Team:Imperial College London/Autoinduction

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=<font size='5'><b>Module Integration - Autoinduction</b></font>=
 
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<a href="https://static.igem.org/mediawiki/2009/c/ca/II09_MapIndicator_Autoinduction.png" class="highslide" onclick="return hs.expand(this, config1)" title="When glucose in the system runs out, the glucose-sensitive promoter is activated">
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<img src="http://i691.photobucket.com/albums/vv271/dk806/MainOverviewPicAI.jpg" alt="" title="Click to enlarge" width="75%"/>
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<img src="https://static.igem.org/mediawiki/2009/c/ca/II09_MapIndicator_Autoinduction.png" alt="" title="Click to enlarge" width="75%"/>
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Module 2: Encapsulation
 
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=<font size='5'><b>Module Integration - Autoinduction</b></font>=
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==Overview==
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=Overview=
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The autoinduction process switches on <b>Module 2</b> following the accumulation of a predetermined concentration of polypeptide. The term <i>'autoinduction'</i> was chosen as the flipping of this switch is triggered by the chemical composition of the media in which our chassis is grown.
The autoinduction process switches on <b>Module 2</b> following the accumulation of a predetermined concentration of polypeptide. The term <i>'autoinduction'</i> was chosen as the flipping of this switch is triggered by the chemical composition of the media in which our chassis is grown.
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=Design Rationale=
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==Rationale==
Before embarking on the creation of an autoinduction switch, we reviewed a number of possible alternatives. A genetically encoded timer was initially considered however these present a considerable number of problems that were absent from an autoinduction switch.
Before embarking on the creation of an autoinduction switch, we reviewed a number of possible alternatives. A genetically encoded timer was initially considered however these present a considerable number of problems that were absent from an autoinduction switch.
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We believe that the advantages and modularity of our autoinduction switch is such that future iGEM teams will be able to deploy it in a broad range of senarios.
We believe that the advantages and modularity of our autoinduction switch is such that future iGEM teams will be able to deploy it in a broad range of senarios.
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=Initiation=
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==Initiation==
<b>Module 2</b> is triggered by a rise in levels of <i>cyclic Adenosine Mono Phosphate</i> (cAMP). This is because cAMP facilitates the dimerisation of the transcription factor CRP which induces transcription downstream of the PcstA promoter ([http://partsregistry.org/Part:BBa_K118011 BBa_K118011]). The rise in cAMP is correlated with a fall in levels of the primary carbon source (glucose). Thus, by controlling the initial amount of glucose present in the system, we achieve a timer function for the start of <b>Module 2</b>.  
<b>Module 2</b> is triggered by a rise in levels of <i>cyclic Adenosine Mono Phosphate</i> (cAMP). This is because cAMP facilitates the dimerisation of the transcription factor CRP which induces transcription downstream of the PcstA promoter ([http://partsregistry.org/Part:BBa_K118011 BBa_K118011]). The rise in cAMP is correlated with a fall in levels of the primary carbon source (glucose). Thus, by controlling the initial amount of glucose present in the system, we achieve a timer function for the start of <b>Module 2</b>.  
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=Results=
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==Results==
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To characterise the properties of our autoinduction switch, we put the fluorescent protein GFP under the control of the PcstA promoter (<partinfo>BBa_K200018 </partinfo>) as shown below. Preliminary data confirms that the PcstA promoter is repressed by glucose but is active when cells are cultured on secondary carbon sources. The highest output of GFP obtained in our experiments has been on 10% casamino acids. Based on this finding, we have decided to use this as our secondary carbon source.
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===Wet Lab===
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To characterise the properties of our autoinduction switch, we put the fluorescent protein GFP under the control of the PcstA promoter (<partinfo>BBa_K200018 </partinfo>) as shown above. <br>
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[[Image:CRPmedia corrected fluor.jpg|400px|right]]
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Cells with BBa_K200018 were grown overnight in various different media, and the GFP fluorescence was measured. <br>
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After overnight culture, the corrected fluorescence of glucose is almost negligible, showing that <b>glucose represses the PcstA promoter strongly</b>.  <br>
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For all the other secondary carbon sources, <b>10% Casamino Acids in M9 shows the highest corrected fluorescence</b> at 22000.<br>
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<html><a href="https://2009.igem.org/Team:Imperial_College_London/Wetlab/Results#Autoinduction
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"><img style="vertical-align:bottom;" width=50px align="left" src="http://i691.photobucket.com/albums/vv271/dk806/II09Learnmore.png"></a></html><b>&nbsp; About the wetlab results!</b>
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===Dry Lab===
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[[Image:II09_diax_wolf.jpg | left]]We have modelled autoinduction by a number of models, and we hope that experimental results will confirm which model is most applicable to our system.
[[Image:II09_diax_wolf.jpg | left]]We have modelled autoinduction by a number of models, and we hope that experimental results will confirm which model is most applicable to our system.
The first of our diauxic growth models is a cybernetic model developed by Kompala et al [1]. This model shows that glucose (S1) is used up before the secondary carbon source (S2). During this phase, the population (X) is in exponential grow until glucose (S1) runs out. This is followed by a stationary growth phase, and finally the population enters a second exponential growth phase as they start uptaking the secondary carbon source (S2). Another model was developed by Keasling [2] that takes into account the dynamics of the lactose operon.
The first of our diauxic growth models is a cybernetic model developed by Kompala et al [1]. This model shows that glucose (S1) is used up before the secondary carbon source (S2). During this phase, the population (X) is in exponential grow until glucose (S1) runs out. This is followed by a stationary growth phase, and finally the population enters a second exponential growth phase as they start uptaking the secondary carbon source (S2). Another model was developed by Keasling [2] that takes into account the dynamics of the lactose operon.
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//Include a nice diauxic growth curve from the lab
 
