFP production and aTc induces it. Therefore, YFP is produced when the system is exposed to aTc. In a similar manner, the CFP production is produced when the system is exposed to IPTG.
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The GFP production is regulated with help of two operator sites controlled by lacI and .</p><br>
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== System phases ==
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<p>There are four reporters in the system. CFP (more precisely: enhanced CFP, that is ECFP) and YFP (more precisely: enhanced YFP, that is EYFP) are active during the learning phase of the system and show which chemical the system is exposed to during learning, whereas all four reporters (the latter and GFP and RFP) are active during the recognition phase and show if the system is exposed to the same chemical as in learning or not.
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More specifically, the YFP production is regulated with help of two operator sites controlled by cI and aTc (TetR inhibitor). cI inhibits the YFP production and aTc induces it. Therefore, YFP is synthesized when the system is exposed to only aTc and cI is not produced within the system (i.e. the system has not been previously exposed to IPTG). The production of the other fluorescent proteins is regulated in a similar manner. Overall, the production of the fluorescent proteins is regulated as follows:
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*YFP gets produced when the system is exposed to only aTc and no cI is produced (i.e. the system has ''not'' been previously exposed to IPTG).
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*CFP gets produced when the system is exposed to only IPTG and no p22cII is produced (i.e. the system has ''not'' been previously exposed to aTc).
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*GFP gets produced when the system is exposed to only IPTG and no cI is produced (i.e. the system has ''not'' been previously exposed to IPTG).
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*RFP gets produced when the system is exposed to only aTc and no p22cII is produced (i.e. the system has ''not'' been previously exposed to aTc).</p>
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<p>The system operation is divided into two main phases: the training phase and the testing phase. The training phase itself is also subdivided into two phases: seeing and memorizing. During seeing, the system is first exposed to one of the two chemicals it is designed to recognize (aTc and IPTG). AHL is then added and the system’s internal toggle switch reaches a steady state. During memorizing, the chemical used during seeing is removed and only AHL is retained. This maintains the toggle switch to its acquired steady state, which is reported with YFP (if aTc was seen) or CFP (if IPTG was seen). During the testing phase, the system is exposed to any of the two chemicals (aTc or IPTG), with AHL present. By comparing its toggle switch state with the effect of the newly introduced chemical, the system shows a different response if it has previously been exposed to this chemical and reports with the same XFP as in the training phase (YFP for aTc, CFP for IPTG) or if it recognizes a different chemical and reports with a different XFP (GFP for trained with aTc and recognizing IPTG, RFP for trained with IPTG and recognizing aTc).The following table presents all possible paths that may be taken by the system during all phases of operation according to the external stimuli. </p>
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This behaviour is visualized in Fig. 2.
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[[Image:ETHzFlowdiagram2.png|center|thumb|350px|<b>Fig. 2</b>: Flow diagram. This figure shows the protocol with which the final system should be tested, as well as the test results in the form of the reported colors. There are three phases the system has to go through: (1) a training or learning phase in which the system learns an input and stores it in its memory, (2) a memory phase in which the system has to keep the content of its memory and, (3) a recognition phase where the output of the system depends on the content of its memory as well as on the current input. |500px]]
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== System Phases ==
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<p>The system operation is divided into three main phases: a learning phase, a memory phase and a recognition phase. During the learning phase, the system is first exposed to one of the two chemicals it is designed to detect (aTc or IPTG). During the memory phase, the specific chemical (aTc or  IPTG) is removed and AHL is added to activate the systems internal toggle switch. This maintains the toggle switch to its acquired steady state, which is reported with YFP (if aTc was detected) or CFP (if IPTG was detected). During the recognition phase, the system is exposed to any of the two chemicals (aTc or IPTG), with AHL present. Lets compare the systems toggle switch state with the effect of the newly introduced chemical: the system shows a different response if it has previously been exposed to this certain chemical and reports with the same XFP as in the learning phase (YFP for aTc, CFP for IPTG) or if it recognizes a different chemical and reports with a different XFP (GFP for trained with aTc and recognizing IPTG, RFP for trained with IPTG and recognizing aTc). The following table represents all possible paths that may be taken by the system during all phases of operation according to external stimuli: </p>
