Team:SJTU-BioX-Shanghai/Project/Application

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As a translational regulatory tool, our device achieves more precise tuning of protein expression when compared with transcriptional tools. The controlling elements we use in this device are codons and tRNAs, the major participants of translation process. Thus manipulating these elements exert direct effects on protein biosynthesis. Here we offer two potential models for how this device can be used in pathway construction.  
As a translational regulatory tool, our device achieves more precise tuning of protein expression when compared with transcriptional tools. The controlling elements we use in this device are codons and tRNAs, the major participants of translation process. Thus manipulating these elements exert direct effects on protein biosynthesis. Here we offer two potential models for how this device can be used in pathway construction.  
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====Model====
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====Model 1====
Many genes are involved in complex metabolic pathways. The expression level of each gene may be different and affecting the production of final product. If a series of genes are under the control of a single promoter, these genes are likely to express on almost the same level. '''(a)'''
Many genes are involved in complex metabolic pathways. The expression level of each gene may be different and affecting the production of final product. If a series of genes are under the control of a single promoter, these genes are likely to express on almost the same level. '''(a)'''
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Our model can be used in building certain metabolic pathways, such as the violacein synthetic pathway. The relative amount of VioE and VioD will influence violacein production. Based on our model, the two genes can be placed under a single promoter yet different productions of the two enzymes can be achieved when we add different number of AGG codons to different sites on the tag with different copy numbers of AGG tandems.  
Our model can be used in building certain metabolic pathways, such as the violacein synthetic pathway. The relative amount of VioE and VioD will influence violacein production. Based on our model, the two genes can be placed under a single promoter yet different productions of the two enzymes can be achieved when we add different number of AGG codons to different sites on the tag with different copy numbers of AGG tandems.  
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[[image:11SJTU-app-vioEvioD.jpg|600px]]
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[[image:11SJTU-app-vioEvioD.jpg|center]]
Different expression levels of the two genes can be achieved which may be used to increase final production.
Different expression levels of the two genes can be achieved which may be used to increase final production.
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====Model====
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====Model 2====
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=====Feedback=====
In biosynthetic pathways, feedback can affect protein production greatly. Our device can act as a feedback regulating tool to regulate the biosynthesis of target protein.Target protein and rare tRNA are under the control of the same promoter. Rare tRNA amount can regulate target protein biosynthesis through the rare codons inserted into the gene.  
In biosynthetic pathways, feedback can affect protein production greatly. Our device can act as a feedback regulating tool to regulate the biosynthesis of target protein.Target protein and rare tRNA are under the control of the same promoter. Rare tRNA amount can regulate target protein biosynthesis through the rare codons inserted into the gene.  
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We inserted the tDNA<sup>Arg</sup> and luciferase gene into T7 operon so that both genes can be transcribed. tRNA<sup>Arg</sup> can be correctly processed and become matured. Luciferase mRNA will be further translated into protein. The induced tRNA<sup>Arg</sup> can facilitate the translation of luciferase-nAGG, achieving positive feedback.  
We inserted the tDNA<sup>Arg</sup> and luciferase gene into T7 operon so that both genes can be transcribed. tRNA<sup>Arg</sup> can be correctly processed and become matured. Luciferase mRNA will be further translated into protein. The induced tRNA<sup>Arg</sup> can facilitate the translation of luciferase-nAGG, achieving positive feedback.  
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==Note: Our device can be used as a regulating tool==
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[[image:11SJTU_FB2468.jpg|frame|center|''Fig.1'']]
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We have tested luciferin reaction in cells. We examined the changes in luciferase enzyme activity over time after rare tRNA expression is induced. The amount of luciferase is reflected indirectly by the bioluminescence emitted from the luciferin reaction. Results are shown below:
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[[image:11-SJTU-compare-4.jpg|frame|center|''Fig.7'' (A)Luciferase (P''bla''-Luc-4AGG([http://partsregistry.org/wiki/index.php?title=Part:BBa_K567006 BBa_K567006])) production reflected by bioluminescence emitted from the luciferin reaction. (B)Luciferase (PT7-Luc-4AGG ([http://partsregistry.org/wiki/index.php?title=Part:BBa_K567009 BBa_K567009])) production reflected by bioluminescence emitted from the luciferin reaction. ]]
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Here we use the above two curves as examples to characterize the working curve of our device. Both curves fits typical titration curve, indicating that our device can function as a regulating tool.
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The rest of the working curves are shown here:
The rest of the working curves are shown here:
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<gallery caption="Pbla">
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<gallery caption="Different Number of Rare Codons with tRNA<sup>Arg</sup>">
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image:11SJTUResultPlbla6.jpg|''Fig.8''
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image:11SJTU_FB2.jpg|''Fig.2'' 2AGG-tRNA<sup>Arg</sup>
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image:11SJTUResultPbla8.jpg|''Fig.9''
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image:11SJTU_FB4.jpg|''Fig.3'' 4AGG-tRNA<sup>Arg</sup>
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</gallery>
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image:11SJTU_FB6.jpg|''Fig.4'' 6AGG-tRNA<sup>Arg</sup>
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image:11SJTU_FB8.jpg|''Fig.5'' 8AGG-tRNA<sup>Arg</sup>
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<gallery caption="PT7">
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image:11SJTUT7-2.png|''Fig.10''
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image:11SJTUT7-6.png|''Fig.11''
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image:11SJTUT7-8.png|''Fig.12''
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</gallery>
</gallery>
'''Note''':Click to see large figures.
'''Note''':Click to see large figures.
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Results showed that all the devices’ working curves fit titration curve, indicating that our device can act as a satisfying regulating tool.
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According to these working curves we proposed that the positive feedback can make the working curves linear instead of titration curves.  
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From this experiment, we noticed that the typical working curve of our device  can be better observed under IPTG induced ''lacI''-Ptrc-tRNA<sup>Arg</sup> ([http://partsregistry.org/wiki/index.php?title=Part:BBa_K567001 BBa_K567001]) compared with UV excitation induced sulA promoter-tRNA<sup>Arg</sup>([http://partsregistry.org/wiki/index.php?title=Part:BBa_K567002 BBa_K567002]), though sulA promoter-tRNA<sup>Arg</sup> responded quicker to signals. So in the above experiments, we test with ''lacI''-Ptrc-tRNA<sup>Arg</sup>.
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=====Linkage=====
Another factor that influences protein biosynthesis may be the relative amount of two proteins. Our device can serve as a linker to regulate the relative amount of Protein A and Protein B. Rare codons are put into Gene A and Gene B. When rare tRNA is produced, it can influence the amount of both Protein A and Protein B, along with rare codon types and numbers.  
Another factor that influences protein biosynthesis may be the relative amount of two proteins. Our device can serve as a linker to regulate the relative amount of Protein A and Protein B. Rare codons are put into Gene A and Gene B. When rare tRNA is produced, it can influence the amount of both Protein A and Protein B, along with rare codon types and numbers.  

