Difference between revisions of "Team:IIT Delhi"

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<p> &nbsp; &nbsp; &nbsp; Engineering of genetic circuits has paved the way for designing diverse networks of interacting species to execute well defined functions in biological systems. This focus in the field of synthetic biology was realized with the construction of the genetic toggle switch (Gardner et al, 2000) and the Repressilator (Elowitz et al, 2000). </p>
 
<p> &nbsp; &nbsp; &nbsp; Engineering of genetic circuits has paved the way for designing diverse networks of interacting species to execute well defined functions in biological systems. This focus in the field of synthetic biology was realized with the construction of the genetic toggle switch (Gardner et al, 2000) and the Repressilator (Elowitz et al, 2000). </p>
  
<p> &nbsp;&nbsp;&nbsp;This year we aim to engineer a synthetic circuit in <I>E. coli </I>, making use of a novel architecture of transcriptional repressor systems that yields square wave pulses. The project would be based on the lines of the five ring oscillator system (Murray et al, 2005), with subsequent emphasis on repressor cooperativity, pattern generation, noise shaping, vertical scaling, steepness and circuit orthogonality. A timely expression of GFP would be used to monitor the state of the system. Quantitative computational modelling and microfluidic chambers would be used to tailor the cellular environment and observe period, steepness, noise and amplitude variations. <br>
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<p> &nbsp; &nbsp; &nbsp; This year we aim to engineer a synthetic circuit in <I>E. coli </I>, making use of a novel architecture of transcriptional repressor systems that yields square wave pulses. The project would be based on the lines of the five ring oscillator system (Murray et al, 2005), with subsequent emphasis on repressor cooperativity, pattern generation, noise shaping, vertical scaling, steepness and circuit orthogonality. A timely expression of GFP would be used to monitor the state of the system. Quantitative computational modelling and microfluidic chambers would be used to tailor the cellular environment and observe period, steepness, noise and amplitude variations. </p>
 
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Successive focus will be laid on replicating and scaling up the synchronous capabilities of the circuit elements out of these chambers into batch cultures to realize its use in the near future, using principles from stochastic chemistry in living cells (Paulsson et al, 2016), which is a significant challenge in all synthetic genetic circuits. <br>
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<p> &nbsp; &nbsp; &nbsp; Successive focus will be laid on replicating and scaling up the synchronous capabilities of the circuit elements out of these chambers into batch cultures to realize its use in the near future, using principles from stochastic chemistry in living cells (Paulsson et al, 2016), which is a significant challenge in all synthetic genetic circuits.
 
Our project poses to be an integral element in genetic networks intended to solve scientific challenges for years to come, ranging from curing chronic diseases like diabetes and cancer, to making light sensitive frequency modulators and bacterial memory storage systems. </p>
 
Our project poses to be an integral element in genetic networks intended to solve scientific challenges for years to come, ranging from curing chronic diseases like diabetes and cancer, to making light sensitive frequency modulators and bacterial memory storage systems. </p>
 
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Revision as of 14:21, 7 July 2017

Square Wave Generator

      Engineering of genetic circuits has paved the way for designing diverse networks of interacting species to execute well defined functions in biological systems. This focus in the field of synthetic biology was realized with the construction of the genetic toggle switch (Gardner et al, 2000) and the Repressilator (Elowitz et al, 2000).

      This year we aim to engineer a synthetic circuit in E. coli , making use of a novel architecture of transcriptional repressor systems that yields square wave pulses. The project would be based on the lines of the five ring oscillator system (Murray et al, 2005), with subsequent emphasis on repressor cooperativity, pattern generation, noise shaping, vertical scaling, steepness and circuit orthogonality. A timely expression of GFP would be used to monitor the state of the system. Quantitative computational modelling and microfluidic chambers would be used to tailor the cellular environment and observe period, steepness, noise and amplitude variations.

      Successive focus will be laid on replicating and scaling up the synchronous capabilities of the circuit elements out of these chambers into batch cultures to realize its use in the near future, using principles from stochastic chemistry in living cells (Paulsson et al, 2016), which is a significant challenge in all synthetic genetic circuits. Our project poses to be an integral element in genetic networks intended to solve scientific challenges for years to come, ranging from curing chronic diseases like diabetes and cancer, to making light sensitive frequency modulators and bacterial memory storage systems.

Before you start:

Please read the following pages:

Styling your wiki

You may style this page as you like or you can simply leave the style as it is. You can easily keep the styling and edit the content of these default wiki pages with your project information and completely fulfill the requirement to document your project.

While you may not win Best Wiki with this styling, your team is still eligible for all other awards. This default wiki meets the requirements, it improves navigability and ease of use for visitors, and you should not feel it is necessary to style beyond what has been provided.

Wiki template information

We have created these wiki template pages to help you get started and to help you think about how your team will be evaluated. You can find a list of all the pages tied to awards here at the Pages for awards link. You must edit these pages to be evaluated for medals and awards, but ultimately the design, layout, style and all other elements of your team wiki is up to you!

Editing your wiki

On this page you can document your project, introduce your team members, document your progress and share your iGEM experience with the rest of the world!

Use WikiTools - Edit in the black menu bar to edit this page

Tips

This wiki will be your team’s first interaction with the rest of the world, so here are a few tips to help you get started:

  • State your accomplishments! Tell people what you have achieved from the start.
  • Be clear about what you are doing and how you plan to do this.
  • You have a global audience! Consider the different backgrounds that your users come from.
  • Make sure information is easy to find; nothing should be more than 3 clicks away.
  • Avoid using very small fonts and low contrast colors; information should be easy to read.
  • Start documenting your project as early as possible; don’t leave anything to the last minute before the Wiki Freeze. For a complete list of deadlines visit the iGEM 2017 calendar
  • Have lots of fun!
Inspiration

You can also view other team wikis for inspiration! Here are some examples:

Uploading pictures and files

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T--YourOfficialTeamName--NameOfFile.jpg. (If you don't do this, someone else might upload a different file with the same "Destination Filename", and your file would be erased!)

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