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Team:Peking R/Project
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<p>Project Description</p> | <p>Project Description</p> | ||
| - | <p class="mainbody"><span class="mainbody"><span class="mainbody">In synthetic biology there are basically two approaches for genetic program fine-tuning: hardcoding and softcoding. Hardcoding refers to coding functions and parameters in the fixed formats and values. For example, mutagenesis at promoters or ribosomal binding sites (RBS) generates large number of mutants, each of which, however, is fixed with its performance. Therefore, laborious screening and assaying for object function is needed. The opposite is softcoding, which refers to designs that allow for the customization of performance of genetic programs via external input, such as inducers, without having to edit the DNA sequence case by case.</span></span></p> | + | <p class="mainbody"><span class="mainbody"><span class="mainbody">In synthetic biology there are basically</span></span><span class="project"> two approaches</span> for<span class="project"> genetic program fine-tuning: hardcoding and softcoding</span><span class="mainbody"><span class="mainbody">. Hardcoding refers to coding functions and parameters in the fixed formats and values. For example, mutagenesis at promoters or ribosomal binding sites (RBS) generates large number of mutants, each of which, however, is fixed with its performance. Therefore, laborious screening and assaying for object function is needed. The opposite is </span></span><span class="project">softcoding</span>, which refers to designs that allow for the <span class="project">customization of performance of genetic programs</span> via <span class="project">external input</span><span class="mainbody"><span class="mainbody">, such as inducers, without having to edit the DNA sequence case by case.</span></span></p> |
| - | <p class="mainbody"><span class="mainbody"><span class="mainbody">In our project, we are aiming at establishing an extensible and versatile platform for | + | <p class="mainbody"><span class="mainbody"><span class="mainbody">In our project, we are aiming at</span></span> establishing<span class="project"> an extensible </span>and<span class="project"> versatile platform</span> for<span class="project"> the softcoding of genetic program</span><span class="mainbody"><span class="mainbody"> in bacteria, composed of</span></span><span class="project"> a toolbox</span><span class="mainbody"><span class="mainbody"> and </span></span><span class="project">a methodology</span><span class="mainbody"><span class="mainbody"> -- The toolbox consists of </span></span><span class="project">interoperable and truly modular ligand-responsive riboswitches/ribozymes</span><span class="mainbody"><span class="mainbody">, while the methodology is </span></span><span class="project">automated design of synthetic ribosome binding sites</span><span class="mainbody"><span class="mainbody"> (RBS) with customized translation rate. When combining them together, </span></span><span class="project">a quantitative correlation</span> between <span class="project">the concentration of specific ligand and synthetic RBS strength</span><span class="mainbody"><span class="mainbody"> can be established. Therefore, when tuning genetic program, customized RBS strength at multiple sites can be high-throughputly achieved without having to conduct laborious mutagenesis and characterization, followed by easily </span></span>determining the<span class="project"> configuration of RBS(s) strength</span><span class="mainbody"><span class="mainbody">. Then RBS sequences that meet this configuration will be automatically designed via computer algorithms. </span></span></p> |
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Project Description
In synthetic biology there are basically two approaches for genetic program fine-tuning: hardcoding and softcoding. Hardcoding refers to coding functions and parameters in the fixed formats and values. For example, mutagenesis at promoters or ribosomal binding sites (RBS) generates large number of mutants, each of which, however, is fixed with its performance. Therefore, laborious screening and assaying for object function is needed. The opposite is softcoding, which refers to designs that allow for the customization of performance of genetic programs via external input, such as inducers, without having to edit the DNA sequence case by case.
In our project, we are aiming at establishing an extensible and versatile platform for the softcoding of genetic program in bacteria, composed of a toolbox and a methodology -- The toolbox consists of interoperable and truly modular ligand-responsive riboswitches/ribozymes, while the methodology is automated design of synthetic ribosome binding sites (RBS) with customized translation rate. When combining them together, a quantitative correlation between the concentration of specific ligand and synthetic RBS strength can be established. Therefore, when tuning genetic program, customized RBS strength at multiple sites can be high-throughputly achieved without having to conduct laborious mutagenesis and characterization, followed by easily determining the configuration of RBS(s) strength. Then RBS sequences that meet this configuration will be automatically designed via computer algorithms.