<html><a href="https://2009.igem.org/Team:Imperial_College_London/Drylab/Autoinduction  
<html><a href="https://2009.igem.org/Team:Imperial_College_London/Drylab/Autoinduction  
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"><img style="vertical-align:bottom;" width=50px align="left" src="http://i691.photobucket.com/albums/vv271/dk806/II09Learnmore.png"></a></html><i><b>&nbsp; About the models and simulations!</b>
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"><img style="vertical-align:bottom;" width=50px align="left" src="http://i691.photobucket.com/albums/vv271/dk806/II09Learnmore.png"></a></html><b>&nbsp; About the models and simulations!</b>
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==Conclusion==
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We have chosen a strategy of autoinduction to control the initiation of <b>Module 2</b>. Based on experimental data collected by our team, we were able to select 10% casamino acids as the most suitable secondary carbon source for maximal output from the PcstA promoter.
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===Project Tour===
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<a href="https://2009.igem.org/Team:Imperial_College_London/M1"><img width=150px src="http://i691.photobucket.com/albums/vv271/dk806/Module1L.jpg"></a>
<a href="https://2009.igem.org/Team:Imperial_College_London/M1"><img width=150px src="http://i691.photobucket.com/albums/vv271/dk806/Module1L.jpg"></a>
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===Temporal Control Contents===
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<html><center><a href="https://2009.igem.org/Team:Imperial_College_London/Temporal_Control/Chemical_Induction"><img style="vertical-align:bottom;" width="20%" src="http://i691.photobucket.com/albums/vv271/dk806/II09_chemicalinduction.png"></a><a href="https://2009.igem.org/Team:Imperial_College_London/Temporal_Control/Autoinduction"><img style="vertical-align:bottom;" width="20%" src="http://i691.photobucket.com/albums/vv271/dk806/II09_Drylabmainimage1.png"></a><a href="https://2009.igem.org/Team:Imperial_College_London/Temporal_Control/Thermoinduction"><img style="vertical-align:bottom;" width="20%" src="http://i691.photobucket.com/albums/vv271/dk806/II09_Thermoinduction1.png"></a><a href="https://2009.igem.org/Team:Imperial_College_London/Wetlab/Results#Temporal_Control"><img style="vertical-align:bottom;"width="20%"src="http://i691.photobucket.com/albums/vv271/dk806/II09_Wetlabmainimage9.png"></a><a href="https://2009.igem.org/Team:Imperial_College_London/Drylab/Autoinduction"><img style="vertical-align:bottom;" width="20%"  src="http://i691.photobucket.com/albums/vv271/dk806/II09_Drylabmainimage6.png"></a></center></html>
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=Conclusion=
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We have chosen a strategy of autoinduction to control the initiation of <b>Module 2</b>. Based on experimental data collected by our team, we were able to select 10% casamino acids as the most suitable secondary carbon source for maximal output from the PcstA promtoer.  
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<html><table border="0" style="background-color:transparent;" width="100%">
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<td width="20%"><center><a href="https://2009.igem.org/Team:Imperial_College_London/Temporal_Control/Chemical_Induction"><b>Chemoinduction</b></a></center></td>
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<td width="20%"><center><a href="https://2009.igem.org/Team:Imperial_College_London/Temporal_Control/Autoinduction"><b>Autoinduction</b></a></center></td>
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<td width="20%"><center><a href="https://2009.igem.org/Team:Imperial_College_London/Temporal_Control/Thermoinduction"><b>Thermoinduction</b></a></center></td>
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<td width="20%"><center><a href="https://2009.igem.org/Team:Imperial_College_London/Wetlab/Results#Temporal_Control"><b>Wet Lab</b></a></center></td>
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<td width="20%"><center><a href="https://2009.igem.org/Team:Imperial_College_London/Drylab/Autoinduction"><b>Modelling</b></a></center></td></table></html>
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{{Imperial/09/TemplateBottom}}