Latest revision as of 03:53, 29 October 2011



  • Expansion of Regulating Tools for Synthetic Biology

    I. Multi-Level Regulation

    Fig.1 Multi-Level Regulation

    Our device has expanded the regulating tools for synthetic biology. We control protein biosynthesis through rare codon types, rare codon numbers and rare tRNA amount. Different combinations of these three elements can bring different outcomes in protein expression levels.

    rare codon types: AGA, AGG, CGA, CUA…

    rare codon numbers: 1, 2,3, 4,5, 6,7, 8,9, 10…

    rare tRNA amount: controlled by different strengths of promoters or riboswitch.

    II. Direct and Precise Regulation

    As a translational regulatory tool, our device achieves more precise tuning of protein expression when compared with transcriptional tools. The controlling elements we use in this device are codons and tRNAs, the major participants of translation process. Thus manipulating these elements exert direct effects on protein biosynthesis. Here we offer two potential models for how this device can be used in pathway construction.

    Model 1

    Many genes are involved in complex metabolic pathways. The expression level of each gene may be different and affecting the production of final product. If a series of genes are under the control of a single promoter, these genes are likely to express on almost the same level. (a)

    Yet to achieve maximum production, each protein amount should be individually regulated. Traditionally we use different promoters to control different genes. (b)

    However with our device, genes can be put under one single promoter yet producing different amount of protein. (c)

    application model

    Our model can be used in building certain metabolic pathways, such as the violacein synthetic pathway. The relative amount of VioE and VioD will influence violacein production. Based on our model, the two genes can be placed under a single promoter yet different productions of the two enzymes can be achieved when we add different number of AGG codons to different sites on the tag with different copy numbers of AGG tandems.

    11SJTU-app-vioEvioD.jpg

    Different expression levels of the two genes can be achieved which may be used to increase final production.

    Model 2

    Feedback

    In biosynthetic pathways, feedback can affect protein production greatly. Our device can act as a feedback regulating tool to regulate the biosynthesis of target protein.Target protein and rare tRNA are under the control of the same promoter. Rare tRNA amount can regulate target protein biosynthesis through the rare codons inserted into the gene.

    application model

    We have simplified the process of constructing positive feedback in the metabolic pathways. We simply add AGG codons before the target gene and insert a 74bp tRNAArg gene in the same operon.

    We inserted the tDNAArg and luciferase gene into T7 operon so that both genes can be transcribed. tRNAArg can be correctly processed and become matured. Luciferase mRNA will be further translated into protein. The induced tRNAArg can facilitate the translation of luciferase-nAGG, achieving positive feedback.

    Fig.1

    The rest of the working curves are shown here:

    Note:Click to see large figures.

    According to these working curves we proposed that the positive feedback can make the working curves linear instead of titration curves.

    Linkage

    Another factor that influences protein biosynthesis may be the relative amount of two proteins. Our device can serve as a linker to regulate the relative amount of Protein A and Protein B. Rare codons are put into Gene A and Gene B. When rare tRNA is produced, it can influence the amount of both Protein A and Protein B, along with rare codon types and numbers.

    application model


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