{| class="wikitable" border="1" cellspacing="0" cellpadding="2" style="text-align:center; margin: 1em 1em 1em 0; background: #f9f9f9; border: 1px #aaa solid; border-collapse: collapse;"         
{| class="wikitable" border="1" cellspacing="0" cellpadding="2" style="text-align:center; margin: 1em 1em 1em 0; background: #f9f9f9; border: 1px #aaa solid; border-collapse: collapse;"         
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  | no
  | no
  | no
  | no
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  | no
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  | non
  |-       
  |-       
  | colspan="7" style="background:#96c9cf;" align="center"| '''Learning'''
  | colspan="7" style="background:#96c9cf;" align="center"| '''Learning'''
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  | yes
  | yes
  | no
  | no
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  | YFP
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  | YFP (fading)<br>finally no color
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  | Trained with IPTG
  | Trained with IPTG
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  | no
  | no
  | yes
  | yes
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  | CFP
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  | CFP (fading)<br>finally no color
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  | colspan="7" style="background:#96c9cf;" align="center"|  '''Recognition'''
  | colspan="7" style="background:#96c9cf;" align="center"|  '''Recognition'''
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  |}
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== System Parts ==
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== System parts ==
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<p>educatETH <i>E.coli</i> was implemented with 11 basic parts designed by the ETH Zurich team. [https://2007.igem.org/wiki/index.php?title=ETHZ/Biology/parts The list of all the parts, plasmids and strains used] is available. Because the part information is retrieved from the Registry, the page needs some time to load. <br>(Are you interested in this information because you want to implement educatETH <i>E.coli</i> in your lab? Then visit our [https://2007.igem.org/ETHZ/Biology/Lab In the Lab] page!)</p>
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<p>educatETH <i>E.coli</i> consists of 11 parts that can be synthesized independently (want to know how this is done in the lab? Then visit our [https://2007.igem.org/ETHZ/Biology/Lab In the Lab] page!) Please note that four of them (4,5 and 8,9) form together two functional system units. They have been separated to ensure comparable part lengths and thus enable easier introduction into plasmids. A detailed list of the used [[ETHZ/Biology/parts | parts can be found here]] (due to many pictures, it takes some time to load).</p><br>
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== Current Cloning Status (26.10.07) ==
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== Applications ==
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We have sent 9 new parts and 3 new plasmids to the registry. As soon as the missing parts are available in their destined plasmids, we will forward them to the parts registry as well. Additionally, we will be able to test parts of our system next week, using the FACS machine provided by [http://www.facs.ethz.ch Alfredo Franco-Obregón's lab].
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<p>Besides being a nice model for describing learning behavior or epigenetics, our system-structure can also be used for potent real world applications:</p>
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==== Multipurpose Cell Lines ====
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<p>Our system can be trained to behave in a specific way by setting its inducible toggle switch to one of its two states. Let’s say this specific states trigger specific and different events such as enzyme synthesis, transcriptional regulation, virion production or cell death. In this case one can view the bacterial cell line containing this system as a multipurpose cell line. Put another way: One has a cell line and adds a certain chemical to train it to the desired behavior instead of constructing two independent cell lines. This means, one applies an “input engineering” instead of a “DNA engineering” approach. If one extends this idea to several inducible toggle switches being harbored in the same cell line, the number of possible phenotypes increases to 2<sup>n</sup>, whereas n equals the number of toggle switches. For example, if one would have 5 toggle switches inside a cell line, 32 different behavior patterns would be possible.</p>
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==== Intelligent Biosensors and Self-Adaptation ====
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<p>As a direct application of the multipurpose cell lines mentioned above, we constructed a system capable of sensing different chemicals and producing different fluorescent proteins. Since the cells can be trained to produce one of several specific fluorescent protein types when a certain chemical is present, one can also view those cells as intelligent biosensors, able to change their properties in a training phase.<br> It can also be possible that the environment (and its chemicals) itself is the training phase and hence that the biosensors are adapting themselves to this environment and hence the desired state.<br> Eventually, the intelligent biosensors are not limited to dedect chemicals. Also temperature, pH or light etc. could be detected with an appropriate system.</p><br>
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== References ==
== References ==
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<p>
 
