Difference between revisions of "Team:Jilin China"

 
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   <h1>ABSTRACT</h1>
 
   <h1>ABSTRACT</h1>
   <p>Manystrategies could be used by bacteria to coordinate temperature-dependent gene expression. A well-known class of biological temperature sensitive element is RNA-based thermosensor (RT), which is thermoregulatory RNA sequence in the 5'-untranslated region of mRNAs. RNA thermosensors could induce equilibrium shift between closed and open conformations of the translation initiation region under temperature variation, which influences the mRNA degradation or ribosome accessibility, thereby controlling translation efficiency.</p>
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   <p>Many strategies could be used to regulate the gene expression responding to temperature changes in bacterial cells. A well-known class of biological thermoregulatory elements includes RNA-based thermosensors (RTs), which are located in the 5'-  
   <p>However, natural RNA-based thermosensors have complex structure and narrow sensing temperature range, which become the biggest limitation on their potential application in many areas. To address this issue, based on free-energy method, we designed a series of synthetic RNA-based thermosensors (SynRTs), which have broader sensing range. Then, we predicted their theoretical sensing temperature through software, detected the practical threshold by experimenting setting temperature gradient, and used biophysical model to analyse their individual abilities to modulate gene expression, which include sensing temperature, expression intensity and sensitivity. Then we constructed evaluation model based on random forest, which we use to judge if the thermosensor is desirable.</p>
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untranslated region in mRNA. RTs could sense temperature shift and influence the mRNA stability or ribosome accessibility, thereby controlling translation efficiency.</p>
  <p>After these systematic analytical works, we created a toolkit and matched search engine for potential users in numerous foundational and applied areas. We name this as SynRT toolkit, which have updated from version 3.0 to 1.0. </p>
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   <p>However, natural RNA-based thermosensors have complex structure and narrow sensing temperature range, which become the biggest limitation in their application. To address this issue, we have created a synthetic RNA-based thermosensor (SynRT) toolkit with different sensing temperatures. Additionally, we built a matched search engine for users.
 +
  <p>The SynRT toolkit version has been updated from 1.0 to 3.0, and the latest version is composed of four types of SynRTs:</p>
 
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   <p>Hot-induced 5'UTR</p>
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   <center><p><b>Heat-inducible RNA-based Thermosensor</b></p></center>
 
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  <center><p><b>Heat-repressible RNA-based Thermosensor</b></p></center>
  
 
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  <center><p><b>Cold-inducible RNA-based Thermosensor</b></p></center>
  
  
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  <center><p><b>Cold-repressible RNA-based Thermosensor</b></p></center>
  
  
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    <center><a href="https://2018.igem.org/Team:Jilin_China/Design">Learn More ></a></center>
 
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  <section class="ss3 normal hp">
 
  <section class="ss3 normal hp">
 
   <h1>Human Practices</h1>
 
   <h1>Human Practices</h1>
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  <div>
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    <p>Several Exploration Improved</p>
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    <p>OUR TOOLKITs</p>
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    <p>Meanwhile Inspiring Us to Make</p>
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    <p>A DECADE <br>WORKFLOW</p>
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  </div>
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  <img src="https://static.igem.org/mediawiki/2018/e/e1/T--Jilin_China--Home--HP--1.svg" />
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    <a href="https://2018.igem.org/Team:Jilin_China/Human_Practices">Hear Our Stories</a>
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  <br clear="all"/>
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    <p>Several Innovative Kits</p>
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    <p>Promoting Us to</p>
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    <p>SPREAD and DISCUSS</p>
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    <p>Synthetic Biology</p>
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  <img src="https://static.igem.org/mediawiki/2018/b/bc/T--Jilin_China--Home--HP--2.svg"/>
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  <a href="https://2018.igem.org/Team:Jilin_China/Public_Engagement">Hear Our Stories</a>
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  <br clear="all"/>
 
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  <section class="ss4 normal model">
 
  <section class="ss4 normal model">
   <h1>Model</h1>
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   <h1>Model</h1><img src="https://static.igem.org/mediawiki/2018/b/b2/T--Jilin_China--Home_Model-curve.png" width="100%"></img>
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  <a href="https://2018.igem.org/Team:Jilin_China/Model">Learn More > </a>
 
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    <a href="https://2018.igem.org/Team:Jilin_China/Background"><h3>Background</h3></a>
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    <a href="https://2018.igem.org/Team:Jilin_China/Project/Overview"><h3>Project</h3></a>
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    <div class="ss5_result">
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    <a href="https://2018.igem.org/Team:Jilin_China/Result/Version_1"><h3>Results</h3></a>
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    <a href="https://2018.igem.org/Team:Jilin_China/Part/Search_Engine"><h3>Explorer</h3></a>
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    <a href="https://2018.igem.org/Team:Jilin_China/Parts"><h3>Parts</h3></a>
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    <a href="https://2018.igem.org/Team:Jilin_China/Team"><h3>Team</h3></a>
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Latest revision as of 03:54, 18 October 2018

The Collection of
SynRT
with Different Sensing Temperatures

ABSTRACT

Many strategies could be used to regulate the gene expression responding to temperature changes in bacterial cells. A well-known class of biological thermoregulatory elements includes RNA-based thermosensors (RTs), which are located in the 5'- untranslated region in mRNA. RTs could sense temperature shift and influence the mRNA stability or ribosome accessibility, thereby controlling translation efficiency.

However, natural RNA-based thermosensors have complex structure and narrow sensing temperature range, which become the biggest limitation in their application. To address this issue, we have created a synthetic RNA-based thermosensor (SynRT) toolkit with different sensing temperatures. Additionally, we built a matched search engine for users.

The SynRT toolkit version has been updated from 1.0 to 3.0, and the latest version is composed of four types of SynRTs:

SD Sequence anti-SD Sequence Ribosome

Heat-inducible RNA-based Thermosensor

RC anti-RC RNAse E

Heat-repressible RNA-based Thermosensor

Cold-inducible RNA-based Thermosensor

Stroke Version_1 RC RNAse III

Cold-repressible RNA-based Thermosensor

Learn More >

Human Practices

Several Exploration Improved

OUR TOOLKITs

Meanwhile Inspiring Us to Make

A DECADE
WORKFLOW

Hear Our Stories

Several Innovative Kits

Promoting Us to

SPREAD and DISCUSS

Synthetic Biology

Hear Our Stories

Model

Learn More >

More