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Team:Peking R/Project/Application
From 2011.igem.org
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<td height="318"><p align="center"><img src="http://www.chem.pku.edu.cn/chenpeng/igem/images/project Application1.jpg" alt="" width="466" height="251" /></p> | <td height="318"><p align="center"><img src="http://www.chem.pku.edu.cn/chenpeng/igem/images/project Application1.jpg" alt="" width="466" height="251" /></p> | ||
<p class="picturemark">Figure 1. AND gate performance regulated by different concentration of thiamine pyrophosphate (TPP). The on/off ratio of AND gate increases with ligand concentration, while the single induction of arabinose is diminished, resulting in an AND gate with improved performance.</p></td> | <p class="picturemark">Figure 1. AND gate performance regulated by different concentration of thiamine pyrophosphate (TPP). The on/off ratio of AND gate increases with ligand concentration, while the single induction of arabinose is diminished, resulting in an AND gate with improved performance.</p></td> | ||
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| + | <td height="178"><p><span class="mainbody">The topology of devices leads to parameter sensitivity, thus screening for well performing devices requires laborious, time-consuming refinement cycles. Additionally, lack of well-characterized parts and devices, complicated but not-so reliable models, and fluctuation caused by intrinsic noise of biological system also contribute to the limitation. Similar problems exist in the field of metabolic engineering. When constructing more complex genetic program to perform more complicated functions, such obstacles become more obvious and need to be solved urgently. </span></p></td> | ||
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<p class="picturemark">Figure 2<strong>.</strong> Fluorescence images of <em>E.coli</em> DH5α strain populations with different plasmids from bistable switch mutant library. Each plasmid contains different ribosome binding sites (RBSs) which control the expression of <em>cI434 </em>gene, demonstrating that the ratiometric of green cells to red cells is correlated with translation strength.</p></td> | <p class="picturemark">Figure 2<strong>.</strong> Fluorescence images of <em>E.coli</em> DH5α strain populations with different plasmids from bistable switch mutant library. Each plasmid contains different ribosome binding sites (RBSs) which control the expression of <em>cI434 </em>gene, demonstrating that the ratiometric of green cells to red cells is correlated with translation strength.</p></td> | ||
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<p align="center"><img src="http://www.chem.pku.edu.cn/chenpeng/igem/images/project Application3.jpg" alt="" width="587" height="147" /></p> | <p align="center"><img src="http://www.chem.pku.edu.cn/chenpeng/igem/images/project Application3.jpg" alt="" width="587" height="147" /></p> | ||
Revision as of 23:53, 5 October 2011
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During the first wave of synthetic biology, many functional genetic devices were constructed based on engineering principles, including logic gates, switches, oscillators and sensors. However, most cases do not exhaust the understanding accumulated by previous biological research. Previous design and construction of genetic devices mostly rely on concepts borrowed from electronic engineering, rather than design principles or methods developed specially for synthetic biology itself. |
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Figure 1. AND gate performance regulated by different concentration of thiamine pyrophosphate (TPP). The on/off ratio of AND gate increases with ligand concentration, while the single induction of arabinose is diminished, resulting in an AND gate with improved performance. |
The topology of devices leads to parameter sensitivity, thus screening for well performing devices requires laborious, time-consuming refinement cycles. Additionally, lack of well-characterized parts and devices, complicated but not-so reliable models, and fluctuation caused by intrinsic noise of biological system also contribute to the limitation. Similar problems exist in the field of metabolic engineering. When constructing more complex genetic program to perform more complicated functions, such obstacles become more obvious and need to be solved urgently. |
Figure 2. Fluorescence images of E.coli DH5α strain populations with different plasmids from bistable switch mutant library. Each plasmid contains different ribosome binding sites (RBSs) which control the expression of cI434 gene, demonstrating that the ratiometric of green cells to red cells is correlated with translation strength. |
Figure 3. E. coli producing pigments. When induced by arabinose, the engineered E. coli produced dark-green pigments. Upon addition of different concentration of thiamine pyrophosphate (TPP), the color of the bacteria gradually shifted from dark-green to dark-brown.
This year our team developed a platform for soft-coding of genetic circuits aiming at making screening fast, affordable and more predictable. The platform is composed of a RNA controller toolkit and an RBS calculator as illustrated previously in our project. To demonstrate the versatility and validity of the platform, we utilized the platform to improve performance of two modular genetic devices, AND gate and bistable switch.
