Team:MIT

From 2012.igem.org

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<a href="http://2012.igem.org/Team:MIT/Motivation">
<a href="http://2012.igem.org/Team:MIT/Motivation">
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   <img src="http://2012.igem.org/wiki/images/4/44/Mithomepage1.png" alt="What is strand displacement?" border="0" width="300"/>
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   <img src="http://2012.igem.org/wiki/images/4/44/Mithomepage1.png" alt="What is strand displacement?" border="0" width="250"/>
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<a href="http://2012.igem.org/Team:MIT/ResultsFoundational">
<a href="http://2012.igem.org/Team:MIT/ResultsFoundational">
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   <img src="http://2012.igem.org/wiki/images/5/52/Mithomepage3.png" alt="We successfully showed strand displacement to work in vivo!" border="0" width="300"/>
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   <img src="http://2012.igem.org/wiki/images/5/52/Mithomepage3.png" alt="We successfully showed strand displacement to work in vivo!" border="0" width="250"/>
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<a href="http://2012.igem.org/Team:MIT/HumanPractices">
<a href="http://2012.igem.org/Team:MIT/HumanPractices">
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   <img src="http://2012.igem.org/wiki/images/d/dd/Mithomepage5.png" alt="Read about our synthetic biology outreach projects!" border="0" width="300"/><br/>
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   <img src="http://2012.igem.org/wiki/images/d/dd/Mithomepage5.png" alt="Read about our synthetic biology outreach projects!" border="0" width="250"/><br/>
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<a href="http://2012.igem.org/Team:MIT/ResultsSensing">
<a href="http://2012.igem.org/Team:MIT/ResultsSensing">
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   <img src="http://2012.igem.org/wiki/images/8/81/Mithomepage4.png" alt="Sensing / We made strand displacement circuitry compatible with mRNAs as inputs!" border="0" width="300"/>
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   <img src="http://2012.igem.org/wiki/images/8/81/Mithomepage4.png" alt="Sensing / We made strand displacement circuitry compatible with mRNAs as inputs!" border="0" width="250"/>
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<a href="http://2012.igem.org/Team:MIT/ResultsProcessing">
<a href="http://2012.igem.org/Team:MIT/ResultsProcessing">
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   <img src="http://2012.igem.org/wiki/images/b/b7/Mithomepage6.png" alt="Processing / We designed a NOT gate and tested hammerhead ribozymes as part of building our circuitry!" border="0" width="300"/>
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   <img src="http://2012.igem.org/wiki/images/b/b7/Mithomepage6.png" alt="Processing / We designed a NOT gate and tested hammerhead ribozymes as part of building our circuitry!" border="0" width="250"/>
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<a href="http://2012.igem.org/Team:MIT/ResultsActuation">
<a href="http://2012.igem.org/Team:MIT/ResultsActuation">
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   <img src="http://2012.igem.org/wiki/images/b/b0/Mithomepage2.png" alt="Actuation / We designed and tested a circuit showing production of short RNAs which can regulate protein levels!" border="0" width="300"/><br/>
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   <img src="http://2012.igem.org/wiki/images/b/b0/Mithomepage2.png" alt="Actuation / We designed and tested a circuit showing production of short RNAs which can regulate protein levels!" border="0" width="250"/><br/>
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Imagine being able to diagnose and destroy diseased cells using RNA. This can be accomplished by using RNA strand displacement cascades that recognize certain mammalian cell-specific biomarkers, such as characteristic mRNA strands or metabolites, use these as abstract inputs to digital logic gates, and then yield a wide array of desired outputs.
Imagine being able to diagnose and destroy diseased cells using RNA. This can be accomplished by using RNA strand displacement cascades that recognize certain mammalian cell-specific biomarkers, such as characteristic mRNA strands or metabolites, use these as abstract inputs to digital logic gates, and then yield a wide array of desired outputs.
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We propose a new method of implementing the paradigms of sensing, processing, and actuation inside mammalian cells by applying the mechanism of DNA strand displacement from the field of nucleic acid computation to RNA. Traditional synthetic biology approaches seem to have hit a barrier in terms of the number of regulatory components that can be used predictably and reliably, limiting the complexity of cellular circuits.
We propose a new method of implementing the paradigms of sensing, processing, and actuation inside mammalian cells by applying the mechanism of DNA strand displacement from the field of nucleic acid computation to RNA. Traditional synthetic biology approaches seem to have hit a barrier in terms of the number of regulatory components that can be used predictably and reliably, limiting the complexity of cellular circuits.
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On the other hand, the strand displacement method of molecular computing within mammalian cells is highly modular, scalable, and orthogonal. We have demonstrated that RNA can be used as a processing medium, and have proposed novel in vivo NOT gates, which along with AND and OR gates can directly be produced inside mammalian cells. Currently, we are developing modeling platforms to explore kinetics of strand displacement reactions in vivo, as well as designing actuation systems that allow the RNA logic to interface with a variety of protein outputs.
On the other hand, the strand displacement method of molecular computing within mammalian cells is highly modular, scalable, and orthogonal. We have demonstrated that RNA can be used as a processing medium, and have proposed novel in vivo NOT gates, which along with AND and OR gates can directly be produced inside mammalian cells. Currently, we are developing modeling platforms to explore kinetics of strand displacement reactions in vivo, as well as designing actuation systems that allow the RNA logic to interface with a variety of protein outputs.
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Our integrated approach can fundamentally impact the fields of biological engineering, biomedical engineering, and medical diagnostics.  
Our integrated approach can fundamentally impact the fields of biological engineering, biomedical engineering, and medical diagnostics.  

Revision as of 01:21, 4 October 2012

iGEM 2012

Welcome to the MIT iGEM 2012 Team Wiki

What is strand displacement? We successfully showed strand displacement to work in vivo! Read about our synthetic biology outreach projects!

Sensing / We made strand displacement circuitry compatible with mRNAs as inputs! Processing / We designed a NOT gate and tested hammerhead ribozymes as part of building our circuitry! Actuation / We designed and tested a circuit showing production of short RNAs which can regulate protein levels!

Abstract

In Vivo Molecular Computation Using RNA Strand Displacement in Mammalian Cells

Imagine being able to diagnose and destroy diseased cells using RNA. This can be accomplished by using RNA strand displacement cascades that recognize certain mammalian cell-specific biomarkers, such as characteristic mRNA strands or metabolites, use these as abstract inputs to digital logic gates, and then yield a wide array of desired outputs.

We propose a new method of implementing the paradigms of sensing, processing, and actuation inside mammalian cells by applying the mechanism of DNA strand displacement from the field of nucleic acid computation to RNA. Traditional synthetic biology approaches seem to have hit a barrier in terms of the number of regulatory components that can be used predictably and reliably, limiting the complexity of cellular circuits.

On the other hand, the strand displacement method of molecular computing within mammalian cells is highly modular, scalable, and orthogonal. We have demonstrated that RNA can be used as a processing medium, and have proposed novel in vivo NOT gates, which along with AND and OR gates can directly be produced inside mammalian cells. Currently, we are developing modeling platforms to explore kinetics of strand displacement reactions in vivo, as well as designing actuation systems that allow the RNA logic to interface with a variety of protein outputs.

Our integrated approach can fundamentally impact the fields of biological engineering, biomedical engineering, and medical diagnostics.

Sponsors