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Revision as of 13:50, 30 September 2010

iGEM Heidelberg Mission 2010: miBricks

The key to successful gene therapy is integration of tissue specificity and fine-tuned target gene expression. The iGEM Team Heidelberg 2010 unlocks the world of synthetic microRNAs, since focusing solely on DNA has often been inconvenient for medical purposes. We engineered a toolkit for standardized measurements of interactions between artificial miRNAs and their binding sites. From this data we were able to compute an in silico model integrating binding site properties and knockdown percentages. Thus, the expression level of any gene of choice could be arbitrarily adjusted by employing the corresponding binding site design. To produce tissue specific miRNA gene shuttles, we developed an evolution-based method for synthesis of new adeno associated viruses. This enabled us to overcome the natural limitations of virus selectivity. In the future, miBricks could be applied for treatment of diseases like Diabetes and Hemophilia, opening the doors to new Synthetic Biology based medical approaches.

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The iGEM 2010 Heidelberg - Team

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 <center><table id="desc-table"><tr><td><div id ="desc" border=0><center>Please click a Button to get more information!</center></div></td></tr></table></div></center>
-<a class="piclinks" href="javascript:writeText('You are working in bacteria and never heard of U2-OS, SREBP or CYP1A1? Dont worry! Browse our Eukaryopedia and enter the world of mammalian BioBricks. ')" onMouseOver="mouseOver(4)" onMouseOut="mouseOut(4)" onMouseDown="mouseDown(4)" onMouseUp="mouseUp(4)">
+<a class="piclinks" onMouseOver="mouseOver(4); writeText('You are working in bacteria and never heard of U2-OS, SREBP or CYP1A1? Dont worry! Browse our Eukaryopedia and enter the world of mammalian BioBricks. ')" onMouseOut="mouseOut(4)" onMouseDown="mouseDown(4)" onMouseUp="mouseUp(4)">
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-<a class="piclinks" href="javascript:writeText('Our team worked on a computational approach for the rational design of promoter libraries. Similar to existing methods which predict spatial preferences of transcription factor binding sites (TFBS) by detecting statistically overrepresented motives we used Promotersweep to analyze and process the information of over 4000 human promoter sequences. ')" onMouseOver="mouseOver(5)" onMouseOut="mouseOut(5)" onMouseDown="mouseDown(5)" onMouseUp="mouseUp(5)">
+<a class="piclinks" onMouseOver="mouseOver(5); writeText('Our team worked on a computational approach for the rational design of promoter libraries. Similar to existing methods which predict spatial preferences of transcription factor binding sites (TFBS) by detecting statistically overrepresented motives we used Promotersweep to analyze and process the information of over 4000 human promoter sequences. ')" onMouseOut="mouseOut(5)" onMouseDown="mouseDown(5)" onMouseUp="mouseUp(5)">
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