Difference between revisions of "Team:IIT-Madras"

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<h2> Welcome to IIT Madras's wiki for iGEM 2016! </h2>
 
<h2> Welcome to IIT Madras's wiki for iGEM 2016! </h2>
  
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<h3>When we started to ideate for iGEM 2016, our goals were to tackle two fundamental issues facing synthetic biology today-precise regulatory control over protein expression, and reliable measurement studies. Our final project will consist of 3 modules-RIBOS, RFP+GFP measurement device, and a modelling study.
  
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RIBOS(RNA Inducible Boolean like Output Switches) is a regulatory system in which presence or absence of mRNA molecules of one gene can modulate the expression of other genes.RIBOS devices are triggered by RNA sequences and give output in the form of activation or repression of translation of specific RNA sequences. We have designed RIBOS for scalability, modularity, orthogonality and composability. We wish to characterize RIBOS for tunability and highly precise outputs. It can be game changing in the field of synthetic biology, it's applications range from detection and quantification of mRNA molecules to the design of extensive independent and modular genetic circuits using forward engineering.
  
  

Revision as of 13:55, 29 June 2016

Welcome to IIT Madras's wiki for iGEM 2016!

When we started to ideate for iGEM 2016, our goals were to tackle two fundamental issues facing synthetic biology today-precise regulatory control over protein expression, and reliable measurement studies. Our final project will consist of 3 modules-RIBOS, RFP+GFP measurement device, and a modelling study. RIBOS(RNA Inducible Boolean like Output Switches) is a regulatory system in which presence or absence of mRNA molecules of one gene can modulate the expression of other genes.RIBOS devices are triggered by RNA sequences and give output in the form of activation or repression of translation of specific RNA sequences. We have designed RIBOS for scalability, modularity, orthogonality and composability. We wish to characterize RIBOS for tunability and highly precise outputs. It can be game changing in the field of synthetic biology, it's applications range from detection and quantification of mRNA molecules to the design of extensive independent and modular genetic circuits using forward engineering.