Latest revision as of 03:52, 22 October 2009

Contents

Module Integration - Autoinduction

Overview

The autoinduction process switches on Module 2 following the accumulation of a predetermined concentration of polypeptide. The term 'autoinduction' was chosen as the flipping of this switch is triggered by the chemical composition of the media in which our chassis is grown.

The 'on signal' orginates from inside the system: hence 'autoinduction'.


Rationale

Before embarking on the creation of an autoinduction switch, we reviewed a number of possible alternatives. A genetically encoded timer was initially considered however these present a considerable number of problems that were absent from an autoinduction switch.

Genetic Timers Autoinduction Switch
Existing genetic timers are unable to provide a long enough delay. The length of our delay can be tuned by altering the composition of our media
They are liable to fall out of phase. Since the whole population are exposed to the same media, a greater proportion will begin Module 2 in synchrony.
They require multiple genes. Only a single promoter is required for our autoinduction switch.


We believe that the advantages and modularity of our autoinduction switch is such that future iGEM teams will be able to deploy it in a broad range of senarios.

Initiation

Module 2 is triggered by a rise in levels of cyclic Adenosine Mono Phosphate (cAMP). This is because cAMP facilitates the dimerisation of the transcription factor CRP which induces transcription downstream of the PcstA promoter ([http://partsregistry.org/Part:BBa_K118011 BBa_K118011]). The rise in cAMP is correlated with a fall in levels of the primary carbon source (glucose). Thus, by controlling the initial amount of glucose present in the system, we achieve a timer function for the start of Module 2.

Results

Wet Lab

To characterise the properties of our autoinduction switch, we put the fluorescent protein GFP under the control of the PcstA promoter () as shown above.

CRPmedia corrected fluor.jpg

Cells with BBa_K200018 were grown overnight in various different media, and the GFP fluorescence was measured.

After overnight culture, the corrected fluorescence of glucose is almost negligible, showing that glucose represses the PcstA promoter strongly.

For all the other secondary carbon sources, 10% Casamino Acids in M9 shows the highest corrected fluorescence at 22000.

  About the wetlab results!


Dry Lab

II09 diax wolf.jpg
We have modelled autoinduction by a number of models, and we hope that experimental results will confirm which model is most applicable to our system.

The first of our diauxic growth models is a cybernetic model developed by Kompala et al [1]. This model shows that glucose (S1) is used up before the secondary carbon source (S2). During this phase, the population (X) is in exponential grow until glucose (S1) runs out. This is followed by a stationary growth phase, and finally the population enters a second exponential growth phase as they start uptaking the secondary carbon source (S2). Another model was developed by Keasling [2] that takes into account the dynamics of the lactose operon.

  About the models and simulations!


Conclusion

We have chosen a strategy of autoinduction to control the initiation of Module 2. Based on experimental data collected by our team, we were able to select 10% casamino acids as the most suitable secondary carbon source for maximal output from the PcstA promoter.

Project Tour



Temporal Control Contents

Chemoinduction
Autoinduction
Thermoinduction
Wet Lab
Modelling

Mr. Gene   Geneart   Clontech   Giant Microbes