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[http://www.nature.com/nature/journal/v403/n6767/abs/403335a0.html &#91;1&#93; Elowitz MB and Leibler S] <i>"A synthetic oscillatory network of transcriptional regulators"</i>, Nature 403:335-338, 2000<br />
 
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== To Do ==
 
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=== New ===
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[http://www.nature.com/nature/journal/v403/n6767/abs/403339a0.html &#91;1&#93; Gardner TS, Cantor CR and Collins JJ] <i>"Construction of a genetic toggle switch in Escherichia coli"</i>, Nature 403:339–342, 2000<br />
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<p><ul>
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<li> <span style=color:blue;>Update and correct parts in parts list. Write better in a table</span>
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<li> <span style=color:blue;>Update and correct full system scheme</span>
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<li> <span style=color:red;>What is the proof of concept mentioned?</span>
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<li> <span style=color:red;>Are you sure about the reporters? This is not what I understood. I though YFP and CFP were also during testing. Yes! I'm still updating the text :-)</span>
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<li> <span style=color:red;>I don't think it is wise to make p22cII in P22 cII, since we have in the first way all over the place. Stefan: The problem is that the correct notation is P22 cII and I already used it in all the part describtions. But I could also change it back, no worries!</span>
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<li> <span style=color:red;>Try to improve table with system phases. It doesn't look so nice...</span>
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<li> <span style=color:red;>In the memorizing phase, is there color or not? - Nope, there is no color - There are colors, however they will disappear within 2-3 hours.</span>
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<li> <span style=color:red;>We need to put the complete spaghetti system as well.</span>
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<li> Check my terminology (operator sites etc)
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<li> Put Stefan's updated part on epigenetics
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<li> Fill in table completely, make it more reading-friendly
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</ul></p><br>
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Latest revision as of 23:14, 26 October 2007

ETHZ banner.png

 


Introduction

On this page, you can find an analysis of the function of our system, its biological design, and a list of the parts that make up the system. Under Lab Notes, you can find the ingredients and equipment we used, the electronic version of our lab notebook and a presentation of all the difficulties that we encountered.

educatETH E.coli is a system which can distinguish between anhydrotetracycline (aTc) and Isopropyl-beta-D-thiogalactopyranoside (IPTG) based on a previous learning phase conducted with the same chemicals and the help of acylhomoserine lactone (AHL). It is composed of three subsystems: the subsystem of constitutively produced proteins, the learning subsystem and the reporting subsystem. The constitutively produced proteins (LacI, TetR and LuxR) control the learning subsystem. At the core of the latter there exists an extended version of the original toggle switch found in [1]. That is, a multi-inducible toggle switch. The main difference is reflected in the use of double promoters, so that the toggle switch only changes its state when both, one of the two chemicals (aTc/IPTG), and AHL are present. As AHL is only present during the learning phase, the toggle maintains its state during testing/recognition, and thus can “memorize”. AHL can therefore be seen as a training- or learning substance. In the reporting subsystem, four reporters (fluorescent proteins) allow supervision of (1.) the chemical the system was trained with and (2.) if the system recognizes the chemical it is being exposed to in the recognition phase as one it has been previously trained with or not.

The Complete System

Fig. 1: Gene interaction network of educatETH E.coli
The biological design of educatETH E.coli is presented in Fig. 1 and below, we clarify the function of all depicted components. (Are you interested in how the complex system of Fig. 1 was modeled? Then visit the System Modeling!)

Constitutive Subsystem

The constitutively produced proteins of the system are LacI, TetR and LuxR. The LuxR part has a special function: when AHL is present, it forms a LuxR-AHL complex which acts on the learning subsystem (more on this later). For now, we will consider that AHL is absent and therefore LuxR cannot activate transcription. The TetR and LacI parts behave similarly: more specifically, the TetR protein in the absence of aTc inhibits the production of p22cII and LacI in the absence of IPTG inhibits the production of cI. When aTc is present, however, the p22cII production is no longer inhibited (and thus p22cII is produced). Correspondingly, cI is produced when IPTG is present.

Learning Subsystem

The learning subsystem is a toggle switch with two operator sites. The upper part of the toggle (cI production) has operator sites for the LuxR-AHL complex and p22cII (whose production has in turn been induced by aTc). The LuxR-AHL complex induces cI production, whereas p22cII inhibits it. The lower part of the toggle (p22cII production) has operator sites for the LuxR-AHL complex and cI (which has been induced by IPTG). In analogy to the upper part, the LuxR-AHL complex induces production of p22cII and cI inhibits it. Therefore, the switch always requires the presence of the LuxR-AHL complex in order for it to operate. Its state depends on the presence of p22cII and cI in the system, which in turn was caused through the exposure of the system to aTc and IPTG.

Reporting Subsystem

There are four reporters in the system. CFP (more precisely: enhanced CFP, that is ECFP) and YFP (more precisely: enhanced YFP, that is EYFP) are active during the learning phase of the system and show which chemical the system is exposed to during learning, whereas all four reporters (the latter and GFP and RFP) are active during the recognition phase and show if the system is exposed to the same chemical as in learning or not. More specifically, the YFP production is regulated with help of two operator sites controlled by cI and aTc (TetR inhibitor). cI inhibits the YFP production and aTc induces it. Therefore, YFP is synthesized when the system is exposed to only aTc and cI is not produced within the system (i.e. the system has not been previously exposed to IPTG). The production of the other fluorescent proteins is regulated in a similar manner. Overall, the production of the fluorescent proteins is regulated as follows:

  • YFP gets produced when the system is exposed to only aTc and no cI is produced (i.e. the system has not been previously exposed to IPTG).
  • CFP gets produced when the system is exposed to only IPTG and no p22cII is produced (i.e. the system has not been previously exposed to aTc).
  • GFP gets produced when the system is exposed to only IPTG and no cI is produced (i.e. the system has not been previously exposed to IPTG).
  • RFP gets produced when the system is exposed to only aTc and no p22cII is produced (i.e. the system has not been previously exposed to aTc).

This behaviour is visualized in Fig. 2.
Fig. 2: Flow diagram. This figure shows the protocol with which the final system should be tested, as well as the test results in the form of the reported colors. There are three phases the system has to go through: (1) a training or learning phase in which the system learns an input and stores it in its memory, (2) a memory phase in which the system has to keep the content of its memory and, (3) a recognition phase where the output of the system depends on the content of its memory as well as on the current input.

System Phases

The system operation is divided into three main phases: a learning phase, a memory phase and a recognition phase. During the learning phase, the system is first exposed to one of the two chemicals it is designed to detect (aTc or IPTG). During the memory phase, the specific chemical (aTc or IPTG) is removed and AHL is added to activate the systems internal toggle switch. This maintains the toggle switch to its acquired steady state, which is reported with YFP (if aTc was detected) or CFP (if IPTG was detected). During the recognition phase, the system is exposed to any of the two chemicals (aTc or IPTG), with AHL present. Lets compare the systems toggle switch state with the effect of the newly introduced chemical: the system shows a different response if it has previously been exposed to this certain chemical and reports with the same XFP as in the learning phase (YFP for aTc, CFP for IPTG) or if it recognizes a different chemical and reports with a different XFP (GFP for trained with aTc and recognizing IPTG, RFP for trained with IPTG and recognizing aTc). The following table represents all possible paths that may be taken by the system during all phases of operation according to external stimuli:

System phases
aTc IPTG AHL p22cII cI Reporting
Start
no input no no no no no non
Learning
Trained with aTc yes no no yes no YFP
Trained with IPTG no yes no no yes CFP
Memorizing
Trained with aTc yes no yes yes no YFP (fading)
finally no color
Trained with IPTG no yes yes no yes CFP (fading)
finally no color
Recognition
Trained with aTc
Tested with aTc
yes no yes yes no YFP
Trained with aTc
Tested with IPTG
no yes yes yes no GFP
Trained with IPTG
Tested with IPTG
no yes yes no yes CFP
Trained with IPTG
Tested with aTc
yes no yes no yes RFP

System Parts

educatETH E.coli was implemented with 11 basic parts designed by the ETH Zurich team. The list of all the parts, plasmids and strains used is available. Because the part information is retrieved from the Registry, the page needs some time to load.
(Are you interested in this information because you want to implement educatETH E.coli in your lab? Then visit our In the Lab page!)

Current Cloning Status (26.10.07)

We have sent 9 new parts and 3 new plasmids to the registry. As soon as the missing parts are available in their destined plasmids, we will forward them to the parts registry as well. Additionally, we will be able to test parts of our system next week, using the FACS machine provided by Alfredo Franco-Obregón's lab.

References

[1] Gardner TS, Cantor CR and Collins JJ "Construction of a genetic toggle switch in Escherichia coli", Nature 403:339–342, 2000